Most organizations aren't struggling to access AI. They're struggling to govern it, measure it, and change how work actually gets done around it.

• 82% of organizations either aren't measuring AI ROI or don't know if they are (Thomson Reuters Institute, 2026).

• 87% of enterprises are developing, piloting, or deploying generative AI—but only 35% have a clear vision for how it creates business value (Bain, 2024).

• Enterprises with a formal AI strategy report 80% adoption success, versus 37% for those without one (Writer, 2025).

• 60% of enterprises haven't unlocked material AI value because the operating model around AI was never redesigned (BCG, 2026).

• Half of companies fail to sustain the savings and outcomes they set out to achieve—with culture, not technology, cited as the top barrier (BCG, 2025).

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What Dationic does

Dationic helps leadership teams answer four practical questions:

• Where can AI create measurable value — and how do we prove it, not just claim it?

• What operating model, governance, and decision rights does AI-enabled work actually need?

• How do we get the organization, not just the pilot, to change?

• How do we move from experimentation to a governed, funded, measured program?

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Why Dationic

Dationic is led by a practitioner, not a slide deck. Twenty years of enterprise transformation and Target Operating Model delivery; PMP and MIT Digital Transformation certified; and genuinely hands-on—daily—with Claude, ChatGPT, and Gemini. Independent, senior-led, and lower-overhead than a large consulting firm, with an active executive network across the Finnish and European business community in Singapore.

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Sources referenced: Thomson Reuters Institute, “2026 AI in Professional Services Report”; BCG, “Applied AI at its most impactful with Agentic Enterprise Operations” (June 2026); BCG, “Guide to Cost and Growth” (January 2025); Bain, 2024 enterprise generative AI survey; Writer, 2025 enterprise AI adoption report; Deloitte, AI ROI research; McKinsey, 2025 State of AI survey and generative AI value-potential research; IBM, enterprise AI performance research.