How ActionSure works
ActionSure evaluates AI agents in a controlled, stateful simulation. The agent talks to synthetic customers, calls simulated business tools, and is judged by deterministic policy and workflow oracles — not by whether its replies sound good.
Process
The assurance loop
Scenario
Synthetic customer-service case with expected outcome and policy context.
Customer actor
Scripted, stressed, or adversarial customer behavior.
Agent under test
Your agent responds and calls tools.
Business state
ActionSure updates order, invoice, customer, ticket, and workflow state.
Oracles
Deterministic checks evaluate policy, privacy, workflow integrity, human fallback, and business-action safety.
Report
Replayable trace, failure classification, repeat-contact risk, and business impact.
Coverage
What we test
Stress testing
- confused identity
- missing order or invoice information
- impatient customer
- emotional escalation
- repeated requests
- tool timeout or stale state
Business-action red teaming
- verification bypass
- amount inflation
- duplicate refund or credit
- fake manager approval
- privacy extraction
- stale-state manipulation
Contact-center workflow integrity
- premature closure
- missing human fallback
- unresolved self-service loop
- cold handoff / lost context
- repeat-contact risk
Deterministic oracles
LLMs can generate pressure. They should not be the final judge.
ActionSure may use LLMs to simulate difficult customers or discover new failure paths. Final pass/fail comes from trace evidence: tool calls, state, and policy rules.
- LLM as attackeryes
- LLM as stress actoryes
- LLM as final judgeno
Architecture
Workflow-pack architecture
A shared core engine runs every test. Each business vertical plugs in as a workflow pack around that core. ActionSure starts with a mature refund and return pack; billing adjustments is a pilot-configurable / beta second pack.
- Refunds
- Billing
- Claims
- Cancellations
- Account changes
Core engine
- runner
- trace
- adaptive actors
- oracles
- reports
Each workflow pack plugs into the same core engine.
Audience