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AI Quality & Agent Operations

Know whether your AI does the job.

Independent evaluation and human review for the AI your business relies on. Find failures, decide what to fix and keep checking as your tools change.

For small businesses and growing teams using AI to serve customers, move work between systems or support online buying.

Start an AI Quality Audit

Start with one workflow. Fixed-scope pilot: $1,500.00.

From a first check to ongoing quality.

01

Independent AI evaluation

Check a working AI workflow against the outcomes your business needs. Find missed tasks, unreliable answers and failures hidden by a good demo.

02

Human review and agent QA

A person reviews the evidence, prioritizes problems and explains what to fix. Test permissions, approval steps, repeated behavior and recovery when tools fail.

03

Continuous EvalOps

Build an ongoing evaluation process around agreed test scenarios, change reviews and release decisions. Set the cadence and coverage to fit how often your workflow changes.

04

MCP and A2A interoperability testing

Test the tool connections and agent handoffs your workflow uses. Agree the interfaces, versions, permissions and expected outcomes before testing begins.

MCP connects AI applications with tools and context; A2A supports communication between agents. We evaluate the agreed implementation and business outcome. Protocol support alone does not establish reliability.

Agent-to-agent website commerce

Test the journey from discovery to a completed transaction.

When one agent buys or books through another, every handoff matters. We test the agreed path through your website and connected systems using test mode or test transactions, with no real purchases.

Discovery and offers

Can a buyer's agent find the right service, read its price and understand the limits?

Handoffs and approvals

Does the request reach the right agent or person, with the customer's instructions and spending limits intact?

Checkout and confirmation

Does a test purchase produce the expected result, with a clear distinction between pending, failed and completed?

Failure and recovery

What happens after a declined payment, an interrupted handoff or a retry? Check for lost requests and duplicate actions.

Evidence your team can act on.

Get a human-reviewed report with observed failures, business impact, reproduction steps and prioritized fixes. We mark missing evidence as unknown and separate observed results from assumptions.

Your team makes the release decision. Broader integrations, repairs and custom EvalOps are scoped separately from the initial audit.

An evaluation covers the agreed scenarios and version. It is not certification or a guarantee of future performance.

Common questions

Who is this for?

Small businesses, growing companies and agencies with a working AI workflow to evaluate. Bring one workflow, its expected outcome and the decision you need to make.

Can you evaluate AI built by another provider?

Yes. The assessment can review a workflow built by your team or another provider. We agree access, test conditions and success criteria first. Findings are based on observed evidence and reviewed by a human.

Do you test agent-to-agent website commerce?

Yes, within an agreed workflow. Testing can cover discovery, offer interpretation, handoffs, approvals, checkout and recovery. Checkout tests use test mode or test transactions, with no real purchases.

Does the audit include ongoing monitoring?

No. The AI Quality Audit is a fixed-scope starting point. Recurring regression testing and wider continuous EvalOps are scoped separately. Coverage depends on the tools, versions and access agreed for your workflow.