CRM Drift Monitoring: Keep Fund Sizes, Criteria, and Contacts Current
People change roles, funds close, criteria shift — and none of it types itself into the CRM. Arvya's research agents monitor drift against live sources and stage cited corrections for approval, on DealCloud, Salesforce, and your existing stack.
CRM drift is the gap that opens between your CRM and reality as the outside world changes: sponsors close new funds, contacts change firms, investment criteria and check sizes shift, portfolios turn over. Arvya monitors that drift continuously — reconciling CRM fields against firm websites, SEC sources, live web research, and market-data providers the firm already licenses — and stages field-level corrections showing the old value, new value, source, and date, for human approval before anything is written. At one live deployment, 58% of sponsor records were stale by more than a year before drift monitoring; the pre-call ritual of manually re-checking LinkedIn and PitchBook existed because the CRM couldn't be trusted.
Who this is for
Sponsor-coverage and BD teams whose buyer outreach depends on current fund sizes, EBITDA ranges, and check sizes.
Firms paying for market data (PitchBook, Capital IQ, Grata) that never reaches the CRM without a separate, expensive sync product.
Deal teams burned by outdated criteria: pitching a buyer whose mandate changed, or missing one whose new fund finally fits.
The problem
- External facts decay on their own schedule: roles, funds, criteria, and portfolios change whether or not anyone opens the CRM.
- CRM vendors monetize the fix as paid data-feed connectors and premium add-ons — often five figures a year on top of the data subscription you already pay.
- So the real workflow becomes: distrust the CRM, re-check LinkedIn, PitchBook, and the firm's website before every call — the same lookup, repeated by every banker, forever.
What Arvya does
- Runs research agents between meetings that compare CRM fields against firm websites, SEC sources, live web research, and the market data your firm already licenses — connected with your own credentials, not resold.
- Surfaces drift as cited proposed updates: people moves, fund closes, fund sizes, EBITDA and check-size criteria, portfolio changes — each with old value, new value, source, and date.
- Shows conflicting sources side by side rather than silently picking one; each field type has a source policy, so a fund size is sourced differently from a job title.
How it works
Scan the CRM against live sources to produce a drift baseline: which fields are stale, how stale, and what the evidence says instead.
Route corrections through the approval queue — bulk-approve the obvious, inspect the conflicts — with a readback receipt on every write.
Keep watching: drift monitoring is continuous, so the day a sponsor announces a new fund, the correction is in the queue with the announcement cited.
Works with
Frequently asked questions
How do deal teams keep fund sizes and investment criteria current in the CRM?
Mostly they don't — they keep them current in their heads, re-checking LinkedIn, PitchBook, and firm websites before each call because the CRM lags reality. The structural fix is drift monitoring: agents that continuously reconcile CRM fields against live sources and stage cited corrections for approval, so the lookup happens once, lands in the record, and serves the whole firm.
Can Arvya keep PitchBook data in sync with our CRM?
Arvya connects to market-data providers the firm already licenses — including PitchBook, using the customer's own credentials, configured per deployment — and uses them as one input alongside firm websites, SEC sources, and web research. The difference from a vendor sync product: every proposed field change shows its source and waits for approval, it works on DealCloud and Salesforce rather than one vendor's CRM, and you aren't buying your own data back as a premium connector.
What kinds of CRM drift does Arvya catch?
People moves (a contact changes firms or titles), fund events (new fund closed, fund size changed), mandate changes (EBITDA range, check size, sector criteria), portfolio changes (new platform acquired, company exited), and stale coverage (a record nobody has touched in a year that live sources contradict). Each surfaces as a cited proposed update, never a silent write.
How is this different from buying my CRM vendor's data-enrichment add-on?
Vendor enrichment pipes a single licensed dataset into that vendor's CRM for an added fee, and it trusts that dataset wholesale. Arvya reconciles multiple sources — your own email and meetings, public filings, firm websites, plus the data you already license — shows disagreements instead of overwriting, requires approval, and runs on whichever system of record you own.
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