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? That's what the first call is for.
Thirty minutes, no pitch deck. Describe the situation — we'll tell you plainly what we'd do, in what order, what it costs, and what you'd measure to know it worked.