Fin three-mode QA before AI agent go-live
Use Preview, Batch tests, and Simulations together before an AI support workflow goes live so you catch both local mistakes and system-level failures.
Why this can grow a startup
AI support flows usually fail in two places: the answer quality and the workflow around the answer. Intercom's testing stack is useful because each mode catches a different class of mistake. Preview is fast for spot checks while building. Batch tests are broad enough to expose coverage gaps across many questions. Simulations check whether a Procedure actually survives end-to-end logic before customers touch it. Running only one mode leaves blind spots that show up later as confused handoffs, wrong escalations, and support debt.
Source-backed example
Intercom's March 16, 2026 help guidance says teams should use all three tools in combination before go-live: Preview for quick manual checks, Simulations for end-to-end Procedure validation, and Batch tests to confirm answers across real customer questions.
Source-reported evidence
Source: Intercom Help: Simulations vs. Batch tests vs. Previews
Batch tests support up to 50 questions per test group, while Simulations have a monthly workspace limit of 50 to 2,500 runs depending on conversation volume.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
Source discovered: May 30, 2026
When to use it
Use this when AI Support, Support, Product is relevant to qa, ai agent, support automation and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to AI Support and Support, using evidence from Intercom Help: Simulations vs. Batch tests vs. Previews as context—not as a promised result.
- Record a baseline for: Users who resolve the issue and complete the next useful action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
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