The only enterprise-grade ops platform for evolving organizations

Tell Dot how your company works and watch the model take shape — the objects you run on, how they relate, the lists and statuses they use. Start from a quick sketch or a full working session, then refine by hand in the Model Designer before anything reaches your live site.

• Build a model by conversation, from a quick start to a full session
• Add objects, fields and relationships to a live site by asking
• Versions, side-by-side comparison and validation before you deploy

Ask Dot to connect a system and it finds the provider, gives you a secure sign-in card, reads the API documentation and drafts the requests — testing each one before it saves. If your model has nowhere to put the data, Dot proposes the objects and fields in the same conversation.

• A large provider catalog, plus any API you point it at
• Requests drafted and tested before anything is saved
• Credentials entered in a secure card — never in the chat

Build the rooms and views each team needs from a library of view types, all reading the same live model. Ask Dot for a readout and it drafts the report with its charts. In scenario planning, Dot builds interactive apps, pivots and decks you can take into the meeting.

• Rooms and views for every team, on live data
• Readouts drafted by Dot, with charts
• Interactive apps and decks in scenario planning

Some of what runs a company lives in people’s heads. Run surveys — assessments, attestations, intake and pulse checks — whose approved answers write back to the model. And tell Dot what it should always know about a site, a space, a kind of record or a skill.

• Surveys whose approved answers write back to the model
• Context notes attached where they apply
• Context that never widens anyone’s access

Describe a job and Dot investigates your data, drafts the steps and saves a skill your teams can run on request or on a schedule. Define decisions — judgments Dot makes by weighing evidence across the model — and keep people on every change that matters.

• Skills built and refined with Dot
• Decisions that weigh evidence across the model
• Changes proposed and routed to the right approver