AI ERP implementation checklist

Owner and scope: one executive sponsor, one accountable process owner, named data and security owners, a bounded first release, success metrics, budget, timeline, exclusions, and go/no-go authority.

Process and data: current and target flows, normal and exception states, approvals, data dictionary, deduplication, units, opening balances, archive policy, reconciliation, integration contracts, and an authoritative source map.

People and operation: role-based training, support routes, cutover rehearsal, rollback criteria, monitoring, backups, exports, incident runbooks, vendor escalation, and a named post-launch product team.

Reconcile migrated counts, totals, inventory, open transactions, and sampled records to the old authority; technically imported data that users do not trust is a failed migration.

Prove least privilege, segregation where required, approval, idempotency, concurrency, audit, export, restore, integration retry, and behavior when a provider or model is unavailable.

Have real users complete their work without coaching. Track time, errors, workarounds, escalations, and whether the new path is genuinely easier than Excel or the old system.

Prostir Team currently provides an early-access private boundary with members, Tasks, Goals, logical Data, versioned Files, cited Knowledge, Skills, Team tools, MCP connections, and attached existing Agents.

That foundation can support one distinctive operating process. The packaged CRM, Operations or ERP control plane, BPM, durable Agent task execution, approval and cost ledgers, and broader Operator automation remain planned.

Keep accounting, payroll, tax, inventory valuation, payments, and statutory reporting in the proven system that owns them. Prostir can be evaluated as the custom collaboration and AI-action layer around that authority, not as a completed statutory ERP.