DevRev delivers autonomous self-service with GPT-6.1 Sol

DevRev⁠(opens in a new window) built Computer and Operator to help service and operations teams carry even the hardest customer and employee requests through to completion. Computer and Operator are designed to reason across live data. Actions are reversible, and answers point back to their sources, explains Ahmed Bashir, DevRev’s chief technology officer.

DevRev combines OpenAI models, including GPT‑6 Astra and GPT‑6.1 Sol, with its harness for connecting company knowledge and giving teams control over the actions an agent can take. DevRev sees OpenAI models as providing reasoning and reliability with the speed and cost of serving customers and employees.

“It’s a combination of being able to have the right reasoning capabilities, being able to be trusted, highly aligned, and most importantly, it has to work from a latency perspective.”

—Ahmed Bashir, Chief Technology Officer, DevRev

Making AI work with company context

OpenAI models power the reasoning, planning, and tool selection behind both Computer and Operator. In DevRev’s Agent Studio, users can describe how they want a tool to behave in a conversation with AI and define parts of its behavior with fixed rules.

DevRev tests the models together with the software that supplies company context, enforces permissions, and controls actions. Its Enterprise-Bench benchmark evaluates how well they work when data has multiple versions, information sits in different systems, and access depends on a person’s role.

Ahmed says GPT‑6.1 Sol performs well in those evaluations. When a customer or employee is interacting with an AI agent, the model needs to understand the nuances of the request and respond quickly, at a cost the business can sustain. “I think it strikes the balance perfectly,” Ahmed says.

Building software and sales demos with Codex

“We think that Codex is far and away the best experience.”

—Ahmed Bashir, Chief Technology Officer, DevRev