AI THAT CHANGES HOW WORK GETS DONE. NOT JUST WHO DOES IT.


Most organisations are not benefiting from AI because they are not set up to leverage it to their advantage, rather than because they don’t understand the technology.

Radically helps organisations turn AI from pilots into a real, scaled advantage. We work with your leaders to set up governance that moves AI adoption forward while ensuring safety and ROI, build teams that are a blend of Humans & Agents, reset ways of working for AI-enabled teams, and support leadership transition, so the benefits actually stick.

AI ADOPTION CHALLENGE

95% of GenAI pilots show no real financial impact because the organisational design didn’t change.

Here’s what happens: A team runs a pilot. The task itself gets done fast. But then it waits: for a decision, a handover, or for the next team to pick it up. The time saved doesn’t help anyone because the roles and decision rights remain the same. And the outcome waits between the teams.

Most organisations stop there. They get agents running a part of the process, then can’t go further. Going further means changing how the team itself works with teams and decision makers around them – and this is not a technology challenge, but a leadership challenge.

The real bottleneck is your organisational ability to align end to end, make quick decisions, and set up governance that helps rather than slows things down.

Get that right, and you’re not just faster, you’re a different organisation.

WHY RADICALLY?

We start with the organisation, not the tool. That’s the difference.

Any organisation can help you build an AI pilot. But few can tell you what scaling challenges you have: are they technological, structural, cultural or leadership? We focus on bridging the gap between organisational design, Agentic AI and AI Governance that enables it.

We work across three layers, as one system:

  • Strategy – where AI actually creates value and what is our ambition
  • Operating model – how the value flows, how our human and agent teams are going to look, how the roles and decision rights need to shift.
  • Delivery – the delivery frameworks and tooling that make it work reliable

Not all of those layers can be changed at once, but all pilots and investments should keep all layers in mind to build a foundation for organisational shift over time.

Most leaders don’t yet understand what needs to change and how to navigate organisational AI maturity.

Read our AI Maturity Guide and find out where you actually sit, and what’s stopping you from moving further.

RADICALLY AI SERVICES

The most common mistake is treating AI as a tooling decision, rather than an operating model decision.

When you bring AI into the business, it changes who makes decisions, who’s responsible for what, and how work gets passed between teams. If you skip that thinking, you end up with small tasks done faster, but with no real gains.

We help executive teams redesign the operating model properly. That covers:

  • Structure and roles: how jobs change when agents take the process, and people hold the judgement.
  • Governance and guardrails: who sets risk appetite, who signs off, and who checks it’s working.
  • Decision rights: what agents can decide alone, what stays with people, and how that shifts over time.
  • Capability and culture: the leadership behaviours people need to trust and improve on agentic work, instead of quietly working around it.

You’ll end up with a clear, practical picture of how your organisation actually works once AI is part of it.

Strategy shows you where AI should focus. Operating model shapes how your organisation actually works around it, the structure, the roles, the decisions. Delivery is where that plan comes to life.

We help delivery teams build agentic workflows that hold up in production.

Depending on where your teams are today, this can look like:

  • Simple agents that take on one task end to end, like audits or IT tickets, removing bottlenecks without needing a full team redesign.
  • Agentic workflows that chain agents across a process, so teams supervise instead of doing every step, and get freed up for harder work.
  • Human-and-agent teams, where the team itself is rebuilt around shared agents, and the way people interact and get feedback changes to match.
  • AI-enabled delivery model: a shift to a speed-oriented delivery model, set up for agentic workflows that remove bottlenecks and hand-offs one by one,

We work alongside your teams so the skills to run and improve these workflows stay with you as your organisation matures.

Many organisations have invested in AI tools, licences and pilots but are struggling to show where the value has landed.

The answer is rarely another tool or a training programme on its own. The barriers often sit across governance, leadership, capability, culture, technology and the way work is organised.

Our AI Value & Outcomes Review gives CFOs, CTOs and executive teams an independent view of why AI investment is not translating into measurable outcomes and what needs to change.

We typically meet with 10–16 leaders and people involved in the work and review:

  • Investment and outcomes: what has been funded, what value was expected and what has actually been achieved.
  • Governance and ownership: how AI opportunities are prioritised, funded, measured and governed.
  • Technology and delivery: whether the tools, platforms and initiatives are suited to the problems they are intended to solve.
  • Capability and adoption: whether people have the skills, confidence and support required to use AI effectively.
  • Operating model and culture: where roles, decision rights, leadership behaviours and existing ways of working are limiting value.
  • Value measurement: whether the organisation can see where AI is improving productivity, quality, speed or customer outcomes.

You’ll receive a clear assessment of what is working, where value is being lost and a practical set of recommendations for improving returns from your AI investment.

Most AI training teaches people how to use a tool. That’s not the gap we close.

The real gap is judgement: knowing where AI can be trusted, what changes about how a team works once agents are doing real tasks inside it, and how to lead people through that without losing what makes teams work well together.

Our Leading AI-Powered Organisations course is built for that gap. It’s hands-on, grounded in real examples, and leaves leaders with a clear view of the decisions and changes ahead, not just a stack of slides.

For teams doing the day-to-day work, we run AI for Individuals and Teams. This course focuses on building the habits, prompting skills and shared ways of working that turn everyday AI use into a real lift in output, not just a faster way to do the same thing.

BOOK AI FOR LEADERS
BOOK AI FOR TEAMS

WHERE TO START

NOT SURE WHICH SERVICE FITS?
THE CONVERSATION WILL TELL US.

We listen first, understand your priorities, then adjust our model to fit.



What it’s like working with Radically

Real operating model feedback, delivering measurable value inside
Australasia’s most complex organisations.

Let’s Chat

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What People Say About Us

“The reason we chose Radically was their willingness to adapt to a set of circumstances. There wasn’t a prescribed formula that was rigidly followed”.

James Magill

Executive General Manager, Origin Energy

“The transformation that we’ve gone through has really put us on a different path where we’re very buoyant around our growth potential. ”

Jason Chan

Managing Director - Bankwest

“They bring good capability to the table, good thought leaders, people who genuinely make a difference and add value and people who aren't afraid to roll up their sleeves when things get challenging. ”

Paul Bacon

Head of Telecommunications - Mercury