Most AI consultancies open with grand promises. We open with results because the gap between "AI strategy deck" and "working model in production" is where most projects stall. This page is structured as an editorial dossier: each section builds the case for a specific way of working, not a sales pitch.
Read it top to bottom or jump to the section that matters. The navigation rail on the left keeps you oriented.
We are AI Wise Solvers, a small applied-AI practice based in Wales. We build predictive models, language pipelines, and computer vision systems for organisations that need answers, not slide decks. Every engagement starts with a question: what decision will this model improve?
Four domains, each with distinct deliverables. We do not offer everything; we offer what we can deliver well.
Not every problem needs AI. Here is how we decide whether to take an engagement.
If a human makes the same type of judgement hundreds of times a week using structured data, a model can likely do it faster and more consistently. Loan approvals, quality checks, triage routing: these are strong candidates.
Contracts, invoices, medical records, regulatory filings. If your team spends hours reading and copying values into spreadsheets, NLP can cut that to minutes with human review only on edge cases.
We build retrieval-augmented generation systems grounded in your own data. We do not build open-ended consumer chatbots. If your use case involves answering questions from a known knowledge base, we should talk. If it involves creative content generation for marketing, we are probably not the right team.
A model needs something to learn from. If your organisation has not been collecting relevant data, the first step is instrumentation, not AI. We can advise on what to capture and how, but we will not sell you a model you cannot feed.
We review your data, define the target metric, and agree on what "good enough" looks like. Deliverable: a two-page brief with acceptance criteria.
First model trained on your data, evaluated against the agreed metric. We share results in a live notebook your team can inspect.
Feature engineering, hyperparameter search, error analysis. We iterate until the model meets or exceeds the acceptance threshold.
Containerised model, API endpoint or batch pipeline, monitoring alerts, documentation. Your team takes ownership with our support.
Optional monthly retainer. We monitor drift, retrain on fresh data, and adjust thresholds as your business changes.
A pharmaceutical manufacturer needed to catch coating defects before packaging. Their existing camera system flagged 22% of tablets as defective when the true defect rate was around 1.5%. We trained a convolutional model on 40,000 labelled images from their line. False positive rate dropped to 0.9%, and genuine defects are caught at 99.2%.
Result: £180K annual savings from reduced waste and rework
A property investment fund manages 1,200 commercial leases. Each lease review took a paralegal roughly 45 minutes. Our NLP pipeline extracts rent review dates, break clauses, service charge caps, and guarantor details in under 90 seconds per document. Human review is now limited to the 6% of clauses the model flags as ambiguous.
Result: 900 paralegal hours freed per quarter
Tell us about the decision you want to improve. We respond within two working days.
Prefer a call? Ring us on +44 7182 697726 weekdays 9–17 GMT.
Email directly: [email protected]
We are based at 33 Kovacek Hill, Moen-over-Thiel, Wales, JR4 9VO, United Kingdom. Most engagements are conducted remotely, but we are happy to meet in person when it helps.
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Last updated: January 2026. Case study results described on this site reflect specific client engagements and are not guarantees of future performance. AI model accuracy depends on data quality, volume, and the nature of the problem. We provide realistic expectations during scoping and define measurable acceptance criteria before work begins.
AI Wise Solvers is not liable for decisions made based on information published on this website. Professional advice should be sought for specific business, legal, or medical applications of AI.