Delivered multiple Agents across banking, retail, regulated manufacturing and shared
services. Every figure is measured against a baseline taken before the agent went live.
Average return across projects: 250%.
Financial services
A bank funding business loans in 25 days, against fintechs doing it in two
Around five hours of manual work per application, 25 analysts buried in backlog, and no way to grow the book at scale. An agent now extracts what it needs from the submitted documents and runs the operational process end to end.
2 daysTime to fund, down from 25
100k+Applications processed by the agent
<5 minApplication decision time
300%+Project return
170 minManual work removed per application
Retail & consumer goods
80+ commercial managers, losing every Monday to the data team queue
Three to five hours each, every week, extracting data and building analysis for senior managers. Two agents went live: a personalised performance briefing, and a commercial analyst available on demand. They weren't hired to search. They were hired to decide.
240+Hours of capacity recovered weekly
A$1.4MAnnual net profit · 367% return
3×Faster commercial decision making
0%Agent hallucination in 12+ months
+20%Voice of Team metrics
Regulated manufacturing
Compliance running four weeks behind every product launch
Manual specification reviews across hundreds of SKUs — slow, inconsistent and reactive, on a process where one missed allergen declaration carries recall-scale cost. An agent now checks specs, product information files, regulations and labels in seconds, under human sign-off.
A$1.75MAnnual net profit · 455% return
100%Regulatory compliance rate post-deployment
0Incidents in 14 months
4 weeksSaved in the product development cycle
98%Adoption
Financial services
Income verification capped at 2.4 applications a day
A manual validation step inside the standard customer process, with an eleven-day average wait. An agent reads payslips and rental documentation, produces verified values and raises review flags for the operators who need to see them.
30k+Payslips processed monthly
<10 secFor 90% of verifications
250%+Project return
90%Of verification automated
Enterprise operations
500+ people queuing behind one small data team
Procurement, category management, sales and revenue growth all waiting — more than a week for a standard profitability analysis, so teams often ran it themselves instead of doing their own job. The agent handles what a governed system can answer correctly every time and reroutes anything needing judgement.
90%Of data requests now self-served
A$1.4MAnnual net profit · 372% return
95%Adoption
1 weekCut from decision timelines
Shared services
A 30-person support team losing senior people to the volume
Hundreds of requests a day from staff, providers, contractors and suppliers. Average response 2.5 days, answer quality depending entirely on who picked it up. Senior operators retired or asked to move teams, taking knowledge with them.
60%Of requests fully handled by the agent
A$860kAnnual net profit · 225% return
+42%Voice of Team metrics
24/7Availability — no more SLA breaches
Regulated — policy
A 14-person policy team buried in a shared inbox
Hundreds of complex questions, response times stretching to days, different answers from different people and no audit trail. A policy agent now drafts the answer in seconds, in short and long form, and updates against legal requirements daily. The team checks and approves.
<1 hrResponse time, from 2.3 days
100%Response consistency
A$594kAnnual net profit · 155% return
43%Team productivity increase
Manufacturing & FMCG
One in five product launches held up by artwork rework
Ten in-house designers plus a multi-million-dollar retainer, and more than 20% of projects still needing three or more artwork versions — delaying launches and adding rework the contract never covered. An agent compares specification against artwork and returns every correction at once.
100%Products launched on time
A$436kAnnual net profit · 114% return
2 weeksCut from time to market
92%Adoption
Different sectors. Different functions. The same underlying problem.
Banking, retail, regulated manufacturing, shared services. Lending, commercial,
compliance, policy, design, data. These teams sit in different industries, answer to
different executives and are measured on entirely different things.
The diagnosis was the same every time: expensive, skilled people spending
most of the week on high-volume work that never required their judgement.
Sector, scale and process are described accurately,
and every metric is drawn from the measured post-deployment result rather than a
projection.
“I went from one to two weeks of work to a few hours.”
Buyer, international retailer — on a single analysis, three weeks after
go-live. She does not work in AI and never learned a new system.
“Next level game changer for us. We are very excited by what this means for us
moving forward.”
Senior executive, international business — on what the deployment opened up
next, rather than what it fixed.
Bring the workflow that's costing you most
Thirty minutes. It is the opening exercise from our Value Creation Sprint, scoped to one
workflow you choose. You leave knowing what the first agent would be and roughly what it is
worth — whether or not we end up working together.
