AI practice
Most organizations can approve an AI use case. Few can price it, govern it, and prove it worked.
We build the connective tissue: which use cases earn a budget line, what they cost to run responsibly, and the governance your team owns after we leave. We do not sell or build AI systems. We align them to the frameworks that hold organizations accountable for their impact, today and as regulation moves.
Choose your path
Where do you sit?
Public sector
You are
CIOs, CISOs, program and procurement leaders, and agency, county, and district leadership at state agencies, counties, municipalities, school systems, and the cooperatives that serve them.
You answer to
Auditors, elected officials, oversight boards, and the public.
Private sector
You are
CTOs, CISOs, chief risk and compliance officers, general counsel, and the heads of product and engineering inside regulated enterprises.
You answer to
Regulators, examiners, external auditors, executive leadership, and your board.
Capability
Decide, price, govern, prove
Decide
Not every AI use case deserves a budget line. We triage candidates against business value, data readiness, and risk tier.
Price
We model what a use case costs to run end to end, including the human review responsible operation requires and the controls that cap the exposure.
Govern
Policy, acceptable use, risk classification, an AI inventory, procurement guardrails, and an intake process your team runs after we leave.
Prove
Readiness against NIST AI RMF and ISO/IEC 42001, documentation a reviewer can follow, and training for the people who operate it.
Engagements
How we engage
Four ways in. Each one ends with a document you own.
01
AI readiness assessment
An inventory of AI already in use, each system risk-classified, a gap list scored against NIST AI RMF, and a prioritized remediation sequence.
02
Use case cost and control review
An end-to-end run-rate model for one named workload including human review, the exposure ceiling if it runs away, and the controls that cap it.
03
AI governance framework build
Policy set, acceptable use standard, risk tiers, procurement language, intake and review workflow, and the training to operate it.
04
Standing advisory
Review board support, new use case intake, and updates as standards and regulation move.
Track record
Four decades inside regulated environments
Founded:
1984
Impact:
300+ agencies served
AI practice:
Established 2024
Independence:
We do not sell or build AI systems
The frameworks we align you to
NIST AI RMF · ISO/IEC 42001 · ISO 31000 · EU AI Act
The credentials behind the practice
Led by Optimum's Chief Technology Officer and AI Practice Director: NIST AI RMF Architect 1.0, ISO/IEC 42001 Lead AI Implementer, ISO 31000 Risk Management Analyst, and Plenary Participant in the EU AI Act Code of Practice.
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.