Built for Agentforce
Your Agentforce is only as good as your Salesforce data.
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
Bad data breaks AI. Most teams find out too late.
Three data problems create three distinct Agentforce failures. None of them show up in a demo — they show up in front of your customers.
When Agentforce retrieves a Case with an empty Description, it has nothing to work with — so it generates a generic, unhelpful reply.
When Country holds “US”, “USA”, “United States” and “U.S.A.”, the agent treats them as four values — and answers differently depending on which record it reads.
When an agent reads a Case comment containing an SSN, that PII enters the AI context — and can surface in a response. That’s exposure you can’t take back.
Six metrics that decide if your data is AI-ready
AgentforceSense scores every object Agentforce will touch — then tells you exactly what to fix first. No spreadsheets, no guesswork, no export.
Completeness
Completeness RateAre the fields your agents read actually populated? Empty Descriptions and Notes are where agents go vague.
Consistency
Conformance RateDo values match expected formats? Standardise picklists and references so the agent sees one truth, not four.
Validity
Validity RateDo structured fields pass their format rules? Catch malformed emails, phones, and IDs before the agent quotes them.
Timeliness
Timeliness RateIs the record current? Stale data produces outdated answers that sound confident and are wrong.
Uniqueness
Duplicate RateHow many duplicates is the agent juggling? Duplicates confuse retrieval and split the customer’s history.
PII Detection
PII Exposure RateWhere is sensitive data hiding in free-text fields? Find SSNs, cards, and more before they reach the AI context.
Plus an 8-pattern PII detector (SSN, credit card, IBAN, email, phone, IP, date of birth) and a contextual Mentor Panel that recommends what to remediate based on what each scan just found.
A proven path to Agentforce data readiness
Four phases, one tool. The same framework Salesforce teams use to get their data agent-ready — and keep it that way.
Assess
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.
Remediate
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.
Validate
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.
Monitor
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.
The data never leaves Salesforce
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.
100% Salesforce-native
Runs on Batch Apex inside your org. Your data never leaves the platform — no connector, no warehouse, no export to review with security.
No code
A five-step Definition Builder wizard lets admins configure scans without a developer. Pick objects and fields, set thresholds, activate.
Built for the AI era
Purpose-built around the failures that break Agentforce — not a generic dedupe tool retrofitted with an “AI” label.
Continuous, not one-time
Schedule recurring scans and track trends. Readiness is a loop, because every new record is a new chance to drift.
Don’t let your data embarrass your AI
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.