Enterprise artificial intelligence platform company Dataiku Inc. today launched Agent Management, a standalone product that finds and tracks every AI agent a business runs, including those built on other vendors’ platforms.
Dataiku also expanded Cobuild, its natural-language agent for building AI projects.
Agent Management is aimed at a gap in how large companies keep track of what they run. Most maintain a record of who owns each piece of software and when its license renews, and Dataiku argues that almost none can produce the same for their agents. Fewer than one in five organizations keep a complete and current inventory of their AI systems, according to research from IBM Corp. cited by the company.
A bank can say how many servers it runs “to the decimal,” said Florian Douetteau, co-founder and chief executive of Dataiku. Ask the same bank about its AI agents and the answer is “a shrug or a guess,” he said.
Once connected to the platforms where a company’s agents run, the software pulls them into a single inventory. Connectors cover Salesforce Inc.’s Agentforce and the agent services run by Amazon Web Services Inc., Microsoft Corp. and Google LLC. Agents built on Databricks Inc. or Snowflake Inc. show up too, as do Dataiku’s own, and custom environments can report in through the OpenTelemetry standard.
Each entry maps the tools and models an agent depends on so supervisors can see how it works. The riskiest agents carry a standing record of certification status and named risks. Tests on them rerun on a schedule, so an evidence trail is already in place when an auditor or regulator asks for one.
Dataiku is positioning the product against monitoring tools built into a single vendor’s stack, which it argues tend to favor that vendor’s own agents. Sitting above every vendor’s stack lets Agent Management answer portfolio-wide questions, such as where risk is concentrated or which agents cost more than they return. Users can pose those questions in plain language.
Plain-language questions are also at the center of the Cobuild update. Dataiku made Cobuild generally available in June as an agent that turns a business request into a governed Dataiku project without code, and the expansion carries that approach across the platform.
A new feature called Cobuild Insights lets any employee ask a question of governed company data and get what Dataiku describes as analyst-quality answers. Users can then take the same line of questioning into deeper data work inside Dataiku.
A second addition, Dataiku Headless, brings Cobuild to developers inside the coding agents they already use, such as Anthropic PBC’s Claude Code, OpenAI Group PBC’s Codex and Space Exploration Technologies Corp.’s Cursor. From inside those tools, a developer can build or change pipelines, models and agents.
Migration is another use. Dataiku said an old Microsoft Excel workbook or Alteryx Inc. workflow can be converted into a governed project, and the tool can also be pointed at a live environment to investigate problems.
Cobuild is also built into Agent Management, so a team can have it recommend business-value metrics for an agent or diagnose and fix a risk alert. Cobuild’s AI Catalog is growing to cover all of a company’s vetted assets, semantic models included. Users can describe a business need and have Cobuild assemble the approved assets that fit into an answer or a visual pipeline with full lineage.
Clément Stenac, Dataiku’s co-founder and chief technology officer, said enterprises tend to run technical and business teams on separate platforms “without shared data or shared guardrails.” A few pilots could live with that, he said. At scale, he argued, it becomes “a liability companies have to prepare for.”
Dataiku gave timing and pricing only for Agent Management, which will be generally available in October. Access will carry an annual per-instance fee, with monitoring metered by the agent.
The company also published the “Global AI Confessions Report: CIO Edition, 2026,” at its Succeed conference in New York today. The report is built on a survey of 685 chief information officers that The Harris Poll ran for Dataiku July 9-29 at businesses with more than $500 million in annual revenue in eight countries.
Nine in 10 respondents said they were confident they had complete tracking of their agents. Asked specifically about agents built outside approved systems or formal channels, 81% said they lacked complete oversight.
Employees are building agents and applications faster than the information technology organization can govern them, according to 84% of respondents. Most of the CIOs also believe their careers will be shaped by their success with AI, and 76% said their role would be at risk if their company failed to show measurable business gains from AI by the end of 2027. Their AI budgets are exposed sooner, and 72% expect cuts or a freeze if this year’s performance targets are missed.
