Impact Study  FY25

AI Resource Planner

Replacing manual spreadsheet scheduling with an AI engine that matches the right people to the right projects, instantly.

Function
Factory Operations
Company Size
400+ FTE
Delivery Model
Development POD
Industry
Art Manufacturer
Scheduling on gut feel. Losing margin on every project.
The organisation is a mid-sized manufacturing services firm running 40–60 concurrent projects across design, engineering, and implementation. Resource allocation was managed entirely through spreadsheets and informal conversations between delivery leads — a system that worked when the business was smaller, but had become a serious operational constraint. Bench time was invisible, skills were mismatched to project needs, and last-minute scrambles to fill roles were costing both margin and staff morale.

Impact Metrics

Measurable Business Impact

Delivering measurable improvements in efficiency, cost savings, and operational performance.

2 hrs

From project brief to staffing plan

3x

Faster resource allocation decisions

The Challenge

Too many projects. No visibility over who's available or what they can do.

01

No single source of truth on capacity

Availability was tracked across disconnected spreadsheets, leaving delivery leads guessing at who had bandwidth. Overbooking was common and only discovered when a project was already at risk.

02

Skills not systematically captured

Staff capabilities lived in managers' heads. Matching the right person to a project relied on personal networks and memory, meaning the same senior staff were repeatedly tapped while others stayed underutilised.

03

Reactive, not planned

Resource decisions were made when a project was already starting — not weeks in advance. This made it impossible to pipeline work confidently or give staff meaningful notice of upcoming assignments.

04

No visibility into future pipeline demand

Business development and delivery operated in silos. Won work landed without any corresponding workforce plan, creating recurring crises around mobilisation and skills coverage.

The Solution

An AI resource engine built on the firm's own workforce data
Workforce profile ingestion
CVs, skills records, certifications, project history, and availability calendars indexed into a live AI knowledge base — updated automatically as projects close and staff profiles change.
Project-aware staffing recommendations
The AI reads each incoming project brief and generates ranked staffing options — pulling matched skills, experience, and availability windows without manual trawling.
Demand forecasting from pipeline
Integrates with the sales pipeline to project upcoming resourcing requirements weeks in advance — giving delivery leads time to plan, backfill, or develop capability proactively.
Approve and assign workflow
Resource managers shift from manual coordination to reviewing AI-generated plans — cutting scheduling time while maintaining final oversight and control.

Capabilities Delivered

Skills & availability matching engine
Pipeline demand forecasting
Automated staffing plan generation
Utilisation reporting dashboard
For a small HVAC contractor, staying current on compliance isn't optional  but for many, the burden of managing it can be enough to bring a business to its knees. What we're developing gives our members instant, reliable guidance that keeps them compliant and takes the guesswork out of an area that genuinely keeps people up at night. Because at the end of the day, this is about keeping people safe and giving contractors the tools to do that without it costing them their business.
Benjamin Hawkins
Chief Executive Officer

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