Your business has more intelligence than you think.

Then the confidence to act on it.

A consulting practice for founders and leaders who want to read their own business clearly, before they invest in another tool, hire, or platform. The Intelligence Audit is where we usually begin.

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Previous project work for
Sony · Virgin Atlantic · Grind · Staysure · SunLife · Ocado · partnerships with Disney
01 The Opportunity

Foundations before tools.

Every business already holds more intelligence than it uses. The right tools sharpen what is there. The wrong ones bury it.

Common questions behind the work
i.

“We’re spending more on data than ever. Why do I still not trust the numbers?”

ii.

“Everyone’s talking about AI. We bought the tools. Nothing’s actually changed.”

iii.

“I know something’s broken. I just can’t see where.”

More often than not, the problem is not the technology. It is the foundations underneath it.

Most businesses buy the answer before they ask the question. We start with the question.

Bhavneet Rehal Saini Bhavneet Rehal Saini, Consultant
02 About

Fifteen years of listening to the business first; the data second.

Most of the businesses I work with arrive with the same problem. They have more data than they can use, and less confidence in it than they need. Something is on the table (a platform, a hire, a tool), and none of it feels certain. They do not need more options. They need someone to read what they already have, and say what is there.

Mathematics at Waterloo, then design at Central Saint Martins. Fifteen years since, running businesses across industries and working inside them. I bring two instincts to the work at once: the mathematician who wants to know what the numbers say, and the operator who wants to know what they mean.

This is the consulting practice I wish had existed when I was the one buying it. I am also co-founder of Wellfounded, where we bring AI to the women doing ambitious work: founders, operators, and everyone in between.

03 How It Works

The Intelligence Framework.

A diagnostic in four stages. The output is specific: a map of your data, three opportunities ranked by impact, and the first moves to make.

i.

Discovery

Week 0
i. Discovery

A first conversation.

Your business, your goals, where you'd like to be. Thirty minutes. A conversation, not an interview.

ii.

The Audit

Weeks 1–3
ii. The Audit

Mapping the landscape.

I map your systems, trace how your data flows, and identify the three opportunities that matter most.

iii.

The Report

Week 4
iii. The Report

Diagnosis on the page.

Recommendations ranked by impact and effort. A sequenced roadmap your team can follow.

iv.

The Debrief

Week 4 & 8
iv. The Debrief

Walking it through.

We walk through everything together. Plus a thirty-day follow-up to keep momentum.

04 What You Leave With

Four things, made specific.

A diagnosis written for your business, specific enough to act on Monday morning.

i.

A complete data landscape map.

Every system, every source, every connection, documented and visualised. When you need an answer, you know exactly where to look and what the number means.

ii.

Three opportunities, ranked by impact.

Not generic. Three specific opportunities unique to your business, scored by impact and effort, so you know where to start on Monday and why it matters.

iii.

A ninety-day action plan.

Hand it to your team or follow it yourself. Week by week. The kind of roadmap that makes a new hire productive from day one and keeps a busy founder focused.

iv.

The confidence to act.

Evaluate any tool, any platform, any vendor from a position of genuine understanding. The shift from guessing to knowing is what the Intelligence Audit delivers.

05 Case Notes

Three notes from the work.

Short accounts of engagements completed under non-disclosure.

i. Aquaculture
A 150-year-old Scottish salmon producer

Two teams, one version of the truth.

A century of farming salmon. Expert biology, mature finance, two teams each confident in their numbers. But when leadership asked a simple question (what does it cost to raise a healthy fish?), they got two different answers. Not missing data. Misaligned data. A 'cohort' meant one thing to biology, another to finance. A 'cycle' had different start and end points depending on who you asked. We started with the humans before the spreadsheets. Two teams, one dataset, validated twice. Biology signed off: these are our fish. Finance confirmed: these are our costs.

200+cohorts unified
2teams aligned
1source of truth

The most valuable data work is the unglamorous kind: getting everyone to agree on what the numbers actually mean.

ii. Fintech
A London-based FX trading firm

Before the first prompt.

They wanted AI-powered insights on an institutional dashboard. The data was there. The dashboard was working. They thought they needed someone to write prompts. Within a week it was clear the problem wasn't the AI. It was the data underneath. The system had been built on C# over several years by developers who had since left. No documentation, no saved formulas, no record of how any calculation was derived. Writing prompts against this would have generated confident AI insights based on calculations nobody could verify. In FX, that isn't a mistake. It's a compliance risk. I reverse-engineered the SQL, documented every formula, and worked with the dealers before writing a single prompt.

3months
3production-ready prompts
1documented system

AI doesn't fix bad data. It amplifies it. The real work happens before the first prompt is written.

iii. Financial Services
A global financial services company

Sixty reports. No insight.

An analytics team drowning, not in data but in requests. Every department wanted reports. Every executive had a quick question. Every week brought new dashboards to build and old ones to update. They were producing sixty reports. Tables, graphs, exports. What they weren't producing was insight. The reports showed data; they didn't answer questions. I built the operating system they had never been given: intake, prioritisation, scoping, design standards. Every request had to justify its existence. Every output ended with a recommendation, not just a chart.

3months
60+reports rationalised
1team working from a framework

An analytics team without a framework will always be a report factory.

06 The Audit

The Intelligence Audit.

One offering, shaped to fit. A written diagnosis of what your business already knows, what it cannot yet see, and what to do about it. Written for you, not templated. Delivered as a document you can act on, not a deck you will file away. The scope adjusts to the size of your business. The methodology does not.

What you get
  • Sixty-minute kickoff call
  • Review of the data your business is already generating
  • Three highest-impact opportunities, ranked
  • Intelligence Report (15–20 pages)
  • Ninety-day prioritised action plan
  • Debrief session to walk through the findings
  • Thirty-day follow-up call
How it runs
  • Four to six weeks from kickoff
  • Non-disclosure as standard
  • Delivered as a written diagnosis, not a deck
  • Designed to be complete on its own
  • Implementation support available separately, if you want it
Fees
i.

Growing.

Revenue £200k–£3m · Four weeks from kickoff

£3,500
ii.

Established.

Revenue £3m–£50m · Six weeks from kickoff

£8,500
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07 FAQ

You're probably wondering.

The audit starts with your business, not with technology. The methodology is specific, bounded, and built from fifteen years of work across industries. The deliverable is not a deck. It is a plan you can act on.

You have a plan you can run with independently. Most clients do. If you'd like help implementing the top recommendations, I offer project-based and retainer options. But the audit is designed to be complete on its own. It is a map. Where you go with it is your call.

I've worked across financial services, healthcare, aquaculture, retail, events, insurance, and e-commerce. But the Intelligence Audit is not industry-specific. It is business-specific. Every business is as unique as a fingerprint. That's where the work starts.

The audit is designed to find opportunities you have not already surfaced. In fifteen years of this work, every engagement has delivered material findings. If you believe yours will be the exception, the Discovery Call is where we'll establish that, before we start.

08 Begin

Ready to see what your business already knows?

We'll talk through your business and decide together whether the Intelligence Audit is the right next step.

Bring your questions. I'll bring mine.