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AI evaluation, security & governance

Know how well your AI works, who can use it for what, and who is accountable when it changes.

AI systems change — models update, data shifts, people find new uses. Governance means having practical answers to: Is it working? Who has access? What needs approval? Who is responsible? We help you put those answers in place, sized to your organization. We don't certify compliance with any regulation, but we can help you document controls and work alongside your legal or compliance advisors.

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When this helps

You have AI in use but no consistent way to test it.
Leadership or customers are asking how AI is controlled.
You're about to give an agent the ability to take actions.
Nobody is clearly responsible for an AI system once it launches.

What AgentSpring does

1
Define success criteria
Agree on what good looks like for each AI use — accuracy, refusals, response quality — in measurable terms.
2
Test reliability
Build evaluation sets and run them, including tricky and adversarial cases.
3
Set controls
Access permissions, approval steps, logging, and data-handling rules.
4
Assign responsibilities
Document who owns each system, who reviews changes, and what happens when something goes wrong.

What you receive

These are potential deliverables. Your proposal defines the exact deliverables and responsibilities; not every item applies to every engagement.

Success criteria for each AI use in scope
Evaluation sets and results
Access and approval control recommendations or configuration
An AI use inventory
Operating responsibilities and incident steps

What we need from your team

Good results depend on your team's involvement.

Owners for each AI system
Involvement from IT, security, and legal as relevant
Your existing policies and requirements

How success is assessed

Each AI system has an owner, criteria, and a test you can rerun
Controls match agreed risk levels
Your team knows what to do when results degrade

What affects scope, timing, and cost

Number of AI systems in use
Sensitivity of data involved
Existing security and compliance programs
Depth of testing required

Projects are scoped around your goals, existing systems, and the work required. Before work begins, we agree on deliverables, responsibilities, fees, and any ongoing software or support costs.

Where relevant, third-party licenses, hosting, model usage, and ongoing support are separate costs identified before work begins. Your proposal also defines integration access, ownership arrangements, handover, and support scope.

How pricing works

Illustrative example

Example: before an agent can update records

Before letting an agent update CRM records, a team might define which fields it may change, require approval for deletions, run fifty test scenarios including ambiguous requests, and name an owner who reviews a weekly activity log.

See work & examples

Questions about this service

Can you make us compliant with HIPAA or other rules?

We don't provide legal advice or compliance certification. We help document and implement practical controls and coordinate with your advisors.

We're a small company. Is this overkill?

Governance can be one page. We size it to your risk.

How often should we re-test?

Whenever the model, data, or use changes, and on a regular schedule you set.

Related services

Talk through ai evaluation, security for your business.

The free workflow review is your starting point. Bring a project, a process, or a question about where to start.

What happens on the first call?

We’ll discuss what you want to improve, the tools you use, and the constraints you’re working within. You’ll leave with 2 to 3 automation ideas, whether or not we work together.

Start with a defined project or an uncertain problem. You’ll leave with 2 to 3 automation ideas, whether or not we work together.