SolidSynQ العربية

Make AI useful.
Make work flow.

Connect everyday business tasks and industrial operations with practical AI. Clear inputs, human approval and outcomes you can measure.

Explore the workflows
Illustration of an industrial sensor with operational data on a tablet

BUSINESS AUTOMATION

From enquiry
to quotation.

Turn scattered requests into a structured, reviewable quotation workflow.

  1. Capture
  2. Prepare
  3. Approve
  4. Send
Explore business AI

INDUSTRIAL AUTOMATION

From production
to maintenance.

Connect machine signals with the people responsible for the next action.

  1. Monitor
  2. Detect
  3. Review
  4. Act
Explore industrial AI

Illustrative workflows, not completed projects. Implementation depends on assessment and an agreed scope.

The examples below describe possible solution designs. Outcomes are measures to track, not promised results.

Enquiry → reviewed quotation

Problem
Enquiries arrive through different channels. Details are copied repeatedly and quotations wait for missing information.
Inputs
Approved enquiry channels, product catalogue, current price rules, stock information and CRM records.
Workflow
Capture the request → extract requirements → flag missing details → prepare a draft → route to the responsible reviewer.
Human approval
A person confirms product suitability, pricing and commercial terms before any quotation is sent. Exceptions return to the owner.
Measure
Time to a reviewed draft, manual re-entry, correction rate and enquiry follow-through. Establish a baseline first.

Production signals → maintenance action

Problem
Machine information is fragmented, so recurring issues are hard to spot and maintenance handoffs are inconsistent.
Inputs
Compatible sensors, machine or PLC data, maintenance history, shift context and approved operating thresholds.
Workflow
Collect signals → check data quality → detect an agreed condition → create a reviewable alert → record an approved maintenance task.
Human approval
An authorised operator or engineer validates alerts and approves interventions. Automated machine control requires a separate safety assessment and scope.
Measure
Alert usefulness, review time, unplanned downtime and maintenance completion. Compare like-for-like periods.

More places to start.

Purchasing approvals, inventory exceptions, document assistants with source references, management reporting and assisted quality inspection. Each begins with access rules, evaluation criteria and a person accountable for decisions.

Useful automation.
People still in control.

Give AI a defined task, approved sources and a clear handoff. Keep pricing, commitments, technical decisions and critical interventions with an authorised person.

See how we deliver

A LITTLE MORE CLARITY

Before you automate.

Do we need to replace our existing systems?

Not necessarily. Assessment starts with your current software, equipment and data. Integration options and any limitations are reviewed before recommending changes.

How do you measure whether it helps?

Agree a baseline and useful measures before implementation: time spent, corrections, follow-through, alert quality or reliability. Review the results alongside running costs.

Can we start with a small workflow?

Yes. A clearly bounded workflow can be a sensible starting point. Its inputs, owner, approval steps and acceptance criteria still need to be defined.

One challenge.
A better-connected solution.

Let’s find a practical starting point for your project.

Discuss your project

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