Agentforce Grounding Testing
Agentforce grounding testing confirms that an AI agent's answers are anchored in approved enterprise data rather than invented, so a Salesforce agent quotes real records, current knowledge and permitted retrieval sources instead of a plausible-sounding guess. It is how teams catch hallucination and stale data before customers do.
An active-roadmap capability, available today for demonstration and proof-of-concept validation with Salesforce testing teams.
What grounding is, and why it has to be tested
Grounding is the connection between what an agent says and the source data that backs it. A grounded Agentforce response can be traced to a specific Salesforce record, a knowledge article, a retrieval index or a Data Cloud source. An ungrounded response may be fluent and confident yet unsupported by anything in your org, and that is the failure mode grounding testing exists to catch.
Ungrounded answers rarely look wrong. The agent returns a delivery date, a policy clause or an account balance in the same tone whether the value came from a live record or was fabricated to fill a gap. Because natural language hides the seam, grounding cannot be judged by reading the reply alone. It has to be tested against a known source of truth, where the correct answer is established in advance and the agent's response is compared to it.
Three distinct problems sit under the single word "grounding," and a serious test plan separates them:
Fabrication
The agent asserts a fact that has no supporting record or article anywhere in the connected sources.
Staleness
The answer traces to a real source, but that source is outdated and no longer reflects the current record or article version.
Misattribution
The value is real but pulled from the wrong record, wrong customer or wrong article, so it is accurate data in the wrong context.
Grounding testing is a distinct layer from confirming the agent picked the right topic or ran the right action. For those, see Agentforce topic testing and action testing. This page owns the question of whether the words in the response are backed by real, current, correctly attributed data.
How SyntraFlow approaches grounding validation
SyntraFlow is designed to make grounding measurable by controlling the data an agent sees and comparing every answer to a known source of truth. It complements Salesforce-native tooling rather than replacing it.
Provision known-answer data
SyntraFlow can be configured to seed records, knowledge articles and retrieval sources whose correct answers are defined in advance, so each grounding question has an unambiguous expected value to test against.
Ask verifiable questions
Test prompts are written so the answer must come from the provisioned data, including questions the sources cannot answer, to check that the agent declines rather than invents.
Compare response to source
Each reply is evaluated against the expected value using meaning-based comparison rather than exact string match, so a correctly grounded answer passes even when phrased differently.
Track an unsupported-claim rate
Results roll up into a measurable rate of unsupported or fabricated claims across a suite, turning grounding from a subjective impression into a trend you can watch across releases and model changes.
Re-run on every change
Grounding suites are designed to run as repeatable regression whenever data sources, prompts, retrieval configuration or the underlying model change, so a drop in grounding quality is caught early.
Salesforce provides native evaluation through Agentforce Testing Center, a Testing API and Agentforce DX tooling for defining and running agent tests. SyntraFlow is designed to complement these by adding provisioned known-answer datasets, cross-application source checks and durable audit evidence around the grounding results they produce.
Grounding failure modes and how they are tested
Each grounding risk needs a specific test design. The table maps the failure mode to the signal that exposes it.
| Failure mode | What goes wrong | How the test exposes it |
|---|---|---|
| Fabricated fact | A confident answer with no backing source. | Ask a question the sources cannot answer; a grounded agent declines or asks to clarify instead of inventing. |
| Stale value | Answer reflects an old record or superseded article. | Update the provisioned source, re-ask, and confirm the reply moves to the new value. |
| Wrong record | Real data returned for the wrong customer or context. | Seed near-identical records and confirm the agent resolves to the correct one by identifier. |
| Partial grounding | Part of the answer is sourced, part is filled in. | Use multi-fact questions and check every asserted fact traces to a source, not just the first. |
| Overclaiming | Agent adds guarantees or specifics the source never states. | Compare the reply against the source text and flag any assertion beyond what the source supports. |
| Access-masked gap | Agent fills a gap created by data the user cannot see. | Run as a restricted user and confirm the agent withholds rather than fabricates. See security testing. |
Grounding often reaches beyond Salesforce
Many agent answers depend on data that lives in another system. When an agent quotes an order status, an invoice total or an inventory figure, the true source of truth may be Oracle, SAP, NetSuite or Workday, reached through MuleSoft or a direct integration. A grounding test that only checks the Salesforce copy can pass while the answer is stale against the system of record.
SyntraFlow is designed to validate grounding against the originating system, not just the Salesforce surface, pairing Agentforce testing with Oracle ERP testing so an answer is confirmed correct at its true source across application boundaries.
What disciplined grounding testing gives you
Qualitative outcomes teams can expect when grounding is tested as a first-class layer.
Fewer confident errors
Fabricated and stale answers are caught in testing rather than surfacing to customers as authoritative fact.
A trend you can watch
An unsupported-claim rate turns grounding quality into a metric that can be tracked across releases and models.
Trust to expand scope
Evidence that answers are grounded gives teams the confidence to widen what an agent is allowed to handle.
Retrieval tuning feedback
Failures point to whether the issue is missing data, weak retrieval or model behaviour, guiding the fix.
Audit-ready evidence
Every grounding test and result can be recorded, so answers to regulated questions have a traceable basis.
Safer releases
Grounding regression runs alongside your Agentforce regression testing so a change never silently degrades accuracy.
Agentforce grounding testing FAQs
What is Agentforce grounding testing?
It is the practice of confirming that a Salesforce AI agent's responses are backed by approved enterprise data rather than invented. The agent is asked questions with known answers, and each reply is compared against the source of truth to detect fabrication, stale data or misattribution.
How is grounding different from checking response quality?
Response quality asks whether an answer is clear, complete and appropriate. Grounding asks a narrower question: is every fact in the answer supported by a real, current, correctly attributed source. An answer can read well and still be ungrounded, which is why grounding is tested as its own layer.
How do you detect hallucination in an Agentforce agent?
Provision data whose correct answers are defined in advance, then ask questions the sources both can and cannot answer. A grounded agent returns the sourced value for answerable questions and declines or clarifies for unanswerable ones. Tracking an unsupported-claim rate across the suite surfaces hallucination as a measurable trend.
Can grounding be tested automatically?
Yes. Using native interfaces such as the Agentforce Testing API, grounding cases can be scripted and run in batches. SyntraFlow is designed to orchestrate these into versioned regression suites with provisioned known-answer datasets so grounding is re-checked on every relevant change.
Does SyntraFlow replace Agentforce Testing Center?
No. Agentforce Testing Center, the Testing API and Agentforce DX are Salesforce-native tooling for defining and running agent tests. SyntraFlow is designed to complement them by adding controlled known-answer data, cross-application source validation and durable audit evidence around the grounding results they produce.
What if the grounding source lives in an ERP, not Salesforce?
Then the answer must be validated against that system of record. SyntraFlow is designed to check grounding at the originating source in Oracle, SAP, NetSuite or Workday, so an agent answer is confirmed correct where the data actually lives rather than only against a Salesforce copy.
See grounding validation on your own data
Bring a real agent and we will show how SyntraFlow is designed to provision known-answer data, measure an unsupported-claim rate and prove your Agentforce responses are grounded.