A platform to build, run, and manage agentic workflows.

It is called Atomic Agents. We built it because we needed something secure and enterprise-grade that was still simple enough to embed in a small or mid-sized business, anywhere. It is not something you can sign up for: access comes with the engagement, so every business running on it is one we chose to work with.

How it gets built

Describe it in plain language. The platform builds it.

Two things get built here, and neither needs a developer. A workflow is a process that runs on its own. An agent is something that reasons about a job and calls those workflows as tools.

AI Workflow BuilderDescribe what you want to automate in plain language. No flowchart, no code.

Forty seconds. A process described in plain language becomes a working flow: the steps appear, the integrations connect, and it runs. The tabs at the end are the execution log, the version history and the run statistics.

Open full screenBest on a phone in landscape.

Integrations

Over 170 integrations, and new ones every week.

The platform connects to the systems you already run rather than replacing them. Not a handful of popular ones: more than 2,400 individual actions across the catalogue, so a flow can do the specific thing your process needs rather than the nearest thing available. The number under each name is how many actions that service exposes.

170+
Services connected
2,400+
Individual actions
Weekly
New integrations added
  • Microsoft 365189 actions
  • QuickBooks174 actions
  • Outlook93 actions
  • Slack14 actions
  • Notion14 actions
  • Teams34 actions
  • Salesforce41 actions
  • HubSpot28 actions
  • Stripe22 actions
  • Shopify36 actions
  • Google Drive8 actions
  • Supabase15 actions

A selection of the catalogue. The model providers are in it on the same terms as everything else here, which is what model independence looks like in practice rather than as a claim.

Security and residency

A separate workspace for every client.

Isolation is the default rather than something configured per engagement, and where the data lives is a decision you make rather than one you inherit.

Isolation by construction

Every client gets a separate workspace. The separation is structural, not a permission setting somebody has to remember to apply.

Data residency

Canada or the United States, selected at deployment. The same lever that keeps personal information in a Canadian region.

Your cloud, if you need it

Where a business requires it, the platform runs inside the client's own environment rather than ours.

Start here

Built with you: AI, automation, and the skills to own it

Start with a conversation. If a diagnostic is the right next step, we will say so. If it is not, we will say that too.