BrightSparkAI helps B2B and B2C teams audit, implement and adopt AI.
Employees who use AI with proper training save 11 hours a week — versus just 5 hours for those using it without.
Businesses see £3.70 back for every £1 invested in AI, rising to £10.30 for the highest adopters.
Start with one or run all three end to end. Every engagement is grounded in how your operation works day to day.
A structured review of how your business runs today — a founder session plus role-by-role interviews — delivered as a written report that shows where AI saves the most time and money.
Bespoke automation builds that run without anyone pressing a button — handed over with training so your team can own and maintain them.
Hands-on, role-specific training built around the real tasks your team does every day — live in the room, not slides — with follow-up Q&A once they're using the tools.
Twelve years running operations across B2B and B2C companies — from one-person teams to 1,000-strong organisations. Every recommendation is carefully considered against your business operations and best practice.
Four steps, no mystery. You'll always know what's happening and why.
We dig into your operation, goals and constraints to understand where the value sits.
You get a prioritised, ROI-ranked map of AI opportunities — and the ones to skip.
We design and ship the workflows and tools, with guardrails and measurement built in.
Training and enablement make it stick, so adoption outlives the engagement.
Start with an audit, run a full implementation, or book hands-on AI education days for your team.
A fast, fixed-scope diagnostic of where AI pays off across your operation.
Audit through to live tooling and team enablement — delivered as a project.
Practical, role-specific training that turns an AI-curious team into an AI-fluent one.
Right now, every business is being told they need to use AI. Most are either ignoring it, dabbling with it, or drowning in the options. Very few are actually doing it well — not because they're not capable, but because no one has taken the time to look at how their business actually works and figure out where AI belongs in it.
That's what I do. I work with founders, leadership teams, and organisations across sectors — from growing SMBs to financial services firms and corporate teams — to identify where AI creates real value and put it into practice. Through audits, automation builds, and training that sticks, my clients consistently save thousands of hours a year and reduce costs that had quietly become normal.
I don't deal in theory or generic advice. Every engagement starts with understanding your business specifically, and every recommendation comes with a clear sense of what it will actually deliver.
Everything people usually ask on a first call — answered here so we can get straight to the good stuff.
Still have a question? Get in touch → or book a free 20-minute call.
An AI audit is a structured review of how your business currently operates — and where AI could save you the most time and money. I start with a one-hour session with the founder or senior team, then interview key people in different roles to understand their day-to-day processes.
From that, you receive a written report covering your current setup, specific recommendations for tools and automations, and a projected return on investment for each one. No generic advice — everything is tailored to your actual workflows and the tools you already use.
A recent events company discovered three automation opportunities worth over £100,000 a year in saved time.
AI audits are priced at £500–£2,500 depending on company size and the number of departments involved. For a small team of 2–5 people, you're typically at the lower end. Larger organisations with multiple teams or complex workflows sit at the higher end.
The audit fee is often recovered many times over in the first month of implementing even one recommendation — so most clients treat it as an investment rather than a cost.
Yes. Once the report is delivered, most clients choose one or more of the following next steps:
You can pick and mix, or take a phased approach. There's no obligation to do everything at once.
This is one of the most common questions I get, and a completely valid one. The answer depends on which tools you're using and how they're configured.
Enterprise versions of tools like ChatGPT Enterprise, Microsoft Copilot 365, and Claude for Teams do not use your data to train their models and keep it within your environment. Free and consumer versions have different policies — which is exactly why choosing the right tier matters.
During an audit, I review your specific setup and make sure the tools you're using are appropriate for the sensitivity of your data. For organisations with strict requirements (financial services, legal, etc.), I'll work within your approved toolset — which is often Microsoft-only — rather than recommending new platforms.
I also strongly recommend adding a short AI usage clause to your client contracts, which I can help you draft.
Absolutely — and this comes up a lot. Microsoft Copilot 365 and Power Automate are powerful tools that I work with regularly, and they can achieve a lot without ever leaving your approved environment.
If you have Copilot licenses but your team isn't using them effectively (very common), that's usually one of the biggest quick wins available to you.
It depends on your situation, but here's a practical breakdown:
Many organisations end up using two — for example, Copilot for day-to-day Microsoft tasks and Claude for automation-heavy workflows. I'll make a specific recommendation based on your team's setup and what you're trying to achieve.
Often yes, and this is where I see some of the biggest gains. It's very common for teams to be using AI reactively — reaching for it when a task comes up — without a systematic approach built into their workflows.
The difference between reactive and systematic AI use can easily be 5–10 hours a week per person. An audit helps you identify exactly where those gaps are and build processes that make AI a default part of how your team works, rather than an occasional shortcut.
One client was already saving around 10 hours a week with Claude — but after a structured review, we identified a further 8 hours of weekly time savings through automations she hadn't considered.
Definitely not. My sessions are hands-on from the start. Rather than generic AI theory, we work through real tasks your team actually does — drafting emails, summarising meetings, building spreadsheet formulas, creating presentations — using AI tools live in the room.
Before any session I have a pre-meeting with the founder or team lead to understand the specific roles involved and what they're struggling with. An EA team at a financial services firm needs something completely different from a marketing team at a startup, and the session is built around that.
Sessions typically run as a half day (ideal for focused teams) or a full day when we're covering multiple departments or adding automation basics to the agenda. I also offer follow-up Q&A sessions once the team has had a chance to start using the tools.
This is exactly who I designed the training for. You don't need any technical background — I've trained everyone from EAs and office managers to founders who openly describe themselves as non-technical, and the approach is always to demystify rather than impress.
My favourite analogy for automation: if you can explain how to make a sandwich step by step, you can build an automation. The thinking is the same — it's just translating a process you already know into a set of instructions the tool can follow.
Training teaches your team to use AI tools themselves — prompting, research, drafting, analysis, summarising meetings, and so on. The value compounds as people get more fluent over time.
Automation is about building workflows that run without anyone having to press a button — things like automatically pulling action items from a meeting transcript into your task manager, sending a follow-up message when a form is submitted, or routing emails to the right place.
Whether you need one or both depends on your situation. The audit helps me understand which approach (or combination) will give you the best return.
The numbers from independent studies are consistently striking. A UK public sector trial of 20,000 users found average time savings of 26 minutes per person per day — that's roughly two working weeks a year, per employee. An NHS trial with 30,000 healthcare workers found 43 minutes per day.
For automations, the impact can be more immediate. Examples from recent client work include:
Your results will depend on the size of your team and the specific processes we target — which is exactly why the audit starts with understanding your operations before making any promises.
For training, most people notice a difference within days of the session — not because they've changed everything, but because even a handful of prompts and shortcuts applied to daily tasks adds up quickly.
For automations, the return starts the moment the workflow goes live. A lead capture automation that responds to enquiries instantly rather than the next morning doesn't take long to pay for itself.
The audit report includes an estimated ROI projection for each recommendation, so you'll have a clear picture before you spend anything on implementation.
My clients range from solo founders and small service businesses right through to corporate teams and financial services firms. Recent work has included:
The tools and approach vary by sector, but the underlying challenge is almost always the same: too much time spent on manual, repeatable tasks that AI could handle — or handle better.
This question comes up more and more, especially with B Corp-certified companies and businesses with sustainability commitments. It's a legitimate concern and one I take seriously.
The honest answer is that transparent, granular data on the energy and water usage of individual AI prompts is still limited — the major platforms don't publish it consistently. What I can say is that replacing hours of human effort with a few AI queries generally has a significantly lower carbon footprint than the alternative.
For ESG-conscious clients, I'm happy to work through the intent behind the concern and explore how AI implementation can be designed thoughtfully — including choosing tools and infrastructure providers with stronger environmental commitments where that's available.
Not in the way people worry about. What I consistently see is AI eliminating the parts of a job that nobody actually wants to do — the repetitive admin, the copy-pasting, the formatting, the chasing — and freeing people up to do the work that actually needs a human: relationships, judgement, creativity, strategy.
For EA and PA teams especially, AI is an opportunity to demonstrate far more value to the people they support. The most capable EAs I work with are the ones who've leaned into AI hardest — not because it's replaced them, but because it's made them significantly more effective.
Start with a conversation. I offer a free 20-minute call to get a sense of where you are and what would make the biggest difference — no obligation, no sales pitch. If an audit makes sense, great. If something more targeted is the right first step, I'll tell you that instead.
If you'd rather dip a toe in first, upgrading to Claude Pro (around £18/month) and spending an hour learning to use it well will already change how you work. I also run regular online sessions through Enterprise Nation and other networks.
Both. I'm based in Southend-on-Sea and am in London two to three days a week. Training sessions can be delivered in-person at your office or remotely — the hands-on approach works well either way. For larger corporate training programmes, in-person is usually preferable, and I'm happy to travel.
Start with a free 20-minute call — no obligation, no sales pitch. We'll find where AI fits your operation, and where it doesn't, and map the fastest path to a return.