Technology decisions made with clarity, not jargon.
We help business owners and founders choose the right technology approach for their stage: whether to build or buy, which vendors to trust, what to plan for next, and where AI genuinely earns a place. Senior, hands-on advice from people who have built and run technology, explained in plain English.
What technology strategy consulting means for a smaller business
For a large enterprise, technology strategy can mean a hundred-page document and a multi-year transformation programme. For an SME or startup it is far more practical: a handful of decisions that will shape cost, speed and risk for years, usually made without a senior technologist in the room.
Those decisions arrive disguised as everyday questions. Should we keep paying for three overlapping SaaS tools or build one system? Is this agency quote reasonable? Do we need a mobile app, or will a good web app do the job? Can our AI pilot safely run on a public model API? Each answer quietly commits money and narrows the next choice.
Our role is to make those commitments deliberate. We look at your business goals, current systems, budget and team, then give you a clear recommendation with the reasoning behind it, including the options we rejected and why. You leave knowing what to do next, and just as importantly, what to ignore for now.
The strategy decisions we help SMEs make
Most engagements start with one pressing question. Here is what each typically involves, what you walk away with, and how AI has changed the answer.
| The real question | What you get | How AI changes it | |
|---|---|---|---|
| Build vs buy | Which parts are commodity, and which are ours? | A recommendation with multi-year cost for each path | AI-native builds cost less, so custom wins more often |
| Vendor evaluation | Can this agency or product deliver what it promises? | A scored shortlist and contract red flags | Ask how vendors use AI and whether savings reach you |
| Roadmap planning | What should we do first, and what can wait? | Sequenced priorities tied to business goals | AI initiatives ranked on value, not hype |
| Systems consolidation | Why do our tools not talk to each other? | A target set of systems and an integration plan | Connected, clean data is what makes AI useful later |
| Stack health | Is our current technology holding us back? | Keep, evolve or replace, with reasons | Mature, well-documented stacks suit AI coding tools best |
Need to go deep on one area? We also run dedicated engagements for technology roadmaps, tech stack selection and software vendor selection.
AI belongs in your technology strategy, but rarely at the top of it.
Almost every leadership team we speak to feels pressure to "do something with AI". The result is often a scatter of pilots, subscriptions and chatbot experiments with no owner and no measure of success. That is not a strategy; it is anxiety with a budget.
In practice, AI shows up in a sound technology strategy in three ways. It changes the economics of existing decisions, because AI-native engineering teams build custom software with fewer engineer-hours, which moves the build vs buy line. It creates specific opportunities in work that involves reading, sorting, searching or drafting. And it introduces new risks: data leaving your control, dependence on a single model provider, and AI-generated code nobody has reviewed.
We treat AI like any other capability. It earns a place on the plan when it solves a real problem better than the alternatives, and we are equally willing to tell you that a better process, a spreadsheet or an off-the-shelf tool is the right answer.
From a tangled question to a clear recommendation
Most strategy work fits our Advisory Sprint: two to four weeks, one defined question and a written outcome. Some clients continue with a monthly partnership once the direction is set.
Discovery call
Free, 30 minutesWe hear what decision you are facing, what has been tried and what is at stake. If we are not the right people to help, we will say so and suggest who might be.
Proposal
Within 48 hoursA short written proposal covering the question we will answer, who we need to speak to, what you will receive and the fee.
Investigate
Weeks 1 to 3Interviews with your team, a review of systems, contracts and costs, and hands-on checks where claims need testing. AI tools help us digest documents, codebases and vendor material quickly, so more of our time goes on judgement than on reading.
Recommend
Final weekA plain-English recommendation covering options considered, costs, risks and concrete next steps, walked through with your leadership team so everyone understands the reasoning.
Six tests for any technology strategy advice
Whether you work with us or someone else, hold the output to these standards. If it fails them, you have bought a report, not a strategy.
It makes decisions, not descriptions
It should tell you what to do, in what order, and what to stop doing. A tour of the technology landscape is not advice.
It counts costs over years, not months
Licences, build, maintenance, hosting and the people to run it, compared across the realistic options.
It takes a clear position on AI
Where AI will be used, where it will not, who owns each initiative, and what data it may touch.
It names the trade-offs
Every recommendation has a downside. Good advice states it plainly so nobody is surprised six months later.
It fits the team you actually have
A plan that depends on three engineers you cannot hire is not a plan. It should match your budget, skills and hiring reality.
It is not tied to what the adviser sells
Ask directly whether a recommendation earns the adviser a referral fee, reseller margin or follow-on contract.
Questions we often hear
What does a technology strategy consultant do?
A technology strategy consultant helps a business make major technology decisions deliberately: what to build or buy, which vendors to use, how systems fit together and what to prioritise. For SMEs the work usually focuses on a few high-stakes decisions rather than a long transformation report. The most useful consultants are hands-on enough to verify what vendors and developers tell you.
How much does technology strategy consulting cost?
It depends on the size of the question. Many SMEs start with a fixed-scope advisory sprint of two to four weeks focused on one decision, then decide whether ongoing support is worthwhile. After a free discovery call we send a clear proposal with the fee within 48 hours.
Do small businesses really need a technology strategy?
Not a thick document, but yes, a shared view of the technology decisions ahead. Smaller businesses feel a wrong call more sharply, because one poor platform choice or vendor contract can absorb a year of budget. A short, practical strategy mostly exists to prevent expensive surprises.
How should AI fit into a small business technology strategy?
Start with the processes where people spend hours reading, searching, sorting or drafting, and test whether AI measurably helps there. Decide early what data AI tools may access and who owns each initiative. Also revisit older build vs buy decisions, because AI-native development has lowered the cost of custom software.
What is the difference between a technology strategy and a technology roadmap?
Strategy sets the direction: what technology should do for the business, what to build or buy, and which risks to accept. A roadmap sequences the resulting work over quarters. A roadmap without a strategy behind it tends to become a wish list.
Can you also build what you recommend?
Yes, if you want us to. Our AI-native engineers can deliver the product or automation work, with senior review on every change. There is no obligation: many clients take the recommendation to their existing team or vendor, and we can provide technical oversight instead.
Related reading and tools
What decision are you weighing up?
Tell us about the technology choice in front of you, whether it is a vendor contract, a platform change or an AI pilot. We will reply within 24 hours with an honest view on whether an advisory sprint would help.
Working with companies globally · Response within 24 hours