Skip to content

IT, Cloud & Software

Applied AI

Document processing, assistants and decision support, scoped to measurable savings rather than novelty.

Overview

Most AI projects fail the same way: an impressive demonstration, no measurable process behind it, and quiet abandonment six months later.

We only take AI work where there is a countable process to improve, a baseline to measure against, and a human accountable for the output.

What is included

  • Use-case identification and value assessment
  • Baseline measurement before any build
  • Document extraction and classification
  • Internal assistants over your own knowledge base
  • Decision support and triage tooling
  • Human-in-the-loop review workflows
  • Evaluation harnesses and accuracy monitoring
  • Cost, privacy and model governance

How we run it

  1. 01

    Scope

    Pick a process with a countable baseline, and measure it before building anything.

  2. 02

    Build

    Build a narrow pilot with an evaluation harness attached from day one.

  3. 03

    Launch

    Deploy with human review in the loop and monitored accuracy.

  4. 04

    Measure

    Compare against the baseline, and stop if the numbers do not justify continuing.

Questions

Before you enquire

Will AI replace our staff?
In our engagements it removes repetitive handling so staff spend time on exceptions. We scope for that outcome explicitly.
What about our confidential data?
Data handling, retention and model access are agreed at scoping, and we design to keep sensitive material inside your boundary where required.
What if the pilot fails?
We report it and recommend stopping. A cheap, measured failure is a good outcome compared to a long unmeasured one.

Often bought together

Next step

Need applied ai?

Tell us what you are trying to achieve and by when. We will come back with scope, price and an honest view on fit.