Agentic Workflow Testing
Validate AI agents before they touch customers, data, or business systems. Tool calls, API actions, browser workflows, multi-step decisions.
Who It Is For
- You are building agents that take real actions, not just generate text
- Your agents call tools, APIs, browsers, or production systems
- Your agents make multi-step decisions without human review at every step
- Agent failure has real business cost, regulatory exposure, or customer impact
- You need confidence before scaling agent deployment
Agents that take actions need different testing
LLM evaluation tests what the model says. Agentic testing validates what the agent does.
An agent that calls APIs can hit wrong endpoints with malformed parameters. An agent with browser access can navigate to unintended pages. An agent making multi-step decisions can compound errors.
Traditional eval suites do not catch this. You need adversarial testing of action sequences.
What You Get
| Deliverable | Description |
|---|---|
| Agentic test framework | Test suite exercising decision paths, tool calls, recovery logic |
| Tool misuse scenarios | Adversarial scenarios testing tool usage boundaries |
| Multi-step decision validation | Tests for chained reasoning, state preservation, goal drift |
| Permission boundary tests | Validation of scope, permissions, operational constraints |
| Browser workflow testing | Playwright-based validation if applicable |
| API action audit | Verification of API calls within intended parameters |
| Failure mode taxonomy | Documented catalog of agent failure modes |
| CI integration | Tests wired into your release process |
How It Works
Step 01: Discovery
Week 1 discovery. Map agent architecture, tool surface area, action boundaries, and failure modes in scope.
Step 02: Build
Weeks 2-5 build. Agentic test framework, tool misuse scenarios, permission boundary tests, browser workflow tests, API action audit.
Step 03: Validation and handover
Weeks 6-8 validation and handover. Run suite against live agent behavior. Document failure mode taxonomy. Two engineering handover sessions.
Investment
Agentic Workflow Testing is scoped based on the number of agents, tool surface area, API actions, browser workflows, permission boundaries, and failure modes that need validation.
After discovery, you receive a fixed-scope proposal with timeline, deliverables, and commercial terms.
Success Metrics
Your agents can be tested before deployment with the same rigor as deterministic code.
Your team has confidence to expand agent capabilities knowing failure modes surface in testing.
Engineering leadership can defend the safety posture of agent deployments.
Sample Deliverable
Working code repository. Agentic test suite. Tool misuse scenarios. Permission boundary tests. Playwright browser tests if applicable. Failure mode taxonomy. CI workflow files. Documentation. Anonymized sample architecture available on request.