Enterprise

AI agents for enterprise teams.
Connected to your work.

Give operations, account, and reporting teams a repeatable way to prepare briefs and coordinate recurring work. Connect the records they already use, assign a workflow owner, and bring reviewable results back into their applications.

Work across approved applications

Team and agent collaboration

Deployment choices for your organization

01 / Work across systems

Turn recurring inputs into useful outputs.

The platform supports research, connected records, persistent files, structured working data, and scheduled assignments. These example workflows bring those capabilities together; they are configured and evaluated for each organization.

01

Operations: a weekly brief

An operations lead assigns an agent to read approved status files and selected spreadsheet data, maintain a tracker, and draft changes, blockers, and questions. The lead reviews the brief and carries corrections into the next reporting cycle.

02

Account teams: meeting preparation

An account owner uses authorized HubSpot or Apollo records, public research, and supplied material to prepare a briefing before a meeting. The owner checks sources and fills gaps. Available operations follow the account’s scopes and connection setup.

03

Team leads: consolidated reporting

Team leads assign separate inputs to linked agents. A reporting agent combines their files into tables, charts, and a PDF for review. Each contributor keeps distinct access, and the reporting owner resolves missing inputs before sharing the result.

Define a useful result, representative inputs, and acceptance criteria with the AI Prototype Test-Plan Builder before expanding the workflow.

02 / Operational coordination

Give the work a place to continue.

Use agents as ongoing responsibilities with owners, history, and deliverables. Shared workspaces let people collaborate without reconstructing the background of every request.

01

Shared work with explicit access

Place agents in Teams, invite individual collaborators, and assign organizational roles. Keep private work separate from shared responsibilities while preserving authorized administrative oversight.

02

Schedules and relevant events

Run recurring assignments with a defined time zone or respond to supported app events and webhooks. Users can inspect active, queued, or completed work and pause a responsibility when priorities change.

03

Internal systems and interfaces

Connect customer APIs and MCP tools, add reusable skills, and bring DT into internal applications through its Agent API and events. Your developers can build on the platform as requirements expand.

Explore integrations and APIs
04

Visible review points

Follow plans and tool activity, answer structured questions, and review covered email or approval-required API calls. Review policies are action-specific; confirm the controls for each workflow before enabling writes.

Examine the review controls

03 / Fit your environment

Choose where the work runs.

Enterprise requirements can include private networks, customer-selected models, restricted data, and dedicated operating arrangements. We scope the deployment around those conditions.

01

Customer-hosted or DT-hosted

Decide where the application, data, inference, and execution services should operate, and who manages each. Air-gapped deployment is available for workflows that need an isolated environment.

Compare deployment options
02

Build with your team

Use DT’s documentation to develop integrations and internal solutions. Optional forward-deployed engineers can consult on the initial approach or implement alongside your team.

Explore optional engineering

Next steps

What will your team build?

Explore the platform around your systems and workflows. Your team can lead implementation, with DT engineering or independent consulting available when you need it.