Technical consulting for small federal contractors pursuing software-intensive work.
→Translating vague customer asks into defensible technical approaches.
→Technical-volume writing, architecture and staffing plans, phased delivery, risk posture.
→Proof-of-concept implementations when a working demo is worth more than prose.
→Post-award, often extends into expert support during delivery.
ReqRequirementStatus
L.3.2Phased migration approachmet
L.3.3Transition-in planmet
L.4.1Key personnelpartial
M.2.1Risk mitigationopen
Illustration of a compliance matrix: solicitation requirement numbers, each mapped to a proposal section with a met, partial or open status.
Illustrative
Engineering
Mission-critical engineering
Production systems for customers with regulatory, retention, or uptime constraints that rule out typical SaaS.
→Backend services, frontends, event-driven pipelines with durable audit trails.
→Self-hosted or on-prem deployments on infrastructure the customer owns.
→Observability and LLM-specific tracing when AI is in the loop.
→Long engagements; systems delivered to be owned, not rented.
$ deploy --env=staging
✓ typecheck and tests passed
✓ signed build verified
✓ audit trail written
→ rolled out to staging
Illustration of a terminal deploy log: a staging deploy command followed by passing checks, a verified signed build, an audit trail entry and a completed rollout.
Illustrative
Advisory
AI readiness & advisory
Independent advisory for organizations evaluating generative-AI adoption without the usual vendor incentives.
→AI readiness assessments and governance / policy review.
→Pilot scoping — what's worth trying, what isn't, and why.
→Evaluator design for systems already in production.
→Second-opinion review on in-flight AI build decisions.
Data→Model→Review
Data · what exists and who owns it
Model · what is worth piloting
Review · where a person signs off
Illustration of an AI readiness flow: data, then model, then a human review step, which is highlighted.
Illustrative
Use cases
Where engagements land.
Three common shapes of engagement for federal and regulated contractors.
01
Software-intensive pursuits
Primes carrying the domain but light on modern software architecture — engagements that need defensible technical volumes, not boilerplate.
02
Regulated delivery
Programs with CMMC, FedRAMP, ITAR, or records-schedule boundaries where delivery needs engineers comfortable with the constraint, not working around it.
03
AI pilot scoping
Organizations being pitched AI projects by vendors and wanting an independent technical read before signing — or a second opinion on a pilot already underway.
Scoping something?
Engagements begin with a conversation. Write with as much or as little detail as you have.