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 project managers, 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 lived in disconnected spreadsheets, so delivery leads were guessing at who had bandwidth. Overbooking was common and usually surfaced only once a project was already at risk.

02

Skills never captured systematically

Staff capabilities sat in managers' heads, so matching the right person to a project ran on memory and personal networks. The same senior people were tapped again and again while others stayed underused.

03

Reactive, not planned

Resourcing decisions happened as a project was starting, not weeks ahead. That made it impossible to pipeline work with confidence or give staff real notice of what was coming.

04

No view of future demand

Business development and delivery ran in silos, so won work arrived with no workforce plan behind it. The result was a recurring scramble around mobilisation and skills coverage.

The Solution

An AI resource engine built on the firm's own workforce data, connected directly to their ERP, Pronto.
Build the capacity profile
Staff roles, department allocations, leave, and working hours ingested into a live AI knowledge base, with multiskilled people counted across every department they cover, to generate available capacity by department.
Build the demand profile
Every project read in by its department-wise hours and converted through a set of rules into the number of people required and their weekly hour allocation, building a clear demand profile across the business.
Match and flag the gaps
Demand and capacity matched department by department to surface where you are over or under resourced, with alerts raised the moment a gap appears.
Model the fixes
Multiple what-if scenarios built side by side, so you can test fixes like adding people, moving projects, or running a night shift before committing to one.

Capabilities Delivered

ERP integration with Pronto
Rule-based demand generation
Scenario management
Advanced visibility with AI drilldowns
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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