Grow

AI for Revenue & Growth

Turn commercial intelligence into action. Connect your data, sales processes and customer interactions to create more effective, scalable revenue operations.

Grow

AI for Revenue & Growth

Turn commercial intelligence into action. Connect your data, sales processes and customer interactions to create more effective, scalable revenue operations.

Grow

AI for Revenue & Growth

Turn commercial intelligence into action. Connect your data, sales processes and customer interactions to create more effective, scalable revenue operations.

Build a more intelligent revenue engine.

Growth becomes harder when commercial teams spend more time managing information than acting on it. Opportunities sit across disconnected systems, customer intelligence is fragmented, and valuable selling time disappears into research, administration and follow-up.

RGL8 Applied AI helps businesses redesign the processes behind revenue generation. We integrate AI into existing commercial systems to improve how opportunities are identified, qualified, progressed and retained.

Where we can create value

  • Sales intelligence: Enrich account information, research prospects and surface relevant buying signals.

  • Lead qualification: Organise incoming enquiries, assess fit and route opportunities to the right teams.

  • Sales execution: Assist with proposals, quotations, CRM updates, meeting preparation and follow-up.

  • Customer growth: Identify renewal opportunities, account risks and relevant cross-selling opportunities.

  • Revenue visibility: Connect pipeline, activity and customer data to support more informed commercial decisions.

The objective is not to automate relationships. It is to give commercial teams better information, faster execution and more time for the conversations that generate revenue.

Solutions are designed around your existing sales model, customer journey and technology environment, with human oversight wherever commercial judgement matters.

The Value

More selling capacity. Better commercial visibility. More consistent execution.

Potential outcomes include faster response times, reduced administrative effort, improved pipeline discipline and stronger customer retention. Impact is measured against agreed commercial indicators, not assumptions about AI-generated revenue.

What’s included
  • Commercial workflow and opportunity assessment

  • Prioritised AI use cases and implementation plan

  • Configured integrations, assistants or automated workflows

  • Reporting and performance measurement framework

How we work

A focused process

01

Diagnose

Examine the customer journey, revenue processes, systems and points of commercial friction.

01

Engineer

Design and validate targeted AI capabilities within the existing commercial environment.

01

Optimise

Deploy with appropriate controls, measure adoption and refine performance against agreed revenue indicators.

Selected work

More stories

A few engagements where the numbers moved. Same approach, different rooms.

Older woman with grey hair in a tan sweater taking notes in a notebook during a group discussion
Retail

Lindqvist Retail

A legacy retailer wanted AI everywhere

−83%

less time spent on markdown planning

Man in a grey blazer holding a tablet, walking past a green living wall in a modern office
Healthcare

Norrsken Health

Cutting triage admin in half by automating the parts clinicians never wanted to do anyway.

−50%

triage admin handled automatically

Selected work

More stories

A few engagements where the numbers moved. Same approach, different rooms.

Older woman with grey hair in a tan sweater taking notes in a notebook during a group discussion
Retail

Lindqvist Retail

A legacy retailer wanted AI everywhere

−83%

less time spent on markdown planning

Man in a grey blazer holding a tablet, walking past a green living wall in a modern office
Healthcare

Norrsken Health

Cutting triage admin in half by automating the parts clinicians never wanted to do anyway.

−50%

triage admin handled automatically

Selected work

More stories

A few engagements where the numbers moved. Same approach, different rooms.

Older woman with grey hair in a tan sweater taking notes in a notebook during a group discussion
Retail

Lindqvist Retail

A legacy retailer wanted AI everywhere

−83%

less time spent on markdown planning

Man in a grey blazer holding a tablet, walking past a green living wall in a modern office
Healthcare

Norrsken Health

Cutting triage admin in half by automating the parts clinicians never wanted to do anyway.

−50%

triage admin handled automatically

Teams we've worked with, in their own words

A look at what changed once we got to work: less busywork, faster decisions, and results that held up long after we left.

They cut through the hype and told us which AI projects were actually worth doing — and which to walk away from. Two are running in production now, and both have paid for themselves. I came in expecting a sales pitch and left with a shortlist I could defend to the board.

Person

Priya Nair, Head of Operations

Meridian Logistics

They stayed until our own people could run it without them.

Person

Daniel Osei, IT Director

Brightline Group

We'd stalled for a year. They had a working pilot in front of our team in six weeks.

Person

Tom Hjelm, COO

Northwind Retail

No buzzwords, no oversized deck. Just a clear read on where AI fit, where it didn't, and a plan we could act on the next morning.

Person

Mei Tanaka, Head of Strategy

Forma Studio

What I valued most was the honesty. They talked us out of two ideas we were attached to and pointed us at one we'd overlooked — which turned out to be the real win.

Person

Sara Lindqvist, VP Product

Cohort Health

They started with our actual workflows instead of a product pitch. By week three we could see exactly where the hours were going and which of them AI could give us back. Six months on, the line operators ask for the tools by name — that's how I know it stuck.

Person

Carlos Méndez, Operations Lead

Vela Manufacturing

They cut through the hype and told us which AI projects were actually worth doing — and which to walk away from. Two are running in production now, and both have paid for themselves. I came in expecting a sales pitch and left with a shortlist I could defend to the board.

Person

Priya Nair, Head of Operations

Meridian Logistics

We'd stalled for a year. They had a working pilot in front of our team in six weeks.

Person

Tom Hjelm, COO

Northwind Retail

What I valued most was the honesty. They talked us out of two ideas we were attached to and pointed us at one we'd overlooked — which turned out to be the real win.

Person

Sara Lindqvist, VP Product

Cohort Health

They stayed until our own people could run it without them.

Person

Daniel Osei, IT Director

Brightline Group

No buzzwords, no oversized deck. Just a clear read on where AI fit, where it didn't, and a plan we could act on the next morning.

Person

Mei Tanaka, Head of Strategy

Forma Studio

They started with our actual workflows instead of a product pitch. By week three we could see exactly where the hours were going and which of them AI could give us back. Six months on, the line operators ask for the tools by name — that's how I know it stuck.

Person

Carlos Méndez, Operations Lead

Vela Manufacturing

They cut through the hype and told us which AI projects were actually worth doing — and which to walk away from. Two are running in production now, and both have paid for themselves. I came in expecting a sales pitch and left with a shortlist I could defend to the board.

Person

Priya Nair, Head of Operations

Meridian Logistics

What I valued most was the honesty. They talked us out of two ideas we were attached to and pointed us at one we'd overlooked — which turned out to be the real win.

Person

Sara Lindqvist, VP Product

Cohort Health

No buzzwords, no oversized deck. Just a clear read on where AI fit, where it didn't, and a plan we could act on the next morning.

Person

Mei Tanaka, Head of Strategy

Forma Studio

We'd stalled for a year. They had a working pilot in front of our team in six weeks.

Person

Tom Hjelm, COO

Northwind Retail

They stayed until our own people could run it without them.

Person

Daniel Osei, IT Director

Brightline Group

They started with our actual workflows instead of a product pitch. By week three we could see exactly where the hours were going and which of them AI could give us back. Six months on, the line operators ask for the tools by name — that's how I know it stuck.

Person

Carlos Méndez, Operations Lead

Vela Manufacturing

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Leave us a message

Let’s talk

Start with a conversation, no commitment

Leave us a message

Let’s talk

Start with a conversation, no commitment

Leave us a message

Intelligence, engineered for measurable business value.

Get occasional notes on AI that works.

© 2026 RGL8 Pty Ltd

Intelligence, engineered for measurable business value.

Get occasional notes on AI that works.

© 2026 RGL8 Pty Ltd

Intelligence, engineered for measurable business value.

Get occasional notes on AI that works.

© 2026 RGL8 Pty Ltd