Building Integrations at Scale with AI
Best Practices of Leveraging AI when Building the Integration Layer
AI changed what it costs to build an integration. It did not change what it costs to govern one. Sixty minutes on where the leverage is real, where it runs out, and how to run the build-versus-buy arithmetic on your own estate.
September 10, 15:00 GMT+3 Free to attend Recording sent to everyone who registers Built for Integration & Enterprise Architects Integration Team Managers CIOs & CTOs
Your speaker
Dmitry Fundak
Founder & Chief Technology Officer, Leadex Systems
Dmitry is an integration architect at his core. He has worked on dozens of the most complex integration projects across industries, primarily fintech, payments, digital banking and open banking, along with retail, healthcare and life sciences, and manufacturing. Today he oversees integration architects and development teams across more than 10 major integration programmes.
Six things worth the sixty minutes
Five practices that make AI work on integration code
Contract-first design, executable architecture guardrails and the resilience layer nobody puts in the estimate.
An honest read of the productivity data
The 30–60% savings, alongside debugging time and defect-rate findings. Both halves, with sources.
The arithmetic of AI leverage
What a perfectly executed AI adoption actually returns across a three-year programme.
Where AI leverage stops
Runtime policy, API lifecycle, audit evidence and why shipping code faster raises the governance bill.
A decision framework for your own estate
Twelve signals, six on each side. Build is a legitimate answer, and we name the estates it fits.
A pre-merge checklist for AI-written integration code
Five checks that catch what AI code review tools miss today, whether you run MuleSoft, homegrown middleware, or nothing yet.
Agenda
The problem statement
What actually slows integration delivery down today
What AI unlocks
Where the leverage is real, and where the data disagrees
Best practices for AI on the integration layer
Five practices, with architecture and code
Where AI runs out of runway
The layers that generation speed does not touch
Platform capabilities that make a difference
Gateways, policies, API and AI governance
When a platform is the right call
An honest decision framework, including when it is not
ROI and hidden costs, build versus platform
Three-year total cost, and what the business case forgets
Q&A
Open floor
Bring the hard questions, particularly about the cost model
FAQ
Is this a product demo?
No. Products appear in two of the seven sections, as one answer to a problem the first four sections define independently. Leadex is a MuleSoft partner and we would rather say so than have you find out at minute forty. The decision framework works whichever way your own answer goes.
How technical is it?
There is Java, Spring, OpenAPI and ArchUnit on screen. Architects and engineers will be comfortable. The argument still follows for a CIO who skips the code.
Will there be a recording?
Yes, sent to everyone who registers, whether or not you attend live.
Do you share the slides and code examples?
Yes. Both go out with the recording.
How much time is Q&A?
Twenty of the sixty minutes. Bring the hard questions, particularly about the cost model.
We show the numbers on both sides
We show both sides, with sources. The productivity gains AI genuinely delivers. The study where developers took 19% longer while believing they were 20% faster. Six reasons to adopt a platform, and six reasons to keep building in-house. Either way, you leave with a clearer read on your own estate.
30–60% — Productivity savings the evidence supports, on the tasks where AI genuinely helps
19% — Longer that developers took on complex, familiar code while believing they were 20% faster
12 — Signals for deciding build versus platform, six on each side. Count yours
About Leadex Systems
Since 2008 we have delivered middleware and integration programmes for banks, payment providers, insurers and government entities. Everything in this session comes from delivery, not from a product datasheet.
2008 — Delivering integration programmes since
75 — Engineers on the team
19 — API-led programmes delivered
Bring your hardest question about the economics
The most useful version of this session is the one where someone tells us which assumption does not hold on their estate. Twenty minutes are reserved for exactly that.