Agent readiness audit

Audit AI-agent journeys through real tasks.

See where critical customer journeys fail, why they fail and what engineering should change.

Abstract website audit session showing browser layers, task traces, layout movement and verification
Illustrative audit chain

A scoped audit answers operational questions.

The audit starts from a customer goal and ends at a verified state, not a checklist count.

Can the agent find the current facts it needs?

Can it interpret prices, policies, inventory and controls?

Can it complete the allowed action without losing state?

Can it recover from validation, expired sessions and unavailable inventory?

Every conclusion stays connected to the run.

This illustrative chain shows how an observed problem becomes an engineering action.

1

Scenario

Compare delivery options and select an available method.

2

Run

Browser agent reaches checkout in an approved sandbox.

3

Assertion

Selected method remains visible and reflected in the order summary.

4

Evidence

Recording, DOM snapshot, accessibility tree and layout-shift trace.

5

Finding

Inventory hydration moves the delivery control during the action window.

6

Remediation

Reserve the control height and keep the accessible name stable during hydration.

Review the session, not only the final label.

Timing, retries, interventions and layout stability explain how reliable a success really was.

Agent session replay represented as a chronological sequence of browser states ending in a verified outcome
Browser interface layers showing an interaction target moving between rendered states for CLS analysis

Session recording

Replay the agent path with screenshots, steps and final-state assertions aligned in time.

Completion time

Measure wall-clock duration and time spent waiting for navigation, rendering and recovery.

Retries and interventions

Separate autonomous recovery from human help and repeated agent attempts.

Cumulative Layout Shift

Capture page-level CLS and target movement around the intended interaction.

The audit package is built for action.

Results are useful to leadership, engineering, QA, product and security without hiding uncertainty.

  1. 01Executive summary and channel scorecards
  2. 02Task by agent result matrix
  3. 03P0 and P1 blockers with reproduction steps
  4. 04Session recordings and evidence artifacts
  5. 05Remediation backlog with acceptance criteria

Boundaries are agreed before the first run.

Public tests stop before payment, booking, submission, deletion or another irreversible action. Approved sandboxes can cover the full scenario.

What the audit does not claim

  • A single agent result does not represent every agent product.
  • A detected technology is not proof that a business task works.
  • A readiness score is not a guarantee of future model behavior.

A partner audit starts small and stays reproducible.

Scope the journey

Choose one to three business-critical tasks, environments and stop gates.

Run and review

Execute repeatable baselines, inspect evidence and confirm failure attribution.

Prioritize and retest

Ship selected fixes, rerun the same contract and compare the evidence.

Audit questions

Can you test authenticated workflows?

Yes, with approved test accounts, fixtures, MFA handling and explicit access boundaries.

Do you record the agent session?

The audit contract supports session recording, screenshots, step traces, timing and final-state evidence with sensitive data redacted.

How many times is a scenario run?

Standard scenarios run three times and critical scenarios five times unless the audit manifest defines a different justified protocol.

Bring one difficult journey into focus.

Join the private beta waitlist or review how evidence and safety are handled.