Fintech CTOs want a framework that makes delivery both fast and predictable, and those are 2 different problems. Luckily, with the right approach, an AI development framework can speed up delivery in a way that can be at least partially predicted and controlled.
We're returning to the topic of software delivery timelines in fintech that we recently discussed, inspired by the interviews of the CTO vs Status Quo and Fintech Recoded interview series.
Our CTO Adam Polak has also been documenting this tension in Effective Delivery, our newsletter on software delivery.
TL;DR
A framework can cut coding time to a fraction of the old estimate,
Faster coding doesn't mean a faster delivery timeline,
Research confirms the gap and shows where it opens,
Closing the gap means speeding up backlog work and code review along with coding.
What a standardized framework buys you
In "Our AI framework made all developers 30-40% faster," Polak describes building Copilot Collections.
It's a 4-phase workflow (Research, Plan, Implement, Review) run by a set of coordinated AI agents.
Without a shared workflow, AI productivity gains vary by a wide margin across an IT team.
Together with 11 engineers, I built Copilot Collections to introduce a consistent AI workflow that everyone can use to achieve a baseline increase in efficiency. — Adam Polak, CTO, The Software House
Before the framework, AI champions saw productivity gains close to 200%, while most frontline developers saw next to none.
TSH runs the standardized framework in about 70% of its projects.
The framework lifts productivity by 30-40% on average across the whole IT team.
Does a faster IT team shorten a fintech delivery timeline?
Faster coding doesn't shorten the timeline on its own.
In "Review: Our first 100% AI-driven project," Polak covers the first time TSH let the framework handle all of a project's coding.
The team estimated 3 developers working for months the traditional way.
We estimated it would take 3 developers several months to do it the traditional way. We planned to deliver it with 1 developer at the same time, with no loss of quality. — Adam Polak, CTO, The Software House
The 1-developer plan worked.
However, everything around the code broke.
The backlog emptied faster than a business analyst could refill it.
Finished pull requests piled up waiting for review, and merge conflicts multiplied.
It was like a factory where the production line sped up, but the ability to supply the raw materials and move the finished product didn't. — Adam Polak, CTO, The Software House
It all comes down to the weakest link
The 2026 NBER working paper, Writing Code vs. Shipping Code studied the same gap between coding and shipping with data from over 100,000 GitHub developers.
Autocomplete, interactive agents, and autonomous agents each raise coding activity, with cumulative effects of 40%, 140%, and 180%.
That 180% cumulative gain in commits shrinks to 50% at the project level and to 30% at the release level.
The paper calls this the weak-link hypothesis.
Human bottlenecks further down the production chain absorb AI's productivity gains, because AI and human effort are strong complements, not substitutes.
A framework that speeds up code writing and nothing else solves the smaller half of a fintech delivery timeline.
Closing the gap between coding and shipping
TSH's fix was to extend the framework past the code itself.
A Business Analyst agent turned workshop notes into a full backlog of about 600 tasks in 3 hours instead of 2 weeks.
An automated review layer caught dead code that a standard linter missed.
Most "AI speeds up fintech" claims leave out these backlog and review steps.
An AI-driven fintech timeline
TSH applied the same principle to xpate, a European payments platform.
Before the project, merchants waited 3 to 10 days for a payout to land in an external account.
Working with TSH, xpate shipped a new AWS-based platform in 4 months, cutting the payout wait to minutes.
The timeline that matters to a fintech client runs from request to money moved, and commit counts don't measure it.
That timeline won't get shorter until the IT team rebuilds the whole chain around the code.
An AI framework is the starting point
A standardized AI framework can compress a fintech delivery timeline.
However, the framework has to reach the backlog, review, and merge phases the same way it reaches code.
Otherwise, the bottleneck moves from coding to another step.
Authors
Adrian Senecki
Copywriter and budding fiction writer, interested in (but not limited to) the business side of software development. Likes acquiring new skills and foretelling the future.
Andrzej Wysoczański
Frontend developer with 10 years of experience. With The Software House for almost 7 years, going from a regular dev to the Head of Frontend. He loves keeping tabs on the latest frontend technologies, especially React-related. Regular of the Taby & Spacje podcast (tsh.io/taby-vs-spacje) for Polish speaking programmers.