Asle Data Labs

Approach

We start by watching how the work gets done

AI and data tools only help when they’re aimed at a problem someone can describe. That’s where we begin, and we finish when your own people can run what we’ve built.

How an engagement runs

From the first conversation to handover

  1. 01Understand

    We hear how the problem looks to managers and to the staff doing the work, and agree what a good result would be.

  2. 02Diagnose

    We go through the evidence (reports, data, documents, the workflow itself) and write down what we found and what we’d do.

  3. 03Implement

    We do the agreed work with your staff involved throughout, and test it on real cases before anyone relies on it.

  4. 04Hand over

    We document it, train your people and agree how it’ll be checked, so it keeps working after we’ve gone.

Principles

What you can hold us to

We start with a problem you can name

We won’t turn up with a tool and look for somewhere to put it. Every piece of work starts with a problem written down in plain business terms.

We fix the process before we automate it

Automate a bad process and you get the same bad process, only faster. So we simplify it first.

We judge tools by what they change

A dashboard, a model or an automation is worth exactly the decision it improves or the hours it saves.

We keep the first step small

Every service starts with a short review or conversation, so you can see how we work before you commit to anything bigger.

We leave you able to carry on

We write down what we build and train the people who’ll own it.

We tell you when we don’t know

Or when something isn’t worth doing, or isn’t something we’re good at.

How the services connect

One improvement shows you the next

You can start anywhere. Training tends to turn up the repetitive work. Automating it produces better data. The data shows where the process is broken, and fixing the process shows what else is worth automating.

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 it’s like to work with us

  • Every stage ends with something you can use, even if you stop there.
  • Scope, price and deliverables are agreed in writing before any work starts.
  • Your information stays confidential and is used only for the work you hired us for.
  • We use the systems you already have wherever we can. We don’t sell software.

Request an Operating Review

Start with one problem

Tell us which part of the organisation you’d like us to look at and what’s going wrong there. We’ll reply to agree the scope and a fixed fee before anything starts.

  1. Within two working daysAn email back from someone who’s read your message properly.
  2. A 30-minute callTo understand the problem and whether we’re the right people for it.
  3. Within a week of the callA written scope and a fixed fee. You’re under no obligation to go ahead.

By email

Write to info@asledatalabs.com with your name, organisation and role, and tell us: which area should we look at, and what’s going wrong there?

Request an Operating ReviewWe use your details only to reply to you. See the privacy notice.