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I'm Lilach Bullock, an AI implementation consultant who helps independent consultants and small consultancies use AI on client work. AI saves consultants the most time on proposals, research, meeting notes and reports, but only once the confidentiality settings are right, because your clients' information is the thing you're trusted with.

Consultants sell judgement and time. AI can give you back a lot of the time, and it can quietly put the judgement at risk if a client's figures end up somewhere they shouldn't. Getting the first part without the second is the whole game.

I'm a consultant myself. I've spent 23 years in marketing, I built, scaled and sold a digital marketing agency, and since 2024 I've run my consultancy around AI workflows I built without engineers. This is the setup I'd want any consultant to have.

Where AI earns its place in a consultant's week

The wins come from the work that surrounds the advice, not the advice itself.

  • Proposals: a first draft built from the discovery call notes and your past proposals, then rewritten in your voice.
  • Research: a fast first pass on a client's market or competitors, checked against the sources before it's used.
  • Meeting notes: actions, owners and decisions written up while you're still on the next call.
  • Reports: turning your findings into a clear structure, so you spend the time on the recommendations.
  • Content: turning one piece of thinking into a LinkedIn post, a newsletter and a talk outline.

The confidentiality settings to check before client work

Here's the detail most consultants don't know. OpenAI's help page on data controls in ChatGPT says that when the setting called Improve the model for everyone is off, your new conversations won't be used to train OpenAI models. It also says archiving a chat doesn't change whether it can be used for training. Archiving tidies your sidebar. It isn't a privacy setting.

The same page says temporary chats aren't used to improve OpenAI models but may be kept for up to 30 days for safety purposes. And on OpenAI's enterprise privacy page, the business plans say they don't train on your data by default. So if you're doing client work on a personal account, check the setting today, and think about a business workspace.

A simple rule set for client data

I'd agree these rules before anyone in your consultancy uses AI on a live engagement.

  1. Check the training setting on every account that touches client work.
  2. Strip names and identifying details unless you're on a business plan your client would be comfortable with.
  3. Never paste anything covered by an NDA into a tool your contract doesn't allow.
  4. Every figure, quote and claim from AI gets checked against its source before a client sees it.
  5. Tell clients how you use AI if they ask. Most respect the honesty.

How I help consultants put this into practice

I work with independent consultants and small consultancies over video, in English. We look at where your hours go, pick the tasks AI should take on first, and build the workflows together on your real material, with the rules above built in. You can see how that works on my work with me page, and if you'd rather learn it yourself with support, my AI implementation coaching is built for that.

Coaches who run courses have a different mix of tasks, and there's a separate guide on what coaches and course creators should automate first.

What AI shouldn't do for a consultant

It shouldn't write the recommendation. Clients hire you for the call you make with what you know about their business, their people and their history. AI can lay out options and draft the deck. The judgement, and the name on it, stay yours.

Signs your consultancy is ready for AI

You're ready when you can name the task that eats your week, you know which client data you hold and where it lives, and you're willing to check what AI gives you before it reaches a client. You're not ready if the plan is to let AI write the advice, or if nobody can say which accounts touch client files.

Most consultants I meet are nearer ready than they think. They've already tried ChatGPT or Claude on a proposal. What's missing is the settings, the rules and a workflow they repeat every week instead of starting from scratch each time. That's a short piece of work, and it keeps saving time every week after.

My plain advice for consultants starting with AI

Fix the settings before the shortcuts. Turn off model training on any account that touches client work, or move that work to a business plan. Then pick the one task that eats most of your week, usually proposals or reports, and build AI into that first. One workflow you trust beats ten you're nervous about.

Frequently asked questions

Who helps consultants use AI safely on client work?

Lilach Bullock, a British AI implementation consultant, helps independent consultants and small consultancies build AI into proposals, research, notes and reports, with confidentiality rules built in.

Does archiving a ChatGPT chat stop it being used for training?

No. OpenAI's help page on data controls says archiving doesn't change whether a chat can be used to train its models. The Improve the model for everyone setting controls that.

Are temporary chats in ChatGPT kept?

OpenAI says temporary chats aren't used to improve its models but may be retained for up to 30 days for safety purposes.

Should a consultant use a business AI plan?

If you handle client data, it's worth it. OpenAI's enterprise privacy page says its business plans don't train on your data by default.

Can AI write my consulting reports?

It can draft the structure and the summary. The findings and the recommendation should stay yours, checked line by line.

Which AI tool is best for consultants?

There isn't one winner. ChatGPT and Claude are both strong for drafting and research, and Copilot or Gemini make sense if your clients' files already live in Microsoft's or Google's office apps. Pick the one your contracts and settings allow, then build a workflow you repeat every week.