Forward-Deployed Engineers
Forward-Deployed Engineers. AI engineers who sit with your team and ship.
Most AI projects stall between the strategy deck and the first working system. Our forward-deployed engineers close that gap. They join your team on site, sit with the people who own each process, and build AI that runs inside the tools your business already uses.
At a glance
Our engineers work inside your business, at your office, turning the roadmap into working AI.
- Embedded with the people who own each process
- Built around your workflows, not a template
- Connected to your ERP, CRM, inboxes and sheets
- First solutions live by day thirty

- Map the PO approval flow
- Connect ERP read access
- Intake agent for supplier emails
- Train the finance team
The problem
Why AI rarely leaves the pilot stage
A typical AI programme is designed by people who never see the work. Requirements travel through workshops and documents, pilots are built in isolation, and by the time something is ready the process it was meant to improve has moved on. The result is a collection of proofs of concept that never reach daily use.
The fix is proximity. When an engineer can watch an approval being chased, a report being rebuilt by hand or a claim being re-keyed, they build the right thing the first time and can test it with the person who will use it the same afternoon.
What we deliver
How it works
in practice.
Engineers on site with your team
Our engineers work from your office for the core of each week. Questions are answered across the desk rather than across a review cycle, and decisions are made in hours.
Solutions shaped by the workflow map
Every build starts from the map produced in our AI interviews, so we automate the steps that cost the most time and money rather than the ones that are easiest to demo.
Integration with the systems you run
We connect to your ERP, CRM, document stores, shared inboxes, spreadsheets and messaging, so AI works inside the flow of work instead of in another tab nobody opens.
Handover your team can own
Everything we build is documented, monitored and handed to named owners in your business, with training so the solution keeps improving after we step back.
How an engagement runs
- 1
Pick the first targets
From the ranked roadmap we agree the two or three processes where AI will deliver the fastest, clearest value.
- 2
Build beside the process owner
Engineers prototype with the people who do the work, test on real cases and adjust daily.
- 3
Ship into daily use
Solutions go live inside existing systems, with access controls, logging and a simple way to flag problems.
- 4
Measure and hand over
We track time saved and error rates against the baseline, then hand over to your owners with documentation.
What you receive
- Two or more priority AI solutions live in daily use by day thirty
- Integrations with the systems those processes touch
- Baseline and after measurements for each solution
- Runbooks, monitoring and named internal owners
- A queue of the next solutions, ranked by value
Where Forward-Deployed Engineers makes the biggest difference
- InsuranceClaims intake, triage and fraud checks without the re-keying.
- Real estateListings, leasing and contracts handled in minutes, not days.
- Facilities managementPredictive maintenance, faster work orders and lower energy bills.
- Logistics and tradeQuotes, orders and carrier chasing handled by AI agents.
- HealthcareLess time on notes, coding and scheduling. More time with patients.
FAQ
Questions about Forward-Deployed Engineers
Yes. For the build phase our engineers spend the core of each week on site with the teams whose processes they are improving, and work remotely the rest of the time.
Further reading
29 September 2026 · 3 min read
What AI is actually delivering: evidence from twelve industries
Published results from organisations using AI in healthcare, insurance, banking, energy, logistics, real estate and more, with what each result does and does not prove.
Read article24 September 2026 · 3 min read
Why most AI strategies stall, and why we interview every employee
AI plans built from a few leadership meetings miss where the work really happens. Here is why interviewing everyone changes what gets built, and how it works in practice.
Read article10 September 2026 · 2 min read
What it means to be an AI-native company
AI-native is not about buying tools. It is a company where AI sits inside everyday work, people know how to use it and results are measured.
Read article

Your next thirty days could change how your company works.
Talk to our founders about where AI fits in your business.