Artificial intelligence that works for your business
We build, train, and deploy AI models tailored to your operations. Whether you need document processing, predictive analytics, or a custom chatbot, our team in Wales delivers measurable results within weeks, not months.
[ Get a free consultation ]About us
AI Prosper Guide was founded to help small and medium-sized businesses adopt artificial intelligence without needing an in-house data science team. We operate from 3 Roosevelt Brow, Runolfsdottirwick, PN1 1SL, Wales, United Kingdom, and work with clients remotely across the country.
Our team includes machine learning engineers, data analysts, and integration specialists. Each project starts with a thorough audit of your existing data and workflows. We identify where AI can save time or money, then build a proof of concept you can test before committing to a full rollout.
Most of our engagements last between four and twelve weeks. We charge fixed project fees, so there are no surprise invoices at the end. After delivery, we offer a six-month support window where we monitor model performance and retrain if accuracy drifts.
Our services
Predictive analytics
We train regression and classification models on your historical data to forecast sales, churn, inventory needs, or equipment failures. Typical accuracy improvements range from 15% to 40% over spreadsheet-based forecasting. Models run on your own infrastructure or our managed cloud.
Document processing
Invoices, contracts, medical records, or compliance forms: our OCR and NLP pipelines extract structured data from scanned documents with over 95% field-level accuracy. Processing time drops from hours of manual entry to seconds per page.
Custom chatbots
We build conversational agents grounded in your product catalogue, FAQ database, or internal knowledge base. These bots handle customer queries 24/7 and escalate to a human only when confidence drops below a threshold you set.
Data strategy consulting
Not sure where to start? We audit your data assets, map out collection gaps, and recommend a 90-day roadmap. You get a written report with cost estimates and expected returns for each AI opportunity we identify.
Computer vision
Quality inspection on a production line, vehicle counting at a junction, shelf stock detection in retail: we deploy image classification and object detection models that run on edge devices or cloud GPUs depending on latency requirements.
API integration
Already using a third-party AI service? We connect it to your CRM, ERP, or warehouse management system through clean REST APIs. Average integration takes two to three weeks from kickoff to production.
How we work
Discovery call
A 30-minute video call where we learn about your business, your data, and the problem you want AI to solve. No preparation needed on your end. We ask the questions.
Data audit
We review sample datasets, database schemas, and any existing reports. This usually takes three to five business days. At the end, you receive a feasibility assessment with a confidence score for each proposed model.
Proof of concept
We build a working prototype on a subset of your data. You can test it, poke holes in it, and give feedback. If the results fall short, we adjust the approach or recommend a different technique entirely.
Production deployment
Once you approve the prototype, we harden the code, add monitoring, and deploy to your chosen environment. We handle Docker containers, Kubernetes clusters, or simple VM setups depending on your scale.
Ongoing support
For six months after launch, we track model drift and retrain as needed. You get a monthly performance report showing accuracy, latency, and usage statistics.
Why invest in AI now?
The cost of training a custom machine learning model has dropped roughly 80% since 2020. Open-source frameworks like PyTorch and Hugging Face Transformers mean you no longer need to license expensive proprietary software. Hardware costs have fallen too: a single cloud GPU instance that cost £8 per hour three years ago now runs at under £2.
For a mid-sized retailer, automating demand forecasting with a gradient-boosted model can reduce overstock waste by 20% in the first quarter. A logistics company we worked with cut route planning time from 45 minutes per dispatcher per day to under 5 minutes by deploying a combinatorial optimisation model.
These are not hypothetical gains. They come from real projects with measurable before-and-after numbers. If you have at least six months of structured data and a clear business question, there is almost certainly an AI approach worth testing.
Frequently asked questions
How much does a typical project cost?
A data audit and feasibility report starts at £1,500. A full proof-of-concept engagement ranges from £5,000 to £15,000 depending on data complexity. Production deployments are quoted individually after the POC phase.
Do I need a lot of data to get started?
It depends on the task. For tabular prediction (sales, churn), a few thousand rows often suffice. Image classification needs at least 500 labelled images per category. We tell you honestly during the audit if your dataset is too small, and we can help you design a collection strategy if so.
Where does my data go?
Your data stays on infrastructure you control. We access it through secure, time-limited credentials and delete our local copies after project completion. If you prefer, we can work entirely within your VPN.
Can you work with our existing IT team?
Absolutely. We provide documentation, code reviews, and pair-programming sessions so your developers can maintain the system after handoff. Knowledge transfer is part of every engagement.
What industries do you serve?
Retail, logistics, healthcare administration, financial services, and manufacturing are our most common verticals. The techniques transfer across industries, so if your sector is not listed, get in touch anyway.
What clients say
Sarah M., operations director, Cardiff
"They built us a demand forecasting model in six weeks. Our weekend overstock dropped by a third in the first month. The weekly reports are clear and the team responds to emails the same day."
James T., CTO, Bristol
"We needed a document extraction pipeline for insurance claims. AI Prosper Guide delivered a working prototype in ten days. Field accuracy hit 97% after one round of fine-tuning. Our claims processing backlog is gone."
Get in touch
Company: AI Prosper Guide
Address:
3 Roosevelt Brow, Runolfsdottirwick, PN1 1SL, Wales, United Kingdom
Phone: +44 1286 553430
Email: [email protected]
Office hours: Monday to Friday, 09:00 – 17:30 GMT
We aim to respond to all enquiries within one business day.