How do I test an Agentforce agent?

Point TestMu AI at your Agentforce agent endpoint, ingest your Topic instructions and Knowledge articles, and let it auto-generate scenarios. An AI evaluator then chats with the agent like a real customer across thousands of cases, checking that the Atlas Reasoning Engine picks the right Topic, fires the right Action, and stays grounded, with a clear pass or fail on each.

Why should I test agents built on Agentforce?

Agentforce makes it fast to ship autonomous service and sales agents, but a live agent still quotes your policies and takes actions across your CRM. A change to a Topic, instruction, guardrail, or Data Cloud source can quietly break a conversation that worked yesterday, or let the agent invent a return policy from two outdated articles. Independent testing catches wrong Topic routing, invented facts, broken Action calls, and lost context before a customer sees them.

Can TestMu AI check that the agent fires the right Flow or Apex Action?

Yes. Define validation criteria that assert the agent selected the correct Topic and triggered the right Flow, Apex, prompt-template, or MuleSoft Action with valid inputs, rather than skipping it or passing a missing required field. Each scenario reports whether the expected Action ran, alongside grounding and hallucination scores.

How does TestMu AI catch Agentforce hallucinations and bad grounding?

An AI evaluator interacts with your agent like a real customer, sending structured prompts across scenarios and scoring each reply for hallucination, bias, context awareness, and completeness. When the agent quotes a price, policy, or order detail, the score reflects whether the answer is grounded in the actual Data Cloud or CRM record instead of fabricated, with confidence-weighted pass or fail per scenario.

Can I run Agentforce tests against a sandbox before activating in production?

Yes. Run the same scenario suite against your agent in a sandbox org, schedule it with preset frequencies or full custom cron expressions with IANA timezone support, and trigger it from CI/CD. Catch regressions on every Topic, instruction, or guardrail change before you activate the agent version for live customers.

Does this replace Agentforce's own testing tools?

No, it complements them. TestMu AI is an independent QA layer that evaluates your agent from the outside, the way a customer would, rather than checking configuration. Keep building in Agentforce and use KaneAI and agent testing to prove the agent behaves correctly before and after every release.

Test the AI Agents You Build on Salesforce Agentforce

TestMu AI deploys autonomous evaluators that chat with your Agentforce agent across thousands of scenarios, catching misrouted Topics, hallucinated policies, and broken Actions before customers do.

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Deep Dive into Testing Your Agentforce Agent

Service and Sales Conversations

Actions and Grounding

Scenario Generation

Go-Live Assessment

Test Agentforce Service and Sales Conversations

Test your Agentforce Service and Sales agents across multi-turn conversations. TestMu AI scores every turn on 9 quality metrics and checks each Topic routes correctly.

9 Quality Metrics

Score hallucination, bias, completeness, context awareness, and response quality on every Service or Sales agent reply across a multi-turn case.

Topic Selection Coverage

Probe requests that straddle Order Management, Returns, and Billing to catch the Atlas Reasoning Engine routing to the wrong Topic or hitting a dead end.

Go-Live Assessment

Get a Green, Yellow, or Red production-readiness verdict before activating a new agent version in your Salesforce org.

Complete Agentforce Testing Coverage

Confidence by Evaluation Volume

HIGH (100+ evaluations), MEDIUM (50-99), LOW (20-49), VERY LOW (below 20). Confidence scales with how many scenarios you run.

9 Quality Metrics on Every Topic and Turn

Hallucination, bias, completeness, context awareness, response quality, flow, user satisfaction, file handling, and file accuracy on each Agentforce reply.

4-Dimension Go-Live Assessment

Each run scores Functional Completeness, Quality Standards, Risk Profile, and Operational Readiness, each weighted at 25%, before you activate.

Pass, Fail, and Partial Analysis

Pinpoint every wrong Topic, broken Action call, and ungrounded answer, tracked as Pass, Fail, or Partial against your defined criteria.

Built for Every Layer of Agentforce QA

Project and Environment Management

Create test projects, manage sandbox and production orgs, and scope variables with bulk creation.

Test Profiles and Personas

Inject reusable test data and run scenarios across a pre-built or custom persona library, from frustrated callers to upsell-ready leads.

Custom Validation Criteria

Define evidence-based pass/fail rules per scenario, like the correct Action firing, with High/Medium/Low confidence tracking.

Security and Infrastructure

Execute via HyperExecute with optional secure tunnels for firewall-restricted Salesforce org endpoints.

Scheduling Engine

Automate runs with preset frequencies or full custom cron expressions with IANA timezone support.

Observability and Reporting

Monitor agent performance across runs with unified dashboards, exportable reports, and real-time quality trends.

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Success Stories of TestMu AI (Formerly LambdaTest)

50%

reduction in test execution time

“HyperExecute is a highly reliable test execution platform and has excellent customer support.”

Sagar Uday Kumar

Sr. Engineering Manager

Some Love from our Customers

As Best Egg expanded its product offerings and entered new markets, we knew our old testing infrastructure couldn’t keep up.
With support from Tenny Agustin, our Engineering Operations Lead, we modernized our approach with

TestMu AI

Best Egg

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Excited to Share My Learning Journey with Kane AI & Lambda Tool!
I'm pleased to announce that I've recently gained hands-on experience exploring Kane AI through the Lambda Tool and it’s been a fantastic journey of upskilling!

KaneAI

Suryateja Goud

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See how is #Futureready to enable blazing-fast test orchestration seamlessly integrated with organizations' existing CI/CD platforms, using #Microsoft Azure.

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Microsoft India

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