AI agents that run
your systems.
They listen to what happens, work toward goals,
and take action across your tools.
How Groot works
An event arrives
Connect any system. Groot wakes up the moment something happens — a new lead, a fired alert, a support ticket, a customer reply.
Groot decides and does
It reads context across your stack, makes a decision, and calls the right tools — databases, APIs, email, Slack — all in one run.
The loop completes
Groot subscribes to what happens next. When the reply lands, the alert clears, or the call finishes — it wakes up and keeps going.
What’s possible with Groot
Groot is a platform for building agents that operate across your systems. These are three examples —
Call Intelligence & Demo Prep
A new lead arrives in Salesforce. Groot checks ICP fit, enriches the profile, and kicks off a personalised AI voice call via ElevenLabs.
When the transcript comes back — Groot wakes up again. It extracts pain points, objections, and competitors mentioned, then simultaneously updates Salesforce, drafts demo notes in Notion, and briefs the AE on Slack.
Rules dial every lead the same way. Groot reasons about fit before calling, then subscribes to the transcript event and continues only when it arrives — extracting nuanced signal, not just logging “call made.”
Billing Dispute Resolution
A customer reports being charged twice for their subscription. Groot checks the Stripe billing history, finds the duplicate charge, and immediately issues a refund — sending the customer an explanation via email.
Then it waits. When the customer’s reply confirms the refund landed, Groot closes the Zendesk case and notifies the support team on Slack.
Automation raises a ticket and waits for a human. Groot investigates the billing history, takes corrective action, then subscribes to the customer’s reply event — the case only closes once the customer confirms the refund landed.
Incident Triage
Datadog fires: latency 9× baseline, DB errors spiking. Groot correlates with GitHub — a payments-service deploy 47 minutes ago changed the query layer. It posts its hypothesis and rollback recommendation to #on-call.
Then it waits. When the engineer’s reply arrives, Groot verifies that Datadog metrics have recovered, closes the PagerDuty alert, and creates a post-mortem in Jira.
A paging system wakes a human. Groot reasons across three systems to form a hypothesis, then subscribes to the engineer’s confirmation event — the incident only resolves once the fix is verified.
Call intelligence & demo prep
Built to run in production
End-to-end observability
Every decision and action is traced with structured logs. See exactly what your agent did, why it acted, and what it triggered.
Cost controlled
Set spend limits per agent. Track token usage and cost in real time. No bill surprises at the end of the month.
LLM agnostic
Bring your own model. Switch providers without changing your workflows or agent logic. Zero lock-in.
Community Edition
Self-hostable. Run Groot on your own infrastructure with full control over your data, your models, and your costs.
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