Large enterprises commonly run hundreds of SaaS applications, and the real number is usually higher than the finance team's list once you count the shadow IT nobody has found yet. The cost of that sprawl is now a line item in the budget conversation, not a footnote.
The cost of SaaS sprawl
Zylo's 2025 SaaS Management Index put average SaaS spend at $4,830 per employee per year, up 21.9% year over year. For a 2,000-person company that is roughly $9.7 million annually. Figure checked 8 August 2026.
How much of that is genuine overlap — three survey tools, two marketing automation platforms, four chat apps — varies far too much between organisations for anyone's benchmark to be worth much. So measure your own: list every application, tag each one with the job it does, and total the spend wherever a job has more than one owner. That number is your consolidation budget, and it is the only one you should plan against.
The hidden cost is bigger. Every integration between two SaaS apps is a maintenance liability. Every duplicate record is a customer-facing risk. Every AI feature that can't see across those apps is wasted spend.
What consolidation actually looks like
Consolidation doesn't mean ripping everything out and replacing it with one mega-suite. That doesn't work — the mega-suite doesn't ship a single data model, and the migration cost exceeds the savings.
What works is the platform layer approach: pick one platform that owns the data model and the workflows, and let everything else integrate into it. The platform becomes the system of record; the other tools become the system of engagement for specific jobs.
The four phases
Phase 1: Inventory (week 1-2)
Export your SaaS inventory from your expense system, your SSO provider, and your finance ledger. Reconcile. Tag every application with its owner, its data model, and whether it's the system of record for any data your other tools depend on.
Phase 2: Categorize (week 3-4)
Sort every application into three buckets: Replace (the platform layer covers this function and can ingest the data), Integrate (the platform doesn't cover this function but needs its data), and Retain (a specialized tool the platform intentionally won't replace). A typical 200-app inventory distributes roughly 40 / 100 / 60.
Phase 3: Migrate (month 2-6)
Start with the bucket that's both "Replace" and high-traffic. Usually that's CRM or support — the platforms where every team already touches the data. Migrate in waves of 100-200 users. Don't try to migrate the whole company at once.
Phase 4: Decommission (month 6-12)
Once a tool's data is fully migrated and its users are active on the platform, shut it off. Cancel the contract. Revoke the SSO connection. This is where the savings show up in the budget.
What to consolidate first
In our experience, the order that produces the fastest ROI is:
- CRM and sales engagement (highest user count, most data)
- Marketing automation (depends on CRM data)
- Customer support (depends on CRM data)
- HRMS (depends on employee identity)
- Workflow automation and integrations (the glue)
How AI changes the math
The reason to consolidate in 2026 isn't just cost. It's AI. AI agents that can only see one SaaS tool at a time are significantly less useful than agents that can see across the business. Consolidating onto a single platform unlocks AI agents that act across sales, support, marketing, and operations — and that capability is becoming table stakes.
What to skip
Don't consolidate everything. The platforms that own vertical workflows (engineering, design, data) are usually better integrated as best-of-breed. The platform layer should receive their data, not replace them.
See how KaryaFlow fits into a consolidation plan or talk to our solutions team about a custom walkthrough.