AI TRANSFORMATIONAI enablement, AI-first products, assistants and operational automation. See where real workflows, responsible human oversight and useful AI capabilities come together.
Client and founder-built work is distinguished from illustrative, synthetic workflow demonstrations.
From identifying the problem to building agents, automations and AI-first platforms, our focus is AI capability that fits real systems and keeps people in control. Explore the active engagement and founder-built AI products below.
See AI-led products, real operating environments and the workflows where assistants, agents and automation can create value. We distinguish active work from deployed, measured outcomes.
A complex multi-venue operating environment with an active AI workstream. We're identifying repeatable work, AI assistant opportunities, operational handoffs and safe automation priorities. The new group website is a public reference for the organisation, not a claim that AI has already been deployed.
A live AI-led migraine information and care-navigation experience, bringing conversation, user-controlled history and practical care pathways together. Clinical decisions remain with qualified clinicians.
A related chronic-illness support platform in the Clea family, showing how AI-assisted information, patient journeys and human support can work together. Not a separate Identify client or a second independent AI outcome.
Built using AI. Indy demonstrates AI-first platform development, connected product workflows and the practical use of AI to turn a concept into a working product. It is founder-built work, not a separate Identify client engagement. No unverified financial results are claimed.
EXPLORE INDY'S WORKHolman Barnes Group is an active engagement with an AI workstream. Identify's focus is identifying repeatable operational work, prioritising opportunities and progressing useful AI-enabled workflows with accountable teams. The group's new public website is a reference for its operating environment, not proof of a completed AI deployment.
Active engagement. Publicly described work; AI outcome figures are not yet published.
SEE THE LIVE GROUP WEBSITE VIEW HOLMAN BARNES GROUP WORKClea is an AI-powered migraine care-navigation platform being developed to help people organise their experiences, explore trusted information and find appropriate care. It brings product design, AI and human support into one connected journey.
Founder-built AI product in development. Not an Identify client engagement or measured client result.
EXPLORE THE CLEA PROJECTIndy is a founder-built AI platform. AI was used in building the product and its underlying workflows, demonstrating practical AI-first product development rather than merely identifying hypothetical AI opportunities. It is a founder project, not a separate Identify client engagement.
Founder-built AI platform developed using AI. Not a separate Identify client engagement.
EXPLORE THE INDY PROJECTOperating recommendations add context, but they do not replace independently verified outcomes from Identify engagements.
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“Simon helped us scale Harrison.ai into a global success story.”
Choose a business problem and see how Identify maps the work, designs the AI support, keeps people involved and measures progress. Scenarios use synthetic example inputs.
Explore a sample 80-person venue group. See how AI could organise incoming enquiries, connect them with the right team and make ownership clearer.
Sample enquiry: ‘I booked a club function but need to change the numbers, ask about access and request a call before Friday.’
Separate the customer problem from the AI tools. Map where requests arrive and who is accountable today.
Team-approved customer responses, with urgent and sensitive requests escalated to the right person.
Baseline time to assign an owner; median first approved response time; reopened requests; exceptions reviewed.
Adjust the sample workload, handling time and potential AI assistance. The calculation shows indicative team capacity based on the inputs you choose.
Synthetic estimate: volume × handling minutes × assistance percentage. Real improvements are measured during implementation.
Start with the opportunity, do the practical work and keep improving it with the people who use it. A simple way of working that scales across teams and sectors.
Where the business is starting from and what needs to change.
The practical workflow, system or customer experience we improve.
How the people doing the work adopt the change.
What changes in time, quality, conversion or customer experience.
What we learn and refine after the first implementation.
Where the successful approach can work next.
We look at practical changes in customer experience, operating capacity, speed, quality and adoption. Identify OS can help teams keep track of their progress as the work evolves.