Testing Salesforce Agentforce Agents
An Agentforce agent that works fine in a demo can still hallucinate a policy, break a multi-turn conversation, or contradict itself in production. Salesforce's own Testing Center evaluates agents from inside the platform. ContextQA tests them from the outside, the same way a real customer would encounter them.
Black-box, by design
Internal testing tools validate that an agent behaves correctly according to its configuration. They do not validate what an actual customer experiences when a conversation goes somewhere unexpected. Most AI testing tools are either observability platforms watching production traffic or SDK-first libraries requiring code-level access. ContextQA is neither — pre-launch, black-box, and built for agents you don't control the source code of. See how ContextQA tests AI agents →
1. Define
Point ContextQA at your agent's documentation, system prompt, policy files, or conversation logs.
2. Probe
ContextQA generates adversarial and functional scenarios and runs them against your live agent, no SDK or code access required.
3. Score
Every response is scored with configurable AI judgment plus deterministic checks — a confidence rating backed by evidence, not a guess.
“Ask about a policy exception the agent was never trained on.”
Running against the live Agentforce agent
Plausible but incorrect answer — caught before a customer saw it
What this catches before customers do
Catch a hallucinated policy
“Can this catch hallucinated policies?”
Yes — one of the primary scenarios this integration is built to catch, before a real customer does.
Hallucination-trap scenariosMulti-turn consistency
"Does it handle multi-turn conversations?"
Yes. ContextQA simulates full multi-turn chains of 20 or more turns with branching logic and escalation flows.
Multi-turn evaluationModel-upgrade regression
"What happens when I upgrade the underlying model?"
Every model upgrade triggers a full regression run, surfacing behavioral drift before you deploy.
Regression runsNo SDK, no code access
"How are test scenarios generated?"
Point ContextQA at your agent's docs, prompts, or policies. It models the behavior and generates scenarios automatically.
Black-box by designNo SDK, no code access
- Your agent's docs, system prompt, or policy files
- No dev-org or source access needed
- About 30 minutes for the first scenario set
- Share your agent's documentation, prompts, or policies
- ContextQA generates adversarial and functional scenarios automatically
- Scenarios run against your live agent, scored with a confidence rating
On-premises deployment is available for strict security or data-residency requirements. Contact sales for details.
"No SDK, no instrumentation, no code access required."
— ContextQA's black-box testing model
Tested before it reaches a customer
Works with Salesforce Agentforce, Amazon Bedrock, Azure AI Foundry, Snowflake Cortex, Intercom Fin, and custom-built agents.
Common questions
Yes, testing happens from the outside, the way a customer interacts with the agent.
No, it complements it. Testing Center validates internal configuration, ContextQA validates real world customer experience.
Yes, this is one of the primary scenarios ContextQA is built to catch.
Any agent platform, including Salesforce Agentforce, Amazon Bedrock, Azure AI Foundry, Snowflake Cortex, Intercom Fin, and custom-built agents. Because ContextQA tests from the outside, there is nothing to instrument on the platform side.
Yes. ContextQA can be deployed entirely within your own infrastructure, ideal for organizations with strict security, compliance, or data-residency requirements. Contact sales for details.
See a real scenario catch a real failure
Book a 20-minute demo and watch ContextQA probe a live agent.
Book a Demo Testing a different agent platform? See how ContextQA tests AI agents →