AI agents

Hand the routine
to AI agents.

They take on repetitive, multi-step work across your systems, so your people can do what only people can.

AI agent
People

Your people were hired for judgement.

Yet much of their day goes to reading, entering, checking and chasing.

Automation used to stop at judgement.

It handled tidy data and fixed steps. Anything that needed reading or a decision came back to a person.

Agents read, judge within your rules, and act across your systems. Now whole processes can run, with people on the decisions.

Fixed steps AutomationAI agents
Tidy data AutomationAI agents
Reading AI agents
Judging within your rules AI agents
Acting across systems AI agents
Decisions People

Better processes, at lower cost.

Your apps, your context, your people. The agent works between them.

Apps

Your systems, as they are.

Context

Your rules, terms and history.

AI

Reads, reasons and acts.

People

Your decisions and exceptions.

Inbox Read CRM Rules Check Exception TermsHistory Decide Approve Accounts Act
  • Apps Your systems, as they are.
  • Context Your rules, terms and history.
  • AI Reads, reasons and acts.
  • People Your decisions and exceptions.

Works with the apps you already use.

If your team can use it, so can the agent.

Salesforce
Gmail
Teams
Intercom
Asana
Airtable
Confluence
Box
Canva
Stripe
Razorpay
Google Calendar
Shopify
Salesforce
Gmail
Teams
Intercom
Asana
Airtable
Confluence
Box
Canva
Stripe
Razorpay
Google Calendar
Shopify
HubSpot
Outlook
WhatsApp
Linear
ClickUp
Miro
Google Drive
Google Docs
Typeform
Xero
Paytm
Google Meet
SAP
HubSpot
Outlook
WhatsApp
Linear
ClickUp
Miro
Google Drive
Google Docs
Typeform
Xero
Paytm
Google Meet
SAP
Zoho
Slack
Zendesk
Jira
Trello
Notion
Dropbox
Google Sheets
Google Forms
Sage
PhonePe
Zoom
Zoho
Slack
Zendesk
Jira
Trello
Notion
Dropbox
Google Sheets
Google Forms
Sage
PhonePe
Zoom

The agent grows with your team.

  1. Starting out Agent: Prepares the work People: Check it and act
  2. Proven Agent: Does the work People: Approve each case
  3. Trusted Agent: Runs the process People: Handle the exceptions

Every run is traceable, auditable and documented.

The processes where agents pay off.

Processes that

  • repeat daily or weekly
  • cross two or more systems
  • follow rules you can write down
  • have one clear owner
  • are costly to get wrong

AI agents at work

Explore AI use cases

Built for you over short iterative cycles.

  1. Audit Map the work, choose where to start.
  2. Build Short cycles, demos on your data.
  3. Run together Tune it on real cases.
  4. Hand over Documented, your team in charge.

What we build with.

Independent of any vendor. Chosen for your job.

Where it runs
AWSAzureGoogle CloudCloudflareYour own servers

Explore every building block in Atlas, our map of where each one fits.

Open Atlas

It is yours

  • Code, context and settings in your repository.
  • Running on your servers or cloud.
  • Documented for whoever comes next.

Start with the AI Audit.

Know where AI pays off in your business, and what to do first.

Other services