Your product has a new user.
You don't know how it behaves yet.
AI agents are already discovering, comparing, calling, buying from and operating software. We reproduce those journeys inside your product, expose the moments that lose the business, change the environment, and verify the result with controlled experiments.
One experiment.
Five failure patterns.
Different failures. One
repeatable experiment.
The agent needs a price. Your pricing page gives it a sales funnel.
The agent has clear buying intent. The competitor publishes seat bands, eligibility and effective prices; your page leaves key terms ambiguous.
01 · BEFORE / LOST
02 · OPTIMIZATION
Seat bands · minimums · annual/monthly terms · eligibility · effective price.
03 · AFTER / DEMO VERIFIED
Your answer exists. The agent finds the competitor first.
Support content is fragmented and ambiguous. The competitor publishes one canonical, quotable answer.
01 · BEFORE / LOST
02 · OPTIMIZATION
Explicit claims · comparison-ready facts · stable URLs · support/version context.
03 · AFTER / DEMO VERIFIED
The human workflow works. The agent is being charged in clicks.
A customer wants a board-ready revenue report. A person moves through filters, date pickers, exports and formatting screens. An agent can do the same work as one explicit capability—if you give it one.
01 · BEFORE / LEAK
02 · OPTIMIZATION
One agent action: generate_report. Explicit inputs, deterministic output, scoped permissions and a machine-readable receipt.
03 · AFTER / DEMO VERIFIED
The agent is using your product. Your billing system still thinks it is one human seat.
Once an agent can execute a capability directly, the business can see the work as discrete demand instead of pretending it is another human seat. That creates a measurable unit to price, optimize and scale.
01 · BEFORE / INVISIBLE
02 · OPTIMIZATION
Task-level capability · usage receipt · predictable unit price · human plan unchanged.
03 · AFTER / DEMO VERIFIED
Your agent doesn't have a knowledge problem. It has an authority problem.
Internal playbooks repeat the same policy in different words, contradict one another across versions, and bury the one source an agent should trust. The result is wasted tool calls, wrong decisions and silent escalation.
01 · BEFORE / DRIFT
02 · OPTIMIZATION
Detect duplicates · resolve conflicts · mark canonical sources · attach version/effective-date context · route paid tools only when needed.
03 · AFTER / DEMO VERIFIED
Stop optimizing
what agents did.
Start optimizing
what agents can do.
Analytics can show where agents went. Visibility tools can show what they cited. The missing step is experimentation: change what the agent encounters, run the same task again, and measure whether the business outcome actually moved.
Agents don't behave like seats.
They consume capabilities.
A human might buy $49/month. An agent might generate a completely different usage profile: retrievals, tool calls, retries, tokens and infrastructure load.
Your existing pricing model may have no idea what your new users actually consume.
Simulate the demand before you price it.
Test agents you own.
Test agents you don't.
You control one side of the ecosystem. We give you a controlled way to test the other—and design for behavior you cannot dictate.
From simulation to
a change you can defend.
It is a verified change with evidence attached.
A winning candidate leaves the loop with evidence: what changed, which agents tested it, what moved, what it cost to make the change, and where the result can be reproduced.
Agent traces
See the path, the evidence, the work attempted and the exact moment the business outcome is lost.
TRACE / FAILURE / CAUSEOptimization candidates
Turn the failure into a concrete change: content, interface, API, policy, knowledge structure or pricing surface.
CANDIDATE / DIFF / TRADEOFFControlled evidence
Re-run the same task against the same population and compare the business metric—not a model's opinion.
BEFORE / AFTER / SIGNIFICANCEVerified delta ✓
Ship with the winning change, measured upside, operational trade-offs and an experiment trace your team can inspect.
✓ READY TO SHIP