AI & Autonomous Enterprise · 2 of 6

Autonomous Enterprise Readiness

Twelve questions, four areas, no vendor logo. If the honest answers are uncomfortable, that discomfort is the roadmap.

The Autonomous Enterprise stands or falls on four preconditions: shared business context, unified data, embedded governance, and an operating model in which action follows insight without a queue. This self-assessment tests all four. Score each question red / amber / green — as a leadership team, not as an IT exercise.

1 · Shared business context

  • Can your systems trace how a decision in one function propagates into the next (order → supply → finance), without a human explaining it?
  • Are exceptions documented as rules somewhere a machine could read — or do they live in people’s heads?
  • Does any single team own the end-to-end process map, and is it current?

2 · Unified data

  • Do finance and operations answer the same question with the same number?
  • Is there one governed source for master data — or several, reconciled by hand?
  • How much of your reporting starts with a manual extract?

3 · Embedded governance

  • Is AI governance designed into processes, or reviewed after the fact?
  • For each automated action: is it explainable, auditable and reversible?
  • Who is accountable — by name — when an autonomous action goes wrong?

4 · Actionable operating model

  • Where does an insight today wait longest before someone acts — and why?
  • Which process could run signal-to-action without a hand-off tomorrow, safely?
  • Are people rewarded for coordinating work, or for moving it forward?

Reading your score

Mostly green: pick one end-to-end process and pilot coordinated autonomy there — you are past the experimentation phase. Mostly amber: your constraint is structural, not technical; fund the data and context work before more AI licences. Mostly red: the honest first project is a clean core and data-governance programme — autonomy on top of fragmentation automates the chaos.

Where this connects

The execution layer is AI agents in ERP; the data precondition is shared business context & unified data; the control layer is embedded AI governance. All tracks: Executive Clarity topic tracks.

Sources

  • Assessment criteria: sapperment editorial, informed by SAP's 2026 executive guide to the Autonomous Enterprise (vendor publication, read as market signal) and transformation-programme practice.

Editorial standard: facts, inference and point of view are kept separate. Published 2026-08-03 · By Andreas BORN.