
Technical debt is easy to spot in code. Messy logic, quick fixes, brittle scripts—it all adds up until every enhancement takes longer than it should.
But there’s another kind of debt slowing identity teams down. Identity debt—the accumulated complexity that forms when access policies, provisioning logic, and review workflows get scattered across multiple tools, each with its own connectors, data models, and maintenance paths.
Most IAM teams don’t set out to create identity debt. It creeps in slowly:
Each of these decisions feels small in the moment. But at scale, they create an identity layer that’s harder to change, slower to respond, and costly to maintain.
Architects feel the impact first. When the business needs a new onboarding flow or compliance requires a new access review format, every adjustment requires touching multiple systems, revalidating logic across each, and hoping nothing breaks downstream.
Over time:
And suddenly, Identity isn’t accelerating the business. It’s holding it back.
When identity runs inside the same workflow platform the business already uses, something shifts. Architects stop stitching systems together and start designing flows. Instead of customizing integrations, they orchestrate processes that already share a common data model and operational layer.
That’s the difference between adding another identity tool and building identity into the way the organization already works.
Less integration. Less maintenance. Less drift.
Most IAM leads don’t want another tool to manage. They want:
That’s what eliminating identity debt unlocks.
In the next article, we’ll look at how identity teams are proving value fast — not with massive rip-and-replace projects, but with targeted 90-day wins like automated access reviews and SoD visibility using systems already in place.
Then, in part three, we’ll explore how cleaning up architecture today sets the foundation for AI-driven governance and machine identity management tomorrow.