Skip to main content

How to build a new revenue engine in 3 months

High-quality, reliable software delivery under immense time and regulatory pressure. A Central European bank had reorganised a thousand engineers for speed, stood up three digital labs, and still watched its unsecured loan slip seven months before the project was scrapped. We restarted it and launched country-wide in under four months.

The full narration, as text​

Everything said over the deck, written out, with each page of the deck where it goes up in the talk. Read it instead of watching if that is faster for you — it is the same argument and it is all here.

Transcribed from the recording, in the speaker's own words. The cue above each part says what is on screen while it is spoken; click a slide to open the deck full-page and walk it with the arrow keys.

On camera

Who I am and what this talk is​

Your organization resists digital transformation because no-one has shown the success it creates.

Good morning, day, afternoon or evening! I am Sandor Nagy, founder of AerelonTech consulting and principal architect. Today I am going to show you how a small product launch can succeed inside of a large organization and kindle the spark for transformation.

Page 1 · Situation

A bank that had already reorganised for speed​

Central European bank, 1000+ engineering workforce and staff, on the path for digital transformation, breaking down the silo walls, hoping the decisions pushed downward into self-organizing teams would buy faster delivery and that turns into increased market share.

Situation

Real test of strategy comes with implementation.

On paper, any team and software can work. However complexity unveils itself when attempts are made to make the plans a reality. When that breaks and projects fail, we call it "slideware".

Incumbent bank

Career for talent

Digital Labs

Foresight

Implementation

Launched products

Unsecured Cash Loan

Product unit

Retail BankingLoan journey
Risk ManagementCredit scoring
Compliance & Financial CrimeAML, sanctions, screeningeKYC
Operations / Clearing & Settlementverify, match, settlePayout
Finance & Product Accountingfinancial statements, regulatorsProduct P&L
Human Resources & Legalglobal recruitment, compensation, contracts, litigationLoan terms
Core PlatformFlexCube, etc.Loan ledger
Applications & Software EngineeringMobile app
Data ManagementBI, AI/ML, data lakeFunnel data
Infrastructure Managementcloud, on-prem., BAU operationsLanding zone
DevOps & Site Reliability EngineeringCI/CD, IaC, DRP, BCPPipeline
Cybersecurity & Information SecurityThreat model

The slice as one product. The coloured parts of the component map on page 4.4, owned by one team with one backlog and one budget.

1

Once a large incumbent bank started a multi-year digital transformation, reorganizing one thousand plus staff in hopes of faster product delivery. Yet as time went by, the outcomes did not arrive into customers' hands as expected. The organization dragged.

You see, a digital product requires more than code to function, to deliver value and be paid for. Even if we talk only about a loan, a product that worked for hundred years without computers ever existing.

A loan needs enforceable contract, financial tracing, and countless other areas, just look at each line here that represents a function which an unsecured cash loan builds upon.

The strategy, on paper, was sound. When put into practice, the real bottlenecks showed up:

  • seniors struggle to learn on tech challenges in a stable environment, they are simply not exposed to a wide range of experience,
  • breaking down siloes always harder than it seems, people agree at first to take part then pull back when real trade-offs arrive,
  • avoiding failure is natural, as we tend to think we are evaluated by each mistake, which stifles risk taking, leading to endless planning before action,
  • and finally, the imagined and sold scope at a project start always bigger than it seems, and a soft lock-in done by manager promises can't be walked back.

Page 2 · Complication

When the pressure turns into "this isn't worth it"​

When set up 3 new digital labs, speed lagged behind expectations, onboarding and current account delivered on 1 year+ timeline, unsecured loan tried with a vendor and scrapped the project after 7 months delay over expectations before restarted with us, me leading the engineering delivery to successful country launch in under 4 months from beginning to end.

Complication

Internal forces

External forces

Digital Transformation
(scale 3 labs to 1000+ workforce)

2

Putting all these internal pressures onto multi-year long projects, combined with external competing pressures can lead to a destructive realization: we are wasting money on a transformation that doesn't worth it.

Even so, in the 21st century we would be bold to believe digital is not a necessity. Yet this exact thought process emerges from the pressure to bring revenue for stakeholders. A leader must balance all these forces, adapt throughout years of challenges, achieve a lot in the process that is hard to quantify.

But delays from expectations can sink all those efforts. This particular DX project faced its setback as such.

Page 3 · Question

Under four months, the worst failure mode, and a country-wide launch​

We delivered on time, ran into the worst fear (issue loan to a person who shouldn't get one) that we overcome instantly, and rolled out country wide in one week after a closed test of 10 loans, with total success.

Question

<4 months, delivered
on time and budget

After our serious push for 3 months building and 1 month friends and family testing and roll-out, we successfully completed the project.

Client team continued working on it for the coming 5+ years as the product generated continuous revenue over its lifetime.

The architecture became a blueprint for 3+ more teams to build upon, enabling wide variety of unforeseen implementations.

Worst fear experienced:
wrong loan issued accidentally

Second friends and family tester in a row got their loan to their account as quickly as we expected. Risk and compliance testing with us flagged that the loan should not have been issued due to a single true/false value failing manual checks.

A negated condition, a missed default value on the 800+ property risk integration was the root cause.

Loan recovered, the worst that could happen did and the world didn't stop.

Country-wide roll-out with no
incidents on first try

After the 10 close-circle friends and family tests (issued real loans), planned roll-out took 2 weeks for a population of 20 million.

Architecture was designed to handle scaling from day 1 - based on choreography.

Friends and family tests caught key bugs, covered 80% of problems (Pareto-principle).

Why did we succeed where the previous attempt failed?

3

From that setback, a stronger approach emerged and we were called in to deliver. And we did. In under 4 months, we built the application as expected, we even did the worst possible failure mode, and yet we rolled out a safe, reliable and secure product experience country-wide.

Page 4 · Four pillars

Why it worked, in four parts​

4 pillars held up our chances to a successful delivery in such a short time: our multi-disciplinary team, co-locating for the crucial phase, the year leading up set us up for success and we were supported in smart descoping during the engagement. Let's break them down one by one.

Why did we succeed where the previous attempt failed?

E-shaped team

Co-locating experts

Setting up for success

Descoping

CEO's vision and sponsor's strategic support

4

But what enabled us to deliver while the previous team was disbanded?

I pieced it together months after the project ended by interviews, discussions, and from the documents I had access to and got to 4 key distinctions:

  1. Our team had multi-disciplinary members, a single member who could handle 3-4 distinct areas in one. The E-shaped team.
  2. We co-located every expert needed with the team. This can be done remotely, the key is that all team member's success is tied to the product launching, not to their previous day to day.
  3. Previous attempts and long preparation on multiple fronts actually set us up for success.
  4. And we were descoping. I called it "using a machete on the JIRA tickets".

On camera

Where genAI fits, and where it does not​

In 2026, you would certainly ask, where is genAI in this picture? Would it have changed anything?

And my answer, after leading many projects with and without it, that it fundamentally did not change anything. Yes, it is useful at certain pattern matching heavy work, one single conversion of 2 days work would have been hours with it during this project. That is less than 0.2% of the project's total FTE bandwidth.

3 months × 4 weeks × 5 workdays × 8 hours = 480 hours
480 hours × 24 people = 11,520 workhours total
32 hours spent on a pattern matched problem → 8 hours with genAI rather

When you are creating something new, understanding doesn't come from an average-machine token karaoke. Decisions taken, not delegated to a black box by the thousands so your unique product can be built by the mean-regression of all text on the global internet.

There are components to the real world complexity that you can not put into equations and quantify. Those qualities are now being lost if you rely on genAI as a replacement to product engineers, to product design, to user experience, to experiments.

Back to my case study, let's break down each component that turned a multi-year struggle into a 3 month delivery sprint and a success story for 5+ years.

Page 4.1 · Product unit

I to T to E, and then a team​

When decisions made inside a single head, alignment ceases to be the biggest bottleneck in delivery. To safely empower such way of working, a small team of E-shaped talent forms the multi-disciplinary product unit.

For example, when product owner decides on design alternatives instead of a chain of higher-ups cut days of waiting and delay from each sprint.

Product unit

I-shaped

Specialist

Deep in one discipline,
narrow outside it.

E.g. an engineer who focuses on a single discipline, like frontend or backend and could not yet independently deliver on tasks outside of their expertise.

We all start even before here, however if a single discipline depth is continued beyond senior levels, the expertise becomes academical and hits a wall in pragmatic application.

T-shaped

Full-stack
specialist

One depth, plus the
full-stack basics around it.

E.g. an engineer who focuses on backend services, yet can build the frontend, database, CI/CD, and even design the basic layout reusing the examples around him.

Wouldn't be able to innovate e.g. on frontend, as fast a specialized talent, but won't be affected on delivery speed by the absence of them either.

E-shaped

Multi-disciplined
engineer

Several deep disciplines
in one head.

E.g. a solution architect who is well versed in backend, frontend and databases can shape how those disciplines work best together by deeply understanding all viewpoints.

Such talent's best lever is to coach more specialized talent, to input and shape tech policy decisions and keep building regularly to stay sharp.

Team

E-shaped team

Moves faster, with a
smaller footprint.

E.g. a multi-disciplinary product team, who can decide on contractual terms with users, design new experience and deliver them all at once without external dependencies.

Can be simulated with E-shaped leaders and T-shaped talent on the cost of communication overhead.

Grows

Grows

Forms

4.1

One of the major challenges to put together a team is that so much of an individual is not quantifiable, hence the team chemistry can't be predicted either. But a great model I learnt over the years is to look at people as complex individuals, understand their impact both in depth and width, and then to nurture them into a unit that can handle any challenges on their own.

Starting from the individual journey, most people leave university or their first jobs they become an expert in one thing. Frontend, backend, banking, product, etc. The I-shaped specialists.

Then as they work more within a team, have to pick up pieces from others, switch and change around to handle new challenges, they start to be able to deliver more complex solutions alone. May not be the best solutions outside their expertise, but workable ones. These were the full-stack engineers who handled a single feature through all layers of software. The T-shaped seniors.

Then as years go by, some move to other disciplines and deepened their expertise. Now they are able to shape outcomes to higher degree, who understands the intricacies of more disciplines, e.g. a solution architect who has built platforms, backends, frontends, databases under heavy load, caching, etc. Takes decade or decades but these are the E-shaped, multi-disciplinary experts.

Now a team can be put together from any combinations of the previous. And in a healthy one you will find all of those profiles. But the backbone for a fast delivery team comes from the E-shaped individuals due to a single trait: decisions are made inside their head doesn't need overhead in leadership.

Empowering a team like this eliminates a lot of bottlenecks. Form them for strategic projects on a tight deadline. Disperse the E-shaped so they can uplift, coach and train others to become such power.

Page 4.2 · Co-location

Co-location is an incentives question​

Judgement trained over decades in key experts and this is what you have to put into the same room to collaborate against the common incentive with enough latitude to improvise.

Co-location

E-shaped members bridging gaps

Every project carries unknown unknowns, the gaps no planning can ever close. Trying to will just leave the project in forever limbo.

This is where the E-shaped talent improvises using their wide skills.

E.g. reverse engineering a salary/payslip service with no documentation so we can implement a black box for auto-testing as we couldn't control the answers from even the test system.

Co-location of all necessary experts
(on-site, hybrid, remote)

Matching the scope of the vertical being built, take one expert from each critical department and align their incentives with the product's success.

Eliminates fragmented attention, cost of context switching drops dramatically.

E.g. risk and compliance was testing end-to-end with us, cutting 2 weeks of back and forth, and legal reviewed copy from day 1, sparing work for single sentences.

Strategy and impact clarity for all team members
(vision)

To identify which scope element carries critical load, each member of the team has to fully understand the strategic goal this product serves.

Descoping unimportant parts on the fly was supported by sponsors.

E.g. digital signature integration reused previous sub-par UX, but dropped 3 months of work out of the scope, and turned out end users didn't care.

Product owner

Tech lead

Legal

Risk

Compliance

Security

Accounting

Operations

Marketing

Core banking

Product owner and tech lead

5 engineers

3 integration engineers

5 subject-matter experts

8 more experts supporting from their own units

4.2

Rather consequently, the expertise built up over decades of work, solving different challenges in those experts are a sought after help in every organization. Without a strict policy how to protect their focus, they will be pulled to many direction at once.

What happens when you are trying to run into many different directions in a rapid succession? Run up, down, now back up, left, then right? You won't be as fast as if you would running just forward with no directional change.

Co-locating a team for me is not just putting them into a single room. That can help in circumstances, especially during forming phase, early. But really it means that the team members success is tied to the team's success.

It is an incentives question. If an expert is evaluated on how many different requests they fulfilled, their focus will be always divided. If they are evaluated on their impact to a handful of strategic projects, they move mountains with no effort.

Page 4.3 · Strategy

The years before the three months​

Least shown or talked about is the year leading up to your best project, the biggest success, as ours too, the 12 months prior was critical to get all puzzle pieces together into the same room and be set up for success.

Strategy

T minus Years
(organizational capability)

T minus Months
(strategic initiatives)

T minus Weeks
(commit to decision)

T-0
(kick-off the 3 months build)

Proving it
can be done

Blueprinting products
Senior tech leaders engaged in advance, architectures outlined with delivery needs.

Finalized scope
Select component builds, user journey outlined with design and product.

Clear scope of a single revenue making vertical, stretch goals enabling buffer

Proving it
is worth to do

Flesh out initiatives
Napkin math to estimate each initiatives ROI

CEO & board buy-in
Transparency about key assumptions that can fail, all agree on mitigations and cuts under conditions

Return on Investment derisked, mitigation strategies are in place

Proving we
can do it

Run smaller scope experiment
Build trust by addressing smaller challenges first, use it to set up success.

Signed Statement of Work
Before the start, finalize and formalize expectations.

Co-located team ready to execute and incentivized

4.3

As nice it would sound that we delivered in 3 months from scratch, and how many companies and organizations tout a story like that, it is always certainly false.

At least a disservice to those who prepared the project, the effort that went into setting it up for success. Just as a Hollywood movie production doesn't start at filming the scenes, a digital product production doesn't start at the first line of code.

It starts years before any of that. Just as for a movie, or for any project, I would propose there are three bands that requires years of build up.

  • Proving that the project can be done is the research, outside foundational science, the end goal can be broken down into parts and each part proven with engineering experience if it is doable.
  • Proving that it worth to do is the business case, the belief that the return on the investment worth the costs poured into it at least on a napkin math. And drafting alternatives when certain assumptions fail during the project is just as important. Even market conditions can take years to form.
  • And finally, proving that we are the ones who can do it, which builds on the individuals and the team's experience leading up to the opportunity. Including smaller prototype runs before committing the full investment.

Page 4.4 · Descoping

A machete on the JIRA tickets​

Descoping supported by CEO and top leaders so we can deliver what matters, not what was dreamed of.

Removing digital signature rewrite among other scope elements from the whole new journey made the unsecured loan happen.

Descoping

Scope dreamed up

[150+ fragmented Jira tickets]

Whole new loan journey: 18+ pages redesigned with brand new UX, world-class ideas.

New generation of digital signature. A whole new unified UX for the bank. Aligned with the group headquarters so the brand is consistent everywhere.

Stability on par with transactional systems. Quality check is fully automated, regressions eliminated, etc.

Baggage, unnecessary scope

[50+ marginal Jira tickets and consolidation]

Digital signature: working integration exists, redesigning for new flow takes 3 months on its own.

Bank had already implemented solution and it took 2 weeks to integrate with two engineers.

Furthermore, we revisited most user stories and consolidated duplicated work (e.g. same knock-out criteria recurred 3 times, user gating lowered to 4 stages with short loading screen instead of granular messaging, payslip checks excluded from regression tests).

Minimum revenue-making product

[<60 end-to-end Jira tickets]

Unsecured loan: send asked money to account if risk is acceptable that customer can pay it back.

Only mandatory parts:

  • user identification (account management),
  • regulatory required checks (KYC, AML, central bank risk calculation),
  • contracts filled in and signed,
  • send money to user account.

Everything else is further risk-management around the loan, cut and implement in parallel to working product.

−
=

Threat model

Pipeline

Funnel data

Loan ledger

Landing zone

Loan journey

Digital signature

−3 months

Mobile app

Product P&L

Loan terms

eKYC

Payout

Credit scoring

Build · high effort

Integrate · moderate effort

Reuse · least effort

Digital signature · reused whole, it saved three months of work on its own

4.4

And finally, none of the above worth anything if the scope just grows. Even if you fix the scope by project start, it will grow during it nevertheless. But why? If no-one allowed to put in new ideas, how the scope can grow?

It will grow because our understanding of the problem at hand naturally grows as we work on it. This is why a digital project is a research and development project, not a manufacturing type work. Less predictable, there is no way to confine it, like 10 kilograms of scope is done under 1 month.

Estimations were taken with assumptions that don't hold anymore. Or they were just wrong due to different understanding of what the outcome looks like.

The key is to let the team decide on what to cut during their project. The previous steps actually set it up so they can do it with confidence: E-shaped expertise, all relevant experts co-located and alternatives were planned in advance.

In our case, a hidden 3 months project was lurking in one of the tickets among 150 other tickets. By leadership support, we throw it out and replaced with a 1 week integration. The product worked and shipped, one step of the 17 pages was a decade older user experience.

Turned out, the users didn't mind it at all and the drop-off was minimal. 3 months of delay on top of a 3 months project was averted. However the team's fears weren't resolved yet.

Page 5 · Trade-offs

One wrong loan, and what it actually cost​

You don't know what you don't know and you fear more than what it worth, the cost of that loan compared to a year of 60 people's salary is barely a rounding error.

Choices are always trade-offs, there is no single best solution, so set your between the absolutes for what is your risk appetite.

Trade-offs

Options

Costs

Implication

Unknown unknowns and overestimated failure costs prevent from realizing potential revenue, opportunity cost of earlier launch lost

Slowest time to market, risks end of runway before meaningful launch

Dead-end experiments that could be avoided with a simple napkin math, tech debt mounting and slowing building progressively

Fastest time to market, risks end of runway before product-market fit

Balanced opportunity cost with dead-end approaches, depends on experienced seniors to select wisely

Fast time to market, wise use of runway

5

The fear of the team stemmed from perception: no loan can be sold to an ineligible person. But mistakes happen, especially when the risk calculation requires half a thousand properties to be calculated perfectly. A controlled launch with a friends and family structure, meaning we sign testing contract with the recipient beforehand surfaced the mistake, the loan was sold to an ineligible person and reverted with shared agreement as the testing covered it.

Maybe this was the best learning opportunity for our client: risks can never be fully eliminated, but showing the loan's cost was in the hundreds of euros range, only one engineering day costs more. This finally put their fears into perspective and enabled the team to launch regularly with confidence.

With the most important confidence: even if the worst mistake is made, we have ways to revert, handle, fix, or understand the cost we had to take compared to endless efforts of excluding all possible mistakes.

On camera

Closing​

To bring it all back together: your team's individual capabilities, their collaboration strength and proximity, your preparation in pre-production and ability to descope waste on the go ultimately determines the outcome.

Fix any problems arising from these areas, chasing the next trend or tooling salesmen promises to bring you the silver bullet won't move the needle.

Deliver a truly revenue making digital product in a short timeframe, months, and grow your organization from there.

If you want to see what holds you specifically back on your digital maturity, use our published framework here, or reach out to me for an introduction. With my Central European talent network, I am looking forward to work with you on any digital product challenges you may face!

Take care, and have a great day or night there!


Our engagement model is these same four pillars turned into a way of working — how an engagement actually runs, phase by phase, with its own narration as text.

The same four pillars are what an engagement with us is built out of. Discovery is a few calls and a few days, and you leave with your top risks and gaps on one slide whether or not we go further.

Book a discovery call