When engineers bill by the hour, AI tooling margins matter.
Consultancies and integrators give AI coding tools to thousands of delivery engineers across client projects. Routing protects delivery margins and keeps each client's code where it belongs.
The challenge
What makes consultancies and systems integrators different.
01
Margins are thin
Tooling cost across thousands of delivery engineers comes straight out of project margin.
02
Client code, client rules
Each client may set different rules on where code can go. Routing policies can differ per client.
03
Onboarding means reading
Engineers new to a client codebase lean on agents to read it, which is expensive on frontier models.
Where the tokens go
Work we route to cheap models.
- Onboarding to unfamiliar codebases
- Migration and modernization projects
- Test generation
- Boilerplate and scaffolding
- Documentation for handover
- Repo-wide analysis
Tools we route
Routing runs inside your environment — your cloud account, your data center, or an isolated network.
- Per-client routing and data rules
- Self-hosted worker models where a client requires it
- A log of which model produced every routed change
- Cost reporting per client engagement
Recommended path
How engagements typically unfold.
Start where the value is clearest. Most clients begin with a spend audit, then route one team before rolling out.
Start the conversation
Stop paying frontier prices for routine work.
Tell us which coding tools your engineers use and roughly what you spend. We'll show you where the tokens go and what routing would change.
We respond within 1 business day. Mutual NDA available before any data discussion.