Growth
How to Show Up in Google's AI Overviews & AI Mode (What Actually Works in 2026)
26 Aug 202612 min read
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.
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.
Tasks where AI pays back.
Where people should stay in charge.
Data, policy and risk.
A pilot before a rollout.
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.
To be in that answer
A clear view of what data can go where, the tools that keep it private, and a staff policy everyone can follow.
To be in that answer
Usually not. We show which tasks AI can take on and which need people, so your team spends time where it matters.
To be in that answer
An independent review of the proposal, the running costs and the risks, with the questions to ask before you sign.
Prompts that decide who gets chosen
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.
Classified and routed in seconds, with anything unclear passed to a person.
Notes transcribed and summarised into the CRM after every call.
First drafts from the case notes, edited and sent by an adviser.
An assistant that answers from your guides and hands advice to a person.
Regulated judgement stays with qualified people; AI can prepare the file.
Trust wins the business. AI frees up time for more of these conversations.
Five stages, with a working pilot in your hands before any larger investment.
Listen
Conversations with your team about the tasks that take the longest.
Review
What data you hold, where it lives and what rules apply to it.
Rank
Every task placed on the scale and the best opportunities ranked.
Pilot
One use case tested with your team and measured before rollout.
Plan
A roadmap, staff policy and costs for the use cases worth scaling.
Move along the scale to see what changes as AI takes on more of the work.
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 proposalWhat moves the price
One team, or the whole business.
Effect on budget: High
Whether we build and test one.
Effect on budget: High
Where it lives and what applies.
Effect on budget: Medium
Staff guidance and training.
Effect on budget: Low
Support as you scale.
Effect on budget: Low
We build AI into websites, platforms and tools, so our advice comes from what works in production, not from a slide deck.
Advice from developers who ship AI features.
We'll say when AI isn't the answer.
Data and policy considered from the start.
A pilot before any big commitment.
Expert guidance and flawless execution. Our go‑to agency for all things digital.”
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.
Growth
26 Aug 202612 min read
Start a conversation
Tell us about the business and the tasks that take the most time. We'll tell you honestly where AI fits.