Industries Government and public sector
Government and public sector
In the public sector, every automated decision has to be explainable and on the record. We deploy AI that stays accountable to the people it serves.
- ATO
- FedRAMP
- Records Retention
- Section 508
- 25+ yrs enterprise IT
- Fortune 500 regulated-data environments
- Founder-led
The pressure
Public accountability leaves no room for a black box.
Agencies operate under records laws, procurement rules, security requirements, and constant public scrutiny. An AI system that acts with no clear, reviewable record is a public-records problem and a trust problem waiting to happen. The promise of AI is real, but only if every decision can be explained and defended.
What the rules require
What public accountability requires.
- Procurement and authorization: systems have to clear procurement rules and an authorization to operate before they handle real data.
- Public records: automated decisions and the data behind them can become part of the public record and a records request.
- Data residency: where data is stored and processed is a requirement, not a preference.
- Accessibility: public-facing systems have to meet accessibility standards such as Section 508 and WCAG.
- Records retention and auditability: retention schedules apply, and every action needs to be reconstructable.
Where it goes wrong
Where public-sector AI loses trust.
- The black-box decision
- An automated determination no one can explain when a constituent or auditor asks.
- Residency drift
- Data processed somewhere the agency rules do not allow, discovered after the fact.
- The unproducible record
- An interaction a records request asks for that the system cannot reconstruct.
What we bring
Built for environments where the record is the job.
My career has been in regulated, audit-heavy enterprise IT, where access control, oversight, and evidence are the work rather than an afterthought. That transfers directly to public-sector delivery: decide what is safe to automate, keep a human on the decisions that matter, and capture the record as the system runs.
A governed workflow
A governed workflow: triaging constituent requests on the record.
Take a common target, routing and drafting responses to constituent requests.
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The agent operates inside approved residency and access boundaries, not a general cloud default.
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Drafts route to a staff member for approval before anything reaches a constituent.
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Every step is logged so the interaction can be produced under a records request.
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Retention is applied automatically, matching the agency schedule.
How Command Center fits
Accountable, recorded, defensible.
Command Center runs AI agents with permissioning, human-in-the-loop approval, and continuous audit logging, so public-sector automation is supervised and every action can be explained and produced on request.
If you are accountable for getting AI right here, let's talk.
A short working session is the simplest next step. No pitch, just a clear read on where you stand and what is worth doing next.