Every new signal means a new Zap, a new webhook, a new field in HubSpot. You maintain plumbing instead of shipping programs.
A provider renames a field, a trigger fails once, and pipeline quietly stops flowing — you find out weeks later at QBR.
Sales wants to tweak routing on Friday afternoon. RevOps gets pinged Monday. The ICP has moved on twice by then.
Apollo, ZoomInfo, Clearbit — you burn credits on the same contacts every week because no system dedupes across providers.
Attribution sits in one tool, funnel metrics in another, rep activity in a third. Nothing reconciles.
Round-robin, ABM overrides, territory carve-outs, PLG signals — the rule tree gets so deep nobody trusts it anymore.
Describe the workflow in plain English. Black Magic AI assembles the detection, enrichment, scoring, and delivery logic in one agent.
Every signal, every enrichment provider, every CRM action runs inside a single orchestrator with observable state.
Change segmentation, scoring, routing by editing the prompt or a rule card. No vendor ticket, no deployment.
Route each contact through your existing providers in priority order. Stop paying three vendors for the same email.
Every agent run is logged. Replay any decision, see exactly which data fed the LLM, roll back a bad change.
Pipeline, attribution, rep activity, and cost-per-meeting reconcile in one place because one system fired every action.
Paste HubSpot or Salesforce credentials, plug in Slack, Gmail, Apollo, and Clay. Black Magic AI indexes your schema automatically so agents reference real fields.
Open the chat and write: "When a Series A SaaS company hits /pricing twice in a week, enrich the exec buyers, research recent funding, and draft a Slack alert to the named-account rep." The agent proposes a plan.
The Website Visitors and LinkedIn Intent agents fire in real time. Each hit is matched against open CRM records, scored against your ICP, and enriched through your provider waterfall.
The matched account lands in the correct owner inbox — or #deal-war-room — with a researched summary, the buying committee, and a drafted first-touch.
Every agent run is logged. See which signals produced pipeline, which sequences converted, which providers delivered. Tune the prompt, redeploy, move on.
Stop context-switching across Zapier, Clay, Apollo, and Make. Black Magic AI runs all of it, visibly, with one history.
Instead of 47 nested if-then branches, describe intent. The agent decides, and you keep the veto.
Every run is a rerunnable trace. See the prompt, the tools called, the data returned, the action taken.
Compose detection, enrichment, scoring, and delivery into one orchestrated run — via chat or a clickable plan.
Priority order Apollo → Clearbit → Ocean → your own dataset. Credits only spent when upstream misses.
Two-way sync with HubSpot and Salesforce — match, dedupe, and write back with zero glue code.
Every signal tagged to a touch, a meeting, and a stage. Attribution that actually reconciles at EOQ.
Website hits, LinkedIn engagement, form fills, product events, funding rounds — all out of the box.
Generate the first-touch email, LinkedIn note, or Slack ping from the same workflow that detected the signal.
For the GTM workflows they currently cover — yes. Black Magic AI is purpose-built for revenue plays and runs them with an LLM, not brittle step graphs. Most teams keep one of them around for a few generic internal Zaps and consolidate everything else.
No. Every plan is shown before it runs, every run is replayable, every change is rollback-able. You can gate any step behind a human approval.
Black Magic AI is a local desktop app backed by SQLite on the RevOps workstation. External data stays in the systems of record — HubSpot, Salesforce, your warehouse.
Teams typically replace their first three Zaps and one Clay table within a week. Full consolidation of a mid-sized RevOps stack lands in four to six weeks.
