AI Forward Deployed Engineer

Forward-deployed engineers for the AI you already pay for

You bought AI-native software: Microsoft 365 Copilot, Business Central, Dynamics, and the CRM your team works in every day. Most of that AI never gets switched on past the demo. We embed an engineer with your team to put it to work against a real business outcome, then hand it over to your people or keep running it with you.

The AI is already there. Nobody is driving it.

Microsoft 365 ships Copilot. Business Central and Dynamics ship built-in AI. Your CRM ships lead scoring and assist. The licences are paid for, and most of it still sits idle, because turning it into results is an operations problem, not a licensing one. The gap is not the software. It is who operates it.

A Forward Deployed Engineer closes that gap. Instead of writing a spec and throwing it over a wall, an engineer is embedded with your team to build the thing in your real environment. For AI that matters even more, because most of the value is in the messy details of your data and your workflow, not in the model itself.

In short

  • The AI you pay for, finally operated against an outcome
  • Built in your real environment, not a slide deck
  • Momentum and working software in weeks
  • Handed to your team, or we keep running it

Three ways to get a return on the AI you already bought

Start with one engineer and one outcome. Where it goes from there is your call.

Start here

Forward-deploy an engineer

An engineer embeds with your team, inside your CRM, Microsoft 365, and Business Central, learns how you actually work, and builds the AI plays that fit your business, not a generic template.

Build and transition

We hand it to your team

We build what we learned into certified, working software on the tools you already use, then transfer it to your team with the knowledge to run it. You own it, and there is no lock-in.

Fully managed

Or we keep running it

We continue to build and supervise both the AI and the people around it, under a support plan tied to the outcome you care about, not the hours we bill.

What we build

A few of the things our AI Forward Deployed Engineers ship. Not a menu of products, a way of working applied to your problem.

Live example

AI Lead Qualifier

AI that reads, scores, and routes every lead the moment it arrives, built straight into your CRM. Hot leads get followed up instantly, and every lead is tagged with the ad and page that produced it.

See the AI Lead Qualifier
Microsoft Copilot

Microsoft Copilot deployment

Copilot is only as good as the data you let it see. We run the governance assessment, clean up SharePoint and OneDrive permissions, pilot Copilot with a small group, and coach adoption so the licences you pay for actually get used.

Claude / MCP

MCP servers for Claude

Custom Model Context Protocol (MCP) servers that connect Claude to your tools and data, so an assistant can read records, run actions, and work inside your systems rather than just chat about them.

On your own data

RAG assistants

Assistants trained on your own documents and data, answering with your context instead of generic web knowledge. Your data stays in your environment and is never used to train public models.

Automation

AI agents and automation

Agents and workflows that take real work off your team: triage, drafting, data entry, and the handoffs between systems that usually need a human to copy and paste.

Plumbing

Integration and data plumbing

The unglamorous part that makes the rest work: connecting CRMs, Microsoft 365, Business Central, Azure, and AWS so data moves cleanly and the AI has something reliable to stand on.

Where a Forward Deployed Engineer pays off

We anchor every engagement to one function and one outcome, starting where the leverage is highest. These are the numbers we measure against.

Sales and lead response

Instant lead scoring, routing, and follow-up drafts built into your CRM, so no enquiry goes cold and every lead is tied back to the ad and page that produced it.

Response timeLead to meetingQualified pipeline

Customer support

Ticket triage, tier-one deflection, and agent assist, so your support platform stops drowning your team and finally shows up in the cost line the board scrutinises.

First response timeDeflection rateCost per ticket

Finance and operations

Document capture, reconciliation help, and status agents across Business Central, so month-end stops eating the week and the numbers close on time.

Time to closeInvoice cycle timeManual data entry

Knowledge and documents

RAG assistants and Copilot rollouts on your own files, so answers take seconds instead of a search through inboxes, and the Copilot licences you already pay for get used.

Time to answerOnboarding timeCopilot adoption

Start with step one. Forward-deploy an engineer.

A short scoping call, with no migration and no long onboarding. We tell you honestly whether a Forward Deployed Engineer is the right fit, and if it is, what the first two weeks would deliver.