AI That Works Across Every Function
Our AI consultancy services re-engineer your core business workflows, from sales to supply chain, so they run faster, cheaper, and with fewer errors. We don't sell software; we make AI work inside your existing stack.
Stop Losing Deals to Data Entry
“Your sales team spends 40% of their day updating spreadsheets and CRMs instead of closing deals. Leads slip through the cracks because follow-ups are manual.”
- New leads sorted and ranked the moment they come in
- CRM entries that write themselves after every call or email
- Follow-up emails that go out automatically when a lead shows interest
more sales activity per rep, without new hires
Kill the Approval Bottleneck
“Every decision waits in someone's inbox. Purchase orders, time-off requests, vendor approvals. They all stall because the process lives in email threads and memory.”
- Smart routing that sends approvals to the right person automatically
- Cross-department task orchestration without the meetings
- Status dashboards so nothing falls through the cracks
saved per manager, per week. Redirected to actual leadership
Reclaim Your Fridays from Invoices
“Invoice processing, expense categorisation, reconciliation. The back-office work that eats every Friday afternoon and still produces errors.”
- Intelligent document extraction from invoices, receipts, and POs
- Automated three-way matching and exception flagging
- Real-time cash flow dashboards instead of month-end surprises
accuracy in automated invoice extraction. 4 hrs/week to 20 minutes
Stop Fighting Fires in Your Supply Chain
“You're constantly reacting to stockouts, delayed shipments, demand spikes. By the time you spot the problem, it's already cost you money.”
- Predictive demand sensing that catches trends weeks early
- Automated reorder triggers based on real consumption data
- Carrier performance tracking and route optimisation
reduction in inventory holding costs. 99% fulfilment maintained
Hire Faster Without Hiring a Recruiter
“Posting jobs, screening CVs, scheduling interviews, onboarding. It takes 45+ days to fill a role and your best candidates ghost you at day 20.”
- Automated CV screening that ranks candidates in minutes
- Automated interview scheduling and candidate communication
- Self-service onboarding portals with smart knowledge bases
faster onboarding. 22 days cut from average time-to-hire
Across the North
We work with established businesses across the north of England and Scotland. Each link below opens an AI guide written for that area and industry. For the full list of cities and sectors, head to our locations directory.
North East
Newcastle
Yorkshire
Leeds
North West
Manchester
Prefer a named product?
If you would rather scope a specific engagement than a general service, we have five named products, each with a measurable outcome. Start with the free AI Opportunity Report if you are not sure which fits.
See the productsWhat does an AI consultant actually do?
What are the typical project stages of an AI consulting engagement?
Four stages. Discovery (1-2 weeks): we learn the business and map where AI could realistically help. Pilot (4-8 weeks, fixed price): we build one focused proof of value alongside your existing process. Rollout (1-3 months): we move the pilot into production with training and handover. Optimisation (ongoing or retainer): we monitor, measure and tune. Most UK SMEs we work with start at stage two.
What does an AI consultant do for financial services firms?
For financial services clients (accounting practices, brokers, wealth managers, fintechs), AI consulting typically focuses on three areas: document and statement processing (extracting structured data from PDFs, statements and invoices), client-comms automation (drafting routine correspondence, meeting prep), and risk or compliance triage (flagging anomalies for human review). UK GDPR and FCA obligations are taken into account upfront.
How do AI consultants help with data strategy?
Data strategy work usually has three parts. First, an honest audit of what data you actually have, where it lives, and how trustworthy it is (no shame in messy). Second, the minimum cleanup needed to support the AI use case you care about; perfect data is not the goal. Third, a plan for how data flows between systems so the AI work does not become a brittle one-off. Most SMEs need far less data than vendors imply.
What does an AI consultant do for retail and ecommerce businesses?
In retail and ecommerce, the highest-ROI AI work usually sits in three places: product enrichment (titles, descriptions, attributes auto-generated from supplier data), demand and inventory forecasting (especially for SKUs with seasonal or trend-driven sales), and customer-service triage (routing tickets, drafting responses, escalating the awkward ones). A good consultant will tell you which to start with based on your margins, not on what is fashionable.
What qualifications should I look for in an AI consultant?
Less about academic credentials than three practical signals. One: can they walk you through a real pilot they ran end to end, with the numbers? Two: do they know UK GDPR, the ICO's AI guidance, and the Data Protection Act well enough to handle a DPIA without panicking? Three: will they put success criteria in writing before you sign? Vague answers to any of these are the warning sign worth acting on.
How do AI consultants help with AI governance and ethics?
For UK SMEs the practical governance work is usually small: a one-page AI usage policy, a DPIA for any model that touches personal data, a clear rule on which decisions a human signs off versus which the AI handles unattended, and a quarterly review of where the AI is being used and what it is costing. We do all of this as part of a rollout, not as a separate workstream.
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