Input C, AI

AI automations: AI automation for business workflows

Routine work that runs itself, and asks a person when it should.

WhiteHat Design Studio builds automations that read what comes in, work out what it is, do the routine part and hand the rest to a person. SceneScribe already chains language model agents to turn a spoken question and an image into a spoken answer. The same engineering can handle an enquiry, an invoice or a daily report.

Routine work that runs itself

What it will look like.

One job from start to finish, on the kind of screens we build. Press a step to stop on it.

Sample data. It shows the kind of thing we build, not a client’s system.

Who it is for

  • Owners and operations leads

    The worry Hours lost copying between inboxes, sheets and systems.

    What we do We map the work, automate the routine steps and leave the decisions with your people.

  • Sales and support teams

    The worry Enquiries that wait until someone is free.

    What we do A message gets read, matched to the customer and answered in a draft your team can approve.

  • Product teams adding AI

    The worry A demo that works on three examples.

    What we do We test on your own messages and documents, and we show you what it got wrong.

What we build.

Enquiry handling, document reading, data entry between systems, reports and approvals, built on language models and joined to the tools you already use.

  • Enquiry handling

    Messages from WhatsApp, email and web forms are read, sorted and matched to the customer, and a reply is drafted.

  • Document reading

    Invoices, forms and reports turned into clean records your systems can use.

  • Agents and assistants

    Language model agents that look things up and take the next step. SceneScribe chains agents to answer a spoken question about an image.

  • Joining your systems

    Data moves between the tools you already use, so nobody retypes it.

  • Reports

    Daily or weekly reports written from your own records, in the format you already read.

  • Approvals and logs

    A person signs off the steps that need one, and every run leaves a record you can check.

Switch it off.

An input on its own is not a product, and a product without AI automations is not finished either. Try it.

Switch AI off and see what happens to the product. The other inputs link to their own pages.

Output Y = 1

It works, and customers are using it.

Evidence.

SceneScribe is the nearest published work, with language model agents in a chain. We have no business automation to publish yet. One will appear here once a client agrees.

A person wearing the SceneScribe headset and holding a white cane, standing in a white corridor.

Prototype, assistive technology

SceneScribe

Describes what the camera sees, in answer to the wearer's own question, through earphones.

A hardware, B software, C AI
How SceneScribe fits togetherThe wearer presses a button and asks a question into the microphone, and the headset camera captures the scene. The question becomes text. An explainer agent reads the image with the question, a wellness agent works on the reply, and text to speech plays it through the earphones. Separately, the cane, with an ESP32 for obstacle detection, connects to a Wi-Fi access point that the headset's Raspberry Pi creates.Wi-FiButton, microphoneThe wearer'squestionHeadset cameraThe scene infront of themSpeech to textThe question as textExplainer agentReads the image withthe questionWellness agentWorks on the replyText to speechSpoken through earphonesCane, ESP32ObstacledetectionHeadset PiIts own Wi-Fiaccess point

How it connects.

An input on its own is not a product. These are the places AI automations meets the rest.

  • Automations and hardware

    An event on a machine can start a run. A fault on the line opens a record and reaches the right person, without anyone retyping it.

    Hardware

  • Automations and software

    An automation is only as good as the systems it joins. We build those too, so the two fit.

    Software

  • Automations and growth

    Growth brings the enquiry in. Automation makes sure it is read and answered, and the report shows what happened to it.

    Growth

What we do not do

  • We do not quote a model's accuracy without the data and conditions it was measured in.
  • We do not ship a model that has only seen its training set. It is tested on data from where it will run.

Guides from this work

  • What tasks can be automated with AI?

    Automate work with a clear input, a repeatable result and a way to check it: reading an enquiry, filing a document, writing a routine report. Keep a person on anything that is costly to get wrong. Start with one task, test it on your own messages and documents, and look hard at what it gets wrong.

Questions buyers ask.

Will it replace my team?

It takes the routine steps. People keep the decisions, and you choose which steps need a person to sign off.

What can be automated?

Work with clear inputs and a repeatable result, such as reading an enquiry, filing a document or building a report. We map the work first and tell you what is worth automating.

Where does our data go?

We agree that before we build. A language model can run with a provider or on your own hardware, as HARP runs its model on the robot itself.

How do we know it works?

We do not ship a model that has only seen its training set. It is tested on data from where it will run.

Do we own it?

We do not lock you into our hosting. The code, the database and the accounts are in your name.

Tell us what has to work.

One sentence is enough. An engineer will reply.

    Arrow keys move, Enter opens, Escape closes.