Ardoq, a SaaS company redefining Enterprise Architecture, has introduced its Enterprise AI Management Solution, a platform designed to help organizations gain comprehensive visibility, governance, and compliance over their AI adoption.
As artificial intelligence becomes increasingly embedded across enterprise operations, leaders face the challenge of managing shadow AI usage, data flows, regulatory compliance, and business outcomes. With the EU AI Act, the Colorado AI Act, and proposed U.S. regulations such as the Algorithmic Accountability Act approaching, organizations must demonstrate explainable, ethical, and compliant AI practices. Yet many still lack the tools to deliver this visibility.
“AI is creating both unprecedented opportunity and real uncertainty. Most organizations are unaware of where AI resides within their business or what data it impacts. They need connected, enterprise-wide insight that ties AI usage to strategy, compliance, and risk. By integrating governance into the Enterprise Architecture knowledge graph, Ardoq gives leaders the visibility to act and the confidence to move fast responsibly,” said Erik Bakstad, CEO and Co-Founder, Ardoq.
Governance in Context: Linking AI to Strategy, Risk, and Value
Ardoq’s solution embeds governance into its Enterprise Architecture knowledge graph, giving enterprises a connected view of how AI interacts with systems, data, and business capabilities. This enables leaders to respond to board-level questions with clarity while aligning AI adoption with organizational goals.
The platform is built on four key pillars:
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AI Visibility: Detect AI systems across the enterprise, including shadow AI, and map usage, ownership, and dependencies to close blind spots.
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AI Compliance Readiness: Ensure compliance with global AI regulations and internal governance standards, supported by audit trails and reporting.
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Strategic Alignment: Link AI initiatives to business outcomes, KPIs, and transformation priorities, helping leaders measure value and mitigate risks.
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Future-Proof Governance: Maintain flexibility with a vendor-agnostic, scalable framework that supports generative AI, proprietary LLMs, and industry-specific tools.
Customers are already emphasizing the importance of connected governance.
“Everything works better when it works together on purpose,” said Henrik Magnusson, Head of Architecture at SmartestEnergy. “Ardoq helps us connect complex systems and data to deliver on our deep green agenda. That same ability to connect AI into the wider enterprise context is exactly what organizations need to innovate responsibly.”
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Closing the Governance Gap
Ardoq was among the first Enterprise Architecture platforms to highlight the widening governance gap in AI adoption. Research from late 2024 revealed:
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Over 50% of employees used unauthorized AI tools, creating security and compliance risks.
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95% of executives reported AI-related mishaps, yet only 2% of enterprises met responsible AI standards.
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While 93% of organizations had deployed AI, just 7–8% had formal governance frameworks.
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More than 90% admitted they were unprepared for upcoming compliance requirements.
One year later, AI adoption has accelerated, but governance remains behind a disconnect Ardoq’s solution is designed to address.
Ardoq’s Enterprise AI Management Solution: Oversight by Design
With its new solution, Ardoq enables organizations to:
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Identify and classify AI systems across functions, providing a single source of truth.
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Map data flows and dependencies to highlight risks and ensure proper data handling.
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Monitor compliance with international regulations and internal policies.
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Connect AI systems to business outcomes, linking adoption to KPIs and strategic value.
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Adopt a vendor-agnostic approach that evolves alongside AI ecosystems.
Unlike standalone governance tools, Ardoq integrates oversight directly into Enterprise Architecture, offering a holistic view of how AI impacts people, processes, systems, and strategy.
Built on Enterprise Architecture for End-to-End AI Governance
Ardoq emphasizes that AI governance cannot be managed in isolation. Its knowledge graph-based approach provides leaders with actionable insights to align AI with transformation goals, manage dependencies, and confidently answer board-level questions.
The company has also pioneered first-to-market innovations such as the MCP Server, enabling secure direct queries from AI assistants like Claude and Microsoft Copilot. Unlike chatbot add-ons, Ardoq’s AI is embedded in the model itself ensuring explainability, traceability, and compliance by design.
“What makes Ardoq’s approach unique is its foundation in Enterprise Architecture,” said Dr. Jason Baragry, Chief Enterprise Architect, Ardoq. “We don’t just show where AI exists. We reveal how it impacts the capabilities, people, and processes that drive transformation. That is the insight leaders need to govern responsibly and unlock value.”
