Flow-based orchestration
Securing the non-human layer
A connector model that fits their broader stack
Handling machine-to-machine scope control at high volume
Responsiveness as an engineering partner
Rishi adds:“ Descope was brought in to bring Collectors’ three login
experiences onto one platform and to run the migration without disrupting millions of existing users. The outcome is a single orchestration layer that now covers consumer federation, partner authentication, admin SSO and machine-to-machine traffic, with room to keep building on top.”
Flow-based orchestration
For Rishi, a traditional identity rebuild locks authentication logic directly into application code.
“ Every time you want to change a journey, add a step or support a new brand or partner, you are back in an engineering cycle,”
-Rishi Bhargava
Instead of writing and maintaining separate logic for different user profiles, modern systems assemble journeys visually.
“ The building itself happened in flows rather than in code,” Rishi notes.“ When a new requirement showed up, Collectors adjusted a flow instead of opening a new engineering project. For a small identity team, that is the difference between a rebuild that consumes the roadmap
for months and a rollout they could realistically staff.”
As a result of this visual architecture, identity teams are able to take ownership of logic directly, while creating realtime updates and pushing changes to production without waiting for core applications to be released.
Securing the non-human layer
Human authentication is only part of the identity security equation.
Rishi comments:“ Human login is only part of what Collectors run. They already handle millions of machine-to-machine exchanges, so non-human identity is a first-class concern for them.
“ Our platform treats machine credentials and scopes with the same rigour as human authentication, which lets Collectors operate at scale with control over what each service can do.”
Agentic AI is also described as“ the next step in that same direction”. For example, as more companies begin to let AI agents act on behalf of users and systems, Rishi notes that“ agents need their own identities, scoped permissions and shortlived credentials.”
Learn more