Ardoq Launches AI Platform to Automate 40% of Architecture Work

OSLO, NORWAY – May 28, 2026 – Ardoq, a five-time Leader in Gartner's Magic Quadrant for Enterprise Architecture Tools, today unveiled its AI-first enterprise architecture (EA) platform, a strategic move designed to redefine how organizations manage digital complexity. The new platform grounds its artificial intelligence in customers' live, interconnected data, introducing a new class of AI agents projected to automate an estimated 40% of routine EA tasks.

This launch directly confronts a growing crisis of confidence in enterprise AI. As generic large language models (LLMs) become more accessible, architects are increasingly asked to validate decisions based on AI analysis that lacks true contextual understanding. These generic tools often reason on static documents, unable to grasp the intricate, real-time relationships between applications, business capabilities, and dependencies. The result is confident-sounding but potentially flawed recommendations, with architects left to manage the consequences.

Ardoq's new platform aims to close this gap by ensuring its AI reasons on what it calls a 'live architecture graph'—a proprietary foundation that maps every connection within a customer's specific IT environment. This approach is designed to keep the architect in control, with the AI performing the heavy analytical lifting while the human retains final judgment and accountability.

Beyond the Chatbot: A Governed Graph Approach

Ardoq is positioning its new capabilities as fundamentally different from simply layering a conversational interface over enterprise data. The company asserts this is not a "chatbot wrapped around enterprise data," but a system of structured reasoning built on a graph that the customer owns and governs.

At the core of this approach is the concept of traceability. Every recommendation or insight generated by the AI can be traced back to the underlying data points and relationships within the live graph. This allows architects to interrogate, challenge, and verify the AI's logic, a critical function that is often missing in more opaque, generic AI systems. The platform's foundation includes built-in permissions, data lineage, and change control, ensuring that AI operations are secure and auditable by design.

To deliver this, the company has launched a suite of new capabilities:

• Omnipresent AI Assistant: A conversational AI available throughout the platform, allowing users to ask complex architectural questions in plain language and receive instant, contextual answers that are traceable to the source data.

• AI Import Builder: A tool that uses AI agents to connect with third-party data sources in minutes. The agents can read service documentation, automatically configure connections, and import data, drastically reducing the manual effort of data integration.

• Custom Agents (Open Beta): This feature allows customers to build and deploy their own specialized AI agents tailored to their unique architecture and workflows. These agents reason on the organization's live data, not generalized internet training data, to perform highly specific tasks.

This technology aligns with predictions from industry analysts like Gartner, who forecast that by 2029, 90% of EA deliverables will need to be built for AI-driven agentic workflows, signaling a major shift from human-centric documentation to AI-executed processes.

The Tangible ROI of Architectural AI

The promise of AI-driven efficiency is backed by early customer success. Tenneco, the global automotive technology company, has been an early adopter of Ardoq's AI capabilities. The company reports it is on track to reclaim the equivalent of 1.25 full-time employees (FTE) within twelve months and is targeting the automation of 40% of its routine EA work by 2027.

"It feels like we're multiplying the team without multiplying headcount," said Abby Cletus, Head of Technology Strategy at Tenneco, in a statement. "Ardoq AI is the only way we've found to get AI working on our actual architecture, not a stale export of it. The reasoning is traceable, the answers are auditable, and the team is spending its time on the decisions that matter."

This focus on measurable return on investment is critical in a market where, according to analysts at Forrester, many enterprises are struggling to see a clear bottom-line impact from their AI experiments. By automating time-consuming tasks like data gathering, dependency mapping, and impact analysis, Ardoq aims to free up highly skilled—and highly paid—enterprise architects to focus on strategic initiatives, innovation, and driving business value rather than maintaining documentation.

Redefining Leadership in the EA Market

With this AI-first launch, Ardoq is making a bold play to solidify its leadership in a competitive market. The company has already been named a Leader in five consecutive Gartner® Magic Quadrant™ reports for Enterprise Architecture Tools and was recognized as a 2026 Gartner® Peer Insights™ Customers' Choice, earning top marks from customers for its product capabilities and support.

This strategic push is built on a period of accelerated development, with the company shipping over 100 features in 2025. The new AI platform is the culmination of a broader redesign, dubbed the 'new Ardoq experience,' which established the sophisticated data foundation necessary for this AI-first approach.

"The market has spent two years asking whether AI can be trusted with enterprise decisions," stated Sunny Dhami, Ardoq's Chief Marketing Officer. "Today is our answer. Generic AI invents architecture. Ardoq AI knows yours."

Today's announcement is just the beginning. Ardoq has signaled that this is the first in a series of planned releases for 2026, with further enhancements to Custom Agents, new partner integrations, and the next evolution of the graph data foundation scheduled for the rest of the year. This sustained focus on innovation aims to set a new industry benchmark, moving the entire field of enterprise architecture toward a more dynamic, intelligent, and value-oriented future.