Platform Overview

An ERP System for Manufacturing: Fourteen Modules, One Database

ianaiERP is AI ERP software that connects manufacturing, distribution, finance, field service and projects in one system, from repetitive production to custom manufacturing. Built-in AI supports planning and workflow automation, while AI Financial Officer helps your team investigate financial issues, review cash flow, and organize month-end close.

ERP Modules for Manufacturing and Distribution

Each module has its own page. All of them share one database, one login and one item master.

Six systems your competitors

buy separately

One database, one login, one version of the truth — no middleware, no nightly sync, no reconciliation

Downtime moves the schedule

Mark a critical machine down and the work center loses those minutes, affected work orders reschedule, and the sales orders now at risk are named. In a separate maintenance tool, someone has to notice and retype it.

Operations are accounting

A receipt, an issue to a work order, a shipment and a payroll run all post to real-time financials as they happen. There is no interface file and no month-end reconciliation between systems.

Shortages carry a price tag

Material planning knows which sales orders each shortage threatens, so it can tell you the revenue at risk instead of just a negative number in a bucket.

The floor feeds the cost report

Operators start and end operations on the job, so actual labour and machine time land directly in job costing — the same hours that reach the payslip.

Options reconfigure the build

What the customer selects on a configure-to-order, engineer-to-order or make-to-order job generates that unit's bill of materials and adjusts the routing, so quoting, engineering and the shop floor never diverge.

One record, every module

An item is one item — to purchasing, the warehouse, production, planning, maintenance and accounting. No mapping table, no sync lag, no arguing about which system is right.

What Sharing One Database Actually Buys You

The differences you only notice when the modules were built together.

No integration project

The modules were designed together rather than acquired and joined afterwards, so there is no middleware layer, no nightly synchronisation job and no field-mapping document for someone to maintain. The integration work most ERP programmes budget for simply is not there.

  • No middleware to own
  • No nightly sync to babysit
  • No mapping tables between modules

One number, not several versions of it

On-hand quantity, work-in-progress value, labour cost and inventory accuracy each exist once. Nobody has to decide which system is authoritative, because there is only one, and reports do not disagree with each other.

  • A single stock ledger
  • A single general ledger
  • No cross-system reconciliation

Effects travel automatically

A late receipt pushes a work order, which moves a promise date, which flags a sales order at risk. Machine downtime consumes capacity, which reschedules operations. These are not reports you run — they are consequences that propagate.

  • Shortages trace to sales orders at risk
  • Downtime consumes work-center capacity
  • Rescheduling cascades through the routing

Configuration instead of custom development

Custom fields, scripts, workflow automation, configurable item options and a page builder are part of the product. Ordinary change requests are something your own team does, rather than a scoping call, a quote and a developer.

  • Nine custom field types including calculated
  • Scripts on twenty-one entity types
  • Workflow automation with human approval steps
Explore customization

Global from the start

Multiple legal entities, currencies and jurisdictions are how the data model is built, not a module added later. Exchange rates update automatically and cross-entity reporting consolidates without a spreadsheet.

  • Multi-entity and multi-currency native
  • Automatic exchange rates
  • Consolidated cross-entity reporting

Live in about 8 weeks

Because implementation is AI-led — the AI reads your existing data and documents to build the configuration, an AI project manager runs the rollout, and migration is AI-mapped — go-live takes about 8 weeks rather than the 12 to 24 months a legacy programme needs.

  • AI builds the configuration from your data
  • AI project manager owns the backlog
  • Parallel run rather than a big-bang cutover
See how implementation works

AI connected to your operations

AI works with your ERP's operational and financial records, giving your team context for the next decision.

AI for everyday work

Bring business questions, planning, and recurring workflows into the same environment as your inventory, purchasing, production, and sales.

  • Ask questions about business records in natural language.
  • Use forecasting and planning tools to review demand and production needs.
  • Build workflows that connect ERP records, approval steps, and other applications.
Explore workflow automation

AI Financial Officer

Give your finance team an AI colleague for investigation and follow-through, alongside ianaiERP's built-in accounting. Findings and suggested next steps are available for your team to review; irreversible financial actions require human approval.

  • Investigate unusual transactions with supporting source records.
  • Explore 13-week cash-flow projections and payment timing.
  • Organize budgets, financial risks, and month-end close.
Explore AI Financial Officer

A suite is several products sharing a logo. A platform is one product. The test is simple: when a machine goes down, does your schedule change by itself, or does someone have to notice, open another system, and retype it?

Built together, not acquired and stitched

One database across ERP, MES, WMS, MRP, equipment and HR

AI ERP software

See the full platform in action

Schedule a personalized demo and discover how ianaiERP can streamline your entire operation.