Build and operate enterprise agents with connected data, human review and deployment controls through Dialtone.
Dialtone is an enterprise platform for building AI agents that work with existing software and data. It combines a no-code agent interface with connectors, triggers, monitoring and implementation support. Employees can use agents through familiar chat and email systems rather than moving every task into a new application.
The agent builder supports designing, testing, deploying and running workflows. Triggers can come from integration events, schedules or webhooks. The connector library covers data, actions and events, while custom integrations can use existing OpenAPI specifications and MCP servers. Exact connector support should be confirmed against the organisation’s systems.
Human-in-the-loop features allow staff to participate when input or approval is required. This is particularly important for workflows that change records or communicate externally. A well-defined process identifies which steps an agent may complete independently and where it must stop for a decision.
Observability provides real-time logs and traces for inspecting workflow steps, debugging failures and auditing activity. The company offers cloud-hosted, customer-cloud and on-premises arrangements, with dedicated infrastructure and enterprise access controls. Deployment details, retention and service commitments belong in the agreed implementation rather than being inferred from broad marketing claims.
Dialtone says platform access includes solutions architecture and engineering support from scoping through ongoing optimisation. This makes the offering more implementation-led than a simple self-service automation subscription. A public numerical price schedule was not available in the reviewed material.
Choose one recurring task with known inputs and outcomes. Map its systems, configure narrow permissions and test both normal cases and exceptions. Inspect the logs before enabling recurring triggers. The platform can execute a defined process, but accountable owners must maintain the rules and verify consequential results.
