Industries Government and public sector
Clear the backlog without costing public trust.
We deploy AI for public sector agencies so backlogs and records requests move faster, with every automated decision explainable to the people you serve.
25+ years in enterprise IT, including Fortune 500 regulated-data environments.
- ATO
- FedRAMP
- Records Retention
- Section 508
No preparation needed. You leave with next steps in writing.
Assess, build, embed
- 25+ yrs enterprise IT
- Fortune 500 regulated-data environments
- Founder-led
Constituent backlogs and records requests absorb staff time an agency does not have, and an automated decision nobody can explain costs public trust on top of the hours. We deploy the version that answers both.
The pressure
The backlog costs staff hours. A black box costs the standing to keep working.
Constituent correspondence, records requests, and case intake absorb capacity that headcount rarely arrives to cover. That is the case for automating some of it. The constraint is that agencies operate under records laws, procurement rules, security requirements, and constant public scrutiny, so a system that acts with no clear, reviewable record turns into a public-records problem, an oversight hearing, and a trust problem that outlives the efficiency gain. The promise of AI here is real only if every decision can be explained and defended.
What the rules require
What public accountability requires.
- A system that has not cleared procurement rules and an authorization to operate cannot touch real data, so that timeline belongs in the plan rather than in the surprise column.
- Automated decisions and the data behind them can become part of the public record, which means a records request is a normal event to design for, not an emergency.
- Where data is stored and processed is a requirement, not a preference, and residency found to be wrong after the fact is a rebuild rather than a fix.
- Public-facing systems have to meet accessibility standards such as Section 508 and WCAG, and retrofitting accessibility costs several times what building it in does.
- Retention schedules apply, and every action needs to be reconstructable, because the request that cannot be answered is the one that becomes the story.
Where it goes wrong
What each of these costs an agency.
- The black-box decision
- An automated determination no one can explain when a constituent or an auditor asks. The program pauses while somebody works out how it decided.
- Residency drift
- Data processed somewhere the agency rules do not allow, discovered after the fact. Unwinding that costs more than doing it correctly would have.
- The unproducible record
- An interaction a records request asks for that the system cannot reconstruct, which turns a routine response into a public problem.
What we bring
You get the throughput and the record at the same time.
The judgment is the same one that governs the build: decide what is safe to automate, keep a person on the decisions that matter, and capture the record as the system runs rather than afterwards. It comes from a career in regulated, audit-heavy enterprise IT, where access control, oversight, and evidence are the work rather than an afterthought.
A governed workflow
A governed workflow: clearing constituent requests without losing the record.
Take a common target, routing and drafting responses to constituent requests, and the queue it never quite gets ahead of.
By hand, then governed
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The agent operates inside approved residency and access boundaries, not a general cloud default.
Human approval -
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 the governed build fits
Faster queues, explainable decisions, nothing to reconstruct.
Every action can be explained and produced on request, because we run AI agents with permissioning, human-in-the-loop approval, and continuous audit logging. Staff spend their hours on the cases that need judgment instead of on the routing that never did.
How a governed agent runs
Evidence
A 40+ page site built to strict government-contract standards.
Technology Alliance Solutions 40+ page site to government standards
If you are accountable for getting AI right here, let's talk.
A twenty minute intro call is the simplest next step: we work out which step fits, and you leave with one specific thing to act on. If you want the senior read on your business rather than a routing conversation, that is the AI Leverage Briefing.
Within one business dayYour scope is settled, in writing.
What you walk away with Prioritized 90-Day Roadmap · Risk Register · Governance and Compliance Gap Assessment · Safe-to-Deploy Read
25+ years in enterprise IT, including Fortune 500 regulated-data environments. See a named result
If AI is not the right tool for your problem, you will hear that from us.