Incomplete records, inconsistent values, and exposed PII quietly break AI agents. AgentforceSense measures and fixes the data Agentforce relies on — continuously, and 100% inside Salesforce.
100% Salesforce-native • No data export • Install from AppExchange
Three data problems create three distinct Agentforce failures. None show up in a demo — they show up in front of your customers.
An empty Description gives the agent nothing to work with, so it falls back to a generic, unhelpful reply.
“US”, “USA”, “United States” and “U.S.A.” become four different facts — the answer depends on which record it reads.
An SSN buried in a Case comment enters the AI context — and can surface in a response you can’t take back.
AgentforceSense scores every object Agentforce will touch — then tells you exactly what to fix first. No spreadsheets, no export.
Are the fields your agents read actually populated?
Completeness RateDo values match one expected standard, not four?
Conformance RateDo structured fields pass their format rules?
Validity RateIs the record current, or quietly out of date?
Timeliness RateHow many duplicates is retrieval juggling?
Duplicate RateWhere is sensitive data hiding in free text?
PII Exposure RatePlus an 8-pattern PII detector (SSN, card, IBAN, email, phone, IP, DOB) and a contextual Mentor Panel that recommends what to remediate based on what each scan just found.
We are exploring these capabilities. Tell us which problem matters most to your team and help set the priorities. These are proposed features, not currently available product capabilities.
Assess the records, fields and relationships a specific agent needs. The proposed report would highlight missing order statuses, incomplete customer context and other data blockers, with launch criteria your team defines.
Discuss this featureFind exact and similar duplicates across leads, contacts, accounts and custom objects using configurable rules for email addresses, phone numbers and names. Group suspected duplicates and show matching fields for review before merging, so agents can work with a clearer customer history.
Discuss this featureFind outdated, conflicting or incomplete Knowledge articles before they become unreliable answers. Connect unanswered customer questions to content gaps and prioritize the sources that need review.
Discuss this featureFour phases, one tool. The same framework Salesforce teams use to get their data agent-ready — and keep it that way.
Run DQS scans across every object Agentforce will access. Get a baseline for completeness, conformance, validity, timeliness, duplicates, and PII exposure — in about 15 minutes.
Work the findings in priority order: PII first, then completeness, consistency, validity, and finally stale records and duplicates. The Mentor Panel tells you what matters most.
Rerun the scans and compare against your baseline. Target 85%+ completeness, 90%+ conformance, 90%+ validity, and under 1% PII exposure. Get compliance sign-off with evidence.
Data quality decays as users enter new records. Schedule recurring scans — PII weekly, completeness and consistency monthly, a full sweep quarterly — to catch regression early.
Most data quality tools want you to export your records to their cloud to analyse them. For the data feeding your AI agents, that’s exactly the wrong trade. AgentforceSense measures everything on-platform.
Runs on Batch Apex inside your org. Your data never leaves the platform — no connector, no warehouse, no export to review with security.
A five-step Definition Builder wizard lets admins configure scans without a developer. Pick objects and fields, set thresholds, activate.
Purpose-built around the failures that break Agentforce — not a generic dedupe tool retrofitted with an “AI” label.
Schedule recurring scans and track trends. Readiness is a loop, because every new record is a new chance to drift.
Get a 15-minute walkthrough of AgentforceSense on your own org. See your data readiness score and the top three things to fix before Agentforce goes live.
