AI Consulting Services
White-Label & Dedicated Teams - Offshore developers, maintenance and agency support
Headless CMS - Sanity, Payload, Storyblok, Prismic, Contentful, Strapi and Next.js
AI Solutions - AI agents, chatbots, automation and machine learning
WordPress & WooCommerce - Custom themes, plugins and online stores
Shopify & eCommerce - Shopify, BigCommerce, PrestaShop and Webflow builds
HubSpot CMS - Custom themes, modules and integrations
Custom Web Development - PHP, Laravel, CodeIgniter, CakePHP, MERN and MEAN
Mobile App Development - iOS, Android, Flutter and React Native
Business Software - CRM, ERP, SaaS and enterprise applications
UI/UX & Frontend - Figma, design systems and pixel-accurate Figma-to-HTML
Strategy before spend
AI Consulting That Pays Back
Most organisations do not lack AI ideas. They lack a clear view of which ideas are worth doing, whether their data is ready and how to move from a pilot to something people use.
We give you an honest assessment, a ranked list of use cases, a roadmap with costs and a proof of concept that tests the riskiest assumption first.
Our advice is vendor-neutral and tied to measures your business already tracks, so you know what you will get before you invest.
- 11+Years of building business software
- 50+Global long-term clients
- 2,000+Projects delivered
- 24 hrsResponse time on queries
Why consult first
From scattered pilots to a clear plan
The difference between trying AI and getting value from it.
Without a plan
Fast to start, hard to finish- Many pilots, no clear business result
- Tools bought before the problem was defined
- Data scattered, and nobody sure if it is usable
- Worry about risk, privacy and rules holding everything back
With a plan
A little thinking, much less waste- A short list of use cases ranked by value and effort
- A readiness score showing what to fix first
- A proof of concept that tests the riskiest assumption
- A governance approach that lets teams move safely
Services
Our AI Consulting Services
Advice at every stage, from first question to delivery oversight.
AI Readiness Assessment
A frank view of your data, skills, systems and processes, with a score and the gaps to close first.
WITH AIInterviews and document review are summarised faster, then checked by consultants.
AI Strategy & Roadmap Development
A prioritised, costed roadmap that links each AI initiative to a business measure.
WITH AIScenario models compare effort, value and risk quickly.
Vendor & Technology Selection
Independent comparison of platforms, models and partners against your needs, budget and data rules.
WITH AIStructured scoring of vendor material and demo notes.
AI Proof of Concept (PoC) Development
A time-boxed prototype on your own data that shows what is achievable and what it would take.
WITH AIPrototypes built quickly so the decision is based on evidence.
AI Governance & Ethics Framework
Policies, roles and review steps for privacy, fairness, transparency and acceptable use.
WITH AIPolicy drafts and risk registers prepared faster, then reviewed with your legal team.
Implementation Oversight & Technical Advisory
Experienced advisers who keep delivery on track, review designs and challenge assumptions.
WITH AIDesign and code reviews supported by automated checks.
How an engagement runs
Four stages, each with a clear output
Typical durations. Yours depend on size and complexity.
Discover · Two to three weeks
Interviews, data review and a ranked list of use cases with a readiness score.
Decide · Two to four weeks
Business cases, a roadmap, vendor shortlist and the first proof of concept defined.
Prove · Four to eight weeks
A working prototype on your data, measured against agreed success criteria.
Scale · Ongoing
Delivery oversight, governance and handover to your team or ours.
How we advise
Practical, measurable and honest
Four principles we hold ourselves to on every engagement.
Value first
Every initiative is tied to a measure the business already cares about, such as cost, speed or revenue.
People included
We plan for training, ownership and change, since many AI projects fail on adoption, not technology.
Risk understood
Privacy, security and regulatory questions are raised at the start, not after the build.
Vendor-neutral
We recommend what fits you, and are open about the trade-offs of each option.
Before you commit
What we check first
The questions that prevent expensive surprises.
- A named business ownerEach use case has someone accountable for the result.
- A baseline measureWe record how things work today, so the benefit can be shown.
- Data access confirmedWe check the data exists, is allowed to be used and is good enough.
- A stop ruleAgreed conditions for ending a pilot early, so money is not wasted.
- Total cost of ownershipRunning, support and change costs are included, not only the build.
- A path to productionThe pilot is designed so that it can become a real system.
Ready to build what the roadmap recommends?
Our generative AI team takes proofs of concept through to governed production systems.
FAQs
AI consulting questions, answered
An AI consultant helps you decide where AI will pay off, whether your data and teams are ready, which tools and partners to use, and how to run pilots and scale them safely. The aim is fewer experiments and better results.
We assess your data, systems, skills, processes and governance, and give a score with the gaps to close first. Many organisations are ready for some use cases and not others, so the answer is rarely just yes or no.
We list candidates with your teams, then rank them by business value, effort, data availability and risk. The first project should be valuable, achievable and measurable.
A proof of concept is a small, time-boxed prototype that tests whether an idea works on your own data. It usually takes four to eight weeks and ends with a clear recommendation to continue, change or stop.
Yes. We compare options against your needs, data rules and budget, and are open about the trade-offs. We also tell you when a simple tool is better than a custom build.
We raise these at the start. We help you set policies for acceptable use, data handling, human review and transparency, and align them with the rules that apply to your industry and region.
Not always. Many valuable uses rely on existing models and good engineering. We show which skills you need, which you can buy in and which you should build.
We agree measures before work starts, such as hours saved, cost per task, conversion or error rates, record a baseline and report against it.
We can, but we do not have to. You can use our advice with your own team or another partner. When we do build, the advice and the build are kept honest by the same success measures.
Discovery work is usually a fixed fee over two to three weeks. Later phases are scoped from the results. We tell you the range early so there are no surprises.
Ready for a clear AI plan?
Tell us about your business and where you think AI could help. We will suggest how to find out quickly and cheaply whether it will.
