AI Readiness Assessment
A short review of your processes, data and systems that ends with a ranked list of AI opportunities, likely costs and the risks to manage.
We help Greater Manchester businesses put AI to work on the jobs that eat their week: answering the same questions, reading documents, chasing data and forecasting demand. Practical projects with a measurable result, not experiments that never leave the lab.
Today's AI is best at reading, sorting, summarising and predicting. If your team spends hours on repetitive tasks involving documents, emails, data entry or routine questions, there is usually a sensible AI project hiding there. We find it, build it safely around your data and measure the time it saves.
A short review of your processes, data and systems that ends with a ranked list of AI opportunities, likely costs and the risks to manage.
Chat assistants that answer from your policies, product data or knowledge base, with sources shown so staff can check every answer.
Extract data from invoices, delivery notes, contracts and forms, then route it into your systems with a human check where it matters.
Demand, stock and cash flow forecasts built on your history, shown on dashboards your managers will actually open. See Data visualisation.
Models for classification, scoring or anomaly detection when off-the-shelf tools cannot reach the accuracy you need. More in Machine learning consulting in the UK.
Summaries, smart search and drafting features added to your CRM, portal or internal tools through secure APIs.
Most businesses get the quickest return in one of these departments.
| Department | Task AI takes on | What changes for the team |
|---|---|---|
| Customer service | First response to common questions and order queries | Staff handle the complex cases instead of the repetitive ones |
| Finance | Reading invoices and matching them to purchase orders | Less keying, fewer errors, faster month end |
| Sales | Summarising calls and drafting follow-up emails | More time selling, better CRM records |
| Operations | Forecasting demand and flagging stock risks | Fewer stockouts and less cash tied up |
| HR and recruitment | Screening CVs against agreed criteria | Shortlists faster, with a person making the final call |
You do not need a data science team to start. You do need a clear problem and some examples of the work. If most of these are true, you are ready for a first project.
Pick the task with the clearest return and lowest risk.
Gather and clean examples, set privacy rules.
A working version tested on your real data.
Compare accuracy and time saved against today.
Integrate, train staff and monitor quality.
Product description drafting, customer query handling and returns triage for the many online retailers based around the city.
Transcription, tagging and content search for production teams around MediaCityUK and agencies in the Northern Quarter.
Delivery exception handling, document reading and demand forecasting for operators around Trafford Park.
Contract review support, research summaries and secure knowledge assistants for Spinningfields firms.
Admin automation and scheduling support for private providers, with strict controls on personal data.
CV screening and candidate matching, the same problem our Recruiter Plus platform tackles.
A focused first project, such as a document automation or a knowledge assistant, costs far less than most people expect because it reuses proven models. We quote a fixed price after the assessment, plus any monthly model usage costs, so you can compare it with the time it saves.
No. We use business API terms that exclude your data from model training, host supporting systems in UK or EU regions, and keep access limited to the people who need it.
In the projects we run, AI takes on repetitive steps so people can focus on judgement, customers and exceptions. We design with a person in the loop wherever a decision matters.
We test on your real examples before launch and agree a target with you. After launch we monitor output and review a sample regularly.
No. Many of our Manchester clients are SMEs. The best projects are small, specific and tied to a task you already do every week.
Tell us which tasks eat your team's time. We will suggest where AI fits, where it does not, and what a first project would cost.