AI agent infrastructure for fintech teams past the pilot phase.
We build the compliance, risk, and data infrastructure that replaces manual bottlenecks — so your team handles more volume without adding headcount. Scoped to your stack, tracked from day one.
Get your build planWhere fintech operations stall.
The bottlenecks are predictable. The cost is real. Most teams try to hire their way through them — until the queue outpaces the headcount.
KYC/AML queues that grow faster than your compliance team can clear them
Entity data spread across five systems that never fully agree
Reconciliation exceptions that need manual investigation every cycle
Credit underwriting that takes days when it should take hours
Production systems for fintech operations.
Purpose-built for the data complexity and compliance requirements of financial services.
Compliance & Risk Operations
We build automated KYC/KYB workflows and AML case triage systems with human-in-the-loop controls. Your compliance team reviews decisions — not raw data — while throughput scales without headcount.
Business Intelligence Infrastructure
We build the entity intelligence layer that powers underwriting, onboarding, and risk decisioning — processing millions of records and returning structured, decision-ready profiles in seconds.
Financial Operations (FinOps)
We automate reconciliation matching and exception routing so your FinOps team handles edge cases, not routine transactions. Pipelines connect across banks, processors, and ledgers — with intelligent routing where human review is warranted.
Credit & Underwriting Systems
We extract structured data from financial documents, automate risk scoring, and surface decision-ready intelligence for your underwriters — reducing cycle time without reducing control.
Automating Strategic Intelligence
Manual target screening was limiting how many deals a firm could review. Analysts spent days on research just to build basic target lists. We built a Strategic Intelligence Engine that processed 30M+ US business entities — letting bankers ask complex thesis questions and get fully enriched tear-sheets in seconds.
100x
Targets screened per analyst
30M+
Businesses indexed
Seconds
To a complete tear-sheet
“ExecuteML automated our entire first-pass diligence layer. Our deal teams now screen 100x more targets without adding headcount. The intelligence engine has fundamentally changed how we source opportunities.”
Managing Director
M&A Advisory Firm
From scoping to production in defined cycles.
Workflow Scoping
We map your operations to identify the manual workflows creating the most friction — and define the success criteria before any code is written.
Design & Specify
We design the agent's actions, integration points, and human-in-the-loop controls against your real systems, data, and compliance requirements.
Build & Deploy
We build, test against edge cases, and ship to production in weeks — with monitoring and observability built in from the start.
Track & Iterate
We measure performance in production and run 90-day review cycles to improve, extend, or address any shifts in system behavior.
Build the infrastructure your operations actually need.
Tell us which workflow is creating the most friction. We'll map an integration and a path to production — with defined milestones and tracked outcomes from day one.
Get your build plan