DevRev

DevRev Computer for company knowledge and actions

DevRev develops Computer, an AI platform that connects company information with search, assistants and agents. Its intended users include support teams, service operations and developers building workflows around organizational knowledge. The platform combines finding information with taking configured actions, so deployment involves both data access and operational permissions.

DevRev describes a shared memory layer connecting structured records, such as customer and ticket data, with unstructured material, such as documents and messages. The purpose is to give different sessions and agents a common company context rather than rebuilding that context for every question.

Source-linked search and shared memory

The architecture overview explains that the memory layer is separate from the underlying AI model. DevRev can change models while retaining the connected organizational context. This makes the information architecture an important evaluation topic alongside the choice of language model.

Enterprise search and answers can trace a response back to source records and documentation. DevRev describes preserving source permissions when information is retrieved. Teams should still inspect which systems are connected, whether records are current and how conflicting sources are presented to the person asking the question.

Agent Studio and controlled execution

Agent Studio supports describing an agent or skill in plain language, testing it in a sandbox and evaluating multiple queries before deployment. Version comparisons help examine whether a revision improves the intended behavior. Session traces, guardrail logs and token-usage information provide ways to investigate individual runs.

Approval gates can be configured around actions such as account changes or external communications. These controls need deliberate setup. Computer's published guidelines explain that file edits inside an approved working folder can proceed without a fresh prompt for each edit; approval is not a universal per-action guarantee.

An example support-triage evaluation

A support operations team could start with an approved product manual and a limited set of non-sensitive test tickets. Ask Computer to identify the relevant product area, retrieve supporting guidance and draft an internal routing recommendation. Require review before any customer message or account update.

Run representative queries in the sandbox, including an outdated manual, a ticket with missing context and a question outside the connected material. Compare agent versions and inspect the underlying sources and traces. This proposed workflow tests retrieval and routing separately from granting permission to change production systems.

Input restrictions, limitations and access

The Computer guidelines acknowledge inaccurate outputs, ambiguous instructions and unintended actions. They say special-category and employee data should not be entered. Computer is not intended to make consequential automated decisions affecting people. Review those restrictions and the configured approval scopes before connecting organizational data.

The pricing page lists a free Mini offering and sales-quoted Pro and Max plans. Agent Studio is listed under Pro, so free entry should not be interpreted as unrestricted access to agent-building and enterprise deployment. Confirm connector coverage, model credits, support and add-on terms for the proposed rollout.