Tool use is uncoordinated
Staff use ChatGPT, Copilot, plugins and templates without a common process or agreed controls.
AI consulting and implementation for UK businesses.
Quilliam AI assesses where AI can improve a defined process, implements the agreed system and trains the relevant staff to operate it.
Client work and experience
Scope and approach
Based in Cornwall. Working throughout the UK and remotely.
Most UK businesses already have access to AI tools.
The relevant commercial issue is whether those tools improve a defined business process.
Quilliam AI reviews recurring work, system dependencies, data, risk and staff responsibilities.
Each engagement begins with a specific process and an accountable owner.
We design and implement the agreed system, apply appropriate controls and test it against representative examples.
Training, documentation and handover requirements are included in the agreed scope.
The intended result is a controlled system that your team can operate and review.
Effective AI use requires a defined process, appropriate controls and accountable ownership.
Many teams already have access to AI tools. Business value depends on selecting an appropriate use, setting measurable objectives and integrating the system into normal operations.
Processes remain manual
Lead management, reporting, support, document handling and administration still depend on copying information and individual memory.
Responsibilities are unclear
The business has not defined permitted use, approval requirements or responsibility for checking output.
Benefits are unmeasured
Proposed AI work has no agreed baseline for time, cost, quality or service improvement.
What we do
Assessment, implementation and training.
Each engagement has a defined scope, stated deliverables and an agreed handover to the responsible team.
01
Assess current processes
We review recurring administration, follow-up, customer enquiries, reporting and handovers to identify measurable cost or delay.
Output: AI opportunity assessment
02
Define the first project
We select a suitable process and agree the scope, responsibilities, controls and success measures before implementation.
Output: Defined project scope
03
Implement and test
We integrate the workflow with the agreed tools and data, then test it against representative examples before release.
Output: Tested AI workflow
04
Train and hand over
We train the relevant staff to operate the system, review its output and follow the agreed maintenance process.
Output: Training and handover documents
Services
Services for assessment, training and implementation.
Opportunity analysis identifies a suitable first project. Team training establishes consistent use. Implementation delivers an agreed workflow, automation or internal tool.
For owners
AI Opportunity Analysis
We assess where AI can improve a business process and recommend the appropriate first action.
- A prioritised list of AI opportunities
- A recommendation to train, implement or defer
- Defined risks, controls and owners
- A proposed scope for the first project
For staff
Team Training
We train staff to use AI in routine work, based on their roles, responsibilities and current processes.
- Role-specific training
- Prompt, policy and process guidance
- Rules for permitted and restricted use
- A consistent method for reviewing AI output
For owners and operations teams
AI Implementation
We design and implement AI workflows, automations and internal tools for agreed business processes.
- Lead intake, qualification and follow-up
- Customer support triage and draft replies
- Research, reporting and briefing workflows
- Administration across email, documents, CRM and spreadsheets
Case study
AI product, onboarding and operations support for VetVision AI.
VetVision AI is a University of Nottingham spin-out. Its camera systems monitor animal welfare in equine and dairy environments.
Client
University of Nottingham spin-out
Quilliam AI was engaged to improve product presentation, customer onboarding and operating processes. The work included search content, a branded onboarding portal, farm mapping, camera setup and defined internal AI implementation support.
40 to 95
Approximate change in the recorded SEO score
AI product
Revised presentation for equine and dairy welfare monitoring
Live portal
Branded onboarding and operations workflows released
Increase
Reported website visibility, visitor numbers and enquiries
AI product positioning
Revised the presentation of the camera-based animal welfare product for equine and dairy customers.
Customer onboarding portal
Developed a branded portal covering initial customer setup and implementation.
Operations planning
Documented the internal process for farm mapping, camera placement and replacement planning.
Internal AI implementation
Supported defined internal AI uses and improvements to operating processes.
Use cases
Examples of suitable AI-assisted processes.
An inbound enquiry is classified and a draft response is prepared for review.
A support request is triaged, checked against policy and drafted for approval.
A weekly report compiles the required notes, figures and commentary.
Approved internal documents and messages are made available through a searchable knowledge system.
Suitability
Suitable AI projects share four characteristics.
The process should recur, operate within defined limits, have an accountable owner and carry a measurable current cost.
The process recurs
The same type of email, decision, report, triage, update or handover occurs regularly.
The process has defined rules
Relevant examples, policies, constraints or decision patterns are available for review and testing.
An accountable owner is appointed
A named person can approve, test and maintain the workflow after release.
The current cost is measurable
Time, delay, missed follow-up or inconsistent quality can be measured against an agreed baseline.
Principal consultant
Experience in business restructuring, software and AI delivery.
Levi Quilliam
Quilliam AI is led by Levi Quilliam. His experience includes turnaround and restructuring at Deloitte, followed by technology roles at Halter.
Process assessment and implementationTraining and documented handoverDirect access to the principal consultant
FAQ
Frequently asked questions.
What services does Quilliam AI provide?+
Quilliam AI assesses suitable uses of AI, implements agreed workflows and tools, and trains the relevant staff to operate them.
Do you provide advisory and implementation services?+
We provide advisory and implementation services. A typical engagement may include process assessment, system design, implementation, controls, testing, training and documented handover.
Do you work with small businesses?+
Yes. We work with small and growing UK businesses where recurring administration, owner dependencies or manual follow-up present a defined opportunity. An internal AI team is not required.
What is the typical delivery period for a pilot?+
A focused workflow can often reach pilot stage within several weeks. Timing depends on scope, data access, system dependencies and the required controls. We confirm the delivery plan before work begins.
What should we budget for AI work?+
We quote against an agreed scope, taking account of the process, data, systems, risk and handover requirements. As general guidance, training usually starts from £500. Small implementation projects may cost approximately £2,000 to £3,000. Medium projects may range from £5,000 to £50,000. Larger programmes are usually above £50,000. We provide a written scope and fee before paid work begins.
How do you control AI-related risk?+
We agree controls according to the process and risk. These may include restricted permissions, limited data access, human approval, test cases, audit logs, fallback procedures and named owners.
Where are you based?+
Quilliam AI is based in Cornwall and works throughout the UK, including remote delivery. In-person assessment, training and implementation sessions are available where agreed.
Initial assessment