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AI consultancy without hype.

Practical advice on where AI fits in your business, where it doesn't, and what it takes to use it safely, from a team that builds AI into real products every day.

  • Use cases ranked by value
  • Risks and data protection reviewed
  • Tools and costs compared
  • A pilot before any big spend

Where could AI help?

Tell us about the business and the tasks that take the most time. We'll tell you honestly where AI fits.

What do you need?

Global
brand experience.

  • Louis-Dreyfus Foundation
  • Desucla
  • London Museum
  • Black Brick
  • Healthscope
  • Cupello
  • Enness Global
  • ACE Aquatec
  • JTI
  • Netacea

What does an AI consultancy do?

An AI consultancy helps a business decide where artificial intelligence is worth using and how to adopt it safely. It reviews your processes, data and risks, finds the tasks where AI saves time or improves service, recommends tools and costs, and sets rules for staff use. Good AI consultancy also says where AI isn't the answer, then proves the best idea with a small pilot.

Last reviewed 26 October 2026 by the Rubik Digital team.

  • Opportunities

    Tasks where AI pays back.

  • Limits

    Where people should stay in charge.

  • Safety

    Data, policy and risk.

  • Proof

    A pilot before a rollout.

Years in business
15+
Global brands
50+
Industry sectors
13+

What leaders ask about AI.

Your buyer asks an AI assistant

Where should our business start with AI?

To be in that answer

A review of where time goes, ranked by what AI could save, so you start with the task most likely to pay back.

Prompts that decide who gets chosen

Where AI belongs.

We place every task on a simple scale. Here's how it looked for a fictional finance firm: some work AI can take on, some it can speed up, and some that should stay with people.

  • Sorting enquiries

    Classified and routed in seconds, with anything unclear passed to a person.

    AI automates
  • Summarising calls

    Notes transcribed and summarised into the CRM after every call.

    AI automates
  • Drafting proposals

    First drafts from the case notes, edited and sent by an adviser.

    AI assists
  • Answering website questions

    An assistant that answers from your guides and hands advice to a person.

    AI assists
  • Approving loans

    Regulated judgement stays with qualified people; AI can prepare the file.

    Keep human
  • Client relationships

    Trust wins the business. AI frees up time for more of these conversations.

    Keep human

From questions to a pilot.

Five stages, with a working pilot in your hands before any larger investment.

  1. Listen

    Where time goes.

    Conversations with your team about the tasks that take the longest.

  2. Review

    Data and risk.

    What data you hold, where it lives and what rules apply to it.

  3. Rank

    Value against risk.

    Every task placed on the scale and the best opportunities ranked.

  4. Pilot

    Proved on real work.

    One use case tested with your team and measured before rollout.

  5. Plan

    What comes next.

    A roadmap, staff policy and costs for the use cases worth scaling.

How far should you go?

Move along the scale to see what changes as AI takes on more of the work.

Least changeMost change
Best for
Staff using chat tools: Writing and research help
Setup
Staff using chat tools: Minutes
Data control
Staff using chat tools: Needs a clear policy
Running cost
Staff using chat tools: Per-user licences

What does it cost?

It depends on how much of the business is in scope and whether a pilot is included. A focused review of one team's work is a short fixed-price project; a business-wide AI strategy with a pilot takes longer. We'll also estimate the running costs of anything we recommend.

Get a fixed proposal

What moves the price

  • Scope

    One team, or the whole business.

    Effect on budget: High

  • Pilot

    Whether we build and test one.

    Effect on budget: High

  • Data

    Where it lives and what applies.

    Effect on budget: Medium

  • Policy

    Staff guidance and training.

    Effect on budget: Low

  • Ongoing advice

    Support as you scale.

    Effect on budget: Low

Why Rubik for AI?

We build AI into websites, platforms and tools, so our advice comes from what works in production, not from a slide deck.

  1. We build it too.

    Advice from developers who ship AI features.

  2. Honest about limits.

    We'll say when AI isn't the answer.

  3. Safe by design.

    Data and policy considered from the start.

  4. Proved small first.

    A pilot before any big commitment.

What our clients say

Expert guidance and flawless execution. Our go‑to agency for all things digital.”
Nic CooperStrategy Director

AI Consultancy Questions,
answered.

What people usually ask us before a project starts. If yours isn't here, ask it in the form and someone senior will reply.

A review of your processes, data, tools and skills, the risks that apply to your sector, and a ranked list of AI opportunities with rough costs, plus what needs to be in place before you start.

Start a conversation

Ready to find where AI fits?

Tell us about the business and the tasks that take the most time. We'll tell you honestly where AI fits.

Tell us about your project.

A few lines is plenty — no brief required.

What are you planning?