Forward-Deployed Engineering
Forward-deployed engineers work inside your business to build production software and secured AI agents. Your people help shape the build, and learn to operate and extend what ships.
Built with you
Owned by you
One delivery team, working in your environment.
Review the software
Shape the next release
Agree the use case, data access, delivery owner, and success measures before the build. Then review progress every two to four weeks, with the next release shaped by testing and use.
- Team
Forward-deployed engineers
Senior AI experts lead the build, integration, and operator training. The team brings business, IT, consulting, software engineering, and AI engineering experience.
- Team
Your team
Set acceptance criteria, test releases, and learn to maintain and extend the system. Your delivery owner agrees the release scope and timing with us.
- 1
See the build
Review working software against the agreed use case.
- 2
Test the boundaries
Inspect quality checks, exceptions, and security controls.
- 3
Set the next release
Use the results and operator feedback to agree priorities.
Choose your first use case
Choose an operational problem with an owner and a measurable outcome. A first-year program can build on successive use cases, reusing data connections, evaluation, and controls.
Document operations
Draft, check, and route contracts, claims, and reports.
Customer operations
Answer from company knowledge and hand exceptions to people.
Company knowledge
Connect information from shared drives, documents, and inboxes.
Process automation
Handle intake, reconciliation, and approvals.
Decision support
Bring operational analysis to the people making decisions.
Engineering acceleration
Apply AI in the software lifecycle with defined review points.
Ready for production and for your team
Production readiness means more than running code. Your team needs tested boundaries, clear operating guidance, and evidence for accepting the release.
- Controls in the build
Source boundaries
The data each agent can reach
Permissions
Who and what can act
Human review
Decisions that remain with people
Quality checks
Tests, exceptions, and access evidence
- Release evidence your team keeps
Use-case map
Owners and progress against the business case
Release review pack
Working software, quality results, and control rules
Adoption brief
Usage, training, and next-release priorities
Operating handover
Code, guidance, and trained internal operators
Three ways to get started
Leadership workshop
Work with your executive team to identify where AI can help first. Leave with a ranked shortlist.
AI readiness diagnostic
Identify the data, security, and operational constraints holding delivery back, with a plan to clear them.
The first use case
Agree one problem, one delivery owner, and one build before committing to a broader program.
Build your first production use case
- Transform
- Build
- Scale
- Govern
- Secure