AI Enablement Radar week 18: agents move into the enterprise
Adam Olofsson Hammare
The AI Enablement Radar for week W18 shows a clear shift: agentic AI is no longer mainly about isolated experiments. It is being embedded into large workflows, platforms, and governance models. This week's signals point to broad rollout, more enterprise platforms, stricter governance requirements, and a growing need to measure whether agents can actually be trusted in production.
Top news this week
- Large-scale productivity rollout: Accenture, together with Microsoft, began rolling out Microsoft Copilot to 743,000 employees. The rollout was described as the solution's largest enterprise deployment to date.
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- Google Cloud launches Gemini Enterprise Agent Platform: Google Cloud introduced Gemini Enterprise Agent Platform, bringing agent development, control, identities, and deployment under one umbrella.
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- Agentic transformation partnerships: Accenture and Deloitte announced new practices or partnerships for enterprise deployments of Gemini Enterprise.
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- AI partner for software development: IBM launched IBM Bob, an AI development partner with multi-model routing and human checkpoints for production-ready software development.
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- Regulation holds despite debate: This week's coverage of the EU AI rulebook focused on the Omnibus debate, possible August 2026 compliance deadlines for U.S. companies, and collapsed Brussels talks while the deadline remained in place.
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Enterprise Adoption
- Professional services: Accenture began rolling out Microsoft Copilot to 743,000 employees.
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- Retail and life sciences: Merck and Home Depot used Gemini Enterprise for AI agent development.
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- Pharmaceutical production and R&D: Novo Nordisk selected OpenAI to deploy AI across R&D, manufacturing, and corporate functions.
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- Banking: Customers Bank engaged OpenAI to reengineer commercial banking.
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Tools & Platforms
- Agent platforms become control planes: Google Cloud Gemini Enterprise Agent Platform launched for AI agent development, control, and deployment.
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- Software development adds checkpoints: IBM Bob launched with multi-model routing and human checkpoints for enterprise software.
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- Benchmarking and observability: A benchmark orchestration platform launched with integration to an experiment and model-tracking tool for more trusted agent operations.
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- Customer experience in the agentic era: Adobe introduced an enterprise solution for customer-experience orchestration in the agentic AI era.
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- Autonomous enterprise operations: A cloud provider and a workflow platform announced AI-agent integration for autonomous enterprise operations.
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Use Cases
- Professional services: An AI assistant was deployed to 743,000 employees.
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- Pharma: AI deployment was announced across R&D, manufacturing, and corporate functions.
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- Banking: Customers Bank and OpenAI used AI as part of commercial banking reengineering.
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- Healthcare: WHO Europe published a first snapshot of AI in health care across EU Member States.
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Governance & Regulation
- EU AI rulebook: IAPP reported on the Omnibus debate and next steps.
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- Possible compliance deadline: U.S. companies were flagged as potentially facing an August 2026 EU AI Act compliance deadline.
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- Standards for AI deployment: The UK government announced plans to set standards for AI deployment.
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- Critical infrastructure: NIST published a concept note for an AI RMF profile on trustworthy AI in critical infrastructure.
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- First AI legislation in Japan: Japan's first AI legislation became law, with a focus on promoting research and development and no monetary penalties.
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Notable signals
- Enterprise growth: News coverage described how AI agents were placed at the center of a major cloud provider's enterprise growth push.
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- Agents scale faster than guardrails: Consulting-sector reporting indicated that business and IT leaders see agentic AI scaling faster than guardrails and governance.
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- AI goes to work: TechTarget coverage from MIT EmTech framed 2026 as the year AI moves into practical work.
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- Procurement and IT as bottleneck: Procureability’s 2026 CPO-CIO report said weak procurement-IT collaboration on AI governance is limiting AI deployments.
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Companies to watch
- Customer-experience agents: A company in agentic AI for customer experience was reported to have raised $110 million, with involvement from larger enterprise and software actors.
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- Benchmark orchestration: A platform for trusted AI-agent operations focuses on benchmark orchestration and integration with experiment and model tracking.
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- Independent AI governance: One company was highlighted for an independent AI governance rating system.
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