ROLE BRIEF // DATA & RESEARCH
AI research agents: continuous instead of quarterly
TYPICAL COVERAGE — 95% OF DATA VOLUME
Most companies don't have a data problem — they have a staleness problem. The market scan from Q1, the CRM enriched once at import, the competitor tracker nobody's updated since the intern left. A data fleet does this work continuously: watching, enriching, deduplicating, and drafting — so decisions run on this morning's picture, not last quarter's.
What the fleet takes over
- Enrichment — firmographics, contacts, tech stacks, and signals appended to every record, with provenance attached
- Deduplication & hygiene — merges, normalization, and stale-record detection across CRM and warehouse
- Market monitoring — competitor pricing, product launches, hiring signals, and filings watched daily
- Competitive intel — changes synthesized into briefs with sources cited, not link dumps
- Report drafting — recurring reports assembled from live data and drafted for human review, every number traceable
How it's built
Collector agents work sources in parallel, a verification agent independently confirms material claims before anything enters your systems, and a synthesis agent drafts the outputs humans review. It's the same verify-before-ship architecture as our published reference teardown — applied to information instead of tickets.
Verification is the product
Fast wrong data is worse than slow data. Every record carries provenance (what, where, when), material claims are cross-checked against independent sources, and confidence thresholds route uncertainty to human review instead of silent guessing. Licensed sources are accessed through your subscriptions; your data never trains models. Security posture here.
How do you keep AI-gathered data accurate?
Every material claim is verified by a second agent against an independent source before it enters your systems, and records carry provenance. Confidence thresholds route uncertain findings to human review instead of silently guessing.
What sources can agents monitor?
Public web sources, news, filings, competitor sites, pricing pages, review platforms, and your licensed data providers — continuously rather than quarterly. Paywalled sources are accessed through your own subscriptions and credentials.
Can the fleet clean up our existing CRM data?
Yes — dedup, normalization, stale-record detection, and enrichment backfill are usually the pilot's first deliverable. Merges above a confidence threshold execute automatically; ambiguous ones queue for review.
Start with the free automation audit. We map your data sources, systems, and the questions you need answered continuously, then hand you a scoped blueprint — yours to keep either way. Request the audit or try the live agent demo first.
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