For technology and services firms
Your client wants AI. We help you deliver it.
We bring production AI engineering into your engagements: under your brand, inside your team, or as a defined build. Your client gets a system that works. You keep the relationship.
The gap
Clients are asking for more AI than teams can build.
Demand moved first
Clients are asking for document AI, assistants and agents now. The engineers who have built and run these systems are scarce, and hiring them takes longer than the client will wait.
Demos are not delivery
A pilot can impress in a week. Making it dependable means evaluation, background processing, permissions, review and recovery. That is where most AI projects stall.
Your name is on it
When an AI system fails in front of your client, it is your relationship that pays. The work around the model is what protects it.
Three ways to work together
Pick the shape that fits the engagement.
01
Inside your delivery team
Our senior engineers join your team on a client engagement, work to your process and under your brand. Your client relationship stays yours.
02
Architecture and review
We design the system with your team, then review the build as it goes: the pipeline, the evaluation, the permissions, the failure paths.
03
A defined build
We deliver an agreed system end to end, with documentation and a handover your team can run from.
How we work with your team
Behind you, not in front of you.
Your client stays yours
We work behind your team, to your process, in your tools. We do not approach your clients.
Senior people on the hard parts
Architecture, evaluation, permissions and failure handling are done by engineers who have built them before.
Risks stated early
Failure modes, open questions and cost per run are written down at the start, not discovered at the demo.
Your team can run it
Design notes, runbooks and reviewed code. When we step back, your engineers own a system they understand.
Work that fits
Where the hard part is making it run.
- Contracts, filings, forms or scanned records to be turned into reviewed, structured data
- Assistants and agents that must act with a user's permissions and ask before acting
- A pilot that worked for the client and now has to run at volume
- Document jobs of thousands of pages that must recover from failure
- Regulated or high-stakes work where every answer needs its source
Have a client asking for AI?
Tell us about the engagement and where your team needs help. We reply within two working days.
Talk to us