Skip to main content

Role Mapping

AI-powered persona generation and intelligent role mapping. From source system export to target role assignment, with confidence scoring and human review at every step.

The Challenge

Spreadsheets don't scale.

A mid-size enterprise migration involves 5,000 to 50,000 users, each with a unique set of transaction codes and role assignments. Mapping each user individually is not feasible within the timelines most migration programs operate under.

Organizations frequently resort to one-to-one role conversions that replicate legacy access patterns in the new system, preserving over-provisioned access and introducing compliance risk that surfaces months later during audit.

The manual approach

3–6 months of mapping effort per engagement
Version control is informal at best
Provenance of decisions rarely traceable
Over-provisioned access replicated in new system
Compliance issues surface during post-migration audit
Stage 1

AI-powered persona generation

Provisum's AI engine analyzes each user's permission set at the transaction level and clusters users with similar access patterns into security personas. This is not a role-level comparison — it examines the specific permissions and transaction codes each user holds.

95–98%
Reduction in mapping entities
10,000 users become 200–300 personas. Map personas, not individuals.
85–90%
First-pass AI accuracy
Confidence scoring flags low-certainty assignments for human review.
100%
Attribution coverage
Every AI suggestion is visually distinguished and logged with reasoning.
Stage 2

Intelligent mapping workspace

Auto-map identifies the minimum set of target roles that covers each persona's permissions while enforcing least-privilege access. Coverage metrics and over-provisioning indicators provide immediate feedback on mapping quality.

Composite confidence scoring

AI reasoning, permission overlap analysis, and historical acceptance patterns combine into a single confidence metric. Mappers focus review effort where it matters most.

User-level refinements

Where individual users within a persona require different access, mappers apply user-level refinements without disrupting the broader mapping.

Gap analysis

Permissions that exist in the source system but have no equivalent target role are identified automatically, generating structured feedback for the security design team.

Coverage metrics

Real-time indicators show how much of each persona’s source access is covered by the assigned target roles, with over-provisioning alerts for excessive grants.

See role mapping in action with your own data.

Ready to map
with confidence?

See how Provisum handles your migration — with your data, your rules, your timeline.