Our strength isn't just innovation. It's the operational experience we pair it with.
We cut through the hype, turn insight straight into execution, and deliver growth you can actually measure: quickly, and with certainty.

Professional Member of the Global AI Certification Council (GAICC)

The commercial engine of your business, how you attract, convert, and retain customers, is where most revenue is captured or quietly lost. It shows up as a lead that sat too long, a quote nobody chased, a good customer who stopped hearing from you.
We build the capability that closes those gaps at every stage, from first enquiry to long-term relationship, so the revenue you've already earned stops leaking, and growth doesn't require a bigger team to deliver it.
A business running on manual processes, disconnected systems, and informal workflows has a ceiling. It shows up as a decision nobody can trace back to why it was made, an answer that lives in three different systems and matches in none of them, a director who can't say with confidence the business is covered.
We build the capability that removes it: streamlining how work gets done, how information flows, and how the business stays compliant and accountable at every level, so nothing depends on someone remembering where the evidence is.
Reputation is a commercial asset, and a vulnerability. It shows up as a review left unanswered for a week, a brand voice that sounds like three different businesses depending on the channel, a complaint that quietly festers instead of getting resolved, a booking that gets confirmed but never followed up on.
How customers experience you, and what they say publicly, shapes every relationship and every dollar of revenue that follows. We build the capability that protects that asset, and actively grows it.
We don't start building until we know exactly what we're building, and why.
Most businesses can describe what's going wrong. Far fewer can trace it back to why, through the systems, decisions, and handoffs that actually caused it. Committing to fix a problem nobody's properly diagnosed is where most engagements go wrong before they start.
We begin with the Solus Requirements Assessment: a structured diagnostic that maps how your business actually operates, identifies exactly where the real commercial lift sits, and surfaces the constraints that would otherwise derail delivery.
A diagnosis is only useful if it turns into a plan someone can actually commit to. Most strategy documents don't: they sit in a drawer, or promise an outcome without ever pinning down the order, the cost, or what success looks like along the way. Committing to a build on that basis is a guess dressed up as a decision.
The assessment becomes the Solus Blueprint: a phased, costed roadmap that specifies exactly what gets built, in what order, and what success looks like at every stage, so you know what you're committing to before a single build begins.
Most businesses can point to what a system does. Few can say who decided it should work that way, or produce the record if a regulator, insurer, or board member ever asks.
That gap is invisible until the moment it isn't.We build the specified systems and automations, scoped against the Blueprint and governed by the ISO/IEC 42001 framework from day one, so the record of what was built, why, and how it's managed is traceable, not reconstructed under pressure later.
A capability that works on launch day doesn't stay that way by accident. Left unwatched, it drifts quietly from what it was built to do, and nobody notices until the gap shows up in the numbers.
Most engagements treat go-live as the finish line, right where the real risk actually starts.We deploy in phases, test against real business conditions, and monitor what happens once it's live, staying accountable to the outcomes we set out, not just the outputs we delivered.
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Financial services, including a major Australian bank and a large insurer.
Compliance posture was scattered across registers, spreadsheets, and periodic audit reports, with no single view of what was under control, at risk, or overdue. Every business unit tracked its own controls in its own format, and ahead of every audit or board meeting, someone had to manually collate a current position from scratch. Leadership didn't just find out where they stood when an audit forced the answer, the answer itself depended on who compiled it and how recently.
Financial services, including a major Australian bank and a large insurer.
Compliance posture was scattered across registers, spreadsheets, and periodic audit reports, with no single view of what was under control, at risk, or overdue. Every business unit tracked its own controls in its own format, and ahead of every audit or board meeting, someone had to manually collate a current position from scratch. Leadership didn't just find out where they stood when an audit forced the answer, the answer itself depended on who compiled it and how recently.
A live compliance dashboard pulling every control's status, gaps, and remediation actions into one current view, drawing directly from the systems already in use. Every control was normalised into one consistent taxonomy, so “at risk” meant the same thing across financial crime, operational risk, and information security. It replaced a periodic, manually compiled report with something leadership could check at any time, and became the artefact actually used in board meetings.
Compliance visibility that no longer depended on the audit cycle. When a regulator or internal audit asked a question, the answer was already on the dashboard rather than reconstructed under pressure. Because every business unit's position was expressed in the same terms, leadership could genuinely compare exposure across the organisation, working from one version of the truth instead of several conflicting ones.
Compliance visibility that no longer depended on the audit cycle. When a regulator or internal audit asked a question, the answer was already on the dashboard rather than reconstructed under pressure. Because every business unit's position was expressed in the same terms, leadership could genuinely compare exposure across the organisation, working from one version of the truth instead of several conflicting ones.
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Automotive: a multi-team vehicle programme.
Release decisions depended on knowing exactly what was broken and how severe it was, but that information was spread across multiple tools and teams, each tracking defects in its own system. Answering "are we ready to ship?" meant chasing team leads down in the days before a release, reconciling severity ratings that didn't always mean the same thing from one team to the next.
Automotive: a multi-team vehicle programme.
Release decisions depended on knowing exactly what was broken and how severe it was, but that information was spread across multiple tools and teams, each tracking defects in its own system. Answering "are we ready to ship?" meant chasing team leads down in the days before a release, reconciling severity ratings that didn't always mean the same thing from one team to the next. A report already stale by the time it reached the room meant release calls sometimes ran on information that had already moved, a guess dressed up as a decision.
A live dashboard tracking every open defect by severity, status, area, and trend, pulling directly from each team's existing tracking tool rather than double-entering data. Because it showed trend over time, not just a snapshot, leadership could see whether the overall defect position was improving or worsening heading into a release date. It became the single view the whole programme used to decide whether to release.
Go/no-go decisions ran directly off the live dashboard, on data current at the exact moment someone needed to act on it. Engineering leads spent less time producing status updates and more time closing the defects those updates described. Because trend was visible, leadership could see a release heading for trouble days in advance, rather than discovering it live in the meeting.
The moment more than one team tracks its own version of "how are we doing," whoever acts on that information ends up deciding on data that's already gone stale. Whether it's defect severity on a vehicle programme or AI tool sign-off across a club's departments, the discipline doesn't change: centralise the data and you centralise the decision itself, the same principle behind Solus Command's Governance Register, one current record, one named owner.
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Media and publishing: a newspaper section within a larger group.
On paper it was one section. In practice it was six or seven operations pretending to be one: images in one system, news copy in another, sponsor materials over email, advertising with a different team on a different schedule, production planning on its own spreadsheets, financial reporting reconciled separately after the fact.
Media and publishing: a newspaper section within a larger group.
On paper it was one section. In practice it was six or seven operations pretending to be one: images in one system, news copy in another, sponsor materials over email, advertising with a different team on a different schedule, production planning on its own spreadsheets, financial reporting reconciled separately after the fact. Nobody designed it this way; it accumulated dozens of reasonable workarounds that never talked to each other.
One central, publisher-facing system that every function fed into and drew from: images, editorial, sponsors, advertising, production schedules, financial reporting, all visible from one place instead of scattered across six. Editorial could see what advertising had committed to; production could see what finance was reconciling against. For the first time, the section had a single version of the truth instead of six competing ones.
There's no number to put on what that was worth; the figures don't survive twenty years later, and this isn't the place to invent them. What can be said plainly: the operation ran more smoothly, with far less time lost reconciling versions of the truth that should never have diverged, and it became the standard approach used across the rest of the group.
The only way through was mapping where information lived and agreeing which version was authoritative. AI hasn't removed that groundwork, it's raised the cost of skipping it. Zalando's engineering team has since described hitting the same wall at far larger scale, fixing it the same way: govern the source of truth first, then layer AI on top. That's the discipline behind Solus Command's Governance Register: dedicated function workspaces reporting up to the one picture this newsroom only got by hand.
Propel Growth is a boutique AI implementation and governance practice, not a platform, not a tool, and not a generic agency. We deliver tangible results by bringing technical mastery, strategic thinking, and creative design to every engagement, building holistic solutions rather than isolated fixes. We innovate with AI to give people their time back for the work that actually grows the business, surface the inefficiencies it can't see from the inside, and personalise at scale.
The result is connected capability that solves real problems, lifts productivity, and fuels growth. That's what authentic collaboration looks like.
The Solus Requirements Assessment is how we get there: a structured diagnostic built on ISO/IEC 42001, the international standard for AI management systems.
Solus RA maps exactly where a business is leaking value or exposed to risk before a single system gets built.
That is the foundation everything we develop and deliver is built on, not generic and reconstructed under pressure later.

Professional Member of the Global AI Certification Council (GAICC)

Judgment only compounds as an advantage once it's captured with its reasoning attached, which is exactly the gap that catches growing businesses at audit, insurer review, or board level.

97% of consumers read reviews before choosing a business. Only 5% of businesses ever reply. The sale is decided before the phone rings, by whether anyone was home.

An Arup finance employee was suspicious of the email, so he asked for a video call. Every face on it was a deepfake. Fifteen transfers and $25 million later, the lesson is about process, not technology.

We build capability inside businesses and organisations, not by bolting technology onto existing processes, but by first understanding how the business actually operates and where the real commercial opportunity sits. We diagnose, we build, and we stay accountable to the outcomes we defined at the outset. The result is a business that runs more efficiently, grows more consistently, and has the operational capability to sustain that growth over time.
We work with Australian businesses and member-based organisations where leadership is commercially serious about growth: operators who treat innovation as strategy, not reaction. Our clients aren't technology buyers; they're business operators who want measurable outcomes. If you're looking for a software vendor or a generic tool, we're not the right fit. If you want a capability partner who understands your business first and builds around it, we are.
Every engagement starts with a conversation. We spend time with you to understand the scope of what you are looking to achieve: the scale, the complexity, and the urgency. From that conversation, we determine the right path forward: either a direct proposal for contained scopes, or a Solus Requirements Assessment for more significant engagements. Nothing is assumed and nothing is generic.
The Solus RA is Propel Growth's structured diagnostic process: an investigation into how your business operates across its functions, workflows, systems, and people. We map where information moves, where it gets stuck, and where value is being lost.Every finding is classified against Context, Risk, Treatment, Control, Evidence, aligned to ISO/IEC 42001. Your Blueprint arrives with the risk classification and evidence trail already built in.The output is the Solus Blueprint: a phased roadmap for what gets built, in what order, and what it costs. The Solus RA runs under a signed engagement agreement before any build work begins.
Every engagement is different because every business is different. The Solus RA and Blueprint phase typically takes two to four weeks depending on the size and complexity of the organisation. From there, the build is phased: short-term wins are delivered first, with deeper integrations following in priority order as defined in the Blueprint. You see results before the full engagement is complete.
The cost of an engagement varies depending on the scope, complexity, and phases of capability being built. We start every significant engagement with the Solus Requirements Assessment, which produces a Solus Blueprint with clear deliverables, timelines, and costs tied to each phase. That document gives you complete visibility before you commit to the full build. The best starting point is a conversation. We will tell you quickly whether there is a fit and what the investment is likely to look like.
Less than you might think. What matters most is that the leadership team is aligned on the intent to change how the business operates, and that the right people are available to participate in the diagnostic process. On the technical side, we will identify what systems, platforms, and data sources are relevant as part of the Solus RA, that's one of the things the assessment is designed to surface.
AI is the delivery mechanism, not the headline. We lead with business expertise: understanding how your organisation operates, where the friction is, and what outcomes matter. AI is how we build the capability to deliver those outcomes at a speed and scale that was not previously possible. We never implement technology for its own sake, and we never recommend a solution before we understand the problem. We defiine AI as Accountable Integration.
We treat client data with the same rigour we bring to everything else. Every engagement operates under a signed client agreement that includes explicit provisions around data handling, confidentiality, and the appropriate use of AI-generated outputs. Our diagnostic and implementation processes are governed by the ISO/IEC 42001 AI Management System framework, an internationally recognised standard for responsible and transparent AI governance. Human oversight is built into every stage of what we build, and we never deploy a capability without the client's full understanding of how it operates and what it does with their data.
Yes, and we'd rather show you than tell you. Our case studies set out real problems, what we built to solve them, and the results that followed, without inflating what a piece of work actually achieved. If a claim on this site can't be backed by something we can show or explain plainly, we don't make it.
A consultant will tell you what to do and leave. A vendor will sell you a tool and move on. An agency will produce deliverables to a brief. Propel does none of those things. We diagnose, we build, and we stay accountable to the outcomes we defined at the outset. The commercial lens we bring, built from years of working directly with business owners across industries, means we understand what a business needs to grow before we touch a single piece of technology. That combination of business expertise and implementation capability is not something a generic tool or a traditional advisory firm can replicate.