Asle Data Labs

Approach

Start with the problem, not the technology

AI and data tools are useful only when applied to a problem someone can describe. Our work begins there and ends when your own people can run the result.

How an engagement runs

Four steps

  1. 01Understand

    We listen to how the problem shows up for managers and for the staff doing the work, and agree what a good result looks like.

  2. 02Diagnose

    We examine the evidence, whether reports, data, documents or the workflow itself, and set out in writing what we found and what we recommend.

  3. 03Implement

    We carry out the agreed work with your staff involved throughout, testing on real cases before anything is relied on.

  4. 04Hand over

    We document, train and agree how the result will be monitored, so the improvement does not depend on us.

Principles

What we hold to

A defined problem first

We do not start with a tool and look for somewhere to use it. Every engagement begins with a problem stated in business terms.

Fix the process before automating it

An inefficient process that is automated stays inefficient, only faster. We simplify first.

The tool is not the product

A dashboard, a model or an automation is worth only the decision or the time it improves.

Small, bounded first steps

Each service begins with a review or conversation of limited scope, so you can judge the work before committing to more.

Leave you able to continue

We document what we build and train the people who will own it.

Say what we do not know

If something is not worth doing, or is outside what we do well, we will tell you.

How the services connect

One improvement shows you the next

You can start anywhere. Automation, analysis and process work feed each other in a loop, and training is often where the first opportunities surface.

AI Training exposes repetitive work, which leads to AI Workflow Automation. Automation produces better operational data for Business Data Analysis. Analysis exposes operational problems for Business Process Optimization. Process work identifies what is worth automating, which leads back to AI Workflow Automation.AI WorkflowAutomationBusiness DataAnalysisBusiness ProcessOptimizationAI Trainingproduces betteroperational dataexposes operationalproblemsidentifies what isworth automatingexposesrepetitive work
  • AI Training exposes repetitive work worth automating.
  • AI Workflow Automation produces better operational data.
  • Business Data Analysis exposes operational problems.
  • Business Process Optimization identifies what is worth automating.

Working with Asle

What to expect

  • Senior attention from first conversation to handover.
  • Scope, price and deliverables are agreed in writing before work starts.
  • Your information is confidential and used only for the engagement.
  • We work with the systems you already have wherever possible, and we do not sell software.

Request an Operating Review

Start with one problem

Tell us which part of the organisation you want reviewed and what is going wrong there. We will reply to agree the scope and a fixed fee before anything starts.

Every enquiry gets a considered reply from a senior person, not a sales sequence

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