Engagements built to ship.
Four ways to bring AI into your business — each with a clear scope, deliverable and exit point. No retainers you can't leave.
AI strategy & roadmap
Two-week sprint to find the highest-value AI bets and de-risk them.
- Opportunity map across operations, customer-facing and data
- Prioritized roadmap with ROI estimates
- Architecture and vendor recommendations
- Go/no-go scoping for the first build
Custom AI products
Design and engineer a production AI product — assistant, agent, document intelligence, analytics.
- Product design and UX flows
- Engineered, deployed application
- Evaluation harness and guardrails
- Hand-off documentation and training
AI integrations
Wire LLMs and AI services into the tools your team already lives in.
- CRM, ERP, support and e-commerce hooks
- Authentication, rate-limiting, observability
- Cost controls and model routing
- Failover and graceful-degradation paths
Ongoing support
Stay sharp after launch — monitoring, model upkeep, iteration.
- SLA-backed monitoring and incident response
- Quarterly model and prompt review
- Iterative feature shipping
- Cost and quality tuning
How a project runs.
- 01
Discover
We listen, audit your stack, and map the highest-leverage AI bets.
- 02
Design
Crisp scope, success criteria, architecture and a deliverable timeline.
- 03
Build
Tight feedback loops. You see weekly demos and own the repo.
- 04
Ship & support
Launch, observe, iterate. We stay only as long as you want us to.
Ready to scope a project?
Tell us about the workflow you’d like AI to take on. We’ll come back within one working day.