Your company probably owns more software than anyone can name. The average organization now runs over 100 SaaS applications, and large enterprises often run several times that. Yet for all that tooling, cross-team visibility keeps slipping and work takes longer to finish. That is the SaaS paradox: more apps, less productivity.
Most of those apps are not actively chosen anymore — they accumulate. A team adopts a tool to solve one problem, the problem changes, and the tool stays. Over a few years you get a graveyard of half-used subscriptions, overlapping features, and integrations nobody maintains. The fix is not another app. It is deliberate consolidation around a few connected platforms, and it is the kind of work that benefits from outside help such as Asana professional services, which is built around mapping work across teams rather than adding one more silo.
Why does adding tools make teams slower?
The cost is hidden because it is spread across every employee, every day. Harvard Business Review researchers tracked 137 people across three Fortune 500 companies and found workers toggle between applications roughly 1,200 times a day. The reorientation alone eats nearly four hours a week — about 9% of working time gone to switching, not to the work itself.
Multiply that by headcount and the number stops being abstract. Each switch carries a cognitive tax: your brain deactivates one set of goals and rules, then loads another. Do that 1,200 times and focus never has room to build. The tools meant to speed people up end up taxing the exact attention that does the work.
How does tool sprawl actually accumulate?
Sprawl is rarely a decision. It is the sum of many small, reasonable ones. Marketing buys a tool, sales buys a different one that does almost the same thing, support spins up a third, and IT learns about half of them after the fact. Studies put shadow IT — apps in use without IT’s knowledge — at roughly half of all enterprise applications.
Three patterns drive the pile-up. Workflow duplication: two departments solve the same problem with two tools, then maintain both. Integration debt: every new app needs connectors to the rest, and those connectors quietly rot as APIs change. Orphaned ownership: the person who championed a tool leaves, and it keeps billing without a steward. None of these show up on a single line item, which is why finance often misses them until a renewal audit.
According to Max Nakhutin, Team Lead Asana at Cloudfresh, “The companies that escape tool sprawl don’t start by cancelling licenses — they start by mapping where the same piece of work changes hands. Once you can see a request travel from intake to delivery, the redundant tools become obvious, and so do the gaps a new tool was never going to fill.”
What does smart consolidation look like?
Consolidation is not picking one mega-app and forcing everyone into it. It is grouping work into a small number of interconnected platform ecosystems and letting each own what it is good at. A practical split: work management for projects and cross-team execution, CRM for the customer-acquisition side, customer support for post-sale service, and a collaboration layer for documents, communication, and whiteboarding.
The goal is fewer handoffs between unrelated systems and more shared context inside related ones. When project work, customer records, support tickets, and documents live in platforms designed to talk to each other, a request stops being re-keyed four times as it moves across teams. That is where the toggling count actually drops — not because people try harder, but because the work has fewer borders to cross.
How do you audit your stack without stopping work?
Start with usage, not opinions. Pull license and login data and flag anything unused for 90 days — industry studies consistently put a large share of SaaS licenses in that idle bucket. Idle licenses are the cheapest cuts: low risk, immediate savings, and a quick signal to the organization that the audit is real.
Next, map overlap by function. List every tool against the job it does — task tracking, messaging, file storage, ticketing — and look for two or more tools doing one job. Then trace one real workflow end to end, the way HBR’s researchers watched a single supply-chain transaction cross 22 applications. Seeing the actual path shows you which tools add a step and which remove one.
Only then do you decide. Keep the platform that anchors each ecosystem, migrate the redundant tool’s data, and set an owner for what remains. This is the part where experience pays off, because the risk is not technical — it is the institutional habit attached to each tool people are asked to give up.
Why avoid a big-bang migration?
Replacing everything at once is how consolidation projects fail. It overwhelms change capacity, stacks every migration risk into one window, and gives the organization one giant reason to resist. A staged approach moves one ecosystem at a time — say, work management first — proves the value, then uses that win to fund and justify the next phase.
Sequencing also protects the data. Migrating a CRM is not the same job as migrating a ticketing system, and each has its own field-mapping and history-preservation traps. Doing them serially means each migration gets real attention, and a problem in one does not cascade into the others. The aim is a coherent digital workplace, reached deliberately, not a forced cutover everyone remembers for the wrong reasons.
The takeaway
The SaaS graveyard is not a buying problem — it is a maintenance problem disguised as a buying one. You will not fix declining visibility by adding the right app, and you will not fix it by deleting apps at random either. You fix it by deciding which few platforms own which work, retiring what overlaps, and connecting what remains. Run the usage audit first, map your overlaps by function, and move one ecosystem at a time. The productivity you reclaim was never lost to a missing tool — it was lost in the gaps between the ones you already own.
