It's time. Let's get your team more efficient, productive, and skilled, with guardrails.

Most organisations have 80% of their workforce using AI for tasks that deliver no measurable business value. Neoma delivers ROI from the first cohort.

Run the ROI yourself →
Neoma [nee-OH-ma] — n. [Greek neos (new) + mene (moon)], New moon; symbolising renewal, transformation, and new beginnings.

Map the processes where AI will deliver the most ROI.

Manual reporting and data assembly

Every cycle, someone on your team is pulling numbers from systems that don't talk to each other, reformatting, checking, and rebuilding the same report from scratch. It's a process designed before AI existed and was likely never revisited, and it's one of the first places we look!

High-frequency, rules-based admin

Every team has a version of this: repetitive, high-volume work that requires judgment to set up, but not to run. Invoice matching, data reconciliation, approval routing, status updates. It's painstaking, error-prone, and you'll be so glad to hand it off. AI won't even break a sweat.

Data that never becomes insight

Your team sits on data that could be driving decisions. Instead, it sits in spreadsheets because pulling insight from it manually takes time. Let's face it, nobody does. AI handles the extraction and pattern recognition, so your team can focus on the thinking and creative work that actually needs them.

Strategic work that keeps getting pushed

Analysis, planning, competitive intelligence: the work that requires senior judgment keeps getting deprioritised because the team is stuck in production. When AI absorbs the assembly work, the strategic work starts actually getting done.

5→1

Days to close month-end. All with the same team, same systems, and no massive transformation project.

This is our flagship proof point from a recent engagement. Finance teams often see the fastest ROI because their processes are highly structured, but the same pattern repeats across operations, marketing, people functions, and more.

Hesitation driven by uncertainty.

The pilot graveyard

"We've tried this before. We got a strategy doc and nothing changed."

This is the most common thing we hear, and it's a fair read on how most AI programs are run. Neoma isn't just analysis. We move quickly from understanding to implementing, having your teams experiment and build automations that directly impact their productivity, and sharing those wins with their peers. We create a culture of continuous improvement.

The people problem

"My team will resist it. I don't have the bandwidth to manage a change program on top of everything else."

Resistance is almost never about the technology. Most times, it's people not knowing what AI means for their role, their workload, or their job security. We communicate objectives and inspire excitement from the beginning.

The ROI argument

"AI ROI is hard to prove. I need to see the numbers before I commit."

This is exactly why we built a measurable ROI calculator into our program from your first cohort. You walk away with tangible metrics, a documented business case, and proven use cases, before you consider scaling anything.

Governance is imperative.

Most AI implementations miss where things could go wrong.

Deploying AI throughout an organisation without governance is a commercial liability and an ethical oversight. Bias can be amplified, sensitive data could be fed into public tools, programs could sprawl without any real sense of impact or value. Teams using AI in ways that breach compliance requirements they weren't aware of.

Neoma builds governance in from day one as practical guardrails your team actually understands and uses. Every use case we develop is assessed for risk, compliance, and responsible deployment.

We work alongside Aubrey Blanche, one of Australia's leading voices on AI ethics and responsible technology deployment, to ensure our programs meet the highest standards possible.

Use case risk assessment built into every cohort, before deployment.
Practical data handling guardrails your team understands and follows.
Compliance-aware training for regulated industries including finance, aged care, and government.
Bias and equity review on AI-assisted workflows where decisions affect people.
Aubrey Blanche
Aubrey Blanche
AI Ethics Advisor, Neoma
Director, Ethical Advisory & Strategic Partnerships
LinkedIn →

Aubrey is an AI ethics expert and technology executive with 15 years scaling organisations including Atlassian and Culture Amp. She has been writing on AI and the workplace since 2017, with a focus on building both user knowledge and governance systems for safe, responsible AI deployment, especially in sensitive and high-risk contexts. She is currently a master's student in AI Ethics & Society through the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, researching the impact of AI on opportunities available to disabled knowledge workers.

A pilot that proves itself.

Focused pilot cohort (typically 20 participants) with measurable productivity gains documented from the outset.
2–3 documented AI use cases built around your team's actual workflows, ready to replicate across the function.
A clear internal business case for scaling AI adoption, with ROI already demonstrated and a methodology your SLT can get behind.
Practical governance guardrails for responsible, compliant AI usage, reviewed against your regulatory and compliance context.
A team that can run this independently. We build capability, not dependency.
A full debrief with your senior leadership on findings, use cases, and a prioritised roadmap for scaling AI across the organisation.

Run the ROI yourself.

Use the sliders below to model your own assumptions. These are conservative estimates based on our work with comparable teams.

13 people
540
$65 / hr
$40$120
3 hrs / week
1 hr10 hrs
4 days / month
010 days
$3K
Weekly productivity value recovered
from routine task automation
$446K
Annual ROI
productivity gains + reporting savings
2 months
Estimated payback period
based on typical Neoma program investment

I have had the privilege of partnering with Gemma Toogood over the past few years on the Microsoft Tech Talent Generator initiative. Her exceptional work in designing and delivering highly technical programs has enabled professionals from non-technical backgrounds to transition into tech careers. Her dedication will have a lasting impact on every learner who emerges from this program.

Narelle Stefanac
Global AI Skills Lead, Microsoft  |  AI, Azure & M365 Certified
Microsoft
Let's talk

An honest conversation.

We'll tell you whether there's a genuine fit, which processes in your team are most AI-ready, and what a realistic ROI case looks like.

Gemma Toogood
Gemma Toogood
Co-Founder, Neoma
LinkedIn →
Roisin O'Neill
Roisin O'Neill
Co-Founder, Neoma
LinkedIn →
Aubrey Blanche
Aubrey Blanche
AI Ethics Advisor
LinkedIn →