FORWARD DEPLOYED ENGINEERING
We embed engineers inside your business to build the AI, automation and internal tooling that makes your team faster — working in your tools, your codebase and your standups until it's live.
THE MODEL
A forward deployed engineer is one of our senior engineers who works inside your business, not at arm's length from it. They join your standups, your Teams channels and your repositories, learn how your company actually operates, and then build the things that remove the friction.
THE DIFFERENTIATOR
Everything your business knows is scattered — SharePoint, Teams threads, tickets, spreadsheets, the CRM, and the three people who have been there longest. Your company brain is that knowledge pulled into one governed layer your people and your AI agents can actually query.
We wire up the systems your knowledge already lives in — Microsoft 365, SharePoint, Teams, your service desk, CRM and line-of-business apps.
Documents, tickets and records are cleaned, chunked and indexed into a searchable knowledge layer with permissions carried through intact.
Agents and copilots sit on top of it — answering questions, drafting work and triggering automations against your own data, with citations.
Access control, audit trails, retention and AI usage policy built in from day one, aligned to ISO 27001 and UK GDPR.
CAPABILITIES
Unify SharePoint, Teams, tickets, wikis and file shares into one permission-aware, searchable index that AI can reason over.
Assistants for support, sales, HR and operations that answer from your data with citations — not from the open internet.
Remove the manual handoffs across finance, HR and ops using Power Automate, Logic Apps, n8n or custom services.
OCR, extraction, classification and validation that turn PDFs, forms and email attachments into structured, usable records.
Dashboards, admin panels and approval flows that replace the spreadsheet-and-email process your team has outgrown.
Extra delivery capacity on your own roadmap — customer-facing features, services and public APIs, built to your standards.
Connect the platforms that don't talk to each other: Microsoft 365, Dynamics, Salesforce, ERP, finance and bespoke systems.
Carefully move the aging application everyone depends on onto a supported stack, without stopping the business to do it.
Azure and AWS landing zones, networking and environments defined in Terraform so they're repeatable and reviewable.
Pipelines, automated testing and safe deployments, so shipping is a routine event rather than a Friday-night risk.
Warehousing, ETL and dashboards that give leadership one version of the numbers instead of four competing exports.
Monitoring, alerting and runbooks so problems surface before your customers are the ones reporting them.
Entra ID, single sign-on, conditional access and role-based permissions applied consistently across what we build.
Clear policy on what data models may see, how outputs are reviewed, and an audit trail that stands up to scrutiny.
Controls, documentation and evidence mapped to ISO 27001 and UK GDPR expectations as the work progresses.
Documentation, runbooks and hands-on training so your team can run, extend and own everything we deliver.
ENGAGEMENT
Start small and scale up. There are no long lock-ins — if the fit isn't right, you're not stuck with it.
PROCESS
A conversation about where the time goes, which systems don't talk, and what you'd build if you had the capacity.
We put forward engineers with the right background, you meet them, and the one you pick joins your tools and rituals.
First working automation or application in production typically inside four to six weeks, then iterating from real usage.
Documentation and training so your team owns it — then scale the pod up, hold steady, or wind down. Your call.
QUESTIONS
A forward deployed engineer is a senior engineer who works inside your business rather than from a vendor's office. They join your standups, tools and repositories, learn how your company operates, and build software to remove the friction they find. The output is working systems in production, not recommendations.
A company brain is your organisation's scattered knowledge — documents, tickets, chat threads, CRM records — unified into one permission-aware layer that both your staff and your AI agents can query. It's what lets an internal assistant answer from your own data, with citations, instead of guessing.
A contractor usually delivers a defined scope and leaves. A forward deployed engineer is expected to find the right problem first, and is backed by our wider team for cloud, data and security work. You also aren't carrying the recruitment risk or the notice period.
A first working automation or application is typically in production within four to six weeks. A two-week discovery sprint can deliver a proof of concept sooner if you want to validate the idea before committing to a longer engagement.
They're yours. Everything is built in your repositories and your cloud accounts, and handover includes documentation, runbooks and training so your team can run and extend it. There's no dependency on us continuing.
Yes, that's the usual arrangement. They work in your codebase, raise pull requests your team reviews, and follow your standards. Most clients use them to add specialist AI, automation or platform capability alongside their existing developers.
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