product · ai intelligence workforce
The AI Intelligence Workforce for business operations
An operations AI platform and AI workforce for back-office and ops — document AI for purchase orders and order management AI — that runs work still stuck in inboxes, spreadsheets, and chat. AI proposes; humans approve anything that ships or spends. Books stay in Tally or SAP. Manufacturing is where it was proven, not the limit.
- operations AI platform
- AI workforce for back-office and ops
- document AI for purchase orders
- order management AI
- A batch of customer POs that took ~8 hours of manual entry now takes about ~2 minutes of human review.
- 200+ hours of manual entry removed at the proving ground.
- AI proposes; humans approve anything that ships or spends. Books stay in Tally or SAP.
- Buyer: any company whose ops still live in inboxes, spreadsheets, and chat — manufacturing is the proving ground, not the limit.
- Different from finance-first ERP (SAP/Tally) and from bolt-on horizontal document AI: operations-first shared data model with human-in-the-loop.
the boundary
What it runs — and what stays in Tally or SAP.
It runs the daily operational work that finance-first systems handle clumsily, and leaves the books exactly where they belong. A greenfield SMB runs it instead of a heavy SAP rollout, keeping a lighter tool like Tally for finance.
PotionLabs runs this
- Customer & supplier orders (PO → SO)
- Procurement, approvals & signed POs
- Production capture & live OEE
- Quality & non-conformance registers
- Dispatch & export documentation
- The AI layer (extraction, drafting, ops assistant)
Stays in Tally / SAP
- General ledger, P&L, balance sheet
- Banking, payments & reconciliation
- Fixed-asset accounting & depreciation
- Statutory GST returns & e-invoicing
- Material-planning of record (MRP)
how it's built
Software that writes itself, and checks its own work.
Most operations software is hand-built once, then goes stale the moment the business changes. The AI Intelligence Workforce is built differently: the system does the building, and nothing it produces is trusted until it's been checked against the real source — a live PO, a live price list, a live production log.
Verified, not guessed
Every figure is checked against its source. Anything that can't be verified is flagged for a person instead of quietly assumed.
Built to keep up
When the business changes — a new customer format, a new approval step — the system adapts instead of waiting on a developer.
Humans hold the pen
The system drafts and proposes. A person approves anything that ships product, commits money, or leaves the company. Every time.
what it covers
What it covers, day to day.
One shared data model behind all of it, so work flows from a customer PO to production to dispatch to export paperwork instead of being re-keyed between disconnected tools.
Order Automation
Turn an inbound customer PO — in any format — into a validated sales order in about two minutes of human review.
Procurement
The full chain from indent to a director-signed purchase order, with the approvals and audit a real operation needs.
Production & OEE
Daily shop-floor capture with overall equipment effectiveness computed live, not reconstructed at month-end.
Quality & NCR
A non-conformance register that replaces the inspection team's spreadsheet and keeps a clean audit trail.
Export Documentation
The paperwork exporters actually live on, handled by a rule engine instead of by hand.
The AI Layer
Bundled into every deployment — the differentiator a generic operations system can't match.
the ai layer
AI reads the documents and drafts the busywork. Your people make every call that ships or spends.
Live AI extracts incoming purchase orders in any format, drafts customer replies and outreach, and answers operational questions through a conversational assistant grounded on your own products and history. A batch of orders that took 8 hours of manual entry now takes about 2 minutes of human judgement.
AI proposes
Extraction, drafts and suggestions are generated automatically — across heterogeneous customer formats.
Humans approve
Anything that leaves the company or commits money passes a person. Every time. Two gates on every PO.
Grounded, not generic
The AI draws on your own document formats and history, so it's sharper than a horizontal tool bolted on.
how we engage
Implementation-led, but templatized.
Pricing is scoped per customer and anchored well below the total cost of ownership of a SAP Business One rollout — with the AI layer included.
Discovery
A short, structured look at how orders, production and dispatch actually move through your floor today — reading your real documents, not a generic questionnaire.
Shaped implementation
The platform is configured to your document formats, approval chains and field names. Implementation-led but templatized — a priced engagement, not an open-ended consulting project.
Live, with AI bundled
Your team runs the operational core with the AI layer included from day one, and a conversational assistant as the fallback UI for anything they can't find a screen for.
questions
How the platform and modules actually work.
01How does PotionLabs turn a purchase order into a sales order?
It reads the incoming PO PDF in any format, detects which customer sent it, extracts every line item, validates the order against the quotation, delivery history or price list, and emits a structured sales order. The operator reviews the result instead of building it, and a batch of orders that used to take about eight hours of manual entry is done in minutes.
02What export documents does PotionLabs handle?
A rule engine produces the declarations exporters live on — RoDTEP, SCOMET, LUT, EPCG and duty-drawback — driven by your HSN master and the relevant country and scheme rules, then stamps them onto the right export documents and bundles dispatch packets.
03Is the AI layer included in every deployment?
Yes. Document extraction, drafted customer replies and outreach, and a conversational operations assistant grounded on your own data are bundled into every deployment. AI proposes; a person approves anything that ships product or commits money.
04How is PotionLabs implemented and priced?
Implementation is led but templatized: a short discovery of how your operations work, a shaped configuration to your documents and approvals, then go-live with the AI layer included. Pricing is scoped per customer and anchored well below the total cost of ownership of a SAP Business One rollout.
05What is an AI workforce platform for operations?
Software that runs daily operational work (orders, procurement, production, dispatch) with AI drafting and extracting, while people approve money and outbound actions. PotionLabs' AI Intelligence Workforce is one.
06Is PotionLabs document AI for purchase orders?
Yes: it reads inbound PO PDFs in heterogeneous formats, validates lines, and emits a structured sales order for human review.
07How is this different from AP automation or ERP copilots?
Scope is the operational core (order→production→dispatch), not AP invoice matching alone or a chat layer on a finance ERP. Books stay in Tally/SAP.
next step
Tell us how your operations run. We'll show you it running on PotionLabs.