AI-ASSISTED WORKFLOWS

Say it. See it.
Make sense of the work.

Use voice and imagery as business inputs, then bring structured information into the workflow. AI assists entry. People make the important decisions.

AI workflows
VOICE · VISION · WORKFLOW01 / 03
Example input

Create a paddy purchase. Net weight 20.44 tonnes, price CNY 2.78 per kilogram. Keep it as a draft.

RTSIllustrative draft
Information to reviewDEMO-001
Business type
Paddy purchase
Net weight
20.440 t
Example price
¥ 2.780 / kg
Illustrative amount
¥ 56,823.20
Awaiting human review
VRS AIAwaiting review
UMPIdentity & access

Preset illustration · Voice-assisted entry is planned

FROM INTENT TO DRAFT

A spoken instruction.
A clearer document.

Switch examples to explore assisted entry. These are preset illustrations with no microphone, model or live business API connection.

Example input
Create a paddy purchase. Net weight 20.44 tonnes, price CNY 2.78 per kilogram. Keep it as a draft.
VOICE → DRAFT

Information to review

Illustrative draft
Business type
Paddy purchase
Net weight
20.440 t
Example price
¥ 2.780 / kg
Illustrative amount
¥ 56,823.20

The amount illustrates field relationships. RTS calculates actual amounts using its business rules.

The counterparty, quality, warehouse and other business details still need to be completed and checked.

VOICE / VISION / SPEECH

Three capabilities.
Three distinct roles.

Priority roadmap

Voice-assisted documents

Transcribe speech and extract type, quantity and units into an editable draft. Missing details, ambiguity and sensitive actions require human review.

Existing API integration

AI vehicle recognition

RTS already integrates VRS recognition, candidate review and task management. Site performance depends on actual data and equipment.

Existing independent service

Text to speech

TTS turns business prompts into playable audio. It reads text aloud; it does not recognize what a user says.

HUMAN IN THE LOOP

Bring intelligent assistance
into a governed workflow.

  1. 01

    Input

    Describe the task or capture site imagery.

  2. 02

    Interpret

    Extract candidate information and retain the source.

  3. 03

    Review

    Verify key fields and complete real business details.

  4. 04

    Execute

    The business module checks permissions and rules before acting.

01

Create a draft first

Voice and recognition do not directly settle transactions, delete data or post inventory.

02

Make uncertainty visible

Show missing fields, conflicting candidates and uncertain recognition clearly.

03

Authorize every call

Service identity, module access and business permissions are verified separately.

IN PROGRESS

Where we are. Where we go next.

Existing foundation

The ecosystem already includes VRS vehicle recognition integration and TTS synthesis. A complete transcription, business interpretation and voice-entry workflow is a priority for the next stage.

Next steps

Add voice input within the UMP module contracts. Start with reviewable drafts, then integrate RTS validation and authorization. The speech service’s ownership, model and deployment need a separate decision.

LET’S BUILD YOUR WORKSPACE

Start with how you work.

Tell us how the team collaborates, which devices are on site and what matters first. We’ll work out the right combination of modules.

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Make the requirements clear.

Bring these details so we can discuss the right modules and implementation order.

  1. 01Which roles does the team have, and which modules should each role access?
  2. 02Which existing systems, devices and data need to be retained?
  3. 03What is the first problem to solve, and where should the initial deployment run?

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