Introducing Aidoqo Signal: cloud, AI, data and security in one monthly read.Read Issue 01
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AI that does real work in your business

We put AI to work on the operations your people already do: watching cameras, closing the books, answering customers and finding answers in your documents. Measured from day one, with people in control.

Explore what AI can do

Six ways we use AI in business operations. Pick one to see the use cases and how it works.

Turn the cameras you already have into a team that never looks away.

We connect to existing IP cameras and recorders and run computer vision on each stream. Instead of hours of footage nobody watches, you get alerts for the events that matter, sent to the person who can act.

  1. Camera streams are read from your recorder over RTSP or ONVIF
  2. Vision models detect people, vehicles and objects on-site
  3. Rules decide what matters at each camera and time of day
  4. Alerts go to WhatsApp, the helpdesk or a control-room screen
Built withYour existing IP camerasComputer vision modelsAidoqo POSn8nWhatsApp Business
After-hours intrusionAlerts when someone enters a site, store room or yard outside working hours.
Till and counter watchFootage at the till matched against POS voids, refunds and drawer openings.
People and queue countingFootfall by hour and queue length, so staffing follows demand.
Safety and PPE checksFlags missing helmets or vests and people in restricted zones.
Number-plate recognitionLogs vehicles at gates and depots against an allowed list.
Search by eventFind "white truck at gate 2 yesterday" without scrubbing video.

From idea to a working pilot

We start small, on one process, with a baseline, so you can see the result before you scale.

  1. Pick the process

    One task that costs real time or money, and the numbers that show it today.

  2. Build

    Connect the data and systems, and set the rules for what needs a person.

  3. Pilot with real users

    Run it alongside the current way of working and collect feedback.

  4. Measure and decide

    Compare against the baseline. Scale it, change it or stop it.

How we keep AI safe and useful

Your data stays yoursPrivate deployments and models on your own servers when data must not leave the building.
People approve actionsAI drafts, matches and flags. A person approves anything that moves money or affects a customer.
Everything is loggedWhat the AI saw, what it suggested and who approved it, ready for auditors.
Measured against a baselineEvery use case has a before number, so the benefit is shown, not claimed.
Built withn8nOpen models on your own serversLeading cloud AI modelsComputer visionWhatsApp BusinessERPNext and Frappe

Tell us what is slowing you down

A 30-minute conversation with a solutions architect. No slides, no obligation, a clear next step.

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