You’ve run a thousand implementations. You’re not getting better at them.
M‑1 embeds delivery engineers in your live implementations. We fix what’s blocking you, then leave the fix running as an agent in the tools you already use. Each delivery starts ahead of the last.
Forward deployed today inside delivery organisations implementing regulated financial technology into some of the largest institutions in the world.
Your product compounds with every release. Your delivery should compound with every implementation.
Volume has only made you bigger, not better.
The knowledge needed to deliver is spread across a CRM, three project tools, a wiki nobody trusts, six years of Jira comments and four people’s memory. No system holds the whole picture, so every implementation reassembles it from scratch.
Twice the customers needs twice the people. Growth buys you headcount, never leverage.
One customer request, making its way through your organisation.
Then the next one starts from scratch.
The answers are already in the building.
The answers exist — in a contract, a Jira comment, a decision from eight months ago, and the head of an architect on annual leave.
Finding them is the job, on every single implementation. Which is why the thousandth costs roughly what the first one did.
We fix it live. Then we fix the cause.
Our engineers embed in an implementation that’s already moving and resolve the constraint in front of them — the stuck decision, the requirement nobody can classify, the integration that’s quietly eaten three weeks.
Then we go after what produced it and deploy the fix as an agent inside the tools your teams already use. The next team hits the same wall and finds it gone.
Resolve the constraint
We start inside an implementation that is already moving, on a problem that is already costing you.
Fix what produced it
The workflow, the decision path, and the place the answer should have been living all along.
Leave one agent running
One useful agent, live in your environment. Everything it learns is context the next one starts with.
More of every deal is delivery.
Services are 8–10% of enterprise software revenue today, heading for 15% by 2030 — and AI is accelerating the shift, because configurable products need wiring into real data, real controls and real workflows before they do anything.
The mix isn’t coming back. The only lever left is what each customer costs to deliver.
For the CFO in the room: at 85% product margin and 20% services margin, that shift is worth about five points of blended gross margin.
One agent to start. The Platform makes the next one stronger.
Every engagement starts with a single useful agent, working a live problem in your delivery. The M‑1 Platform gives it read and write access to the systems you already run, and to the permitted structured and unstructured information inside them.
What that agent learns doing real work lands in a living knowledge graph — the commitment behind a requirement, the decision that classified it, the pattern that resolved it. The next agent begins with that context, so it takes less to build and does more.
- Jira
- Confluence
- Rovo
- Salesforce
- Slack
- ServiceNow
- Snowflake
- GitHub
- Zendesk
- Certinia
You’ve already bought the tools. We put them to work.
Your teams are paying for capability they’ve never switched on. Rovo is sitting inside your Atlassian licence. Your CRM has automation nobody configured. Your documentation platform has an API nobody has ever called.
Our Platform connects to what you already own — reading and writing into those systems, running in your environment with governance, approvals, audit and evaluation around every action. Most engagements end with fewer tools than they started with.
We bring
- The methods
- The M‑1 Platform
- The agents that do the work
- A practice sharpened by every engagement
You keep
- Your systems, your data, your configuration
- Everything built specifically for you
- The living knowledge graph the work produced
- Agents still running in your environment after we’ve gone
We do the part everyone else leaves.
A consultancy hands you a diagnosis and an invoice. A platform vendor hands you a dashboard and a licence. Both leave the work exactly as they found it — and the work is where the cost lives.
M‑1 exists for the part neither of them touches: doing the delivery, fixing the system underneath it, and leaving it running in your environment.
We’ve sat in all three seats.
Delivery failures sit between commercial commitment, product capability and delivery execution. So do we.
Forward‑deployed in UK wealth tech
Co-founded Geonomics, licensing location-based gaming technology to lottery operators internationally. He ran sales into regulated operators — and the product and delivery teams that had to make good on what he sold.
Currently coding
Built a retail analytics platform processing millions of daily transactions from two thousand stores for clients including Fortune 500 companies. Then, an HR platform with AI agents. His research asks how living knowledge graphs help AI understand organisations as they change.
Forward‑deployed in digital banking
Programme Director on Lloyd’s of London’s £300m Future at Lloyd’s, leading 55 people across Lloyd’s, Accenture and Deloitte to four platform launches, on time and under budget. Santander’s digital bank, taken over late and over budget, and landed.
We built M‑1 because none of us could buy it.
Forward deployed today inside delivery organisations implementing regulated financial technology into some of the largest institutions in the world.
Today that means a wealth platform delivering into the UK’s largest adviser networks, and a banking-as-a-service provider deploying into global payment networks.
You can start right now.
A working session
Bring one implementation that overran. We’ll walk through where the time actually went, and what we’d change — before any engagement starts.
Delivery System Review
Where capacity is going, what it costs, and what to change first.
Forward Deployed Team
Start with one live constraint. Leave with the agent that prevents it, running in your environment.