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Across sessions, demos, and conversations, one message was remarkably consistent: AI success will not come from isolated tools, but from orchestrated systems.
At ARKANCE, this direction won’t surprise anyone. What has changed is the pace. This is no longer a future vision — it is becoming operational and scalable across the industry.
From AI assistance to AI in action
For years, AI has positioned itself as an assistant: generating text, analysing data, or automating individual tasks. Useful, but largely disconnected from core workflows.
DevCon 2026 marked a clear evolution.
AI is now starting to act inside workflows: triggering next steps, executing actions across systems, and coordinating processes end‑to‑end. In other words, AI is no longer just supporting work, it is starting to participate in it.
As one speaker put it: “You’re not just creating tools anymore – you’re defining how AI can participate in your workflows”.
This also reframes maturity. The path forward is becoming clear: first automate tasks, then workflows, and ultimately entire systems.
One concrete signal of this shift was the attention around Model Context Protocol (MCP).
During DevCon, hands‑on workshops demonstrated how MCP servers can expose real Autodesk data to AI agents in a structured and controlled way, including early Revit‑focused implementations. This isn’t about another API; it’s about giving AI reliable context so it can actually participate inside design and delivery workflows.
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The industry didn’t just move the needle this year; it reimagined the entire engine. It’s not only the tech stack: it’s how we build systems, how teams collaborate, and how decisions are made. In this new model, context engineering becomes a strategic advantage: with structured and trusted context, AI evolves into a powerful, consistent driver of meaningful outcomes at scale.
This idea of context engineering is key. It shifts the focus away from AI itself and towards the conditions that make it effective.
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The real challenge: orchestration, not experimentation
Despite the impressive demos, one recurring theme stood out in conversations at DevCon: The challenge is no longer to experiment – it is to make AI operational and scalable.
Most organisations already have plenty of tools. What they are missing is orchestration: data still lives in silos, workflows break across teams, and manual steps fill the gaps.
AI cannot fix this on its own. AI only delivers value when it operates inside: well‑structured data, connected systems, and clearly defined workflows.
This is why so many discussions naturally returned to Autodesk Platform Services (APS) – not as “yet another API layer”, but as the foundation for continuity across applications, data, and processes.
Platforms are no longer just about integration. They are becoming the foundation for intelligence.
From ecosystem to execution
What stood out this year is how much of this is already happening in practice.
Innovation is no longer driven by a single organisation. It happens at the intersection of platform providers, partners, developers, and customers. Programs like APS Accelerators or the Autodesk Developer Network are powerful not because they showcase technology, but because they connect real operational needs to platform evolution.
For us at ARKANCE, being part of that ecosystem means we can bring customer use cases into that loop, contribute to how platforms evolve, and build solutions that are grounded in reality.
The conversation has clearly shifted: from “what could be possible” to what is already working, measurable, and scalable.
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ARKANCE Session at Autodesk DevCon 2026:
Humanity & AI
Moving away from data fragmentation is no longer optional. Digital transformation is a must if you want to stay ahead. Let us show you what that looks like in practice, and how you can make it work for you.
Curious how this translates into real-world impact? Explore the full session in more detail.
From experimentation to leadership
DevCon 2026 feels like a real turning point.
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DevCon 2026 made one thing unmistakably clear: the conversation has moved on. The question is no longer whether AI will have impact, but how we embed it responsibly into real, connected workflows. Organisations that get this right, with trusted data and orchestrated platforms, will move from experimentation to real, scalable value.
The next wave won’t come from adding more tools. It will come from orchestrating systems, structuring data, and embedding intelligence where it genuinely adds value. Or, as Daniela Becker, Vice President EMEA Enterprise Sales at Autodesk, captured it perfectly: “Human creativity, integrated workflows, and the courage to lead beyond experimentation — that’s how we move forward”.
AI will accelerate this. Platforms will enable it. But making it work in practice is still about something more fundamental: connecting everything properly and making it usable.
At ARKANCE, this is exactly the space we are focused on: helping customers move from AI experimentation to trusted, operational impact at scale.
As we design our next AI‑focused programs, we’re actively gathering industry input to ensure we focus where it matters most.
If you want to help shape what ARKANCE builds next, and how it supports AI at scale, we invite you to contribute through our survey.
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