Everything was working.
Your team finally trusts the AI system. People use it every day. The demos are over. The workflows are embedded.
Then one ordinary Tuesday begins.
Step 1 · choose the system
327
Diligence requests completed
92%
Internal satisfaction
18 hrs/wk
Analyst time saved
The system
AI Diligence Associate
Used by a venture capital firm to help the investment team research companies before partner meetings. It has run successfully for three months.
- →Search company data rooms
- →Read founder meeting notes
- →Retrieve past investment memos
- →Search market research
- →Compare companies against the fund's thesis
- →Generate diligence questions
- →Prepare a partner meeting brief
The AI does not make the final investment decision.
Architecture · healthy
meeting transcripts
Google Drive
internal archive
external scraper
relationship sync
parse · chunk · index
hybrid index
reasoning + synthesis
delivered output
Scenario library
AI Diligence Associate
LiveVenture capital firm
Data room · founder notes · memos · market data · CRM
- · permission drift
- · source format change
- · model update
- · prompt edit
- · stale CRM
AI Chief of Staff
LiveExecutive office
Calendar · inbox · board drive · contacts · standing preferences
- · revoked permissions
- · scheduling feed change
- · commitment drift
- · ambiguous recipient
- · stale contacts
Customer Support Agent
PlannedSupport organization
Knowledge base · CRM · tickets
- · pricing policy changes
- · stale documentation
- · model becomes more verbose
- · escalation classifier degrades
- · incorrect refund policy
Finance Agent
PlannedController workflow
Invoices · ERP · expense policy · payments
- · vendor account changes
- · duplicate invoice
- · stale policy
- · incorrect categorization
- · approval workflow fails