The AI source-of-truth map
Connected AI is only as useful as the system boundaries around it. Map the source of truth before an assistant summarizes, drafts, or updates shared work.
The current AI-at-work pattern is connected workflows. OpenAI’s workspace-agent guidance frames agents as support for repeatable work across shared systems, handoffs, and real-world constraints. OpenAI’s agentic workflow examples show AI moving through lookup, analysis, and action steps. Anthropic’s Claude for Small Business launch also highlights connectors and ready-to-run workflows that bring company context into daily work.
That makes one question more important: which system is the source of truth?
The skill
An AI source-of-truth map tells the assistant where facts live, where drafts belong, and where updates require human approval. It prevents a connected AI workflow from mixing email guesses, chat comments, stale spreadsheets, and official records into one confident but messy answer.
AI source-of-truth map
Workflow:
{the repeated workflow}
Official source:
{system that owns the truth}
Context sources:
{systems AI may read for extra context}
Draft location:
{where AI should place proposed changes}
Update boundary:
{what AI may update, and what needs approval}
Conflict rule:
{what to do when sources disagree}
Review owner:
{person or role that approves changes}The four source types
Use four labels when mapping a connected workflow:
- Official source: The system people trust when there is a disagreement.
- Context source: Useful background, but not the final authority.
- Draft space: A safe place for AI to propose changes before they go live.
- Action system: The place where updates, messages, tickets, or records actually change work.
A worked example
Imagine a sales team asks AI to prepare renewal briefs and draft CRM updates.
Workflow:
Weekly renewal account review.
Official source:
CRM account record.
Context sources:
Recent email threads, call transcript, support tickets, contract PDF.
Draft location:
Private renewal brief document.
Update boundary:
AI may draft CRM notes.
AI may not change renewal stage, contract value, forecast, or next step without account-owner approval.
Conflict rule:
If email and CRM disagree, trust CRM for account status and flag the conflict.
If support tickets mention risk not in CRM, add it as "needs review."
Review owner:
Account owner approves before CRM update.The prompt
Use this before connecting AI to multiple apps:
Help me create an AI source-of-truth map for this workflow.
Workflow:
{describe the repeated work}
Systems involved:
{CRM, docs, email, chat, calendar, tickets, spreadsheets, project tools}
What AI should help with:
{summarize, draft, classify, update, create, notify, research}
Constraints:
{privacy, permissions, approval rules, systems AI must not update}
Create:
1. Official source
2. Context sources
3. Draft location
4. Update boundary
5. Conflict rule
6. Review owner
7. Three examples of safe AI actions
8. Three actions that require approvalWhere this helps
- CRM updates: Keep email context separate from official account status.
- Project plans: Let AI draft task changes without silently changing shared roadmaps.
- Customer support: Summarize tickets while keeping policy docs as the source of truth.
- Finance workflows: Use spreadsheets for analysis but keep accounting systems authoritative.
- Hiring workflows: Distinguish interview notes from official candidate status.
The rule
Connected AI should not decide which source wins by vibes. Give it the hierarchy before it starts. The more apps an assistant can read, the more explicit the source-of-truth map needs to be.