Controlled AI assessment and pilot

Automate one valuable process—not everything at once.

Turn a repetitive, document-heavy or knowledge-intensive process into a controlled working pilot, with clear success measures and appropriate human oversight.

Discuss an automation opportunity See applied AI experience

The opportunity

Move from AI interest to evidence

Many organisations have promising ideas but not enough clarity to invest responsibly. The useful first step is to establish which process is worth improving, whether AI is genuinely required and how the result will be judged.

The assessment considers integration, accuracy, human approval, security, privacy, operating cost and whether the expected benefit justifies a larger investment.

Example use cases

One bounded workflow with a measurable outcome

These are examples, not guarantees. High-impact medical, legal, employment or financial decisions should not be delegated to autonomous AI.

Classifying and extracting incoming documents

Searching approved knowledge with source references

Support-ticket classification and response drafting

Summarising cases, reports or operational records

Turning emailed requests into structured workflows

Identifying exceptions for human attention

Assisting users of established .NET applications

Producing structured drafts for review and approval

Delivery approach

Small enough to learn. Structured enough to decide.

01
Understand
Map the current process and desired outcome.
02
Measure
Define the baseline and success criteria.
03
Pilot
Create the smallest useful working implementation.
04
Decide
Compare results with the baseline and recommend the next step.

Engagement options

Assess first, then pilot with purpose

Stage 01

Opportunity assessment

From £2,000 + VAT

Process and requirements review
Suitability and risk assessment
Proposed pilot scope and success measures
Indicative implementation and operating costs
A proceed, revise or stop recommendation

Stage 02

Controlled pilot

Quoted separately after assessment

Addresses one defined process using a limited, agreed data set. It includes suitable human review and integrates with existing systems where that is within scope.

The result is evidence against agreed measures—not an automatic production deployment.

What the assessment covers

Value, controls and failure modes

The recommendation can be to proceed, change direction or stop. Avoiding the wrong investment is a valid outcome.

The current manual process and its real cost or constraint
Data availability, sensitivity and required integrations
Accuracy and acceptance criteria
Human review and escalation points
Security and access controls
Likely model and cloud operating costs
Failure modes and fallback behaviour

Suitability

A good fit when

A repetitive process consumes meaningful staff time
The process involves documents, text, knowledge or classification
A responsible process owner is available
Representative sample data can be provided lawfully
The organisation will measure the result
Human review can remain where required

Applied experience

AI integrated with real software and workflows

Applied AI · Product

CVExpert.ai

A personal product demonstrating practical implementation experience with AI services, structured workflows and complete user journeys.

Read the experience

Engineering · Integration

.NET, Azure and workflow orchestration

Azure OpenAI and OpenAI integrations, structured model outputs, agents, Azure Functions and conventional .NET engineering.

Explore Azure delivery

Public sector · Controls

Experience where software matters

Delivery in NHS, public-sector and operational environments where reliability, access and human consequences need proper attention.