“Archiving, deduplication, and reports handled by AI. We're back to doing deals.”
Company size
11-50
Industry
Venture Capital · Tech transfer
The company
an AI Agent that manages deal flow autonomously
Deal pipeline fragmented across CRM, email, and local files. Manual deduplication, hand-built monthly reports, non-compliant email archiving.
The context
LIFTT is a Venture Capital holding company focused on deep tech, with an operational, multi-vertical approach geared toward creating impact.
LIFTT’s edge lies in the quality of its deal pipeline: seeing the right deals first, deciding fast, and maintaining consistent relationships with founders.
The real problem
Deal flow had outgrown the processes managing it. The team was living across:
- CRM as the central system, riddled with duplicate records from multiple ingestion sources
- Outlook email as the primary channel with founders and deal teams, but with no structured archiving
- OneDrive files for pitch decks, attachments, and term sheets — with no automatic link to CRM records
- A monthly report compiled by hand at the start of each month (hours of human work)
The fallout: time-consuming manual deduplication (has this person been contacted? Have they not?), emails that couldn’t be found when due diligence required them (compliance issue), and a monthly report that everyone dreaded.
What the AI agent did
Soraia built an AI agent that autonomously runs the backbone of the deal flow:
- Monitors incoming emails across deal team mailboxes
- Identifies deal-related contexts (vs. spam, newsletters, internal communications)
- Automatically archives eml files and attachments to OneDrive with structured metadata (deal name, founder, date, attachment type)
- Merges duplicate deals in the CRM: recognises that “Mario Rossi - Startup A” and “M. Rossi (CEO StartupA)” are the same record, and proposes the merge to the team
- Generates the monthly report with auto-updated charts: deal pipeline, conversion rate by stage, activity by deal team, alerts on stagnant deals
- Sends alerts on deals that need attention (no contact in X days, term sheet pending, etc.)
The human team only steps in for decisions that require judgment: approving a merge, deciding whether to advance a deal to the next stage, writing a personal message to a founder.
The results
100% of emails archived with attachments and metadata on OneDrive, ready for any due diligence.
Zero hours of manual deduplication: the agent detects and merges duplicates; humans approve the merge in one click.
Monthly report auto-generated at the start of each month, complete with charts and operational recommendations.
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Got a similar challenge?
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Daniel Levis
Co-Founder & CEO