Three ways we move programs.
Every engagement is led by a senior operator — not handed to a bench. Scope is explicit, status is artifact-backed, and success is defined in your metrics, not ours.
Technical Program Management
Senior, hands-on delivery leadership for complex software programs — especially ones under production pressure. We bring the discipline that keeps distributed teams shipping and executives informed: clear priorities, honest status, and escalations handled before they become incidents.
What we run
- Release and sprint management across distributed engineering teams
- Live production triage, prioritization, and daily client communication
- Executive reporting: clear, accurate, never alarmist
- Vendor, stakeholder, and cross-functional coordination
- Roadmap and phased contract strategy (stabilize → extend → transform)
Where it fits
- Your program is live, under pressure, and needs a steady owner
- You have engineers but no one converting business goals into a shippable plan
- Client or executive trust needs rebuilding through disciplined delivery
AI Consulting & Agentic Systems
Practical AI systems design from someone who runs one in production every day. We architect and direct the build of agentic platforms — agents with defined roles and memory, MCP tool servers, multi-model routing across frontier and local models, and knowledge-graph reasoning layers — under governance that produces evidence, not vibes.
What we build
- Agent orchestration: multi-agent architectures with governed autonomy
- MCP integration strategy — making your systems agent-accessible
- Multi-model routing: frontier APIs + self-hosted models, cost-controlled
- RAG, knowledge graphs, and persistent memory architectures
- AI-gated CI/CD: pipelines where agents build, test, and review with hard gates
Where it fits
- You've piloted AI tools but nothing has reached production
- You need an architecture — not another proof of concept
- Security, auditability, and governance are non-negotiable
AI-Native Delivery Transformation
The way software gets built is changing: small senior teams directing agents now outperform larger traditional ones. We design and install that operating model — where agents write the majority of code and tests inside a governed pipeline, and humans do architecture, judgment, and review. The target isn't incremental: it's multiples of current throughput at equal or better quality.
What we deliver
- Team and operating-model design for agent-augmented delivery
- Governed build pipelines: lint, tests, coverage, security, AI review — gated
- Evidence discipline: no completion claims without verifiable artifacts
- Evaluation harnesses that prove quality to leadership and buyers
- Change management and executive business case
Where it fits
- Delivery is slow and regression-prone despite adequate headcount
- Leadership wants an AI strategy that shows up in the P&L
- You want the upside of agents without giving up control
Not sure which one you need?
Most clients aren't. Describe the situation — we'll tell you plainly what we'd do, in what order, and what it would take.