AI Advisory • Operations • Growth

AI advisory for scalable business growth

We are part of enablesGROUP: 10 years of technology, outsourcing and now, AI implementations. We partner with corporates, PE-backed portfolio companies, and growth-stage businesses to turn AI ambition into measurable outcomes.

25+

Years Industry and Consulting Experience

6

Industry Verticals

Tier 1

Consulting & CXO Background

Three ways we deliver value

From identifying viable AI use cases through to scaling operations and stepping into interim leadership roles.

01

AI Use Cases to Deployment

We design and deliver customised AI solutions — from use-case identification and prioritisation through to POC, pilot, and full-scale deployment — ensuring sustained, measurable benefits.

02

Operational Scale & Growth

Leverage our deep experience with growth/scaling corporates, startups and PE portfolio companies to scale core operations rapidly — introducing the right partners, platforms, and processes for cost efficient growth.

03

Interim Management

We step into CEO, COO, CIO, AI-Leader and transformation-lead roles with clear objectives — bringing strategic clarity, operational rigour, and a track record of delivering results under pressure.

A proven approach to AI implementation

Most AI initiatives fail not because the technology doesn't work — but because the organisation isn't ready for it. Tool rollouts without integrated change management stall at early adopters. Pilots without governance never reach production. Innovation theatre without measurable ROI loses executive sponsorship.

Our methodology addresses all three. It integrates change management and technical delivery from day one, anchors every phase to measurable business outcomes, and builds lasting organisational capability — not tool dependency. The approach is platform-agnostic and LLM-independent, designed to work with whichever foundation model and infrastructure stack best fits your environment.

Six core principles underpin everything we do:

(1) Think End-to-End

Don't automate one step — redesign the whole workflow.

(2) You = Architect, AI = Builder

Humans set direction. AI does the heavy lifting.

(3) Prompts Are Reusable IP

One prompt framed by skills used 50 times saves 50x the original investment.

(4) Value of the Freed Time

If you can't say what people do with saved time, don't build.

(5) Goal → Context → Rubric → AI

Define what good looks like before asking AI to produce it.

(6) ADKAR for Every Rollout

Awareness, Desire, Knowledge, Ability, Reinforcement — every time.

1

Discover

Weeks 1–4

Assess readiness, define vision, secure executive sponsorship, identify champions

2

Foundation

Weeks 5–10

Build infrastructure, train core team, design domain skills, seed prompt library

3

Pilot

Weeks 11–16

Run with champions across 3–4 departments, measure, iterate fast

4

Scale

Weeks 17–26

Department by department rollout, embed new ways of working organisation-wide

5

Optimise

Ongoing

Continuous improvement, maturity growth, automation pipeline, quarterly CoE reviews

1

Discover & Strategise

Weeks 1–4
Change Management
  • Stakeholder interviews & readiness assessment
  • Executive sponsorship secured at CEO level
  • ADKAR baseline: Awareness & Desire campaign
  • Identify 10–15 champions across departments
  • Communicate the "why" — Person + AI vision
Technical Delivery
  • Current-state IT architecture review
  • Select AI platform (cloud provider & LLM)
  • Security & compliance requirements mapping
  • Data landscape audit — what can AI access?
  • SSO/identity integration design
Deliverables: AI Strategy Document • Champion Network • Platform Decision • Security Architecture
2

Foundation & Infrastructure

Weeks 5–10
Change Management
  • Champion training — intensive AI skills program
  • Build first 5 domain skills (role-specific prompts)
  • Create prompt library — reusable organisational IP
  • Design 30-Day Growing Journey for new users
  • Draft AI governance policy & liability framework
Technical Delivery
  • Deploy AI platform (API keys, endpoints, SSO live)
  • Build data connections to enterprise systems
  • Configure workspaces with file access
  • Set up developer environments
  • Implement quality-gate framework
Deliverables: Platform Live • Skills Layer v1.0 • Champion Training • Governance Policy Draft • Prompt Library Seeded
3

Pilot & Prove

Weeks 11–16
Change Management
  • Champions run 30-Day Journeys with pilot teams
  • Weekly win stories shared across the organisation
  • Resistance signals tracked — ADKAR diagnosis applied
  • Peer learning circles established
  • First automation wins celebrated and documented
Technical Delivery
  • Pilot with 50–100 users across 3–4 departments
  • Measure: sessions, tasks completed, time saved
  • Iterate skills based on real usage patterns
  • Stress-test data integrations under real load
  • Incident triage protocol tested and documented
Deliverables: Pilot Results Report • 10 Domain Skills Live • First Automation SOPs • Incident Protocol • Board Update
4–5

Scale, Embed & Optimise

Week 17 onwards
Change Management
  • Department-by-department ADKAR wave rollout
  • Each department gets a champion + custom skills
  • Manager training for AI-enabled teams
  • Prompt library goes organisation-wide
  • Recognition programme & monthly adoption dashboards
Technical Delivery
  • Scale from 100 to full organisation deployment
  • Enterprise SSO/SCIM provisioning live
  • Automation pipeline: identify → build → deploy → monitor
  • Skills governance register operational
  • Quarterly CoE review cycle begins
Deliverables: Full Org Deployment • 20+ Domain Skills • Governance Register • Adoption Dashboard • Quarterly Board Reporting

Platform-agnostic AI architecture stack

Six independent layers — select the best option at each tier for your environment. No LLM or vendor lock-in.

Layer 1
User Interface

Chat interfaces, desktop agents, CLI tools, custom apps, Teams/Slack bots — however people interact with AI.

Layer 2
Orchestration & Skills

Routing, quality gates, domain skills. Agent SDKs, MCP servers, LangChain, Semantic Kernel, or custom orchestration.

Layer 3
LLM / Foundation Model

The intelligence engine. Select by task: high-capability models for complex reasoning, efficient models for high-volume work.

Layer 4
AI Platform / Gateway

Model hosting, routing, and cost control. AWS Bedrock, Azure AI Foundry, Google Vertex AI, or direct API.

Layer 5
Data & Integration

Enterprise data, APIs, and connectors. MCP protocol, REST/GraphQL, data lakes, warehouses — where your business data lives.

Layer 6
Security & Governance

SSO/SAML, RBAC, audit logging, DLP policies, AI liability frameworks, and quality-gate enforcement.

Built-in maturity model and measurable outcomes

We don't just deploy AI — we build a system that detects where every user is and adapts accordingly, with clear KPIs at every phase.

1
Seedling

First interaction. Uncertain, permission-seeking. Get a win in under 2 minutes.

2
Growing

Provides context, asks follow-ups, starting to iterate on outputs.

3
Flourishing

Confident requests, uses domain terms, reviews output critically.

4
Thriving

Builds workflows, asks about automation, challenges AI output.

5
Master

Architects systems, teaches others, creates reusable prompts.

Executive Sponsor

Sets vision, funds programme, removes blockers, reports to board

AI Programme Lead

Day-to-day delivery — timeline, budget, vendors, risk register

Change Lead

ADKAR planning, champion network, adoption metrics, comms

Technical Lead / CTO

Architecture, platform, security, data integrations, incident response

AI Skills Architect

Skills layer design, quality gates, prompt engineering, integrations

Champions (per dept)

Frontline adoption — run 30-Day Journeys, collect feedback, share wins

90%+
Active users

Percentage of licensed users actively using AI at maturity

5+ hrs
Time saved per week

Per person, named and tracked — not estimated

50+
Automations deployed

Each with documented ROI and named time savings

10,000+
Hours automated per year

Compounding as the automation pipeline scales

60%+
Flourishing or above

Self-sufficient AI users across the organisation

200+
Prompt library entries

Shared, rated, and reused — compounding returns

Industry expertise that runs deep

As AI becomes increasingly verticalised, so are we — deploying nuanced, industry-specific solutions with subject-matter experts across each domain.

Traditional Industries

Retail, Beverages and Grocery
Telecom and Media
Property & Infrastructure
Digital Infrastructure
Field Force
Technology & Software

Emerging Industries

Renewable Energy
Blue Economy
BlueTech

AI powering operational excellence

Deep experience with growing corporates, startups and PE portfolio companies mandated for growth, scale, and expansion.

Our speciality is scaling core operations rapidly — following frontline growth in sales and customers, introducing the right third-party partners, and implementing the digital, data, and AI toolsets to build a sustainable operation for continued growth.

We have direct experience scaling the national broadband network (nbn), Foxtel Group, Telstra, Harris Farm Markets, and other corporates, as well as mid-sized tower companies, digital infrastructure firms, and technology platforms.

Operational Domains

Core operations, design–construct–handover, logistics, field force, facilities management, shared services, technology, and sustainability.

Industry Verticals

Telecoms, utilities, media, technology platforms, and emerging industries — each with highly nuanced, verticalised AI solutions.

Corporates & PortCos

From ASX-listed corporates to PE-backed portfolio companies and VC-backed growth-stage firms with aggressive scale mandates.

Stepping in with purpose

We take on CEO, CIO, COO, AI-Leader and transformation-lead roles with clear objectives and measurable outcomes.

Our team has undertaken numerous interim management roles, bringing strategic clarity and operational rigour to complex situations — from large-scale insourcing transformations to revenue-model pivots and margin turnarounds.

We are proud of our collaborative approach and the outcomes we have achieved. Our client references speak to the value we deliver.

Trusted by

nbn — Executive General Manager

Led field strategy and implementation in a large, complex transformation to insource field despatch and operations from five outsourced partners into a new centralised workforce operations centre.

OMERS — Interim CEO

Balanced revenue growth and operational scale with shorter-term cashflow improvement, rebalanced capital investment into R&D, and transitioned to greater recurring revenue sources.

IFM Investors — Transformation Lead

Led a JV between the IFM PortCo and a global technology partner to digitise operations, pitch and win new business, and turnaround margin decline.

Ready to accelerate your AI journey?

Let's discuss how we can help you identify the right use cases, scale your operations, or step into interim leadership.

Start a Conversation →