AI is transforming how businesses operate, from decision making to customer experience to supply chain automation. But AI does not work in isolation.
Without the right integration strategy, even the most advanced models stay stuck in silos, disconnected from the systems and workflows that power business outcomes.
In the recent years, integration has evolved from a behind-the-scenes IT function to a strategic enabler of enterprise intelligence. According to Gartner® analysts:
“AI and integration have a symbiotic relationship. AI fundamentally transforms how integration is done, and integration technologies are essential to the success of AI initiatives.”
Gartner, How to Combine AI and Integration to Deliver Business Value, Andrew Humphreys, Keith Guttridge, Shrey Pasricha, 11 June 2025
Whether you’re exploring RAG, MCP, or agentic AI, these capabilities all depend on one thing: a modern integration strategy.
Use the following checklist to assess whether your integration strategy is ready for the AI era — and discover what leading enterprises are doing differently.
Checklist: is your integration strategy future-ready?
1. Still relying on point-to-point connections or custom scripts
These brittle approaches do not scale with AI-powered workflows. Retrieval-augmented generation (RAG), for example, is highly dynamic and requires real time enrichment from multiple sources.
Composable, reusable, and governed integration makes it possible to retrieve contextually relevant data (for example, internal documentation and metadata) and inject it into AI prompts.
2. Lacking a unified control layer across APIs, data, and logic
AI needs orchestration. Without a central layer to coordinate flows, intelligence stays siloed.
When you’re enabling agentic AI in your organization, AI decisions must trigger downstream actions across your enterprise. Without orchestration, these outputs remain disconnected from business logic and operational systems.
3. Struggling to integrate structured and unstructured data
From PDFs to real-time signals, AI thrives on diverse data. Your integration platform should handle it all securely and at scale.
Managed File Transfer (MFT) is a critical component in orchestrating AI-powered workflows because it enables secure, scalable, and governed movement of unstructured data (such as documents, images, and logs) across hybrid environments.
4. No visibility into how AI decisions are triggered and executed
Observability is critical. You need to trace how AI prompts are enriched, how decisions are made, and what actions are taken end-to-end.
See also: How to Use AI with Enterprise Data Securely at Scale
5. Governance is inconsistent across teams or environments
AI introduces new risks. Many organizations are excited about agentic AI, but as my colleague Bas Van den Berg notes,
“The ability of AI agents to act, interpret, and communicate autonomously opens a Pandora’s box of potential errors.” – Bas Van den Berg, VP of Amplify Platform at Axway
Prompt governance, access control, and compliance logging must be built into your integration flows.
6. Business users can’t participate in building or managing flows
With the IT talent gap a constant concern, it is important to empower business users to make changes without disrupting your current systems.
Low-code tools and self-service capabilities can help democratize integration and reduce IT bottlenecks.
7. Your integration tools operate in silos
APIs, MFT, B2B, and events need to work together. A fragmented stack slows innovation and increases risk.
How to unlock the full potential of intelligent integration
If you checked more than a couple of these boxes, it is time to rethink your integration strategy.
That’s exactly why we built Amplify Fusion: to help enterprises move beyond fragmented tools and tactical fixes, and toward a unified orchestration layer where AI, APIs, data, and logic work together—securely, observably, and at scale.
From chaos to coordination – discover enterprise orchestration at scale with Amplify Fusion
Fusion’s true power is unlocked within Axway’s broader ecosystem — alongside MFT, API management, and B2B integration — creating a seamless, end-to-end foundation for intelligent workflows.
Want to see what modern integration looks like?
Download our newest whitepaper, “Rethinking Integration in an AI-Driven World.” Inside, you’ll discover:
- Why AI success is so dependent on your integration maturity
- How to orchestrate intelligent workflows across hybrid environments
- What makes Fusion different from traditional integration tools
- Real-world examples of how enterprises are embedding governance, automation, and intelligence into their digital flows
Learn how leading enterprises are building intelligent, orchestrated, and governed integration platforms that unlock the full potential of AI.