USE CASE · AI AGENTS FOR GTM

AI Agents for GTM

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.

ONE OBJECTIVE INSEVEN AGENTSONE LEDGER
⟨ THE JOB TODAY ⟩

Where the week actually goes.

01 /

GTM data lives in five tools

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.

02 /

The handoffs are where it breaks

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.

03 /

Nobody owns the whole job

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.

MISSION LEDGERTHIS WEEK · LIVE
WITH ASTROFABRIC

What changes when agents carry the work.

Objective-level missions

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.

objective → plan → agents

Seven specialists, one context

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.

discover → enrich → verify → deliver

Delivered where the work lives

CRM records, matched audiences, paused sequences, sheets and Slack digests, from one run, with approvals on every write.

CRM · ads · sequences · sheets

Standing missions that remember

Weekly refreshes on a thread that keeps context: this Monday’s run builds on what last Monday found and what you corrected.

monday learns from last monday
MISSIONS YOU WOULD RUN

Described in plain language. Delivered end to end.

PROSPECTING

Hiring-signal prospecting list

Accounts in motion, contacts verified, pushed to the CRM: the first leg of most GTM missions.

Hiring DataEmail VerificationHubSpot
ONE MISSION · EVIDENCE ATTACHED
AUDIENCES & AD TARGETING

ABM audience refresh, weekly

The same target list pushed to LinkedIn and Meta every Monday, suppression applied, match rates reported.

ListsLinkedIn AdsMeta Ads
ONE MISSION · EVIDENCE ATTACHED
REPORTS & DECKS

Weekly pipeline-signal digest → email

What moved at the accounts you care about, what was added, what was verified, in one Monday email.

Signal WatchChartsGmail
ONE MISSION · EVIDENCE ATTACHED

Three of a hundred. The full playbook library ships in every workspace, and anything you can describe becomes a mission.

GOVERNED AUTONOMY

Safe enough to actually turn on.

⟨ CONTROL PLANE ⟩ENFORCED AT RUNTIME · NOT ADVISORY

One approval policy

CRM writes, audience pushes and sequence loads all route through the same queue with the exact rows shown.

One ledger

Every agent meters against the same credit ledger under one ceiling; a mission that reaches it parks with the work it finished.

One audit trail

Who did what, when, to which records, from which source: append-only across every agent and surface.

FAQ

Questions, answered.

What does "one objective" look like in practice?

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.

Do I need to pick agents myself?

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.

How does it fit the tools we already run?

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.

⟨ DEPLOY ASTROFABRIC ⟩

Hand over the whole job.

One objective tonight; the list, the audience and the sequences by morning.