One objective in, the whole go-to-market data job carried end to end: accounts identified, records enriched, contacts verified, signals watched, audiences pushed and outreach drafted, by autonomous AI agents under one orchestrator, one ledger and one approval policy.
A sentence describing the outcome; the orchestrator plans prospecting, enrichment, verification, audiences and outreach from it.
Company, person, enrichment, signal, list and audience tools behind one plan, one ledger and one approval policy.
CRM records, matched audiences and paused sequences from the same governed list, approved once.
Every agent meters against the same ceiling and writes to the same append-only log.
A company database, an enrichment tool, a verifier, an intent feed and an audience uploader, each with its own export, its own credits and its own definition of an account.
The list is built, then waits for enrichment, then waits for verification, then waits for someone to shape it into an audience. Each wait is a week.
Sales owns the list, marketing owns the audience, RevOps owns the CRM. The objective, pipeline from these accounts this quarter, belongs to everyone and therefore no one.
Hand the orchestrator an outcome, "pipeline from mid-market fintech hiring compliance leads", and it plans the prospecting, enrichment, verification, audience and outreach steps across the agents.
Each agent owns its part and hands the list forward with the evidence intact, so the audience marketing buys is the list sales is working.
CRM records, matched audiences, paused sequences, sheets and Slack digests, from one run, with approvals on every write.
Weekly refreshes on a thread that keeps context: this Monday’s run builds on what last Monday found and what you corrected.
One sentence: the accounts, the deliverables and the tools they should land in. The orchestrator writes the plan and states the cost before anything runs.
Companies matched on the signals and ICP in the objective, deduplicated against the CRM, customers and open deals held out.
Firmographics, stack and signals filled through the waterfall; the buying committee mapped and contacts verified.
Fit scores with reasons, segments by stack or signal, and one angle per segment agreed in the thread.
The CRM batch, the matched audiences and the paused sequences built from the same list, with the evidence carried through.
All writes park in one approval queue; the mission reruns on the cadence you set and remembers your corrections.
"Pipeline from mid-market fintechs hiring compliance leads: verified contacts in HubSpot, a LinkedIn audience and first touches drafted." The orchestrator plans, prices and delivers all three.
Every Monday the target list is re-qualified on fresh signals, new accounts enriched and verified, the audience refreshed and the sequence topped up, with a digest of what changed.
A new vertical described in a paragraph becomes an ICP variant, a lookalike list from any existing customers, a segment-specific angle and a matched audience, all before the launch meeting.
The target list scored and suppressed once, then written to the CRM, loaded into the sequence tool and pushed as audiences, so every team works the same definition of an account.
| By hand | With AstroFabric | |
|---|---|---|
| Tools | Five subscriptions, five exports | One platform, one list, one ledger |
| Handoffs | A week of waiting at each step | Planned and carried by agents in one run |
| Ownership | Everyone’s and therefore no one’s | One objective with one approval queue |
| Evidence | Lost at the first export | Carried on every row into every destination |
| Refresh | When someone has time | On a schedule, remembering last week |
| Cost | Reconciled across invoices | Stated before the run, settled on answers |
Accounts in motion, contacts verified, pushed to the CRM: the first leg of most GTM missions.
The same target list pushed to LinkedIn and Meta every Monday, suppression applied, match rates reported.
What moved at the accounts you care about, what was added, what was verified, in one Monday email.
Three of a hundred. The full playbook library ships in every workspace, and anything you can describe becomes a mission.
CRM writes, audience pushes and sequence loads all route through the same queue with the exact rows shown.
Every agent meters against the same credit ledger under one ceiling; a mission that reaches it parks with the work it finished.
Who did what, when, to which records, from which source: append-only across every agent and surface.
A sentence such as "build pipeline from mid-market fintechs hiring compliance leads: verified contacts in HubSpot, a LinkedIn audience, and first touches drafted". The orchestrator plans the steps, routes each to the right agent, states the cost, and delivers all three with the evidence attached.
No. The orchestrator routes each step to the specialist that owns it. You can also run any agent directly from the console, REST, the CLI or MCP when you want one job done: an enrichment run, a verification pass, an audience push.
It delivers into them: HubSpot, Pipedrive, Attio, Zoho and Apollo for records; Instantly, Lemlist and Gmail for sequences; LinkedIn, Meta and Reddit for audiences; Sheets, Drive, Notion and Slack for delivery. Nothing is replaced; the data work between the tools is what the agents carry.
It reads the objective, the workspace ICP, the connected tools and the credit ceiling, then writes an ordered plan of identification, enrichment, verification, scoring and delivery steps with an estimate. You see the plan and the cost in the thread before anything runs, and can edit either.
Yes. Any capability runs directly from the console, the REST API, the CLI or MCP when you want one thing done: an enrichment pass on a CSV, a verification run, an audience push. Standing missions and one-off tools share the same lists, ledger and approval policy.
Plans start at $65 per month with credits included. Each step meters at its own rate, identification and enrichment a few credits per row, verified contacts a few credits each, scoring and delivery free, and the orchestrator states the total before the run against a ceiling you set.
Standing missions run on a thread that keeps context: last week’s list, your corrections, the segments and angles you approved and the accounts you removed. Workspace memory holds the ICP, brand kit and suppression lists, so each Monday builds on the last instead of starting over.
One objective tonight; the list, the audience and the sequences by morning.