How to build a custom ERP with AI

Choose one expensive loop such as quote-to-delivery, custom purchasing, field-service approval, production exception handling, or client onboarding. Write its trigger, actors, records, states, exceptions, approvals, outputs, and metric.

Keep statutory and transactional authorities explicit. Your accounting, payroll, tax, payment, or inventory system can remain the source of truth while the custom layer coordinates the unusual work around it.

Give the coding Agent a repository, typed contracts, examples, security rules, acceptance tests, and commands. A vague prompt produces a plausible demo; a bounded specification can produce a reviewable change.

The model does not decide identity, data scope, payment, ledger, stock, permission, or statutory truth. It requests a typed action whose owner validates every effect.

Never give an untrusted prompt unrestricted production credentials, network access, secrets, or migration authority. Use least privilege, sandboxing, review, and explicit approvals.

Generated code needs dependency review, security scanning, observability, backup, export, runbooks, incident ownership, and a budget for model, API, and software changes.

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.