# What happened Kantata introduced Agent Studio, a new capability inside its Expertise Engine that lets professional services firms convert their delivery standards into governed, executable agents. The feature targets people who define how work should be done—practice leads, delivery directors, project management office owners—so they can build agents around those standards without needing developers or technical specialists.
# Why it matters Professional services value consistent delivery. Kantata's approach is to make consistency a property of the platform by letting firms capture standards once and execute them through an agent that understands platform data, relationships, and workflows. That reduces the need for repetitive development projects and lowers the risk of creating another isolated agent silo.
# How Agent Studio works Users describe the job they want an agent to handle in plain language. Kantata's Expertise Agent then builds the agent through a conversational exchange and can refine it the same way. Each build or edit is automatically validated so inputs and outputs are structured correctly prior to publishing. There are no forms, logic trees, or code required.
Once published, an agent can be activated by a person or triggered automatically by an existing workflow using a single command. That means a firm can embed consistent behavior across every project, team, and client without asking experienced practitioners to repeat routine operational tasks.
# Platform-level context and governance
# Business intent versus automation
# Who uses it and availability Kantata says Agent Studio is available now and in use by customers. The feature is part of the Kantata Expertise Engine and extends the company's existing Expertise Agent that was launched earlier.
# Practical implications for services firms
- Non-technical delivery leaders can operationalize standards quickly.
- Agents can reduce administrative work for senior practitioners so they can spend more time on higher-value client work.
- Firms get a single place to manage agent behavior and quality controls rather than a growing set of bespoke agents to maintain.
# Bottom line