Focused diagnostic
Best for
A leadership team deciding where AI is worth pursuing.
Typical output
Opportunity map, risk view and prioritised next steps.
AI consultancy and implementation
AI consultancy for UK organisations
Indexify helps UK organisations find the right AI opportunities, set sensible boundaries and turn the strongest use cases into working, adopted processes.
Working method
From opportunity to an adopted AI workflow
Engagement options
Start at the smallest level that can answer the decision
The scope is agreed around the workflow, people, systems and evidence required. You do not need to commit to a large programme before a focused diagnostic or pilot has earned it.
Workflow discovery
Best for
A known process that is slow, inconsistent or difficult to scale.
Typical output
Workflow specification, controls and implementation options.
Pilot and implementation
Best for
A prioritised use case with named users and available source material.
Typical output
Tested workflow, documentation, handover and measurement plan.
Adoption programme
Best for
Several roles that need governance, practice and support over time.
Typical output
30 to 90-day plan, AI Champions and reusable resources.
Evidence standard: Indexify only publishes client names, figures and quotes when the evidence and permission are available. A first engagement therefore defines the baseline and the measure before promising an outcome.
Founder-led and grounded in the room
The questions people actually ask shape the session.
Jon works directly with the team, using its roles, documents and live challenges to make the material useful beyond the workshop.
The aim is not tool excitement. It is a shared method people can repeat, review and improve once they are back at work.
Built around real work
A useful programme, not a generic tool tour
The exact examples change by team, but the programme is grounded in the following practical areas.
Opportunity and readiness audit
Map repeated work, current tools, constraints and data sensitivity before recommending a build.
Use-case prioritisation
Score opportunities by value, feasibility, risk and adoption effort so the roadmap starts with credible wins.
Workflow design
Define the inputs, prompts, source material, human decisions and quality checks needed for dependable output.
Tool and model selection
Choose the simplest appropriate combination of Claude, ChatGPT, Gemini, automation tools or a custom interface.
Governance and measurement
Set data boundaries, owners and success measures that remain usable after the initial project.
Implementation and adoption
Prototype the strongest workflow, train the people involved and improve it with evidence from real use.
How the engagement works
- 1
Focused discovery
We understand the business goal, repeated work and existing systems.
- 2
Prioritised roadmap
You receive a practical view of what to test now, later or not at all.
- 3
Pilot the strongest case
We build or stage one useful workflow with real users and sensible controls.
- 4
Embed and measure
We document the method, support adoption and track whether it saves time or improves the work.
What you take away
- AI opportunity and readiness assessment
- Prioritised use-case register with risk and value scoring
- 90-day implementation roadmap
- Workflow specification and governance requirements
- Pilot, prototype or implementation scope
- Team handover, training and measurement plan
Read before you decide
What does an AI consultant actually do?
A plain-English guide to strategy, implementation, costs, readiness and choosing a first pilot.
Read the practical guideNeed ongoing learning rather than a private team engagement? Explore Jon’s AI Essentials learning pathway in a new tab.
Questions teams ask
What does an AI consultant actually do?
A useful AI consultant connects the technology to a business process. That means identifying worthwhile opportunities, defining data and quality controls, choosing appropriate tools and helping the people involved adopt the resulting workflow.
Do we need to know which AI tool we want?
No. Tool selection comes after the workflow and constraints are understood. Starting with a product often creates unnecessary subscriptions or a system nobody uses.
Can you build the recommended workflow?
Yes. Indexify can move from assessment into prototypes, automations, dashboards, internal tools and team training. The implementation is scoped separately so you can act on the roadmap with us or another supplier.
How do you handle confidential data?
We define the data boundary before testing. The approach may include approved enterprise accounts, redacted examples, restricted sources, access controls and a clear list of information that must not be entered into a public AI service.
Is this only for marketing teams?
No. Marketing, research and reporting are common starting points, but the method applies to operations, HR, professional services, finance support and other document-heavy work.
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Tell us about the team, the workflow and what has prompted the conversation. We will recommend a proportionate first step.
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