Data engineering & integration · Data quality & reconciliation
02 AI & Machine LearningApplied machine learning · Generative AI
03 Software & Product EngineeringCustom application development · Legacy modernization
04 Cloud & CybersecurityCloud migration & modernization · Cloud operations & support
05 Acquisition & Financial ManagementAnalysis of Alternatives · Market research & COTS/NDI evaluation
06 Program & Project ManagementProgram management & PMO support · Process improvement
Reconcile the record · instrument the definitions · ship the smallest thing that runs · close the loop.
Readiness, sustainment, acquisition and program financial systems.
IntelligenceSecure analytics, transcription and technical talent for missions.
Federal CivilianEnterprise cloud, case workflows and public financial accountability.
State, Local & TribalFederal-grade accountability on a state or municipal budget.
HealthReliability, forecasting and workforce analytics for clinical operations.
Commercial & Small BusinessFor organizations that must defend an AI-assisted decision.
Where a customer can't be named, the component and scale are characterized instead.
ALL WORKGAO, CBO and IG findings, read closely and written up plainly.
ALL INSIGHTSEngineering, data science, and Ghost Works.
OPEN ROLES INTERNSHIPSHands-on projects and practical challenges, including our Drone Development internship.
EXPLORE INTERNSHIPS →Plan for the first contested decision
Every transformation reaches the moment when the new process produces an answer somebody senior does not like. That moment decides whether it holds.
Change programs are planned around adoption curves and communication campaigns. They are decided by a single event that rarely appears in any plan: the first time the new process produces an answer that is inconvenient to someone with the standing to override it.
What happens next sets the precedent. If the override is quiet and unexplained, everyone learns that the old path still works and the new process becomes an additional step rather than a replacement.
So we plan for it explicitly. Map who gains and who loses from the change. Establish what each needs in order to say yes. And design an escalation path for disputes that does not default to reverting.
Adoption should be instrumented rather than assumed. Self-reported usage is unreliable, and a declining usage curve is the earliest honest warning that the design has not survived contact with the work.
Enthusiasm at kickoff predicts nothing. Behaviour after the first inconvenient result predicts everything.
If this describes a problem your program is carrying, the conversation starts with the question two systems answer differently.
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