Enterprise automation and SAP platform teams comparing RPA, test automation, migration utilities, and AI execution platforms.
Which automation layer should perform each job, and where policy, customer-local execution, human approval, reconciliation, and rollback must sit.
Decision context
SAP automation is a broad category. RPA reproduces interface interactions, test products execute scenarios, migration utilities move supported objects, and orchestration platforms connect workflows. The hard part is deciding which action can run automatically and which one needs a customer-controlled boundary.
Adranum coordinates specialized work across code, data, processes, tests, and cutover. Durable agent steps have retries and health state, but consequential decisions remain governed by role, policy, exact-plan approval, and evidence.
The platform is deliberately not an unrestricted production robot. It creates signed commands for a customer operator, stores aggregate outcomes and hashes, and requires reconciliation before accepting execution.
What the workflow must cover
Durable agent workflow
Persist every step, tool execution, retry, output hash, and approval so a long transformation can resume without losing its decision history.
Role-specific tools
Separate inventory, architecture, remediation, harmonization, process, validation, cutover, and evidence operations rather than giving one agent an undifferentiated production credential.
Policy and approval
Evaluate exact high-impact plans, hold them for named reviewers, expire approvals, and reject modified or replayed execution.
Customer operator
Keep raw service data and credentials inside customer infrastructure while the control plane receives bounded commands, hashes, and aggregate attestations.
Implementation workflow
Start with a bounded customer scenario and explicit acceptance criteria. Preserve native SAP permissions and accountable review while the software creates a repeatable evidence chain.
- Map automation jobs and side effects.
- Assign each job to the appropriate specialized system.
- Define customer-local and approval boundaries.
- Run representative plans in preview or dry-run mode.
- Execute, reconcile, and preserve recovery evidence.
Evidence to require
A transformation claim should resolve to observable artifacts, decisions, and execution receipts. Ask for the following evidence in a representative evaluation:
- Agent and tool identity
- Step state and retry history
- Policy decision
- Exact plan hash
- Reviewer and expiry
- Operator receipt
- Outcome and reconciliation
- Rollback state
Boundaries and non-claims
Adranum separates analysis, proposal, human review, package creation, customer-local validation, and production execution. A later state never rewrites the evidence that supported an earlier decision.
- Adranum is not a general desktop RPA product.
- Native platform permissions and least-privilege credentials remain required.
- High-impact actions should fail closed when their policy or customer operator is unavailable.
Buyer checklist
- What side effect can each automation stop or reverse?
- Can approval be reused for a modified plan?
- Where do credentials and raw rows live?
- How are partial executions reconciled?
- What is the tested failure behavior?