Your enterprise already has the systems it needs. SAP is running finance and operations. Salesforce or Dynamics is running the customer relationship. ServiceNow is handling IT service management. Some of it lives in the cloud, some is still on-premise because moving it isn’t worth the risk. None of these systems are the problem.
The problem is getting them to work together.
That tension is only getting sharper. Enterprises are under pressure to automate more, adopt AI agents faster, and move processes end to end without adding headcount, all of which depends on systems talking to each other. Most enterprise stacks weren’t built for that, and the gap between “systems we run” and “systems that are genuinely connected” isn’t closing. It’s widening.
The integration gap is the real constraint
The scale of this is easy to underestimate until you look at the numbers. According to MuleSoft’s 2026 Connectivity Benchmark Report, the average enterprise now runs close to 1,000 applications, and only 27% of them are properly connected. That figure barely improves for organizations further along in AI adoption. Companies with mature agentic deployments run roughly 10% more applications than average, but still connect only about a third of them.
The consequences show up directly in how IT teams describe their own environment. Ninety-five percent report real integration challenges. Eighty-six percent say that without proper integration, AI agents add more complexity than value, not less. And 82% name data integration as the single biggest obstacle standing between them and useful AI outcomes.
Figure: The enterprise integration gap. Close to 1,000 applications, only 27% connected.
None of this is a story about any one bad system. It’s a story about scale. When a business event needs four or five applications to respond in sequence, someone or something has to coordinate that sequence. Today, that someone is usually a person, manually re-entering the same details across systems, checking that nothing dropped, and following up when it inevitably does. That’s the actual cost of fragmentation: not that the systems are bad, but that the work of connecting them still falls on people.
Figure: One business event, five manual handoffs.
Why rip and replace isn’t the practical answer
There are two common responses to this problem, and both run into the same wall: the size of the estate they’re trying to fix.
The first is point-to-point integration, a direct connection between System A and System B, then another between B and C, and so on. It works at small scale. It stops working once you’re maintaining dozens or hundreds of these connections, each one a potential failure point when either system on either end changes.
The second is platform consolidation: move everything onto one suite, so the integration problem disappears because everything lives in the same place. It’s a reasonable idea for a five-application environment. For an enterprise running close to a thousand, it means a migration measured in years, disruption to processes that already work, and a bill that has to be justified before a single new use case goes live, while the systems too specialized or too risky to migrate stay as disconnected as before, under a different roof.
Neither approach matches what most IT leaders are managing. They don’t need fewer systems. They need the systems they already have to coordinate better.
Figure: Point-to-point integration vs. platform consolidation vs. cross-stack orchestration.
A different approach: cross-stack orchestration
Cross-stack orchestration starts from a different premise: leave the estate as it is, and coordinate the work that happens across it.
An orchestration layer sits above the enterprise stack. It initiates actions in the right systems, sequences the steps in order, tracks execution as the process moves, and handles what happens when something doesn’t go to plan: retrying a failed step, escalating to a person when the situation calls for judgment, and keeping a clear record of what happened and why.
This is a genuinely different posture. Point-to-point integration connects systems pairwise and leaves the coordination logic scattered across dozens of individual links. Platform consolidation solves coordination by demanding a single system of record. Orchestration solves it by treating the process, not the platform, as the unit that needs managing, and letting each underlying system keep doing exactly what it already does well.
A worked example makes this concrete. Take employee onboarding. One HR event needs to trigger access provisioning in SAP, a ticket in the ITSM platform, an equipment order through procurement, and a notification to the new hire’s manager in Microsoft Teams. Today, that’s four separate tasks, usually stitched together by hand.
An orchestration layer treats it as one coordinated process instead. The HR event triggers the sequence; each system does its part; the orchestration layer tracks the whole thing, holds or retries a step if a system is slow to respond, and surfaces the entire flow as a single tracked outcome rather than four disconnected tasks that happen to be related. It requires something above SAP, the ITSM tool, procurement, and Teams that knows how to talk to each one and can be trusted to run the sequence correctly, not a change to any of the four.
What orchestration requires to work
For this to hold up in a production environment, three things have to be true.
- Broad connectivity. The orchestration layer has to reach the systems that carry the business: ERP modules, CRM platforms, service management tools, collaboration systems, cloud infrastructure, and the databases underneath all of it. Partial coverage relocates the integration gap rather than closing it.
- Governance and visibility. IT needs to know what ran, when, why, and under what authority, especially as autonomous agents start initiating steps without a person in the loop at every stage. Coordination without governance is automation without an audit trail.
- Minimal disruption. If a downstream system changes and the process breaks, orchestration has failed at the one job it exists to do. The layer has to work with systems as they are, not as they were configured at the moment orchestration went live.
Where Symphony fits
Symphony is built as the orchestration layer for exactly this environment. It coordinates across SAP and non-SAP applications, including Salesforce, Microsoft Dynamics 365, ServiceNow, cloud infrastructure, and enterprise databases, spanning on-premise and legacy systems alongside the cloud.
The connection back to the problem is direct:
- Workflows span multiple systems. Symphony orchestrates the process across them, rather than leaving each system owner to build and maintain their own point-to-point connections.
- Autonomous agents increasingly need to take action across enterprise applications. Symphony provides the governance and visibility for that execution, so an agent initiating a step does so within a tracked, auditable process.
- Migration and consolidation programs carry risk and disruption. Symphony works with what’s already running, so orchestration can go live without a re-platforming effort attached to it.
Figure: Governed execution. AI agent to Symphony to enterprise systems to governed outcome.
Symphony’s orchestration layer already runs close to 400 production use cases across environments like this. The point isn’t that it’s another platform to adopt. It works with the enterprise estate as it exists today.
Keep the stack. Orchestrate the work.
The challenge was never which systems to keep. It’s getting the systems already in place to run as one coordinated process, with the governance to trust that coordination as more of it runs through AI agents rather than people.
Keep your systems. Connect your processes. Orchestrate with Symphony.
See how Symphony orchestrates across your stack →
FAQ
What is cross-stack orchestration? Cross-stack orchestration is a coordination layer that sits above the enterprise stack and runs work across existing systems. It initiates actions in the right systems, sequences the steps, tracks execution, and handles failures, without replacing any underlying system.
Why isn’t rip and replace the answer to enterprise integration? Because the estate is too large. Point-to-point integration breaks down across hundreds of connections, and platform consolidation means a multi-year migration for an enterprise running close to a thousand applications. Most IT leaders need their existing systems to coordinate better, not fewer systems.
How is orchestration different from point-to-point integration? Point-to-point integration connects systems in pairs and scatters the coordination logic across many individual links. Orchestration treats the process, not the platform, as the unit that needs managing, and lets each system keep doing what it already does well.
What does an orchestration layer need to work in production? Three things: broad connectivity to the systems that carry the business, governance and visibility so IT knows what ran and under what authority, and minimal disruption so a downstream change doesn’t break the process.
Does cross-stack orchestration require replacing SAP or other core systems? No. Orchestration works with systems as they are. It coordinates across SAP and non-SAP applications, spanning on-premise, legacy, and cloud, so the process runs end to end without a re-platforming effort.