Finance connectors for AI workflows
Finance AI gets useful when it sees the right sources. It gets dangerous when access is broad, stale or not understood.
Published18 Jun 2026
Updated
Read time1 min · 136 words
Tool focusMicrosoft 365, Gemini
Finance workflows often need more than a spreadsheet: SharePoint folders, Outlook messages, ERP notes, Drive files and policy documents. Access should be designed before the pilot, not discovered after the output looks useful.
Practical SME workflow
Use connector planning for a customer collections AI workflow. Define which ERP notes, Outlook threads and policy documents are approved. Exclude personal, HR, legal and unrelated customer material.
Risk and control
Broad access can leak context into the answer. Start with named source folders, named reviewers and a source list in the output. If the model cannot show where a claim came from, the claim stays draft.
Source basis
Related notes
18 Jun 2026 · 1 min
Customer collections AI outlook
Collections AI should prepare context and draft wording. It should not make settlement decisions, legal claims or customer promises.
18 Jun 2026 · 1 min
30-day finance AI pilot
A finance AI pilot should be narrow enough to review properly: one workflow, one source pack, one owner and a clear keep/change/kill decision.
18 Jun 2026 · 1 min
Admin controls for finance AI
Admin controls decide whether finance AI is a workflow or a data leak: access, retention, source folders, reviewers and escalation.