Public sector
Decide which AI use cases are worth public money.
Most public entities have no AI statute and no enterprise standard to inherit. We build the framework, price the use case before a dollar is committed, and leave you documentation you can defend to an auditor. We do not sell or build AI systems. We align yours to NIST AI RMF, ISO/IEC 42001, and the regulation coming behind them.
Audience
Who this is for
CIOs, program and procurement leaders, and agency or district leadership at state agencies, counties, municipalities, school systems, and the cooperatives that serve them.
You are accountable to auditors, elected officials, and the public, which makes responsible adoption a duty rather than a feature.
Constraints
What you are up against
There is no template to inherit
Most public entities have no comprehensive AI statute or enterprise governance standard to copy. The framework has to be built for you.
Every dollar is accounted for
With little cash to experiment, you need to know which use cases are worth pursuing, and what running them responsibly actually costs, before you commit.
It has to be defensible
Risk classification, procurement guardrails, an AI inventory, and training you can stand behind when someone asks how a decision was made.
Readiness
Four questions to answer before you deploy
01
Data provenance
Can you verify the origin and accuracy of every data point the system will use?
If you cannot trace the source, you cannot defend the output. We inventory the data behind each use case and flag what is not verifiable before it reaches a model.
02
Policy alignment
Is the use case tied to a mission outcome and a stated risk appetite?
Every approved use case should map to a program outcome and a risk tier your leadership has signed off on. We write both.
03
Oversight and ethics
Who owns the decision when the AI is wrong?
Accountability sits with a named person, not a vendor or a tool. We define review roles, escalation paths, and the point where a human has to sign.
04
Transparency
Can you explain how AI informed a decision six months from now?
Auditors ask after the fact. We set the logging, documentation, and disclosure standards that make that answer available when it is needed.
Differentiation
Why Optimum
We govern what we do not sell
No AI product line, no reseller margin, no incentive to recommend a deployment. That independence is why the advice survives an audit.
Our standards depth is verifiable
NIST AI RMF, ISO/IEC 42001, and direct participation in the EU AI Act Code of Practice.
We scale across entities
Available on NPPgov, Ohio STS, and Texas DIR, so one framework can serve many entities through vehicles you already buy on.
The planner
Price a use case
before you commit to it
The AI Cost and Control Planner models a workload end to end, including the human review that responsible operation actually requires.
Contact
Talk to us about governing AI
Tell us the use case you are weighing and we will tell you what it takes to govern it.