Services
Scoped engagements, senior people, no seat-filling.
Every engagement ends with something you own: a decision, a working system, or a team that can build without us.
01
AI Strategy & Assessment
Before anyone writes a prompt, we work out which problems are worth solving with a model — and which are not.
What it includes
- Use-case inventory scored on value, feasibility, and risk
- Technical feasibility review against your data and systems
- Build-vs-buy analysis and reference architecture
- Cost and latency modeling for the top candidates
- A sequenced 2–3 quarter roadmap with decision gates
- Who it's for
- CTOs and Heads of Product who have budget and pressure to act, but no shortlist they trust yet.
- Typical engagement
- 2–4 weeks
02
Build & Integration
We build the thing, in your repo, with your conventions — Claude-powered applications, agents, retrieval systems, and MCP servers.
What it includes
- Production application or service built on the Claude API
- Agentic workflows with tool use, retries, and human checkpoints
- Retrieval and context pipelines over your own data
- MCP connectors exposing internal systems to agents safely
- Test suites, evaluations, and CI wiring you own outright
- Who it's for
- Engineering leaders who need senior hands that have already shipped this class of system.
- Typical engagement
- 6–12 weeks per system
03
Enterprise Deployment
The gap between a working prototype and something security, finance, and legal will sign off on.
What it includes
- Threat model, prompt-injection and data-exfiltration controls
- Access, tenancy, and PII handling patterns
- Evaluation harnesses and regression gates for model changes
- Cost controls: caching, routing, batching, budget alerts
- Observability, tracing, and incident runbooks
- Who it's for
- Platform and security teams accountable for AI systems already in, or heading to, production.
- Typical engagement
- 4–8 weeks
04
Enablement & Training
We would rather make your team dangerous than become a permanent dependency.
What it includes
- Hands-on workshops for engineers, PMs, and analysts
- Claude Code adoption playbook for existing codebases
- Internal prompt, eval, and review standards
- Office hours during your first independent builds
- Champion program to spread practice across teams
- Who it's for
- Organizations standardizing how dozens of engineers work with AI, not just one squad.
- Typical engagement
- 1–6 weeks, or ongoing
Let's find your first high-impact AI use case.
A 45-minute conversation is usually enough to know whether there's a real opportunity — and what it would take to ship it.