Pipeline fragmented across a dozen systems
CRM, Outlook email, OneDrive, shared spreadsheets. The same founder lives in 4 different records. Figuring out 'where are we with X' takes 20 minutes of context-switching.
Finance Ops · Venture Capital
The agent monitors emails, archives with metadata, deduplicates deals, multi-criteria scoring, auto-generated monthly report. Compliant, zero operations overhead. Live in 4 weeks.
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Already chosen by Italian funds
LIFTT · Deep tech Venture Capital holding · active client
Are you a non-VC finance team (accountants, CFO, M&A operations)? Go to the Finance Ops page
The problem
A dozen systems, a thousand email threads, countless files on OneDrive. The senior team spends more time hunting for data than doing deals.
CRM, Outlook email, OneDrive, shared spreadsheets. The same founder lives in 4 different records. Figuring out 'where are we with X' takes 20 minutes of context-switching.
When you need to reconstruct the history of a deal, the key conversations are buried in some Outlook thread nobody can find. Compliance issue.
Every start of the month, hours of qualified work to produce pipeline numbers, conversion rates, activity summaries. By the time the report is ready, it's already stale.
The solution
Monitoring, archiving, deduplication, scoring, reporting, portfolio tracking. End-to-end digital workers. The team steps in only for decisions that require judgement.
The agent reads the deal team's mailboxes and automatically recognises what is deal-related versus spam, newsletters, and internal communications.
Eml + pitch deck + term sheet archived on OneDrive/SharePoint with structured metadata (deal name, founder, date, attachment type). Ready for due diligence.
The agent recognises that "Mario Rossi - Startup A" and "M. Rossi (CEO StartupA)" are the same record. It proposes the merge; a human approves with one click.
For every new deal in the pipeline, the agent cross-references Crunchbase, PitchBook, and founders' LinkedIn profiles, and produces a justified score for the deal team.
Auto-updated charts at the start of each month: pipeline by stage, conversion rate, activity by deal team member, alerts on stagnant deals. No more manual Excel exports.
For portfolio companies, the agent tracks KPIs reported by founders, alerts on deviations, and sets calendar reminders for periodic check-ins. Nothing slips through the cracks.
Our guarantee
Baseline measured during the assessment (hours/person/week on monitoring + deduplication + reporting). If the agent does not recover the promised hours, we work for free until it does — or we refund the sprint.
Case study
Comparison
The three real options for a VC fund or family office today.
| ChatGPT / Copilot | Affinity / Attio AI | Soraia AI agents | |
|---|---|---|---|
| Cost | Low | High annual | Medium one-off |
| Time to go live | Immediate | 3–6 months | 4 weeks |
| Executes tasks autonomously | No | Limited | Yes, end-to-end |
| Custom to your deal flow | No | Configurable | Built for you |
| Vendor dependency | None | Total | None (your code) |
| Email archive compliance | No | Partial | Yes, audit-ready |
Questions
Next step
Assessment €2,000, refunded if you proceed. 1–2 weeks from kick-off to report.