AI Integration with ERPNext — GreyCube Technologies

AI Integration

Bring AI to ERPNext — grounded in your own data.

Ask your ERP questions in plain language, connect Claude or ChatGPT to it, or let AI read a document and do the work — all grounded in your records and bound by your existing permissions.

Grounded in your dataAnswers come from your ERPNext records, not guesses
No vendor lock-inOpenAI, Claude, Gemini — switch by config

Ways we add AI

Ways AI meets your ERPNext

From a chat window over your data to agents that act on it — we start where the payback is clearest. Three levels; pick where you are.

Level 1 · Ask

Ask

An AI assistant inside ERPNext. Department and process heads get operational insights in plain language — no custom reports to build.

Best for everyday ERPNext users who just want answers.

Level 2 · Reach

Reach

Connect ChatGPT or Claude to ERPNext via MCP. Management queries team activity and operations from their own AI chat window — and blends ERPNext data with outside sources, without logging in daily.

Best for CXOs and leadership who live in their AI chat.

Level 3 · Act

Act

AI embedded in your workflows that reads a document and does the work — a CV becomes a scored candidate, a JD becomes a structured requisition.

Cut hiring time 60% on our recruitment build.

What we build

AI that does real work in your ERP — not a demo

Features tied to your doctypes, your workflows and your data.

Conversational analytics

Ask your ERPNext data questions and get answers — instead of raising custom report requests.

ERPNext from your AI platform

An MCP connector so Claude or ChatGPT can read authorized data on demand.

Document → Structured data

Parse documents (PDF/Word, with OCR fallback) into real doctype fields: key details, relevant fields, insights, and metrics.

Generation on tap

AI-powered generation of process-specific questions, content, checklists, evaluations, reports, and insights—available on demand.

Scoring & evaluation

Evaluate records against defined criteria, combine multiple data sources, and let scores trigger workflows.

How we keep it trustworthy

AI you can actually rely on

The difference between a demo that impresses and a system your team trusts with real work.

Your permissions, enforced

AI follows your existing Frappe roles — it can't touch data the connected user isn't authorized to see.

Confirmation before it acts

Any sensitive or data-changing action needs explicit user sign-off before it runs.

Fully audited

Query logs and per-user token tracking, so you always know who asked what.

Clear on data flow

Only the relevant messages and ERPNext data go to the AI provider you choose — and nothing else.

How we work

How an AI feature ships

Small, safe and tunable — so it earns its place before it scales.

01

Start where payback is clearest

One high-volume workflow first — not a boil-the-ocean rollout.

02

Prompts as config, not code

Stored in Site Config or doctype fields, so you tune behaviour without a deploy.

03

Swap providers without a rewrite

A single toggle changes model or vendor; whitelisted functions stay the same.

04

Upgrade-safe by design

We extend Frappe's low-code layer rather than fork core, so a version bump doesn't break the AI.

Under the hood

The stack we build on

Proven building blocks for AI that has to be accurate, permission-safe and affordable to run.

Frappe FrameworkREST API, whitelisted functions, hooks & background jobs
Provider layerOpenAI, Claude, Gemini — selectable per site
MCP connectorBridges Claude & ChatGPT to ERPNext
Config-driven promptsPrompt text & provider live in Site Config
Native permissionsFrappe roles are the security boundary

Wondering where AI actually fits in your ERP?

Tell us a high-volume workflow that eats your team's time — we'll tell you honestly whether AI helps, how we'd ground it in your data, and what it takes to ship. No hype.