Case Study · Employment Services
Returning the week to the frontline.
How we're working with NJL — our foundation implementation partner — to put people before paperwork, lift outcomes, and prove impact to funders.
Client
NJL — national provider
Sector
Employment Services
Engagement
AI implementation (foundation engagement)
Status
In progress
01 · The challenge
Skilled people, spending the week on the wrong work.
Like many providers, NJL's consultants were spending too much of their week on administration and compliance instead of the job seekers they're there to help — while outcome targets, star ratings and the cost of getting it wrong kept rising. The question wasn't whether AI could help. It was how to adopt it without adding risk or losing the human relationship at the centre of the work.
02 · Our approach
A four-stage engagement, built around adoption.
01
Assess
Map the operating model, systems and compliance obligations.
02
Strategise
Prioritise the safest, highest-value opportunities.
03
Implement
Build into real workflows, with a human in the loop.
04
Embed
Instrument outcomes and support adoption so it lasts.
03 · The opportunities
Four ways we're putting people before paperwork.
Reclaim consultant capacity
Automate the repetitive case-note and reporting work that consumes frontline hours.
Personalise support at scale
Help consultants give every job seeker tailored, timely support — without more admin.
Make compliance defensible
Reduce risk with consistent, audit-ready records and a human in the loop.
Prove impact to funders
Instrument outcomes from day one so the value is measurable and reportable.
04 · Expected outcomes
What success looks like.
- Consultant time returned to frontline servicing
- More consistent, defensible compliance
- Better, more personalised support for job seekers
- Outcomes measurable and reportable to funders
This engagement is in progress. These are the intended outcomes — we'll publish verified results once they're measured and signed off. We don't claim numbers we haven't earned.