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Built Around Us · AI Advisory

Should
you?

Not can you. Not how fast. The question nobody in AI is asking and the one that matters most.

Two conversations. One honest question.

Every AI conversation in business is happening in two places at once. In the boardroom, where leaders weigh investment, risk, and competitive pressure. And at the coalface, where people are already using tools nobody officially approved.

Both conversations need to happen. Most organisations are having neither.

For leaders

The honest question is whether AI belongs here at all, and if so, where, governed by what, and at what cost to your people.

For teams

The honest question is why you are already using tools your employer has not sanctioned, and what that says about the gap between your needs and what you have been given.

What leaders see.
What teams experience.

Most AI strategies fail not because the technology is wrong, but because they are written for one group and delivered to both. Understanding the gap is where the real work starts.

What leaders are thinking

We need an AI strategy. The board expects one. Competitors are moving.

How do we implement this responsibly without exposing the organisation to risk we cannot see yet?

What does this do to our headcount, our liability, our data?

We have had three pitches this month from consultancies with slide decks full of productivity statistics.

What teams are already doing

Using ChatGPT, Copilot, or Claude for tasks they would never admit to in a team meeting, because it works.

Pasting client data into AI tools without fully understanding the data governance implications.

Feeling two things at once: ahead of the organisation, and quietly anxious about what it means for their role.

Waiting for someone to have an honest conversation with them, not issue a policy document.

Shadow AI is not a compliance problem. It is a communication failure. People reach for unsanctioned tools because the sanctioned ones are not good enough, or because the conversation about AI has happened above their heads rather than with them. Until organisations understand why it is happening, any strategy built on top of it is built on sand.

Start the conversation.

Four tools. No email required to access them. Take them, use them, share them. If they are useful, you know where to find us.

One type of engagement.
Two sizes. Transparent pricing.

No packages, no tiers of access, no upsell buried in the small print. Here is exactly what the work is, what it costs, and what you get. The answer to should you might be no, and we will tell you that too.

Founding client pricing, first 12 engagements only
Small Org
The "Should you?" Diagnostic
For smaller businesses and early-stage organisations
£1,250
Fixed fee + VAT · Apply to check eligibility
Compressed but complete
  • 90-minute leadership session
  • 2 x team conversations
  • Shadow AI audit and landscape review
  • 6-page written report with clear recommendations
  • 30-minute debrief call
Under 10 employees, or pre £1m turnover, or founder-led at an early AI decision point. Drop us a note and we confirm within 24 hours.
Monthly Advisory
For organisations that want ongoing counsel
£850
per month + VAT · 3-month minimum · then 30-day rolling
Available only to diagnostic clients
What you get each month
  • Monthly 60-minute strategy call, scheduled not ad hoc
  • Async questions, up to 3 per month, responded to within 48 working hours
  • Quarterly 90-minute review session
  • Access to all BAU resources and tools as released
  • Named contact. Not a ticket system. Not a junior.
What this is not
  • A retainer that exists to justify itself
  • Unlimited access or on-call availability
  • A pipeline to a larger implementation project
  • A subscription to reports and slide decks
  • A contract that renews silently without a conversation

We will tell you if the retainer stops being useful. We would rather lose the revenue than keep a client who is not getting value.

On transparency: These are founding client rates, explicitly set at a level that is accessible while the practice establishes. They will rise as credentials develop and capacity fills. Clients who join early will not be subject to increases while they remain engaged.

Anti-traditional.
By design.

01
We get in the dirt

Not postbox consulting. We navigate change with people, leaders and teams both. The answer lives somewhere between the boardroom and the coalface, and that is where we spend our time.

02
We price clearly

Fixed fees. Published prices. No discovery calls designed to qualify budget before you see a number. What you see is what we charge. That is a principle, not a promotion.

03
We might say no

The honest answer to should you is sometimes not yet. We will say that if we believe it, and we will not take the work if we do not think it serves you. The relationship matters more than the invoice.

This is bigger than
any one organisation.

The conversation about AI and people needs more voices. Not corporate voices. Human ones.

Join the waiting list and you get early access to the portal, the community, and everything Built Around Us builds next. No sales sequence. No newsletter. Occasional, relevant thinking from someone in the dirt with you.

Leave your email and we will be in touch when the portal opens.

Book a conversation.

No pitch. No deck. A 30-minute call to find out whether any of this is relevant to where you are right now. If it is not, we will tell you.

Choose a time

30 minutes · Free · No obligation · cal.eu/builtaroundus

Chris
Midgley
Human in the Loop · Built Around Us
ChPP · Chartered Project Professional
MAPM · Member of APM
CCA-F · Claude Certified Architect, in progress
ISO/IEC 42001 · AI Management Systems, in progress
Founder · ProEvo.ai

I am a chartered project manager and trusted advisory partner specialising in artificial intelligence. For over twenty years, I have navigated change with people, not for them, not above them.

I started Built Around Us around one question: should you? Not can you, not how fast. Whether AI actually belongs and on whose terms.

I am framework and model agnostic, and local first. The cloud is not yours.

I am unapologetically human and do make mistakes. Do not mistake reflection for certainty. My views are my own, at my own risk. No corporate theatre here.

When I am not working, I am chasing around two daughters, failing at golf with great enthusiasm, and drinking whisky. No e. It matters.

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