AI is increasing demand for connected data, applications and processes. At the same time, it is changing how integrations are designed, operated, deployed and governed.
Read the Gartner report “The Future of Integration: The Impact of AI” to explore what this shift could mean for your architecture, governance model and integration teams.
AI strategy is becoming an integration strategy
AI initiatives depend on secure, reliable access to the right data, applications and processes, together with the context required to use them responsibly.
As AI expands who and what can create connections, integration demand may grow faster than traditional governance models can manage. Without a strong foundation, greater speed can also mean more sprawl, unclear ownership and weaker control.
Organizations need to accelerate and scale integration while keeping ownership clear, operations visible and critical processes resilient.
What should your integration strategy address now?
As you assess your readiness, consider:
The SEEBURGER perspective:
autonomy needs a foundation
At SEEBURGER, we believe more autonomous integration will require stronger foundations, not fewer controls. Reusable and discoverable assets, reliable data and metadata, consistent policy enforcement and end-to-end visibility help organizations adopt AI without losing control of the business processes their integrations support. This is especially important for regulated, partner-driven and mission-critical environments.
Prepare your integration strategy for what comes next
Explore the changes ahead and identify the questions your integration strategy needs to answer today.
Source: Gartner, The Future of Integration: The Impact of AI, Andrew Humphreys, Keith Guttridge, Shrey Pasricha, 16 June 2026.
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