Camunda

Findem Launches Studio AI Agents for Enterprise Talent Decisions

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Findem Launches Studio AI Agents for Enterprise Talent Decisions

Redwood City, Calif. – September 22, 2026 -- Findem has launched Findem Studio, a suite of AI agents designed to deliver finished, evidence-backed people-analytics work rather than raw data or search results. The platform is now available for free trial at studio.findem.ai/solutions.

Studio agents produce succession plans, market maps and benchmarks with supporting evidence

Findem Studio combines the company's proprietary people intelligence with AI agents built on methodologies from named practitioners. Outputs include succession plans, leadership benchmarks, hiring briefs, skills gap analyses, org charts and CHRO and VP of Talent Acquisition benchmarks. Rather than returning a candidate list for a succession plan, for example, an agent evaluates potential successors against expert-defined criteria and produces a plan with documented rationale that teams can review, challenge and refine before acting.

72% of Firms Say Broken Processes Sink AI Projects, Cost $1.55M Each

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72% of Firms Say Broken Processes Sink AI Projects, Cost $1.55M Each

Berlin – September 15, 2026 -- Broken business processes are costing companies an average of $1.55 million each as artificial intelligence initiatives collapse under outdated workflows, according to a new report from Camunda.

Process failures drive 72% of AI project setbacks, study finds

The AI Process Gap report, commissioned by Camunda and conducted by Sapio Research, found that 72% of enterprises have seen AI projects fail due to process-related challenges. Another 72% warn of spiraling costs if they fail to overhaul their processes, while 82% believe AI investments will flop without deep process re-design.

The core issue: 79% of companies say bolting AI onto existing workflows meets less internal resistance than redesigning them from scratch. Yet 82% estimate it will take up to five years to make core processes truly AI-ready, and 61% admit their process re-design efforts cannot keep pace with AI adoption speed.