Practical AI strategy for real business problems
We help you diagnose where AI can add real value, design sensible solutions, and act as your ongoing AI transformation partner – without the hype, jargon, or complexity.
The Problem
AI is transforming how brands are managed, discovered, understood, and operate. This has led many business owners and managers to feel:
“AI is everywhere, but it’s not clear what’s actually worth doing.”
“We’re seeing pilots pop up all over the place, but no joined-up strategy.”
“We don’t want to be left behind – or waste money on toys.”
You don’t need another trend deck. You need a clear starting point and a trusted partner.
The Solution
A simple three-step path from “AI noise” to focused, practical action.
Diagnose – AI Opportunities Diagnostic
Understand your workflows, pain points, and opportunities.
Identify where AI should and shouldn’t be used.
Prioritise a small number of high-impact starting points.
Design – AI Pilot & Roadmap Sprint
Explore solution options that fit your tools and team.
Design and scope a pilot to test value quickly.
Create a roadmap for the next 6–12 months.
Partner – AI Transformation Partner
Ongoing support as you implement and refine.
Help with roles, workflows, training, and governance.
Regular check-ins to keep AI efforts aligned with strategy.
Not sure where you are in the journey? Let’s talk.
The Journey: Diagnose → Design → Partner
Lots of AI frameworks look impressive on slides and confusing in real life.
We keep things simple.
Find the 2–3 AI opportunities that will actually move the needle for your business – without the hype or a 40-page strategy deck. Typically 2–4 weeks, focused on clarity and prioritisation.
Who it’s for
Leaders who know AI matters but don’t yet have a clear, confident answer to: “Where should we start – and what’s worth doing?”
Outcomes (what you walk away with)
A simple map of where AI can help across key workflows (sales, marketing, ops, service, etc.).
2–3 prioritised use cases with clear value, risk, and effort assessments.
A plain-English summary you can share with your leadership team.
A recommended “first move” – what to do in the next 90 days.
Diagnose the problems, not the tools
We start with how your business actually runs: where time is wasted, where decisions are slow, and where quality is inconsistent. Then we ask: could AI genuinely help here? Sometimes the answer is yes. Sometimes the answer is “not yet” – and that’s just as valuable.
Turn your best ideas into a tested pilot and a realistic 6–12 month AI roadmap your team can actually follow. This usually takes 3–6 weeks to design and validate a practical AI initiative.
Who it’s for
Organisations that have identified promising AI use cases and now need to choose tools, test assumptions, and avoid expensive dead ends.
Outcomes
Shortlisted solution patterns (automation, agents, copilots, analytics, etc.) aligned with your stack and constraints.
A designed and scoped pilot (or light prototype) to prove value quickly.
Success criteria and basic measurement plan for the pilot.
A 6–12 month AI roadmap with clear phases, dependencies, and decision points.
Design sensible solutions
Once we’ve found promising opportunities, we explore options: automation, AI assistants, smarter analytics, or small agentic systems. We look at feasibility, cost, risk, and fit with your people and technology. The result is a focused pilot and a realistic roadmap, not an endless experiment.
An ongoing AI strategy and change partner who helps you implement, adapt, and scale – without hiring a full-time AI team. This is a flexible monthly engagement.
Who it’s for
Businesses that have started experimenting with AI and now need consistent guidance on implementation, governance, and change management.
Outcomes
Regular strategic guidance on AI priorities, risks, and investments.
Support for role and workflow redesign as AI tools roll out.
Leadership and team support: communication, training, and adoption.
Light-touch governance: ways of working, simple guardrails, and review rhythms.
A steady shift from “AI experiments” to “AI embedded in how we operate.”
Partner on the change
AI only delivers value when people use it. We stay involved as a transformation partner – helping you communicate the changes, support your teams, adjust roles and workflows, and keep an eye on risks and governance.
No jargon. No over-engineering. Just a clear, human way to bring AI into your organisation in a way that makes sense.
Why Work With Brand Strategy AI?
Business-first, not tool-first. We start with your goals, processes, and constraints – not a pre-picked tech stack.
Calm, clear advice. No hype, no doom, just level-headed guidance grounded in real-world experience.
Bridging strategy and implementation. We help you talk to both the board and the builders in language they understand.
I’m David Durham, the founder, and I’ve been working at the intersection of technology and business for over forty years — long before artificial intelligence became a mainstream idea. I started my career in the 1980s as a software programmer and have since worked as an IT business analyst, project manager, and digital marketer.
Across every role, one principle has stayed the same: technology should serve people, not overwhelm them. My focus is on using modern tools in simple, powerful ways that help real businesses grow.
Understanding AI
Frequently Asked Questions
1. Do we need to have any AI projects running already?
No. Many clients come to us at the “we know we should be doing something with AI, but we’re not sure what” stage.
If you’re already experimenting with tools or pilots, we’ll build on that and make sense of what’s working (and what isn’t). If you’re starting from scratch, we’ll help you identify a sensible first move rather than rushing into technology for its own sake.
2. What size or type of organisation do you work with?
Brand Strategy AI is designed for small to mid-sized organisations and specialist teams inside larger companies.
Typical clients:
Have some digital maturity (e.g. CRM, basic analytics, online channels).
Don’t yet have an in-house AI team.
Want pragmatic advice, not a giant transformation programme.
If you have real customers, real processes, and a desire to use AI sensibly, you’re probably a fit.
3. Do you actually build AI tools, or just advise?
The focus is on strategy, design, and change – but not in a vacuum.
In the AI Opportunities Diagnostic, the outcome is clarity and prioritisation.
In the AI Pilot & Roadmap Sprint, we design and specify pilots in enough detail that your internal teams or chosen vendors can build them.
As an AI Transformation Partner, we work alongside whoever is doing the technical build – helping ensure what’s being built is aligned to your goals, workable for your teams, and governed sensibly.
For some clients, we also help co-ordinate technical partners or recommend specialist builders where appropriate.
4. How long does an engagement typically take?
As a guide:
AI Opportunities Diagnostic: usually 2–4 weeks, depending on access to people and information.
AI Pilot & Roadmap Sprint: typically 3–6 weeks from kick-off to a defined pilot and roadmap.
AI Transformation Partner: ongoing, usually reviewed every 3–6 months.
Everything is designed to move at a practical pace – fast enough to see progress, slow enough to involve the right stakeholders.
5. How do you work with our existing IT / data / digital teams?
As collaborators, not competitors.
We bring strategy, use-case thinking, and change management.
Your IT/data/digital teams bring systems knowledge, security requirements, and technical constraints.
We involve them early, listen carefully to their concerns, and make sure any proposed AI initiatives are realistic within your environment. The aim is to support them, not bypass them.
6. Do we need lots of data or advanced infrastructure for this to be useful?
No. Some AI opportunities depend heavily on data and infrastructure; others don’t.
During the diagnostic phase we:
Assess the quality and availability of your data.
Identify where off-the-shelf AI tools or lighter-weight automations may be enough.
Highlight where more foundational work (e.g. data clean-up, process standardisation) is needed before advanced AI makes sense.
You won’t be pushed into big data projects if they’re not necessary.
7. What if our AI pilots “fail”?
A pilot that doesn’t meet expectations isn’t automatically a failure. It’s information.
We design pilots to answer questions like:
Does this actually save time or improve quality?
Will people realistically use it?
What risks or unintended consequences show up?
If a pilot proves something shouldn’t be scaled, that’s still a valuable outcome – it saves you money and allows us to refocus on better opportunities. The important thing is to fail small, quickly, and on purpose, not by accident at full scale.
8. How do you handle ethics, risk, and compliance?
Responsibility is baked into the work, not bolted on at the end.
We help you:
Identify key risks (e.g. data privacy, bias, over-reliance on automation, reputational issues).
Put in place simple, human-understandable guardrails.
Define who is accountable for what (not just “the AI did it”).
Align AI use with your existing governance, policies, and values.
You won’t get a legal opinion from us, but you will get a practical governance lens on everything we recommend.
9. Can you help us with change management and training?
Yes – this is a core part of the AI Transformation Partner offer.
That can include:
Helping leaders communicate the “why” behind AI initiatives.
Designing simple training sessions or playbooks for teams.
Supporting managers as roles and workflows shift.
Creating feedback loops so people can raise issues early.
The goal is for AI to feel like a supportive upgrade to how people work, not a threat lurking in the background.
10. How is pricing structured?
Pricing is transparent and scoped around your context:
AI Opportunities Diagnostic: typically a fixed-fee project so you know exactly what you’re committing to.
AI Pilot & Roadmap Sprint: usually a fixed fee based on complexity and number of stakeholders.
AI Transformation Partner: delivered as a monthly retainer with a clear set of activities (e.g. hours, workshops, check-ins).
Exact figures depend on scale and scope, but everything is agreed upfront – no surprise add-ons.
11. Is this only for “tech” or digital-first companies?
Not at all.
AI has practical uses across many types of organisation, including:
Professional services
Education and training
Healthcare and wellbeing
Non-profits and membership organisations
Specialist B2B firms
What matters is that you have real processes, repeated tasks, and decision points where better information or smart automation could help.
12. How do we get started?
The simplest next step is a short, no-obligation conversation.
We’ll talk about:
Where you are now (experiments, ambitions, concerns).
What’s driving your interest in AI.
Whether an AI Opportunities Diagnostic, AI Pilot & Roadmap Sprint, or AI Transformation Partner is the right place to begin.
If there’s a fit, we’ll outline a clear proposal. If not, you’ll at least come away with a clearer sense of what to look for next.