Categories
Staff Augmentation Uncategorized

How to choose a staff augmentation partner in 2026

How to choose a staff augmentation partner in 2026

When teams choose an augmentation partner in 2026, four things consistently rise to the top:

  • Time-zone alignment for daily standups and genuine paired work, not async hand-offs across continents.
  • Cultural fit that supports product thinking – contributors who understand the why behind the backlog, not only the what of the next ticket.
  • Predictable monthly costs instead of volatile hourly billing that makes budgeting a guessing game.
  • A conversion path to full-time when a contributor proves out, so a great fit doesn’t have to walk away at the end of a contract.
How to get it right

If you’re moving toward this model, a few practical tips separate the teams that benefit from the ones that just add headcount:

  1. Brief on outcomes, not seats. Tell your partner what success looks like in two quarters and let the team be designed around that.
  2. Bring in a pod before you bring in a person for anything complex. A small team that already works together will outpace three strong individuals who don’t.
  3. Insist on embedded leadership when the stakes are high. A Tech Lead or Delivery Manager inside the engagement prevents the small misalignments that compound into missed deadlines.
  4. Test for capability, not credentials. In an AI-flooded market, ask your partner how they actually validate skills.
  5. Treat onboarding as integration. Wire augmented contributors into your SSO, toolchain, rituals, and code of conduct from day one.
The bottom line

After three flat years, IT staffing demand broke out in late 2025, and 2026 is shaping up as the first real up year as companies come off the bench. The ones pulling ahead aren’t spending the most – they’re spending the most deliberately. They’ve reframed augmentation from a way to save money into a way to build the right team, fast, without betting the budget on permanent headcount.

The real question for technology leaders is how do we access exactly the capability we need, exactly when we need it — and keep ownership of the outcome?

How is your team thinking about flexible talent in 2026 – as a cost lever, or as a capability you design? We’d love to hear where you’ve landed.

Categories
Agile Development Artificial Intelligence Case study Staff Augmentation Uncategorized

The Future of Tech Talent and Four Scenarios for the World of 2050

The Future of Tech Talent and Four Scenarios for the World of 2050

AI Abundance. Battling Blocs. Climate Coalition. Digital Darwinism. The BCG Henderson Institute gave the next 25 years four names – and every one of them rewrites how companies will hire, skill, and access the people who build their tech environments.

Most strategy still runs on a single, unspoken assumption: that tomorrow will look roughly like today, only more so. The BCG Henderson Institute’s report, Beyond Tomorrow: Four Scenarios for the World of 2050, makes the case that this is the one assumption no leader can afford.  The only unacceptable strategy is planning for just one future.

BCG built the four scenarios on a quantitative analysis of more than a hundred megatrends, a century of historical data, and dozens of expert interviews, then stress-tested each across twenty economic, geopolitical, societal, and environmental metrics. These scenarios are a map of the plausible – and the spread between them is staggering.

At Zeren, we read futures work like this through one lens: talent. Because whichever of these four worlds we drift toward, each one reshapes the most important question our industry answers – how do companies get the right capabilities, in the right place, at the right moment? Here are the four scenarios in full, followed by what they mean for hiring and IT staff augmentation specifically.

1. AI Abundance – the regulated boom

The world. AI explodes, nearly breaks society, and is then reined in by global cooperation. In BCG’s telling, a wave of AI-enhanced cyberattacks in the 2030s – the “Compute Wars” – cripples hospitals, grids, and transport, affecting more than a billion people.

The result by 2050 is a genuine productivity miracle. Global GDP more than triples, driven not by population or globalization but by soaring productivity – high-income labor productivity grows at roughly 5.7% a year. Clean energy becomes cheap and plentiful, a robotics and “physical AI” revolution transforms manufacturing and services, and the average person works about 25% fewer hours than today – roughly 1,600 a year, down from 2,100, with four-day weeks common in many regions. Healthy life expectancy climbs from 63 to 70. Most nations build expanded safety nets or basic-income programs funded by automation taxes.

The catch is freedom. To combat misinformation, guardrails on digital platforms constrain civil society; governments quietly trade some individual liberty for stability. And the climate is hot – around 2.2°C above pre-industrial levels — though emissions are finally falling fast.

The tech talent earthquake. AI and robots displace much of what people used to do, and the wage premium for expertise erodes across many professions. New opportunity concentrates in three places: caring professions, AI oversight and judgment roles, and skilled manual trades. BCG’s sharpest warning is the rise of AI-only firms – networks of specialized AI agents that run with little or no human involvement, and that appear first in digital-native sectors with minimal physical interface: software development, digital marketing, algorithmic trading. In other words, Zeren’s industry’s heartland.

2. Battling Blocs – the fractured world

The world. Globalization goes into reverse. After a tariff war, a wave of nationalist leaders, splintering of the internet, the collapse of the WTO, and the hollowing-out of the UN, the world hardens into rigid, mutually distrustful blocs that prize security and self-sufficiency over collaboration. Trade falls back to Cold War levels — from 57% of global GDP to 35%. Defense spending nearly triples, from 2.4% to 7% of GDP.

The line between government and business blurs into state capitalism. Traditional multinationals all but disappear, forced to pick a bloc or juggle a fragile web of regional joint ventures. Innovation narrows to defense, dual-use technology, and bloc self-reliance, while consumer and health domains starve for investment. Growth stalls at 1.8% a year, productivity at just 1.0%. Democracies fall from 49% of countries to 25%. Worldwide happiness drops 10%, extreme poverty rises from 8% to 10%, and with multilateral climate action dead, warming still reaches 2.1°C.

The tech talent earthquake. This is the scenario where BCG states it most directly: talent becomes a scarce strategic asset and a dimension of great-power competition. Aging populations and restricted migration tighten labor markets; immigration policy shifts from a growth lever to a geostrategic weapon. The race for talent plays out across three fronts – capturing scientific and technical expertise, sustaining entrepreneurial clusters, and protecting the academic centers that train the next generation. Meanwhile, a non-aligned Global South – India projected to be the world’s third-largest economy by 2029, with Brazil, Indonesia, and others climbing fast – becomes a coveted source of young, expanding workforces.

3. Climate Coalition — resilience over growth

The world. A run of extreme weather events in the late 2020s – catastrophic flooding, deadly heat waves – triggers a global wave of citizen pressure for coordinated action. A “climate club” of industrial nations forms, requiring members to price carbon domestically and apply carbon border adjustments. By 2040 most major economies have joined; by 2050 carbon sells at $300 a ton. It works: warming stabilizes at 1.8°C, the share of unabated fossil fuels in the energy mix collapses from 81% to 35%, and low-carbon sources generate 92% of electricity.

But it’s a delicate balance. Taxes are high and spending is lean. Growth is slow but steady at 2.5% a year, dragged by aging societies and the fading dividends of globalization. The upside is broadly shared – extreme poverty is halved, from 8% to 4%. The friction is generational: with carbon revenues earmarked for restoration and pension liabilities heavy, working-age adults in advanced economies end up with less disposable income than retirees, and politics turns on intergenerational fairness.

The tech talent earthquake. Crucially, in this world AI is a support for humans, not a substitute – job losses happen, but they’re temporary because nations and companies invest continuously in upskilling and reskilling. Innovation pours into low-carbon energy, new materials, biotech, and agriculture, creating demand for entirely new skill profiles. And aging hits hard: labor shortages spread across the Global North, making aging-workforce strategy – late-career pathways, multigenerational teams, knowledge transfer between older and younger workers – a frontline competitive issue rather than an HR footnote.

4. Digital Darwinism — survival of the fittest

The world. The opposite of AI Abundance’s bargain. A race to the bottom on regulation unleashes tech companies, governments retreat, and a survival-of-the-fittest ethos takes hold. Growth is strong – global GDP grows 4% a year, near-tripling – and trade stays open out of commercial self-interest (61% of GDP). But the spoils are brutally concentrated: the richest 1% come to hold nearly half of global wealth, a level not seen since the early 1900s, while the middle class shrinks and extreme poverty climbs from 8% to 12%.

Work fractures into two tiers. Those with creative or high-skill expertise thrive; everyone else faces stagnant prospects, gig-style and short-term contracts mediated by algorithmic platforms, AI “cobots” that double as surveillance, and an epidemic of digital overload, burnout, and addiction. Knowledge gets locked inside megacorporations, eventually dampening the pace of innovation. Democracies fall to 30% of countries. With decarbonization sidelined for adaptation that mostly protects wealthy enclaves, warming hits 2.5°C.

The tech talent earthquake. This is the staff-augmentation model taken to a dystopian extreme: contingent, algorithmically-brokered, commoditized labor at civilizational scale, stripped of security and stability. In a low-trust, cutthroat environment, BCG argues that trust itself — auditable governance, provenance, cyber resilience, genuine investment in people — becomes one of the few durable differentiators. Multitier offerings emerge everywhere: premium for the elite, bare-bones for the mass market.

What the four scenarios mean for hiring and IT staff augmentation

Read together, the four worlds deliver a striking verdict for our industry: the demand for flexible, on-demand access to specialized talent doesn’t just survive in every scenario – it intensifies.

In AI Abundance, the commodity layer evaporates — and the judgment layer becomes gold. If AI-only firms can spin up in software development and digital marketing first, then supplying generic “three backend developers for six months” is the part of our business most exposed to automation. But the same scenario tells us exactly where human value migrates: agenda-setting, taste, assessment, oversight, empathy, and the orchestration of agentic workflows. The staff augmentation that wins here doesn’t sell seats; it sells AI-fluent architects, human-in-the-loop judgment, and the embedded leadership that helps a client become AI-first before an AI-only rival makes the choice for them. Reskilling stops being a perk and becomes the core product.

In Battling Blocs, location becomes destiny — and within-bloc nearshore talent becomes a strategic asset. When mobility tightens and data localizes, a client can no longer freely tap a global talent pool. They need capability inside their own bloc and jurisdiction. For an EU-anchored, Romania-based partner, this is structurally favorable: deep engineering talent, nearshore proximity to Western European clients, and shared regulatory ground at exactly the moment those things become scarce and valuable. The flip side is real — fragmentation makes cross-border sourcing harder and turns talent access into a geopolitical question — but in a bloc-based world, being inside the right bloc with the right people is a moat, not a footnote.

In Climate Coalition, the mandate is reskilling and demographics. Continuous upskilling is explicitly what keeps job losses temporary in this world, and chronic labor shortages across an aging Global North create durable, structural demand for flexible and specialized talent. Add the green-skills gap — climate-tech, energy software, MRV and carbon-accounting systems, new-materials engineering — and you have a market that needs partners who can both close skill gaps fast and design multigenerational, late-career-inclusive workforce models. This is the scenario most aligned with staff augmentation as a strategic capability rather than a stopgap.

In Digital Darwinism, trust is the only defensible margin. This world commoditizes contingent labor and pushes the whole industry toward a price-driven, platform-brokered race to the bottom – with worker wellbeing as collateral damage. The firms that don’t get commoditized are the ones that invest in the opposite: rigorous vetting, embedded delivery leadership, auditable quality, and a genuine duty of care to the people they place. The “pod and squad” model – cross-functional teams with embedded tech leads and delivery managers who own outcomes – is precisely the antidote to anonymous gig brokering. In a low-trust world, being the trusted name is the premium.

The through-line: BCG’s five low-regret moves

Across all four scenarios, BCG identifies five “low-regret” moves that make sense no matter which future arrives. One of them reads almost like a job description for the next era of our industry:

Reimagine talent for aging populations and AI – build models for intergenerational word, more flexible roles, and talent mobility; extend your talent footprint into emerging labor markets; and design new human-machine operating models that combine agentic AI workflows with human oversight, judgment, and creativity.

The other four reinforce the same direction of travel. Enhance structural resilience (diversify, build regional optionality). Build digital flexibility and trust (modular stacks, cybersecurity, verifiable systems). Sharpen sensing and influencing (foresight, faster decision loops). And embrace a broader societal role — because companies that look after workers’ wellbeing will, in BCG’s words, earn a premium in talent markets.

That last point matters most for an industry built on people. In a world where skills expire faster than ever and adaptability beats permanence in every scenario, the organizations that treat talent as a strategic system — not a cost line — are the ones positioned to win.

Where Zeren stands

Strip the four scenarios down to their common core and two truths hold in every one:

First, the half-life of skills keeps shrinking. Whether AI augments work, fragments it, greens it, or commoditizes it, no one builds a 2050-proof workforce by hiring once and standing still. Reskilling, redeployment, and flexible access to specialized tech capability move from “nice to have” to the center of workforce strategy.

Second, the value of getting the right tech capability, exactly when you need it rises in all four futures. That has always been the premise of staff augmentation – and these scenarios suggest the premise only gets stronger. What they also make clear is where the work has to move: up the value chain. Away from filling seats and toward outcome-aligned pods, embedded leadership, AI-fluent talent, and a trust standard that a platform can’t replicate.

That’s the bet we’re already making. We build tech talent models backwards from outcomes rather than forwards from job titles. We deploy cross-functional pods rather than scattered individuals. We treat embedded tech leads and delivery managers as the multiplier, not the overhead. And we work at the intersection of tech talent and human potential – because in every one of BCG’s four worlds, that intersection is exactly where durable advantage lives.

You can’t plan for a single version of 2050. But you can build the one capability that pays off in all of them: the ability to access, shape, and continually renew the tech talent your strategy depends on. That’s the future we’re preparing our clients — and ourselves — to thrive in.


Source: BCG Henderson Institute, “Beyond Tomorrow: Four Scenarios for the World of 2050” (April 2026). All scenario data and projections are BCG’s; the talent and staff-augmentation analysis is Zeren Software’s own.

Categories
Staff Augmentation Uncategorized

IT Staff Augmentation in 2026, A Real Strategic Capability

IT Staff Augmentation in 2026, A Real Strategic Capability

Staff augmentation isn’t new. But the teams getting it right in 2026 are playing a different game. They’ve stopped treating external talent as a line item and started treating it as a capability to be designed. The question on the table is “How do we move the roadmap faster without adding fixed headcount we may not need in nine months?” And here’s how staff augmentation is becoming a real operating model.

The old way of building a team – like open a role, wait six to twelve weeks, hope the hire sticks – is breaking down against a market that moves in sprints.

According to Gartner’s workforce research, the majority of CIOs now name skills shortages as their single biggest barrier to digital transformation.

Here’s how the staff augmentation model is evolving, what’s driving it, and how to use it well.

What IT staff augmentation actually means now

At its core, the definition is simple. IT staff augmentation adds contract or full-time technologists to your team through a specialized partner. You keep product ownership and day-to-day management. The partner handles recruiting, contracting, and operations, so your roadmap keeps moving.

Unlike full project outsourcing, you stay in control: your managers direct the work, and the augmented contributors extend your capacity.

What’s changed is the seniority and shape of who you augment. This is no longer junior developers plugging short-term gaps. Organizations are now bringing in senior architects, data and AI/ML engineers, DevSecOps specialists, and even interim technical leadership on a flexible basis – the exact profiles that are hardest and slowest to hire permanently.

The forces reshaping external tech talent in 2026

Elastic augmentation is becoming the default – including for SMBs

Teams are swapping slow full-time cycles and rigid outsourcing for integrated, squad-based delivery wired into their backlog, toolchain, and SSO. What was once an enterprise play is now realistic for smaller companies too.

From roles to outcomes

The strongest engagements get built backwards from what you need to achieve, not forwards from a job title.

Individuals are giving way to pods and squads

Dropping contributors into a complex environment rarely works. Cross-functional pods – made up of developers, testers, and delivery roles – onboard faster and break less.

And embedded leadership is the real multiplier: Tech Leads who drive architecture and mentor, Delivery Managers who hold rhythm and accountability.

The more complex the environment, the less augmentation looks like staffing and the more it looks like team design.

Fixed cost is converting to variable spend

CFOs are scrutinising headcount growth, and augmentation lets you shift fixed payroll to variable OpEx – capacity you turn up for a delivery push and turn down when the sprint ends.

The economics are hard to argue with, once you price in the full cost of a permanent hire: salary plus benefits, taxes, equipment, and the severance risk if requirements change.

Speed and risk are the headline advantages

An augmented contributor can be in your standup in days rather than the weeks a full-time process takes. A bad full-time hire can cost a meaningful multiple of annual salary to unwind. Augmentation builds the trial period in: if the fit isn’t there, you adjust without a redundancy process.

Candidate quality is the new scarce resource – not the candidate volume

This is the quiet crisis of 2026. AI-generated résumés have flooded every channel, making nearly everyone look exceptional on paper and making it genuinely hard to tell who can do the job. The pipeline isn’t empty; it’s noisy. The advantage now belongs to partners with a deep understanding of capability.

AI is also part of the fix, not just the problem

The same technology flooding the top of the funnel is sharpening the middle of it. AI-driven talent matching now parses skills, experience, and project requirements to surface the right people faster and more precisely than manual screening – compressing the time from brief to shortlist.

The point isn’t to let an algorithm pick your team; it’s to let it clear the noise, so human judgement can focus on the candidates who actually fit.

Nearshore and time-zone alignment matter more than raw cost

Distributed work is standard, but the best collaboration still happens in overlapping hours. Time-zone-aligned pods – close enough for daily standups and real paired work – reduce rework  in ways a 9-hour gap never will.

For European teams, that’s the practical case for nearshore Central and Eastern European talent: senior engineers, shared working hours, and cultural fit for product thinking rather than ticket-pushing.

Zeren’s view

Zeren Software helps technology teams across Europe build and scale with time-zone–aligned, senior engineering talent – assembled as pods, governed by default, and designed around your outcomes. Let’s talk about your roadmap.

Categories
Case study News Uncategorized

Technology – Shifting from a Cost Center to a Value Creator

Technology – Shifting from a Cost Center to a Value Creator

Some companies still treat technology as a cost center,  others treat it as a growth engine.

McKinsey released their Global Tech Agenda 2026 back in February, surveying 632 C-level executives across 69 countries.

Key Findings

Here’s what separates the top performers:

Nearly 2/3 of top-performing companies have their technology leaders “very involved” in crafting enterprise strategy – vs. just 52% of other organizations.

Half of top performers now co-create strategy between business and tech teams continuously throughout the year – nearly double the rate from last year.

28% of top performers were planning to increase their tech budgets by more than 10% in 2026.

More than half of top performers have already transformed their IT function using AI in the past two years.

Forward-thinking CIOs are investing in agentic automation to change how business gets done and in data productization to generate entirely new revenues.

They are replacing annual budget planning with practices that fuel innovation – i.e. product and platform models, continuous decision-making, engineering excellence, and capability-led talent models.

The #1 investment priority is obviously Artificial Intelligence. And this has now surpassed cybersecurity and infrastructure as the top technology investment area.

We already see leaders building in-house capabilities, reskilling their own people, and weaving AI into decision-taking.

Vision for the future

We can find thousands of IT stories out there. But very few still are business transformation stories like, for instance, Aviva. They deployed 80+ AI models across their claims journey. This is how they reduced liability-assessment time by 23 days, cut customer complaints by 65%, and increased their customer satisfaction score sevenfold.

At top-performing companies, technology’s center of gravity has shifted from a cost center to a value creator.

What about you? Are you writing the AI story as we speak? Is your technology leader shaping your company’s future – or just keeping the lights on?

Categories
Staff Augmentation Uncategorized

Is the Hiring Model – As We Know It – Breaking?

Is the Hiring Model – As We Know It – Breaking?

Staff augmentation, recruiting, and hiring talent are being rebuilt as we speak

Every January, the staffing industry produces a fresh stack of “trends to watch.” It’s June now, so it’s worth asking what actually changed. One thing is clear: in tech, the old hiring model is quietly breaking, and a different way of accessing talent and delivering staff augmentation is taking its place. At Zeren, we’ve watched it accelerate from the inside.

The talent gap stopped being a phase

The constraint on your AI roadmap, your cloud migration, your security posture isn’t budget or ambition. It’s people – the right ones, at the right moment. Korn Ferry projects a global shortage of more than 85 million skilled workers by 2030, tech among the hardest hit. ManpowerGroup puts the share of employers struggling to fill roles near 72%. Gartner calls the talent shortage the single biggest barrier to adopting most emerging tech.

AI didn’t take the job — it rewrote it

Around 70% of the skills today’s jobs require are set to change within a few years. The fear that AI simply erases roles misses the point: Stanford HAI’s 2026 AI Index found developer employment for ages 22–25 fell nearly 20% from 2024, while Microsoft’s Work Trend Index found 71% of leaders would now pick a less-experienced but AI-fluent candidate over a more-experienced one without those skills. In other words, the generalist is giving way to the specialist – MLOps, cloud cost engineering, security, applied AI. And as routine work automates, the human skills rise in value: judgment, problem framing, the ability to work with AI in the loop, not around it. Actually, careers stopped being ladders – they’re climbing walls now.

Recruiting/hiring itself is being rebuilt around AI

Automation now touches nearly every stage – sourcing, screening, scheduling, predictive forecasting. But AI-assisted applications have flooded pipelines. The winning pattern is consistent: let AI do the busywork, and keep humans on the relationship and the judgment calls.

Skills-first beats résumé-first; outcomes beat hours

Employers are moving from résumés toward validated, job-ready skills – Gartner expects 75% of hiring processes to include AI-proficiency testing by 2027. Additionally, quality of hire now tops the priority list for around 60% of hiring leaders. Speed still matters, but raw throughput no longer wins. In reality, the question is shifting from who do you need to what do you need to achieve.

Staff augmentation grows up: from bodies to teams

This is the reframe we feel most strongly about. The companies getting it right have stopped treating augmentation as a cost decision and started treating it as a strategic capability, built on three moves: outcome alignment over role-filling, pods and squads over individuals, and embedded leadership as a multiplier. On top of that, there’s a geographic dimension too – as nearshore models mature, Eastern Europe, and Romania specifically, has become one of the strongest hubs for hiring deep, specialized engineering talent in a compatible time zone. Not to mention that when it comes to Romania and AI, there’s also different facet to this matter covered in this article.

To cut it short, the teams investing early in skills, flexible access, and genuine team design are pulling ahead. The ones still operating on “give me three developers” and a stack of résumés are feeling the squeeze.

So here’s the question worth sitting with: are you building for scale, or for complexity? Are you assembling a list of people – or designing a team that already knows how to win?

Besides, we, at Zeren, are convinced of one thing: the companies that thrive will be the ones who access the right capability, at the right moment, built the right way.

If you’re rethinking how your team gets built in 2026, let’s talk.

Categories
Artificial Intelligence Case study Uncategorized

Why your AI agents keep failing – and it’s not AI

Why your AI agents keep failing – and it’s not AI

Most companies experimenting now with AI agents never manage to scale them. Fewer than one in ten do. The problem, almost always, is what’s underneath: the data.

The gap everyone is trying not to talk about

So, there’s a version of the AI story that sounds like this: companies deploy AI agents, the agents automate complex tasks, productivity soars, and everyone wins. That version exists. It’s just rarer than the headlines suggest.

In other words, according to a McKinsey study published in April 2026, roughly two thirds of enterprises worldwide have run experiments with AI agents. Fewer than ten percent have managed to scale them into something that delivers real, measurable value. And the failure isn’t usually the AI itself – it’s what the AI is running on.

“Eight in ten companies say fragmented, siloed data is what stops them from scaling AI agents.”

What good foundations actually look like

Actually, McKinsey’s research identifies four steps that separate organisations managing to scale agentic AI from those who get stuck in pilot purgatory. They’re worth understanding as a sequence – each one builds on the last.

  1. Find the right workflows to automate. Not everything benefits from an AI agent. The organisations getting results start by identifying a small number of end-to-end processes where autonomous decision-making could genuinely change outcomes – and map exactly what data those processes would need.
  2. Clean up the data architecture, layer by layer. This doesn’t mean rebuilding everything from scratch, it actually means modernising how data flows, connects, and becomes usable – progressively. Thus, data from different systems (CRM, supply chain, finance) needs to speak the same language.
  3. Move from cleanup sprints to continuous quality management. One of the most common failure modes is treating data quality as a periodic project. In an agentic environment, we should be able to monitor data quality in real time, with automated checks.
  4. Build governance for what agents are allowed to do. As agents gain autonomy, the rules governing their behaviour become the primary mechanism of control. Clear policies – defining what data an agent can access need to be automated and embedded. Human roles shift from doing the work to supervising and orchestrating agent-driven workflows.

Not to mention that the thread running through all four steps is the same: we need to treat data as infrastructure.

Where Zeren fits into this picture

In fact, this is the layer of work Zeren’s consultants operate in. We have consultants like Sânziana for whom the data architecture makes the AI models reliable.

Sânziana, one of Zeren’s senior data architects, is currently leading a Business Intelligence engagement for a major manufacturing company in the Nordics. Her framing of the problem captures it well:

“Without properly modelled data, AI cannot produce good results. We are among the fortunate ones for whom the rise of AI brings more work, not less.”

What Zeren Software does

Nevertheless, Zeren connects specialist data professionals – data architects, data engineers, BI consultants, AI engineers – with complex international projects. Our consultants work across industries building the data foundations that make AI actually usable in production environments.

The question worth asking now

So, if your organisation is planning an AI initiative, the most useful diagnostic relates to the data underneath the AI model. Is it connected or consistent? Is it governed? Do your agents have access to what they need, and only what they need? All these are questions to consider.

“In the agentic age, data foundations are becoming the primary source of competitive differentiation.”

Undoubtedly, for the companies already operating at scale, this prediction is already a sheet fact.

Curious about how your data infrastructure stacks up? Get in touch with Zeren.

Categories
News

Exploring Leadership at the 16th Edition of FFIR with Zeren

Exploring Leadership at the 16th Edition of FFIR with Zeren

The 16th edition of the Festival of Film and Histories Râșnov (FFIR) is set to captivate audiences from August 9th to August 25th. This year’s theme, “LEADER(SHIP),” delves into the complex nature of leadership throughout history and its impact on society. Spread across Râșnov, Brașov, Codlea, and Feldioara, the festival promises an engaging blend of cinema, history, and intellectual discourse.

Zeren: Proud Sponsor of FFIR 2024

Zeren continues its tradition of supporting cultural and intellectual events by proudly sponsoring FFIR 2024. As a leader in bespoke software solutions, Zeren specializes in creating custom software tailored to the unique needs of each client. Their services include enterprise-grade applications, mobile and web solutions, system integrations, and data management tools. Zeren’s mission is to empower businesses with innovative technology that drives efficiency and growth.

 

The partnership with FFIR underscores Zeren’s commitment to fostering environments where creativity and leadership can thrive. By supporting this festival, Zeren aims to inspire thought-provoking discussions and celebrate the art of storytelling through film.

A Unique Festival Experience

FFIR 2024 stands out with its diverse program that includes film screenings, concerts, lectures, summer schools, documentary competitions, debates, and exhibitions. The festival venues, known for their historical significance, provide a fitting backdrop for exploring this year’s focus on leadership.

The Leadership Theme

This year’s theme, “LEADER(SHIP),” invites participants to explore what history teaches us about leaders and leadership. Are historical figures as heroic as depicted, or were they seen as corrupt and tyrannical by their contemporaries? The festival will examine modern leaders like Emmanuel Macron, Greta Thunberg, and Elon Musk, asking whether true leaders are born or made and what qualities drive them to the top.

Engaging Discussions and Events

FFIR 2024 will feature engaging discussions on the role of leaders in shaping societies, both historically and in the modern era. With elections happening globally, including Romania, the festival’s theme is particularly timely. Attendees can look forward to debates on how leaders influence not only politics but also business, science, culture, and education.

 

Join us at FFIR 2024 to explore these critical questions and celebrate the intersection of film and history. Together with Zeren, we invite you to be part of an unforgettable experience where leadership and creativity converge.

 

For more details about the festival, visit https://www.ffir.ro/

Categories
Case study IT Project Management

Case Study: Zeren Software’s Oracle FLEXCUBE Implementation Project for a Major Banking Client

Case Study: Zeren Software’s Oracle FLEXCUBE Implementation Project for a Major Banking Client

In today’s fast-paced financial landscape, maintaining cutting-edge technology is crucial for banks to stay competitive. Recognizing this, one of the largest banks in the Nordics embarked on an ambitious project to upgrade its core banking system as part of its Core Banking Transformation program. The goal was to enhance business agility, streamline connectivity, and optimize operations through the implementation of Oracle FLEXCUBE. Zeren Software was entrusted with this critical project, providing a team of skilled project managers to ensure its success.

Project Background

Our client, a prominent Nordic bank, launched a comprehensive transformation initiative encompassing four major streams:

  1. FLEXCUBE Transformation
  2. Non-production Platform Delivery
  3. Pan-Regional Integration Platform
  4. Infrastructure and Network Strategy Implementation (Data Center Move)

The FLEXCUBE Transformation project is a cornerstone of this initiative, involving the upgrade of FLEXCUBE from version 8 to 13, integration with over 40 satellite systems, and ensuring robust business intelligence (BI) and data warehousing (DWH) reporting.

Project Scope and Objectives

The specific role Zeren Software played focuses on the BI/DWH stream within the FLEXCUBE Transformation project. Key objectives included:

  • Clarifying Business Requirements: Ensuring business requirements are clearly defined and accepted by stakeholders.
  • System Upgrade: Upgrading FLEXCUBE from version 8 to 13.
  • Integration: Seamlessly integrating FLEXCUBE with over 40 satellite systems and a data warehouse.
  • BI and DWH Reporting: Ensuring uninterrupted BI and DWH reporting during the system transition.

Role of Zeren Software’s Project Managers

Our team of project managers was tasked with overseeing the BI/DWH stream, managing the end-to-end project lifecycle. Their responsibilities include:

  • Project Lifecycle Management: Leading the BI/DWH stream from initiation to completion, ensuring all milestones were met.
  • Stakeholder Coordination: Working closely with various stakeholders to define and document product and process requirements.
  • Migration Strategy: Developing and executing a comprehensive migration strategy, ensuring business and operational readiness.
  • Training and Testing: Facilitating end-user training and ensuring comprehensive test case documentation.
  • Integration Management: Managing the integration and configuration of FLEXCUBE with existing systems to maintain reporting accuracy and compliance.
  • Dependency and Risk Management: Identifying and managing risks, ensuring effective communication and coordination across all project streams.

Challenges and Solutions

The project presented several challenges, including managing dependencies across four major streams and ensuring minimal disruption to daily operations. Our project managers addressed these challenges through:

  • Proactive Risk Management.
  • Effective Communication.
  • Robust Testing Protocols.

Results and Impact

The successful upgrade of FLEXCUBE will result in significant improvements for the bank:

  • Enhanced Business Agility: The upgraded system will allow the bank to respond more swiftly to market changes and customer needs.
  • Streamlined Connectivity: Improved integration with other systems will optimize processes and data flow.
  • Operational Efficiency: Automation of routine tasks and enhanced data management will reduce operational costs and improve efficiency.

Conclusion

Zeren Software’s involvement in this critical project underscores our commitment to delivering high-quality solutions that drive business success. The successful implementation of Oracle FLEXCUBE for one of the largest banks in the Nordics will not only enhance their operational capabilities but also position them at the forefront of digital banking transformation. As the financial industry continues to evolve, Zeren Software remains dedicated to supporting our clients in navigating their digital journeys, ensuring they remain competitive and innovative in a rapidly changing market.

 

 

 

 

 

 

 

 

Categories
Case study

Case study: Zeren Software’s Cloud Cost Optimization Project for a Major Media Client

Case study: Zeren Software’s Cloud Cost Optimization Project for a Major Media Client

Client Overview

We collaborate with a multi-billion-dollar conglomerate, representing approximately 2400 companies within the marketing sector. The client conglomerate spans various sectors including Media, Data, Public Relations, Brand Consulting, Production, Health & Wellness, and Integrated Networks. Headquartered in the UK, the client embarked on a significant cloud transformation journey, migrating hundreds of applications from on-premises infrastructure to leading cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Challenge

The client faced the challenge of efficiently managing the cloud transformation of its entire group, encompassing a diverse range of applications across multiple business verticals. With the migration to cloud platforms, there was a pressing need to optimize cloud costs without compromising application performance and quality. The client sought a partner with expertise in cloud cost optimization to ensure the success of this transformation initiative.

Solution

Zeren Software deployed a specialized team of experts comprising roles such as Team Lead, Senior Cloud Engineer, FinOps Specialist, and Project Manager to address the client’s cloud cost optimization needs. Leveraging their experience with tools such as IBM Turbonomic and CloudHealth, the team meticulously analyzed the client’s cloud usage and performance metrics. By closely collaborating with the client’s DevOps and technical teams, Zeren Software team developed tailored cost optimization strategies while ensuring the continued quality and performance of applications.

Implementation

The Zeren Software team employed a proactive approach, engaging with client stakeholders including heads of operations in the respective companies and application owners. Through effective communication and collaboration, they gained insights into the specific requirements and challenges of each application. Utilizing their planning and execution skills, the team implemented targeted cost optimization solutions, leveraging intelligent automation and AI-powered insights provided by IBM Turbonomic.

Results

Within just three months of project initiation, the client witnessed a significant reduction in cloud costs across a subset of applications, marked by a notable 2.7 mil USD decrease in expenditure. This initial success validated the effectiveness of Zeren Software’s approach and solidified their partnership with the client. Encouraged by these results, the client expressed intent to expand the optimization efforts to encompass the remaining applications slated for cloud migration.

Key Takeaways:

  • Zeren Software’s collaborative approach, coupled with deep expertise in cloud cost optimization, enabled the client to achieve tangible results within a short timeframe.
  • Effective communication and engagement with client stakeholders were instrumental in understanding unique requirements and driving successful outcomes.
  • Leveraging advanced tools such as IBM Turbonomic and CloudHealth empowered the team to develop tailored optimization strategies, balancing cost efficiency with application performance.

Future Outlook

As the client’s cloud transformation journey continues, Zeren Software remains committed to optimizing costs and maximizing the value of cloud investments. With ongoing collaboration and innovation, the partnership between Zeren Software and the client is poised for further success in achieving cloud cost optimization objectives across the entire application portfolio.

At Zeren Software, we understand the complexities of migrating to leading cloud platforms while ensuring cost efficiency and application performance. Let us tailor solutions to your specific needs and challenges, leveraging our team of experts and cutting-edge tools.
Contact us today to discuss how we can drive significant reductions in your cloud expenditure while maintaining top-notch application quality. Your optimized cloud awaits—reach out now to embark on this transformative journey with Zeren Software.