Find it. Build it. Prove it.
Every engagement is the same arc: quantify where the manual work and risk actually live, build the system that removes them, and measure the result against the baseline - honestly, quarterly.
First, the truth about your data. It looks like this.
Not a warehouse - a tangle. CRM, platform, billing, spreadsheets, inboxes, all holding pieces of the same clients without ever being joined. The expensive answers live in the links between systems, which is exactly why nobody inside one system can see them.
fig. 02 - stage 01 makes this queryable. the links nobody looked for are usually where the money is.
Find - the data work
We instrument your operation and run rigorous analysis - not dashboards for their own sake. Where does time actually go? Which obligations are eating your week? What would automation actually be worth? The output is a ledger of trapped cost, ranked by £, so the build is scoped against numbers rather than hunches. The data & analytics capability →
output: trapped_cost ledger, ranked by £- process mining on real workflows
- data access mapped & unblocked
- forecasts with stated confidence
Capture - the build
We build the systems that remove the constraint the analysis found - onboarding that runs itself, checks engines, evidence archives, integrations. Production-grade, documented, and owned by you, not rented from us. The automation capability →
output: production systems, owned by you- KYC/AML & onboarding workflows
- checks engines & evidence archives
- system integration, portals, document AI
Compound - the proof
Every system ships with its own measurement. We track the cost recovered against the original ledger, report it quarterly, and reinvest the freed capacity into the next seam. Done right, compliance stops being a cost centre - we call that Operational Alpha →
output: measured savings, on your P&L- impact measured vs. baseline, honestly
- quarterly reviews
- your team enabled, not dependent
Fast where it helps. Boring where it matters.
ai_accelerated_build
We use AI to write, link and test systems dramatically faster than 2022-era consultancies - which is why firms your size can now afford infrastructure only the big firms used to have.
old_school_backend
What ships is deliberately unexciting: relational databases, SQL you can read, secure authentication, role-based access, versioned code. The boring stack is the safe stack.
audit_ready_by_default
Every system assumes a regulator will read it - deterministic rules, full audit logs, evidence as a by-product. AI never makes the compliance decision.
The diagnostic is the first find.
A 20-minute call: we'll do the arithmetic on your operation with you, and tell you honestly whether there's enough trapped cost to justify a build.