Sample Strategy Blueprint · fictional client, real format ← Back to Aigentic
Sample · 2026
Strategy Blueprint
Reynolds & Co
What the MD's own answers reveal about where the margin is leaking, on work the business has already won.
Prepared for
Jane Reynolds, MD
Prepared by
Raphael Queisser
From
A 30-minute Discovery Meeting
Raphael Queisser
rq@aigentic.co.uk
aigentic.co.uk
Illustrative sample. Reynolds & Co is a fictional structural-steel fabricator, used to show the exact format and depth of a real Blueprint without exposing a client's numbers. Yours is built entirely from your own Discovery Meeting.

The verdict: does AI fit Reynolds & Co?

Yes, but not where you're looking.

You told us the problem is the pipeline: too much of the work coming from too few contractors, and a need for more of it. Your own answers describe a business that is winning plenty. The margin leaks after you win. Price the same steel package through two of your estimators and it comes out about eight per cent apart, because each one prices off their own spreadsheet. Then jobs run over on the floor, and nobody sees the hit until the year-end accounts land.

The highest-value thing AI can do for Reynolds this year is make a job cost the same whoever prices it, and show you the margin while the job is still running rather than a year after it finished. Fixing what you keep is faster and cheaper than chasing more of what you win.

You are not short of work. You are short of a way to see the money leaving.

01  Executive Summary

1
Your diagnosis and your evidence disagree. You named the referral-only pipeline as the thing to fix. Across the rest of your answers you described an eight per cent spread between estimators on the same package, and jobs whose real margin nobody sees until year-end. Those are margin failures on work you already won, not a shortage of enquiries.
2
One priority is triggered: margin erosion. On £8.5M of turnover at a thin fabrication margin, a couple of points of drift across a year of jobs is roughly £170K. It compounds quietly, because nothing measures it. This overrides normal sequencing.
3
The risks you carry today. Pricing lives in spreadsheets and two estimators' habits, so a departure takes real margin judgement with it. Job costing only resolves at year-end, far too late to act on. And your top three contractors are a large share of revenue, so the pipeline you named is also a concentration risk.
4
What AI should do here, in order, and the free fixes underneath it. Make pricing consistent, so a package costs the same whoever quotes it. Make job margin visible every month, so an overrun surfaces while you can still act on it. Then build a second channel beyond referrals. Two of those have a free first step you can start this week: one rate card, and a job margin someone actually reviews each month.

02  The Next Three Years: AI moves into structural steel

1. Buyers shortlist through AI before they call.
Main contractors and structural engineers are starting to scope steel packages and shortlist fabricators with an AI assistant before anyone picks up a phone. If the assistant doesn't name Reynolds when someone asks who fabricates structural steelwork in your region, you are not on the list, and you never find out you were dropped. Most fabricators have no presence there yet, which is exactly why it is winnable now.

2. Estimating stops being a craft and becomes a system.
The pricing judgement in an experienced estimator's head, how a connection detail drives labour hours, what steel-price movement does to a job priced today and delivered in three months, which packages are quietly unprofitable, is exactly what AI is now good at encoding. The firms that hold their margin through the next few years are the ones that captured that judgement instead of leaving it in two people's spreadsheets.

3. Job costing goes real-time.
Knowing a job's true margin while it is still on the floor, not at year-end, is about to become normal. That changes which work you chase and which you decline, because the thin jobs stop hiding inside a healthy-looking annual number.

Where you fit Where Reynolds sits inside each of these shifts, and the specific moves that follow, is exactly what the AI Foundation maps in detail.

03  What We Found

Drawn from your Discovery Meeting. Single-interview engagement (MD only), so this is the founder's view, not a triangulated cross-role synthesis.

Where the margin leaks

Critical1. The same job prices two ways
What's happening. Each estimator builds a quote from their own spreadsheet and their own judgement. Price the same steel package through two of them and it lands about eight per cent apart. Nobody can say which number was right.
Root cause. Pricing knowledge lives in two people's heads and a folder of old spreadsheets. No single rate card, no standard build-up, so the price depends on who happens to pick up the enquiry.
Cost of leaving it. Direct margin, given away one quote at a time and invisibly. On a thin fabrication margin, the difference between the high and low estimator is the difference between a job worth taking and one that loses money.
Critical2. You can't see a job's margin until it's over
What's happening. Jobs run over on labour hours and steel wastage, and the real margin only resolves when the year-end accounts are assembled. By then the job is long finished and the money is gone.
Root cause. No monthly job-costing view. The numbers exist, scattered across the accounts and the job records, but nobody pulls them together while there is still time to act.
Cost of leaving it. You learn which jobs made money a year too late to change anything, and the thin ones hide inside a healthy-looking annual figure until they don't.
High3. Cash is tied up in applications and retentions
Applications for payment and retention release sit on a spreadsheet only the bookkeeper fully understands. Retentions get forgotten and chased late, sometimes a year late. That is your own money, already earned, sitting unclaimed on a business where a couple of margin points matter.

Risk

What we couldn't size yet

Your enquiry-to-despatch chain is full of repetitive, rules-based work, and some of it is a candidate for removal. But the Discovery Meeting was a strategic interview, not a stopwatch walk of the floor, so nobody asked how many hours a week each task eats. We won't invent the number. Half an hour on the floor fixes that.

04  Why Act Now

One priority passed the test. We looked hard for a second and did not find one that met the bar. Padding this section would waste your attention.

Priority 1Margin erosion, from pricing you can't standardise and jobs you can't see
The trigger: a direct profit leak on a thin-margin business. A couple of points of drift across a year of jobs is roughly £170K at £8.5M of turnover, and it compounds quietly because nothing measures it. You told us you suspect you are losing "a few points". Nothing you have today can tell you where.
Why scoring alone would miss it. Mechanical task-scoring ranks work by hours and repeatability. Estimating and job costing look unremarkable on that basis: a few people, a few days a week, nothing alarming. It cannot see that those same quiet tasks are silently setting the margin on every job in the business.
The decision behind it. Reynolds has to decide whether pricing and job costing become documented, system-supported functions, or stay a matter of which estimator was free that week and which numbers surfaced at year-end. Doing neither means hoping the next thin job is the last one, which it will not be.

05  What To Do

Verdict: YES. The fastest return is on work you already have.

Three moves, in the order they matter to Reynolds. Each one starts with something free you can do this week, then the AI that makes it stick.

The base: your AI Foundation

The AI Foundation is simply the business, written down in a form AI can use: your numbers, your customers, your rate card, how a job actually flows from enquiry to final account. Without it, every AI answer is generic. With it, the answers are yours. All three moves sit on top of it, and it earns its place on its own as a thinking partner you can ask anything about the business. (~30 days, kickoff to handover.)

Move 1. Price every job the same way

The biggest single move available
Do it yourself, this week: put both estimators in a room and write one rate card and one standard build-up. Free, and it removes most of the eight per cent spread on its own.

Then the AI. An estimating assistant that reads the fabrication drawings, produces a first-pass take-off, and prices it against that single rate card, so the estimator checks a draft instead of starting from a blank sheet, and the number no longer depends on who picked up the enquiry.

Why it's first. It attacks the margin leak at the point the price is set. Every other move measures or reports the problem; this one removes its cause. It is also a genuine bet worth naming: nobody has written down how your estimators build a price, so the first month is capture and the second is build. We don't start building before we know what it has to do.

Move 2. See the margin while you can still act on it

Monthly job costing, P&L and cash · an AI finance director
Do it yourself, now: pick the three biggest live jobs and have someone reconcile their actual cost against the quote this month, by hand. Rough, but it shows you the leak before anything is built.

Then the AI. Margin by job and by month, the drivers underneath the numbers, a pack built automatically on a fixed date, and a live view of what you're owed, including which retentions fall due.

Why AI does this better than a person. The pack isn't late through incompetence. Assembling it is a manual job that always loses to whatever is on fire. AI produces it on the same date every month whether anyone chases it or not, and it tracks the drivers, so a job running thin surfaces while you can still act on it rather than a year later when you can only regret it.

Move 3. Get found when buyers ask an AI

Content and AI visibility · an AI marketing manager · starts quietly now
Do it yourself, now: ask an AI assistant who fabricates structural steel in your region, and see whether Reynolds is named. That's your baseline, and it costs a minute.

Then the AI. It plans and writes content in your voice on a schedule, and runs AEO (Answer Engine Optimisation): making sure Reynolds is named when a contractor asks an assistant for a steel fabricator. The new version of showing up first on Google, except the buyer now asks an AI and acts on the two or three names it returns.

Why not first. AI visibility takes months to move, so the baseline starts now. But it does not fix this year's margin, and it shouldn't take your attention while the same job still prices two ways. The pipeline you named gets solved here, once the leaks above are closed.

06  Expected Impact

This section would normally put a number of hours a week against each move. We can't do that yet, so we haven't.

Figures are directional and use Reynolds' own estimates where the Discovery Meeting captured them. Where hours could not be captured, we have said so rather than estimated.

Recommended next step

Three things, in this order. One: write the rate card, a day with both estimators, no AI, and it removes most of the spread on its own. Two: give us half an hour on the floor about volumes, so the next version of this document puts real numbers where the gaps currently are. Three: build the AI Foundation, then the estimating assistant and the monthly job-costing view run on our side.

07  Snapshot

Jane Reynolds · Managing Director
Where it's stuck: the same steel package prices about eight per cent apart depending which estimator quotes it, and no job's real margin is visible until the year-end accounts.
Risk: margin leaking through pricing she cannot standardise and jobs she cannot see, on a business where a couple of points is £170K. Every commercial decision sits with her, and none of them is currently evidenced.
Opportunity: she is losing margin on work she has already won. That is cheaper to fix than chasing more of it, and one of the fixes costs a day and a rate card.

One interview (MD). Single-voice engagement, so no cross-checking against other roles was possible, and no cross-cutting themes have been invented from one account. Where Jane's diagnosis and her evidence disagree, we have surfaced the disagreement rather than resolved it. That is her call, and it is the first question we would like her to answer.

Appendix: About this sample

Reynolds & Co is invented. The numbers, the names and the situation are illustrative, chosen to show a typical SME shape: a sound operation with money leaking through processes nobody has had time to fix.

What is real is the format. Every Blueprint follows this structure: a straight verdict, an executive summary, where the industry is heading, what we found, why to act now, what to do in the order that matters to you, the expected impact, and a per-person view. It is built entirely from your own Discovery Meeting, and it is yours to keep whether or not you go further.

Want one for your business?

A Discovery Meeting takes 30 minutes. You walk away with a Blueprint like this one, built on your business, not a fictional one. rq@aigentic.co.uk