Most systems fail not because of bad code, but because nobody mapped the business before they started building. We fix that — then we prove it against your codebase.
Talk to us about closing the gapYou spent six figures on software. Your team still runs workarounds in Excel.
Reports get assembled by hand because the dashboard doesn't quite capture the real picture. Someone manually copies data between two systems because the integration assumed a process that nobody actually follows. Your operations team has a folder of "how we really do it" notes that contradict what the system expects.
This isn't a technology problem. It's a sequencing problem. Your system was designed around pages and buttons — what the interface should look like — before anyone properly understood the operation it was supposed to serve.
The result: software that reflects a designer's assumption, not your business reality. That gap costs you every single day. And it widens every time your business evolves.
You're three to six months into a project that's drifting. The spec doesn't match reality. Rework is eating your budget. Your dev team isn't slow — they're building against six different interpretations of what the business needs.
Two dashboards, two numbers, zero confidence. Your data team keeps patching SQL but the real problem is upstream — the organisation never agreed on what "active," "enrolled," or "revenue" actually mean.
The demos looked great. Production is a mess. Your AI doesn't understand your business because nobody gave it a model of your business to understand. It hallucinates rules because the rules were never encoded.
You haven't committed to an architecture yet. You want to get it right the first time — spend a week modelling before you spend six months building.
We work with your people to map the real business — not what's in the requirements doc, but what actually happens. Using Event Storming, we surface the disagreements and assumptions that have been silently causing problems, then model them into a precise, validated specification.
Once the model is validated, we hold your codebase up against it. Not a code review — we're asking a different question: does your code accurately reflect what the business just agreed on? Every divergence is a finding tied to business impact, not developer opinion.
Your business didn't stop evolving when we shipped V1. We maintain the specification as your single source of truth. When the business moves, the spec moves first, and the system follows — precisely, without guesswork.
A domain model is valuable. A domain model compared to your actual codebase is transformative. We trace every concept, state, boundary, and rule through your implementation. Every divergence is a finding — a naming mismatch, a missing state, a boundary drawn in the wrong place, a business rule that was never encoded.
Each finding is tied to a business impact. Not "you should refactor this" — but "this divergence is causing this business problem and here's the path to fix it."
The code calls it a "user." The business calls it a "participant." They mean different things — and the system treats them as one.
The code has three order statuses. The business has seven. Four real-world states are invisible to the system.
The code treats billing and enrolment as one module. The business sees them as separate concerns with different rules.
Depending on what the audit reveals and where your organisation is headed, the model becomes the foundation for everything that follows.
Every requirement traceable. Every business rule testable. Nothing left to developer interpretation. Working software and the evidence that it matches what was specified.
Flow the domain model into your data architecture — warehouse design, transformation layer, reporting. One number, one meaning, across the whole organisation.
Your AI agents reason within the constraints of your actual domain. They don't hallucinate policies because the policies are encoded in the model.
We are senior business analysts and engineers who care more about understanding your operation than shipping features. We ask hard questions early so you don't discover the answers in production.
We don't just model — we prove the model against your code and give you a concrete, prioritised list of what's wrong and what to fix.
The workshop and audit produce artefacts any competent dev team can execute against — including yours. We build capability, not dependency.
We run workshops and audits across time zones with distributed teams. Digital whiteboards mean artefacts are born shareable.