AI Consulting that
Ends in Production
We find where AI will pay off in your business, prove it on your own data, and hand you a costed roadmap your team can act on.
Our AI Consulting Services
Strategy you can act on, from a company that also builds it.
AI Readiness Assessment
We review your data, systems, team skills and security rules, and tell you plainly what AI can and cannot do for you today.
Use Case Discovery
We interview the people doing the work, list every process AI could touch, and rank each one by hours saved against effort to build.
Build Versus Buy
For each use case we compare an off the shelf tool, a configured platform and a custom build, with the running cost of each.
Model & Vendor Selection
We test hosted and open weight models on your own examples and check vendor terms on data use, privacy and lock in.
AI Cost & ROI Modelling
Build cost, monthly running cost and expected savings for every project, so the business case is a number and not a hope.
AI Roadmap & Governance
A sequenced plan for the next two to four quarters, with owners, budgets, success measures and the rules for safe use of AI.
How an engagement runs
- 1
Discovery workshops
We spend the first week with the people who run the business and the people who do the daily work. We map how requests, documents and decisions move through the company, and where staff lose the most hours to repetitive tasks. Nothing is recommended until we have seen the work itself.
- 2
Score and shortlist the use cases
Every idea goes into one sheet with the hours it saves, the data it needs, the risk if it gets an answer wrong and a rough build cost. Most companies end up with a long list and a short one. The short list holds the two or three projects that pay back fastest.
- 3
Prove the top idea on your data
Advice alone is cheap, so we build a small working proof for the first use case on a sample of your real documents or records. It shows whether a model is accurate enough and what each request would cost to run, before you commit a full budget.
- 4
Roadmap, budget and handover
You receive a written roadmap with the order of projects, the budget for each, the success measure and who owns it. Your team can build it, we can build it with you, or you can take it to another vendor. The roadmap is yours either way.
What you get
AI readiness report
Where your data lives, how clean it is, which systems expose an application programming interface (API), and what security or compliance rules limit the choices.
Ranked use case list
Every opportunity we found, scored on value, effort and risk, with a short note on why the top ones made the cut.
Build versus buy decision per use case
A clear recommendation for each project, with the tools we compared and their monthly costs at your expected volume.
Model and vendor shortlist
Test results for the large language models (LLMs) we tried on your examples, plus a summary of each vendor's terms on training, data retention and exit.
Cost and return model
A spreadsheet your finance team can edit, covering build cost, running cost per month and the savings or revenue each project should produce.
A working proof of concept
A small prototype for the first use case on your own data, so the roadmap starts from evidence instead of a slide.
AI usage policy
Plain rules for staff on which tools are approved, what data may go into them and when a person must check the output.
Quarter by quarter roadmap
The sequence of projects for the next two to four quarters, with owners, budgets and the measure that proves each one worked.
When this is the right call
Your board wants an AI plan and nobody owns it
Leadership has asked what the company is doing about AI, and the answer so far is a few staff using chat tools on their own. A short consulting engagement turns that into a ranked list, a budget and a first project with a named owner.
You run a small or mid sized business without an AI team
You do not need to hire a head of AI to start. AI consulting for small businesses usually means finding the one or two tasks that eat the most hours, such as quotes, support emails or data entry, and fixing those first with tools that cost little to run.
Vendors keep pitching and you cannot compare them
Every software vendor now sells an AI feature. We test their claims on your own examples and compare them with a custom build, so the decision rests on accuracy and cost rather than on the best demo.
Questions we get asked
What is AI consulting?
AI consulting is outside help to decide where artificial intelligence will pay off in your business and how to put it in place. A good engagement covers a readiness check, a ranked list of use cases, build versus buy choices, model and vendor selection, a cost and return model and a roadmap. At AIsmith it also includes a working proof on your data, because we build what we recommend.
How is AI consulting different from IT consulting?
IT consulting covers infrastructure such as cloud migration, cybersecurity and DevOps. AI consulting decides which business processes AI should handle, which models and vendors to use and what it will cost and return. Many companies need both, and our IT consulting team covers the infrastructure side.
Is AI consulting worth it for a small business?
Yes, when it is scoped tightly. Small businesses rarely need a long strategy document. They need to know which two or three tasks to automate first, which affordable tools fit, and what it will cost each month. A short engagement that answers those questions usually pays for itself through the first project.
How long does an AI consulting engagement take?
A focused engagement for one business unit usually takes three to six weeks, including the proof of concept. Larger companies with many departments may take longer, and we agree the scope in writing before we start.
How much does AI implementation cost?
It depends on the use case, the data and the traffic. A configured off the shelf tool can cost a few hundred dollars a month, while a custom agent connected to several internal systems is a larger build with its own running cost. The cost and return model we deliver gives you these numbers for your own projects before you spend on a build.
Do you only advise, or do you also build?
Both. AIsmith is an engineering company, so our AI development team can build the roadmap with you. You are never locked in though: every report, test result and prototype is yours to take to your own team or another vendor.
We've shipped this before
Real projects, real clients, real outcomes.
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Explore our services
One team for AI, web, mobile, and infrastructure.
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Book a free consultation today, and let's craft a strategic roadmap for your digital transformation.