Responsible AI that staff can actually apply

Turn AI policy into day-to-day decisions.

Practical governance workshops for leaders and teams: confidentiality, approved use, human review, accountability and a clear route when the answer is not obvious.

Working method

Turn policy into four usable decisions

People classify the use, protect the data, review the result and know who owns or escalates the final decision. 01 Classify 02 Protect 03 Review 04 Own evidence review
People classify the use, protect the data, review the result and know who owns or escalates the final decision.
Jon Goodey in conversation during a practical team workshop
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.

01

What needs governing

Separate low-risk assistance from decisions or data uses that need stronger oversight.

02

Data and confidentiality

Define what staff may enter, what must be redacted and which accounts or tools are approved.

03

Accuracy and human review

Set proportionate checks for facts, calculations, sources, tone, bias and professional judgement.

04

Copyright and attribution

Understand the practical questions around source material, generated content and ownership.

05

Roles and accountability

Make clear who owns the prompt, the review, the decision and the record when AI contributes.

06

Policy into practice

Turn principles into usable traffic lights, checklists, examples and an escalation route for staff.

How the engagement works

  1. 1

    Understand current use

    We identify approved and informal AI use, sensitive workflows and areas of uncertainty.

  2. 2

    Tailor the scenarios

    Examples reflect your sector, information types and likely staff decisions.

  3. 3

    Train through decisions

    Participants practise classifying use cases, applying controls and escalating uncertainty.

  4. 4

    Leave with actions

    We capture gaps in policy, tools, ownership and training for the organisation to resolve.

What you take away

  • Leadership or all-staff governance workshop
  • Practical risk-classification framework
  • Safe-use and human-review checklist
  • Scenario exercises relevant to your organisation
  • Policy gaps and action summary
  • Recommended adoption and refresher plan

Read before you decide

AI governance for small and growing businesses

A usable framework for approved tools, confidential data, human review, accountability and escalation.

Read the practical guide

Need ongoing learning rather than a private team engagement? Explore Jon’s AI Essentials learning pathway in a new tab.

Questions teams ask

Is AI governance training only for regulated organisations?

No. Any team handling client information, personal data, commercial plans or externally published work benefits from clear boundaries and accountability.

Does this replace legal or data-protection advice?

No. The training is practical organisational guidance, not legal advice. Where a use case creates legal, employment, privacy or regulatory questions, the appropriate specialist should review it.

Can you review our existing AI policy?

Yes. A policy review can be included before the workshop so the training reflects your rules and exposes areas that staff may find difficult to apply.

Should leaders and staff attend the same session?

Sometimes, but their decisions differ. A leadership session often focuses on risk appetite, ownership and investment, while staff training focuses on day-to-day judgement and escalation.

Can governance training be combined with practical AI skills?

Yes. This is often the strongest approach: teach the boundary and then practise the approved use within it.

Google reviews

What clients say about working with Indexify

5.0 from 6 Google reviews (opens in a new tab)
★★★★★
“Jon has provided excellent support for SEO strategy and implementation for Avicenna Pharmacies across England and Wales, driving impactful results for our brand awareness campaigns. Thanks to his expertise, we achieved top 5 rankings in a remarkably short time. Jon delivered a detailed, structured roadmap with clear tracking metrics, making progress transparent and actionable.”
Nida, Avicenna Pharmacies Review on Google, August 2025
★★★★★
“Our website had been facing some serious technical issues on WordPress and a noticeable drop in SEO rankings, and Jon was incredibly helpful in diagnosing and resolving these problems. He didn’t just fix the immediate problems; he also offered valuable advice on optimizing our site for better search engine visibility in the future.”
Francesca Ranauro Review on Google, January 2025
★★★★★
“Jon and the team were able to offer us clear, concise and accurate support and information during an integral business move when merging our company websites. The team are able to give strategic direction and reliable information at the drop of a hat! Incredibly responsive, could not recommend their services more.”
Emily Walker Review on Google, February 2024
★★★★★
“Thanks to his expertise and unwavering dedication, we’ve catapulted to the first page of Google for our targeted keywords. What truly distinguishes Indexify is their exceptional customer service. Jon is incredibly responsive and attentive to our needs, ensuring that every question or concern is promptly addressed.”
Carl Pike Review on Google, September 2023

Give people a clear way to make responsible AI decisions.

Tell us about the team, the workflow and what has prompted the conversation. We will recommend a proportionate first step.