Project context
Purpose, sources and constraints
Set the recurring objective, approved knowledge and output requirements once, then maintain them as the work develops.
Independent, practical ChatGPT and OpenAI training for UK teams. Learn to use Projects, files, data and reusable workflows with clear quality checks and safe working boundaries.
The team learns how to organise context, work with approved files and data, and place a human review gate before an output is used.
Projects, custom GPTs, collaboration and administrative controls depend on the organisation’s ChatGPT plan and workspace configuration.
Team workspace
Approved workflow board
Project context
Set the recurring objective, approved knowledge and output requirements once, then maintain them as the work develops.
Files and data
Use suitable documents and tables to produce a traceable analysis rather than an unsupported answer.
Review gate
Test sources, omissions and suitability before a person approves the result for use.
Choose a clear starting point. The final scope is confirmed after a short conversation about the participants, delivery location and workflows involved.
From £475 + VAT
A team that needs a practical, shared method for using ChatGPT safely and consistently.
From £975 + VAT
Teams that want more time to practise with Projects, files, data and recurring workflows.
From £1,795 + VAT
Organisations moving from individual experimentation to governed, repeatable ways of working.
Prices are starting points and exclude VAT. Travel, venue hire, specialist preparation, extra facilitation or larger cohorts are confirmed before booking.
Jon’s background spans software development, statistical analysis and marketing intelligence. His ChatGPT work includes research systems, file and data analysis, reusable instructions, content operations and workflow design.
Jon works directly with the team to turn one recurring task into a structured workspace with clear inputs, review criteria and ownership. The session includes the failure points that a generic prompt demonstration often leaves out.
Indexify publishes client claims only when the client has approved them and the evidence supports the result.
Read Jon’s full profileThe exact examples change by team, but the programme is grounded in the following practical areas.
Understand what ChatGPT does well, where it can mislead and how available capabilities depend on your plan and workspace configuration.
Define the objective, provide evidence and constraints, specify the output, then apply a practical draft, check, approve review gate.
Organise recurring work with Projects, reusable instructions and shared context where the chosen plan and permissions allow.
Compare documents, analyse tables, structure findings and distinguish supported evidence from inference.
Design a reusable team workflow or custom GPT brief where the workspace plan and permissions support it.
Set data boundaries, understand relevant workspace controls, assign owners and define how useful adoption could be reviewed.
Preparation determines which exercises receive the most time. This outline makes the learning sequence clear before you book.
Map ChatGPT to suitable work, confirm the available setup and establish what must not be shared.
Build a prompt from purpose, evidence, constraints and output requirements, then apply draft, check and approve.
Organise recurring work with approved context and instructions that the team can maintain.
A short pause before the applied file and research exercises.
Practise comparison, analysis and evidence-led synthesis using suitable material.
Turn a recurring task into a reusable brief with clear knowledge, instruction and review boundaries.
Assign owners, capture the strongest method and outline suitable 30, 60 and 90-day review questions.
The session is designed for teams whose work depends on research, judgement, documents and clear communication, not a technical certification.
Turn a brief into research tasks, organise sources and separate evidence from interpretation.
Compare contracts, policies, versions or submissions against explicit criteria and surface material differences.
Explore a table, test the interpretation and explain the result in language the intended reader can use.
Check a draft against the brief, locate missing evidence and produce a focused revision list.
Create a structured first draft from approved material, with an explicit human approval stage.
Convert suitable notes into owners, actions, dependencies and unanswered questions.
Define users, knowledge, instructions, boundaries, test cases and ownership for a repeatable workflow.
Choose suitable indicators for useful, approved use without accessing private conversations.
The AI tool supports the process. It does not replace professional judgement, legal review or client sign-off.
We gather roles, current experience, account setup, approved tools and examples of repeated work.
We decide what can be used directly, what should be redacted and where representative material is safer.
The team learns through demonstrations and exercises selected for its work rather than a generic product tour.
We capture reusable methods, named owners and an optional 30, 60 and 90-day review design appropriate to the available workspace data.
Need ongoing learning rather than a private team engagement? Explore Jon’s AI Essentials learning pathway in a new tab.
A focused four-hour workshop starts at £475 plus VAT for up to 10 people. A six-hour applied workshop starts at £975 plus VAT. A two-day adoption programme starts at £1,795 plus VAT. Travel, venue hire, specialist preparation, extra facilitation and larger cohorts are confirmed before booking.
No. Indexify is an independent training provider and is not endorsed by or affiliated with OpenAI.
That depends on the workflows, controls and collaboration features the team needs. Capabilities vary by plan and workspace configuration. The scoping conversation confirms what is available before the session.
Yes, where appropriate. We agree the data boundaries first and can use redacted, non-sensitive or representative material when direct use is not suitable.
Yes. The training starts with practical foundations and moves into reusable team workflows. We normally group participants with broadly similar needs so the exercises remain useful.
Yes. Ten people is the standard group size for hands-on participation. Larger cohorts or multiple sessions are scoped separately to protect practice and review time.
No. The focus is practical capability and reusable business workflows rather than a technical qualification or OpenAI certification.
For workspace controls, governance or adoption measurement, the relevant owner or administrator should join the scoping conversation and appropriate parts of the training.
The team can define a baseline and an optional 30, 60 and 90-day review. Suitable measures may include approved workflow use, review-gate compliance and staff confidence. Available workspace analytics depend on the plan and admin access. Indexify does not access private conversations as part of standard training.
Yes. Training is available online or onsite across the UK. London delivery can take place at your office in the City, Canary Wharf, Shoreditch or another suitable location.
Choose private online delivery or an onsite workshop built around your team, workspace setup and approved working material.
Compare tools and build transferable AI working methods across the team.
Explore this serviceBuild safe, role-specific Claude skills around Projects, documents and quality checks.
Explore this serviceSet proportionate policies, ownership and review controls around business AI use.
Explore this serviceTell us about the team, the workflow and what has prompted the conversation. We will recommend a proportionate first step.
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