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AI audit workshop

AI consulting

AI Consulting and Implementation Services

We find where AI pays off in your operations, then implement and integrate it.

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Tell us what you need. A consultant replies within one working day.

We reply from [email protected], usually within one working day. We do not add you to a mailing list.

01

AI consulting that ships, not a strategy deck

Most AI consulting ends with a slide deck and a list of use cases nobody owns. We start from your operations instead: where the hours go, which decisions wait on data, and which repetitive work a model can carry reliably. Then we build it.

As an AI consulting company that also implements, we take a use case from assessment to production: choosing the model, connecting it to your systems and data, putting a person in the loop where it matters, and measuring whether it saved the time it promised.

Working with a US team? Our AI consulting services for US businesses cover strategy, readiness assessments and governance, and our AI implementation consultants take the agreed use cases into production.

Where AI fits into an operating workflow

02

What our AI consulting covers

  • AI opportunity assessment

    A structured look at your workflows to find the three or four places AI saves real time, ranked by value and effort.

    • Workflow and data review
    • Use cases ranked by payback
    • A costed implementation plan

  • AI strategy and roadmap

    Which use cases to do first, what data they need, build or buy, and how to govern it, in a plan your team can execute.

    • Build versus buy per use case
    • Data readiness gaps named
    • Governance and review rules

  • AI implementation

    The chosen use cases built and running: document processing, drafting, classification, forecasting or agents.

    • Model selection and prompting
    • Evaluation against real examples
    • Human review where errors are costly

  • AI integration services

    AI connected to the systems you already run, so results land in your CRM, ERP, inbox or database instead of a separate tool.

    • APIs, webhooks and scheduled jobs
    • Your data stays in your systems
    • Logging of every AI decision

  • Governance and safety

    Clear rules for what AI may do alone and what needs a person, with sensitive data handled deliberately.

    • Human-in-the-loop checkpoints
    • Access and data-handling rules
    • Cost and quality monitoring

  • Measuring the return

    Every implementation is measured against the baseline it replaced, so the next investment is based on evidence.

    • Time saved per task
    • Error and override rates
    • Monthly running cost

03

From assessment to production

Assess

We map the workflows and data behind your candidate use cases and rank them by payback.

Prove

The top use case built against your real examples, with accuracy measured before anyone relies on it.

Integrate

Connected to your systems, with human review where the cost of an error is high.

Measure and extend

Results against the baseline, then the next use case on the roadmap.

04

AI consulting questions

What does an AI consulting company actually do?
It helps you decide where AI is worth using, then helps you put it to work. Some firms stop at advice; we implement as well, because most of the risk sits in the integration and the edge cases, not the idea.
Where should a mid-sized company start with AI?
With a repetitive, high-volume task that already has examples of good output: document processing, drafting replies, classifying requests or reconciling data. These pay back fastest and teach the organisation how AI behaves.
Which AI models do you use?
Whichever fits the task and your data rules: models from OpenAI, Anthropic, Google and open-source options. We choose per use case and measure them on your own examples.
Is our data safe?
We use business API and enterprise offerings that do not train on your data, keep data in your own systems where possible, and agree data-handling rules before any build starts.
How long does an AI implementation take?
An assessment takes about two weeks. A first use case is usually weeks rather than months, depending on how clean the underlying data is.

Start with an AI audit

We review your workflows and come back with the use cases worth doing, what each would save, and what implementing them takes.

A reply from a consultant, usually within one working day.

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