Weekly CRM refresh
Every account and contact owned by the sales team re-enriched and re-verified each week, the field diff staged in HubSpot, approved in a minute by RevOps, summary in Slack.
Every company and contact in HubSpot, Pipedrive, Attio or Zoho CRM enriched, verified, deduplicated and kept current by autonomous AI agents, with each change staged as an approval batch that shows old value, new value and source before anything is written. The infrastructure under the CRM.
HubSpot, Pipedrive, Attio and Zoho CRM read as the source of record and written to as approval batches.
Firmographics, technographics, funding, signals, titles, emails and phones refreshed through a waterfall of licensed sources.
Old value, new value and source on every field that would change, reviewed once, applied as one upsert.
Nothing is written without approval, opted-out contacts are never touched and previous values stay in the run history.
Headcount, industry and stack were filled the day the record was created, if at all. Routing rules, scoring and territory assignments run on fields that stopped being true a year ago.
The webinar list, the conference export and the rep’s spreadsheet each created their own version of the same person. Reports count them all, sequences hit the same inbox twice and nobody owns the merge.
The last sync overwrote a rep’s hand-corrected phone with a stale one from a vendor. Since then the enrichment tool is switched off and the CRM decays quietly.
Companies and contacts in any segment enriched field by field through licensed sources, each value with its source and date, disagreements between sources reconciled before the diff is built.
Duplicates merged on email, name and canonical domain with the best field kept; emails and phones verified; role accounts, leavers and suppressed domains labeled, on a schedule.
Lists from discovery, prospecting or intent watches pushed into the CRM as companies, contacts and opportunities, deduplicated against what is already there and attached to existing records where they exist.
Every write staged as one batch showing each field’s old value, new value and source; approve once and one upsert runs, with the previous values kept in the run history.
Authorize HubSpot, Pipedrive, Attio or Zoho CRM. Choose the objects, the segments and the fields the agents may propose changes to.
The segment is read as the source of record: current values, owners, stages, opt-outs and the last-modified dates that decide what may be refreshed.
Company and contact fields refreshed through the waterfall, emails and phones verified, leavers flagged with the signal.
Duplicate groups built on email, name and domain, a merge proposed per group with the best field from each record kept.
Every proposed change laid out field by field with old value, new value and source; hand-edited fields protected by the rules you set.
One approval, one upsert. A summary posts to Slack and the run repeats on the schedule you choose.
Every account and contact owned by the sales team re-enriched and re-verified each week, the field diff staged in HubSpot, approved in a minute by RevOps, summary in Slack.
The whole contact object grouped by email, name and domain, merges proposed with the best fields kept, the batch approved with a before-and-after per group.
Records moving from one CRM to another enriched, verified and deduplicated in between, so the new system starts clean instead of inheriting the old one’s decay.
The weekly prospecting or intent batch pushed into Pipedrive as companies and contacts, attached to existing records where they exist, opportunities created only where none is open.
| By hand | With AstroFabric | |
|---|---|---|
| Freshness | As of the import date | Refreshed weekly through a waterfall, dated per field |
| Duplicates | One per import | Merged with the best fields, diff shown |
| Writes | Vendor overwrites, hand edits lost | Approval batch, protected fields, history kept |
| Contacts | Bounces reveal who left | Verified on a schedule, leavers flagged with the signal |
| New records | CSV import and a mapping screen | Pushed from lists, deduplicated, attached to existing |
| Visibility | Nobody knows what the sync did | A summary in Slack and a run transcript |
A segment re-enriched and re-verified weekly, the field-level diff staged in HubSpot with sources, approved once, summarized in Slack.
Duplicate groups built on email, name and domain across the whole CRM, merges proposed with the best fields kept, batch approved in Attio.
The weekly signal-qualified list pushed as companies, contacts and deals, deduplicated against existing records, attached where they exist.
Three of a hundred. The full playbook library ships in every workspace, and anything you can describe becomes a mission.
Reading, enriching, verifying and deduplicating run inside the credit ceiling with no gate. Any change to the CRM is staged with a field-level diff for a person to approve.
Fields you mark as hand-maintained are never proposed for change, opted-out contacts are never touched, and previous values stay in the run history.
The connection reads and writes only the objects and fields you allow, and every action is logged in the workspace audit trail with who approved it.
Enrichment and verification data come from licensed providers. The agents never scrape member networks.
The layer that keeps your CRM complete and current: companies and contacts enriched through a waterfall of licensed sources, emails and phones verified, duplicates merged, new accounts pushed in without duplicates, and every change staged as an approval batch with a field-level diff. Autonomous agents run it on a schedule.
HubSpot, Pipedrive, Attio and Zoho CRM, each connected with scoped access to the objects and fields you choose. The connection is two-way: records are read as the source of record and written to only through approved batches. Google Sheets can stand in as a source of record for teams between systems.
No. Mark any field as protected and it is never proposed for change. For every other field the batch shows the old value, the new value and its source, and the previous value stays in the run history after approval.
Contacts and companies are grouped on normalized email, name and canonical domain. Each group gets a proposed merge that keeps the best field from every record, most recent wins on conflicts, and the batch shows a before-and-after per group before a person approves it.
Yes. Any list from discovery, prospecting, intent watches or a CSV can be pushed as companies, contacts and opportunities. The push deduplicates against the CRM first, attaches to existing records where they exist and creates opportunities only where none is open.
On any schedule: weekly refresh for active segments, monthly for the long tail, daily for new-record pushes. Each run produces one batch and one approval, with a summary in Slack. Runs can also be triggered from the API, MCP server or CLI.
Enrichment is a few credits per company row, a verified contact is a few credits, and reads, deduplication, diffs and writes are free. Unchanged rows are skipped, rates show before each run, misses on contact finding cost nothing, and plans start at $49 per month.
Connect HubSpot, Pipedrive, Attio or Zoho CRM. The first diff is ready in minutes, and the refresh runs itself from then on.