Engagements range from a focused transformation workshop to embedded, multi-quarter delivery. Where the need is narrower, we run targeted implementations on our own toolset: standing up agentic coding cycles inside your engineering teams, or remediating a codebase at scale. Every engagement ends in working software in production, under audit.
We embed with leadership and operating teams to find where AI changes the unit economics. The hand-offs between front office, risk, and compliance that turn days into weeks. The analyst hours spent reading thousands of documents per case. The throughput ceiling you can only lift today by hiring. Then we commit to a roadmap with dates and measurable outcomes.
Processes, data, and decision points, including the data that will eventually have to move. Transformations fail at the migration more often than at the build.
The first production system has a date, not a three-year vision. Recently that first system has been an end-to-end lending workflow and a ground-up diligence platform.
Written against your numbers, not our benchmarks.
Production systems built for regulated environments: due-diligence and review platforms, underwriting and onboarding workflow, servicing and back-office tooling. Audit-ready from the first commit, and you own the result.
How the operation should run, not around the system being replaced.
Scanned and fixed by our own DevSec engine on every branch.
Your repository, your infrastructure, your keys.
When the new system replaces an old one, the move is a CAM™ workstream, not a weekend of hope.
Coordinated agents that run real operations end to end: document intake and exception handling, case triage, KYC refresh, reconciliation breaks, all executing under governance, with a human approver on anything high-risk.
Each action logged with the model identity and the human disposition.
High-risk decisions route to a person, not to a policy document.
Held with lineage, never silently resolved.
We stay in the build with your teams through model-governance sign-off, penetration testing, and regulator questions, shipping iteratively and keeping systems improving long after launch.
Not in a handover meeting at the end.
Using the evidence the system already produces.
A good engagement ends with your teams not needing us.
Our flagship engagement for servicing transfers and loan-book boarding. Agents propose, deterministic machinery decides, humans sign, and the run ends in an evidence log your auditor can re-verify without us. Three ways in, from a two-week tape health-check to a fully certified boarding.
It is also how we finish our own builds: when a system we've delivered replaces one you're retiring, the cutover runs under the same contract and evidence discipline. You don't just get a new system: you get proof you landed on it safely.
We map the whole ecosystem, from processes to data to decision points, to find the highest-impact transformation.
We design systems that reimagine how the business should operate, rather than automate what already exists.
We build and deploy coordinated agents that execute complex operations end-to-end, under governance and audit.
Systems learn and adapt. We stay embedded to optimise operations and surface new opportunities over time.