Hiring-signal prospecting list
Accounts in motion, contacts verified, pushed to the CRM: the first leg of most GTM missions.
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 seven agents under one orchestrator, one ledger and one approval policy.
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.
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.
One objective tonight; the list, the audience and the sequences by morning.