Most companies do not need more AI ideas, they need to know which two or three are worth building first. As an AI consulting company, we give you an AI readiness assessment, a ranked list of use cases, a cost and return estimate and a roadmap your team or ours can execute.
The goal is a decision you can defend: what to build, in what order, with which data and at what cost.
An AI readiness assessment and AI audit: a review of data quality, systems, skills and security that shows what is ready for AI and what must be fixed first.
A list of AI use cases scored by value, effort, risk and data availability, so priorities are clear.
AI ROI estimate: build cost, running cost and expected savings or revenue for each shortlisted case.
Which model, which tools and which integrations fit your stack, and where a simple automation is enough.
Responsible AI and AI risk management: AI governance rules for data use, human review, accuracy checks and compliance, written before anything goes live.
A phased plan with a small pilot first, owners, milestones and measures of success.
Advice is only useful if it can be built. We advise as the team that also builds.
Because our engineers deliver AI projects, estimates are based on real build effort. See AI development services.
A first assessment is free, and any further scope and price are agreed in writing before work starts.
We recommend the model and tools that fit your case, including open-source and private options.
You keep the roadmap and documents, and can execute with your own team or another vendor.
We interview owners and teams, review systems and data, and agree on business goals.
We score use cases and check data and risk for each shortlisted candidate.
You get an architecture sketch, a cost and return model and a phased roadmap.
We present the plan and, if you want, start the pilot with the same team.
The deliverables are documents and decisions, not slides full of buzzwords.
| Deliverable | What it contains | How it is used |
|---|---|---|
| Readiness report | Data, systems, skills and security review | Fix gaps before building |
| Use case backlog | Ranked list with value, effort and risk | Choose the first pilot |
| ROI model | Cost and return per use case | Justify the budget |
| AI roadmap | Phases, owners, milestones, KPIs | Run the AI transformation programme |
A consulting project is short by design, usually a few weeks, because the goal is a decision, not a long engagement.
If you already know the task, go straight to AI development and skip the audit.
AI consulting pays off when you have many possible uses for AI and limited budget, when data is scattered, or when leadership needs a defensible plan. It does not pay off when the task is already clear and small, in which case a pilot is the better first step. We say which situation you are in during the first call.
People search for this as an AI consulting firm, AI consulting companies, generative AI consulting, AI strategy consulting, AI consultants or help with AI adoption, and the work is similar: assess, prioritize, plan. We focus on practical steps: which processes to automate, which data to clean, where a language model helps and where classic software is cheaper. We also cover responsible use, covering privacy, accuracy checks and human review. The work runs from strategy through delivery: we check data readiness across the organization, rank use cases by value and risk, and agree a proof of concept before any larger build.
The output is a plan you can act on, with AI implementation steps and owners. If you want it built, we can start a pilot with the same team. If you prefer another vendor or your own engineers, the roadmap is yours. Many clients return after the pilot for a second round on the next use case. Ask about AI consulting pricing on the first call and expect a written answer: you can hire an AI consultant for a short fixed-fee project, and the work is organised as separate AI services, from consulting to delivery. Where a language model such as an LLM is useful, the plan says so.
They help a business decide where AI creates value: a readiness audit, ranked use cases, a cost and return estimate and a roadmap for delivery.
AI consulting cost depends on the number of teams and systems reviewed. A first assessment is free, and a short project is quoted as a fixed fee in writing.
A first assessment is free. Further scope and price are agreed in writing, and a short consulting project is priced as a fixed fee.
Yes. A half-day AI workshop aligns leadership on use cases and risks, and AI consulting for small business is scoped as a short fixed-fee project: readiness check, two or three ranked use cases and a pilot plan.
Most engagements take two to four weeks, depending on the number of teams and systems involved.
Not always. If the task is clear and small, a pilot is faster. If you have many ideas or scattered data, consulting saves money by ranking them first.
No. We recommend the models and tools that fit your case, including open-source and private deployments.
Yes, with the same team. You can also take the roadmap to another vendor or your own engineers.
Describe your business and the problem, or ask for the free assessment. You get a scope and a price, usually within a few days.
The first assessment is free and yours to keep. Get AI consulting services with a written plan and a roadmap you can act on.