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AI readiness case study

Turning a recruitment bottleneck into a pipeline.

How a specialist construction consultancy found its biggest growth constraint, recruitment, and built a five-step AI plan around fixing it.

The client

The work was there to be won, and what held the firm back was finding the people to deliver it, with business development resting on one person and senior people spending too much of their week on admin.

The challenge

Recruitment was the biggest headache, with around 30 people a year hired through agencies at contingent fees of 15 to 25% of first-year salary, which for senior roles adds up to a six-figure bill every year.

Business development ran almost entirely through one person's network, and customer data lived across scattered spreadsheets with no CRM.

The starting point

Overall 4 / 10 · Exploring tier

2/5
Strategy
2/5
Data
3/5
People
2/5
Tools
1/5
Process
4/5
Culture
£120k–£250kProjected year-one saving on recruitment
< £30kAnnual cost of the recommended tool stack
5Sequenced initiatives, each with a named owner

Five initiatives, in the right order

I ran the AI Readiness Diagnostic, scored the business across six dimensions and checked the findings against what's happening in the wider market. That produced five initiatives in a set order, each one tied to a problem the client had raised and a projected return.

01
A recruitment pipeline

AI talent intelligence tools to build a bench of pre-qualified contractors the firm can call on, so fewer roles go through agencies. It comes first because it tackles the biggest pain point and carries the largest projected saving.

02
A proper CRM

HubSpot as the one place every client relationship and conversation lives, with its built-in AI, Breeze, filling in contact details and prompting follow-ups.

03
AI-assisted content

A LinkedIn programme producing three quality posts a week that don't read like AI wrote them, tied to the existing marketing workload rather than adding to it.

04
Events as a BD engine

AI-powered prospect research, personalised pre-event outreach and structured follow-up, layered on top of the industry events the team already attends.

05
An operational foundation

Microsoft Copilot properly rolled out across project management, commercial and operations, getting value from licences the firm already pays for.

"The report gave us the sequencing we were missing. It read like someone who actually understood our business, not a generic AI pitch."
Strategy Director, specialist construction firm

Every figure in the plan came from a number the client gave us or a conservative industry benchmark, so the projected savings are a range the leadership team can test against their own results as each step goes in.

Where things are now

Over the summer the project lost momentum, with people away on holiday and the work slipping down everyone's list, and it's proved quite difficult to keep the client's focus through that quiet spell.

The talent intelligence tool, the first of the five steps, is only now being put in place, so there are no results yet and every figure on this page is still a projection. I'll update it as the results come in.

What's the single biggest constraint in your business?

Start with the free diagnostic to find out where AI would pay. It takes around 15 minutes, your score appears on screen as soon as you finish, and an email with more detail follows.

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