Service · AI/ML

Automation on your data and rights — not a chatbot sticker.

Documents, workflow copilots, forecasting, operational vision, and evaluation guardrails. A model may act only inside the user’s rights. ScrumtifyAI as a product is coming; this work can start now.

AI/ML subservices

Select a card to see scope, examples, and the working sequence.

AI/ML subservices

Document intelligence

Extraction that enters the system of record after review. Not a PDF pile plus chat.

What we hand over

  • Document-to-fields pipeline
  • Human review queue
  • Trace back to the source record

Engagement types

  • Invoices into accounts payable
  • Delivery notes into warehouse
  • Contracts into required fields

Subservice sequence

  1. 01Document typesTemplates, exceptions, language.
  2. 02Extract + evalAccuracy on a real set.
  3. 03PlantReview queue, then write to the system.

Who it is for

Operations and finance that want to cut routine work without losing an audit trail or control of the system of record.

Finance ops

Finance-ops documents

Invoices and delivery notes become reviewed rows, then enter the system.

Retail

Demand hints

A planning aid for multi-outlet stock — humans still decide.

F&B / retail

Outlet SOP copilots

Answers from SOP and branch data, with citations, not invention.

AI/ML workflow

  1. 01Decision and riskWhich decision, who owns a miss, what must never be automatic.
  2. 02Data and rightsSources, permission, retention. The model does not see what the user may not.
  3. 03Prototype plus evalTest on real documents/cases before it is planted in the flow.
  4. 04Plant in the workflowInside the existing job, not a separate chat tab.
  5. 05Monitor and boundLogs, human fallback, model swaps without breaking the contract.

Work types

Finance ops

Invoice capture into finance

Documents become reviewed rows, not a chatbot that ‘summarises’.

Retail

Demand hint for stock

A planning aid for multi-outlet stock — humans still decide.

F&B / retail

Outlet-manager SOP copilot

Answers from SOP and branch data, with citations, not invention.

Maju Solusi Nusantara.

Have routine work worth binding to a model?

We start from the decision and the risk, not from a model demo.