A real workflow engine.
Not a builder. Not a task list.
Battle-tested at enterprise scale, across any workflow, any industry. Pulse runs on a deterministic three-layer engine that customers train against their own process.
Trained inside Slack, on your actual process
Pulse learns your workflow the way a new hire does. It listens on the call, watches fields get filled, and is corrected in real time.
Three layers, one engine
The same primitives describe sales discovery, patient intake, loan origination, or claims handling.
L1 Parent Objects
The entity the workflow runs against. Opportunity, account, patient intake, loan application, ticket.
L2 Workflow Actions
Typed operations the AI can execute or hand to a human. Each one has required parameters and dependencies.
L3 Workflow Action Status
The state of each action. Enables branching, conditional progression, and valid next-step enforcement.
Configure. Execute. Review.
Three phases, one engine. Each stage is AI-assisted and Slack-native.
Configure
Describe your process in plain English. AI drafts the L1/L2/L3 definition. No six-month implementation.
Execute
Slack-native listening plus autonomous action execution. Think n8n, inside your CRM.
Review
BI reporting piped back into the engine. See what stalls, what leaks, what to optimize.
One approval closes the loop
After the call, review captured fields and queued actions. Approve the batch, done.
Self-optimizing against your business issues
The engine learns where the friction is and proposes changes.
Observe
Every action, transition, and field write is logged with outcome.
Diagnose
AI correlates stalls, missing fields, and lost deals against your metrics.
Suggest
The engine proposes workflow changes with a forecast of the impact.
Optimize
Approved changes roll into the live engine. The next call runs against the improved workflow.
See it on a real workflow
Fifteen minutes. A live call, real Salesforce data, AI picking actions from a defined engine.