Your best people shouldn’t be the integration layer.
We design, build and run the AI systems that take the manual work out of your business.
Connected to your own data, secured before anything goes live, and measured by the hours and decisions they give back. We’re the AI team you don’t have to hire.
- Your systems — email, documents, CRM, ERP, chat
- One governed copy of your data — the data lake
- How your company fits together — customers, contracts, people
- Every request checked — permissions, zero retention, evals
- The AI — Claude Enterprise
- Finished work, back to your teams — with sources
- Oracle
- Salesforce
- Imperial College London
Guided by a board of hedge fund portfolio managers
What changes when it’s done properly.
Not a pilot, not a chatbot, not a strategy deck. Working systems inside the business, owned by you and run by us — judged on what they give back.
- Hours back, every week
- The reports, reconciliations and reviews your team assembles by hand are drafted for them, sources attached. People review instead of assemble.
- Answers the same day
- Questions that sat open for days because they needed three systems joined are answered while they still matter.
- One accountable team
- No platform team to hire, no vendors to stitch together. We build it, run it and answer for it.
- Your data stays yours
- Zero data retention, permissions mirrored from your systems, and a full audit trail. Nothing leaves your control.
From the first question to a system that runs.
Two phases and a standing commitment: discovery to find the work worth doing, a build that’s secure from day one, and then we stay to run it.
- Phase 1
Strategy & discovery
Before anything is built, we find where AI will actually pay back — by talking to the people who do the work, reading the systems it happens in, and testing what’s feasible before any heavy investment.
- Where the hours go
- Systems and data review
- Security and risk
- Roadmap and business case
The output is a ranked, costed plan you can take to your board.
- Phase 2
Build
Then we build — in an order that doesn’t bend. Seats first, then the data, then the walls, and only then the workflows, so everything that ships inherits the controls instead of retrofitting them.
- Claude Enterprise rollout
- Data foundation
- Guardrails, security & the harnessBefore workflows
- Workflows & agents
Security lands before any workflow goes live.
- Ongoing
Your outsourced AI CTO
Nothing gets handed over and left to rot. We operate what we build, keep it current as models improve, and extend it as more of the company comes on board. The data and the capability stay yours.
- Monitoring, on-call and incident response
- Model upgrades, tested against your evals first
- Capacity planning as usage grows
- A quarterly roadmap reviewed with your leadership
One team accountable for every layer.
Built for teams that need AI to actually work.
Operating companies, investment firms and professional services. Every one has a list of questions it can’t answer before lunch. Pick your world, then flip the log to see what changes when the data is connected and the stack is run for you.
0 of 5 answered
Finance rebuilds it from ERP exports, the CRM and a pricing spreadsheet. Two people, most of a week.
Problems we solve, end to end.
Three composite engagements, built from the problems we’re asked to solve most often. They show the shape of the work — the problem, what we build, and what changes.
A 600-person distribution business · Illustrative
The board pack that took five people a week.
Finance stopped doing finance for a week every month. Now the pack drafts itself overnight and finance reviews it in a morning.
Read the engagementA mid-market hedge fund with a twelve-person investment team · Illustrative
The analysts were the integration layer.
Analysts started at six to copy from six windows. Now the morning note is drafted before they arrive, and exposure questions take minutes.
Read the engagementA 300-person consultancy · Illustrative
The knowledge base that got shelved — and the one that didn’t.
An eight-month search project nobody trusted. Structure first fixed it: precedent in minutes, proposals drafted the same day.
Read the engagement
Illustrative composites, not client results. Company profiles, figures and timings show the shape of the work.
The people accountable for it.
You work directly with the people who design and run your systems — not a sales team, and not a subcontractor.
A technology veteran from Oracle and Salesforce
Enterprise software at scale: the integrations, security reviews and company-wide rollouts that decide whether a system survives contact with a real organisation.
Leadership
An AI architect from Imperial College London
The technical depth to design what surrounds the model properly — data, retrieval, evaluation and the controls that keep it safe.
Architecture
A board of hedge fund portfolio managers
Operators who judge which problems are worth solving, and who hold us to the outcome rather than the deliverable.
Advisory board
For the people who want to look under the hood.
Everything above rests on a stack most mid-market companies would need a platform team to build — and another to keep running. Toggle who owns each layer.
- 10Observability & auditTraces, logs, cost, on-callHire: SRE + compliance
- 09EvaluationsIs the work right, before releaseHire: ML engineer
- 08GuardrailsPermissions, retention, policyHire: Security engineer
- 07Agent harnessTools, memory, workflowsHire: AI engineer
- 06Model gatewayClaude Enterprise, routing, limitsHire: Platform engineer
- 05Retrieval & indexSearch across documents and recordsHire: ML engineer
- 04OntologyCustomers, contracts, products, peopleHire: Data architect
- 03Data lakeRaw, curated, governed zonesHire: Data engineer
- 02ConnectorsERP, CRM, documents, mail, core systemsHire: Integration engineer
- 01Identity & accessSSO, provisioning, rolesHire: IAM engineer
Ten layers, a specialist for almost every one, and an on-call rota — before the first workflow ships.
Tell us what’s costing you the most hours.
One discovery call with the people who own the problem. We’ll show you how the work would move — and what would change on Monday.
Book a discovery call