Kantata Released Agent Studio Tool for Professional Firms
Professional services firms can now use plain language to build and deploy custom AI agents for operational tasks.
Updated on Sept. 22, 2026 in Professional Services
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Kantata has launched Agent Studio, a new tool that allows users to create AI agents through a conversational interface. The system integrates with the company's Expertise Engine to help firms automate documentation, resourcing, and time-entry workflows.
Why it matters
Professional services firms are increasingly deploying AI to scale internal expertise and reduce the administrative burden on consultants. This tool enables organizations to codify delivery standards and automate routine operations at scale.
This release expands upon the Expertise Agent introduced in June 2026, marking a second major product milestone for the platform this year. The tool is currently available to users across the global Kantata platform, including existing enterprise customers such as Basware.
The players
Kantata
A provider of professional services automation software designed to help consulting and services firms manage projects, resources, and financials.
Basware
A global provider of networked source-to-pay and procurement automation solutions that utilizes the Kantata platform for project management.
The details
Agent Studio operates within the existing Kantata Expertise Engine to simplify the creation of automated agents. Users describe their specific delivery standards in plain language, which the system then utilizes to build functional agents that handle documentation and resource management. To ensure quality, the platform includes a validation process that reviews all edits before an agent is published for live use.
Timeline
June 2026: Kantata launched the Expertise Agent.
September 22, 2026: Kantata officially launched Agent Studio.
Market Landscape
The release builds on the Kantata Expertise Engine, signaling a shift toward more accessible, low-code AI development for professional services firms. This move follows a broader industry trend of integrating conversational interfaces to automate internal administrative overhead.
Operations leaders should evaluate whether current manual documentation and time-entry tasks can be effectively offloaded to conversational AI agents. Assess your firm's existing delivery standards to determine if they are sufficiently documented to serve as the baseline for agent creation.
The takeaway
The move toward custom agent creation allows firms to scale institutional knowledge without hiring additional administrative support. Managers should audit their most frequent time-entry and resource-planning bottlenecks to prioritize which agents to build first.
Further reading
For more on the latest software shifts in this space, visit the Professional Services section.
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