CRM & RevOps Agents

A CRM that updates itself, and tells you what changed.

RevOps agents that work inside Salesforce, HubSpot and Zoho. They capture what happened on calls and emails, fix and enrich records, flag risk in the pipeline and get leads to the right owner in minutes.

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Quick answer

What is an AI CRM agent?

An AI CRM agent works inside Salesforce, HubSpot or Zoho CRM. It updates records from calls and emails, de-duplicates and enriches data, routes leads and flags pipeline risk. Every change goes through field-level permissions, approval steps for sensitive fields and an audit log that can be rolled back.

Use cases

What CRM & RevOps Agents handle

01

Call-to-CRM updates

After every meeting, update next steps, stage, MEDDICC fields and contacts from the transcript, with rep confirmation.

02

Data hygiene

Find duplicates, normalise fields, fill gaps and keep account hierarchies correct, continuously.

03

Lead routing

Match, score and assign leads in seconds using territory, capacity and account ownership.

04

Pipeline inspection

Flag stalled deals, single-threaded opportunities and slipping close dates before the forecast call.

05

Forecast prep

Summarise changes by rep and segment, with the evidence behind each call.

06

Handoffs

Sales-to-CS handoff notes built from the full deal history.

How we build it

From your playbook to a production agent.

  1. Audit the data model

    We map objects, fields, automations and the real process before touching anything.

  2. Define the rules

    Which fields agents may write, what needs approval and how changes get logged.

  3. Deploy natively

    Agentforce, Zia, HubSpot Breeze or a custom agent over the API, chosen by fit, not habit.

  4. Monitor

    Change logs, rollback paths and weekly data-quality reports.

Capabilities

What it can do

  • Native Salesforce, HubSpot and Zoho actions
  • Field-level write permissions and approvals
  • Full audit trail of every change
  • Duplicate and anomaly detection
  • Transcript and email extraction to fields
  • Slack and Teams digests

Guardrails

What keeps it safe

  • Least-privilege integration users
  • Approval steps for stage, amount and owner changes
  • Sandbox-first testing
  • Bulk changes in reversible batches

Works with

  • Salesforce
  • Agentforce
  • HubSpot
  • Zoho CRM
  • Gong
  • Clari
  • LeanData
  • Slack

Measured on outcomes

The numbers we report every month.

We agree on baselines before launch and track them on a shared dashboard, so you can see the agent’s impact, not just its activity.

  • Field completeness
  • Duplicate rate
  • Lead-to-owner time
  • Forecast accuracy
  • Admin hours saved

Pairs well with

Agents that share the same context

Voice Agents

Inbound and outbound calling agents that qualify, book, follow up and hand off warm to your reps.

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Chat Agents

Website, in-app and messaging agents that answer, qualify and book meetings while buyers are still on the page.

Explore

Email Agents

Agents that work your inboxes: reply handling, signal-triggered outreach, follow-ups and shared-inbox triage.

Explore

Guides

Further reading

5 min read

Agentforce vs. custom AI agents for Salesforce: how to choose

Agentforce or a custom agent on Salesforce’s APIs? A practical comparison of data, channels, model choice, governance and time to value.

Read the guide 6 min read

What is a context layer for AI agents, and why MCP matters

Why AI agents fail without context, what a context layer contains, and how MCP lets AI assistants use your CRM and data safely.

Read the guide 5 min read

Is your CRM ready for AI agents? A 12-point checklist

Before deploying Agentforce, Zia, Breeze or a custom agent, check these 12 points on data, automation, access and process.

Read the guide

FAQ

Questions, answered

Something else? Ask us directly.

Should we use Agentforce, Zia or a custom agent?

It depends on licensing, data and the job. We often combine them: native agents for in-platform actions and custom agents where you need more control or cross-system context.

How do you avoid agents corrupting CRM data?

Least-privilege access, field-level rules, approval steps for sensitive changes, sandbox testing and a full change log you can roll back from.

Next step

See CRM & RevOps Agents working on your workflow.

Book a 30-minute call. We’ll map your highest-leverage use case, show a working agent and tell you honestly what it would take.

Book a demo