AI Strategy: From Frameworks to Working Plans

Many organisations have been through AI strategy workshops. They have frameworks, principles and roadmaps. What most of them do not yet have is working AI in production.

The gap between strategy and implementation is where most AI initiatives stall. Evocate helps organisations close that gap, developing AI strategies that are grounded in the organisation's actual systems, data, processes and risk appetite, and connecting those strategies directly to practical implementation.

AI Strategy & Roadmap Consulting Australia

AI opportunity assessment

Understanding the Actual Opportunity

AI strategy needs to start with an honest assessment of where AI can create meaningful value in your specific organisation, not a generic list of AI use cases. We help organisations identify the processes, decisions, information flows and operational bottlenecks where AI can make a measurable difference. This involves mapping existing systems, understanding data availability and quality, identifying where automation or augmentation will have the highest return, and being honest about where AI is not the right solution.
Infrastructure readiness assessment

Infrastructure and Platform Readiness

A strategy that ignores your infrastructure reality is a document, not a plan. We assess what your current environment (cloud platform, data platforms, Microsoft 365, business applications, network, security posture) can actually support, and what needs to change to enable the AI capability you are targeting.
Build buy configure decisions

Build, Buy or Configure

For each AI use case, we help organisations make informed decisions about whether to build a custom AI solution, configure an existing AI platform (such as Azure OpenAI, Microsoft Copilot, or a specialist AI application), or procure a ready-made AI capability. The right answer varies by use case, organisation size, budget and required control.
AI security and governance

Security, Governance and Risk

AI introduces new governance questions: where is data processed, who has access, how are outputs audited, what happens when the model is wrong, and how does the organisation maintain accountability. We help organisations think through these questions in the context of their specific regulatory environment, whether that includes the Australian Privacy Act, government security frameworks, PROTECTED-level data requirements, or industry-specific compliance.
Implementation roadmap

Sequenced Implementation Roadmap

The output of an Evocate AI strategy engagement is a sequenced implementation roadmap, not a diagram of possibilities, but a prioritised, costed and sequenced plan for moving from current state to target AI capability. Each item on the roadmap has a defined outcome, a recommended approach, a rough effort estimate, and a clear connection to a business result.

What We Help Organisations Work Through

Evocate's AI strategy engagements address the critical questions that determine AI success:

Actual Opportunity Assessment

Honest evaluation of where AI can create value in your specific organisation, not generic use case lists.

Infrastructure Reality Check

Assessment of what your current environment can support and what needs to change.

Build vs Buy Decisions

Informed choices about custom development, platform configuration or procurement for each use case.

Governance & Risk Framework

Practical guidance on security, compliance and accountability tailored to your regulatory environment.

AI Strategy & Roadmap Capabilities Evocate Delivers

Practical delivery areas with the architecture, governance, and adoption detail needed for production Microsoft environments.

1

Use Case Discovery and Prioritisation

Evocate identifies AI opportunities across your organisation through structured workshops, workflow analysis, and technology assessment. We score candidates by business value, feasibility, and data readiness to build a prioritised pipeline.

  • Cross functional workshop facilitation
  • Use case scoring by value, complexity and data readiness
  • Quick win identification for early momentum
  • Long term transformation opportunity mapping
  • Competitive landscape and industry benchmark analysis
2

Technology Landscape Assessment

Evocate evaluates your current technology stack to determine which AI capabilities can be enabled with existing platforms and where new investment is required.

  • Microsoft 365 and Azure capability mapping
  • Data platform maturity assessment
  • Integration architecture review
  • Licensing and cost modelling for target capabilities
  • Build versus buy analysis for custom requirements
3

Governance and Ethics Framework

Evocate establishes the governance structures, policies, and guardrails that allow your organisation to adopt AI responsibly while maintaining compliance with Australian regulations and industry standards.

  • Responsible AI policy development
  • Data governance requirements for AI use cases
  • Risk classification and approval frameworks
  • Regulatory compliance mapping for target capabilities
  • Stakeholder accountability and decision rights
4

Roadmap Development and Business Case

Evocate produces a sequenced implementation roadmap with defined outcomes, effort estimates, dependencies, and business case justification for each initiative.

  • Phased implementation timeline with milestone gates
  • Business case development with ROI modelling
  • Dependency mapping and critical path identification
  • Resource and capability planning
  • Investment staging aligned with budget cycles
5

Execution Planning and Partner Alignment

Evocate translates strategy into actionable implementation plans with clear ownership, success metrics, and procurement guidance for organisations that need to engage multiple delivery partners.

  • Implementation workstream definition and ownership
  • Success metrics and measurement frameworks
  • Vendor evaluation criteria for specialist capabilities
  • Change management and communication planning
  • Executive reporting cadence and governance rhythm

Business Benefits and ROI

Outcomes designed around measurable business value, stronger governance, and lower operational friction.

Connected Strategy

AI strategy that is grounded in your actual systems and connects directly to implementation plans.

Prioritised Roadmap

Clear sequencing of initiatives with defined outcomes, effort estimates and business case connections.

Risk Awareness

Upfront identification of governance, security and compliance considerations before investment.

Practical Outcomes

Deliverables focused on what can actually be built and deployed, not theoretical possibilities.

Evocate’s EVOLVE Methodology

A structured delivery rhythm that keeps discovery, validation, launch, and continuous improvement connected.

1

Engage

Understand your business objectives, current technology landscape, organisational context, and appetite for AI driven transformation.

2

Validate

Assess technical readiness, data maturity, governance posture, and organisational capacity to absorb AI initiatives at the planned pace.

3

Optimise

Prioritise use cases, sequence initiatives, develop business cases, and design governance frameworks that balance speed with responsible adoption.

4

Launch

Present the strategy to stakeholders with a detailed roadmap, resource plan, and recommended first initiatives for immediate execution.

5

Verify

Confirm alignment across business and technology leadership, validate assumptions with pilot results, and finalise the implementation plan.

6

Evolve

Quarterly strategy reviews as new AI capabilities emerge, adjusting priorities and roadmap based on pilot outcomes and market developments.

Integration with the Microsoft 365 Ecosystem

Clean integration points across Microsoft 365, Power Platform, security, automation, and employee experience.

Microsoft 365

Strategy alignment for Copilot, SharePoint, Teams, and Outlook AI capabilities already available within your existing licence investment.

Azure AI Services

Platform strategy for Azure OpenAI, AI Search, Document Intelligence, and custom model deployment for scenarios beyond Microsoft 365.

Power Platform

Low code AI strategy covering AI Builder, Copilot Studio, and intelligent automation within the Power Platform ecosystem.

Dynamics 365

AI strategy for CRM and ERP scenarios including Copilot for Sales, Service, and Finance capabilities.

Microsoft Purview

Governance strategy alignment ensuring AI deployment meets data protection, labelling, and compliance requirements.

Third Party AI

Strategy guidance for scenarios where non Microsoft AI tools may be appropriate alongside or instead of Microsoft capabilities.

Delivery that fits your business

Microsoft Partner

Practical guidance across Microsoft 365, Azure, SharePoint, Teams, Dynamics 365, Power Platform, security, and governance.

Certified Consultants

Senior specialists who can move from strategy into delivery, adoption, migration, support, and continuous improvement.

Australian Business

Local consulting for Australian organisations, backed by national experience and a delivery record across the country.

Why Evocate

Experience

Delivering Microsoft consulting outcomes since 2009.

Clients

Trusted by 186 clients across Australia and the Asia-Pacific region.

Delivery

622 completed projects and 1,068 total engagements.

Basslink
Linx Cargo Care
Melbourne Airport
Mazda
Rinnai
Linfox
Penske
Sigma Healthcare
DJPR
EPA Victoria
Hostplus
University of South Australia
MACG
AIDA
Vinnies
VMCH
EACH
Cohealth
MyHealth
Asteria
Elbit Systems

One conversation. The whole Microsoft platform.

Tell us what you are working on and we will map the right next step, whether that is consulting, licensing, managed services, or all three.

Contact Us

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Frequently Asked Questions

We do not deliver a slide deck of AI possibilities. Our strategy work is grounded in a technical assessment of your actual environment, a structured use case discovery process with your teams, and a sequenced roadmap that connects directly to implementation. The goal is not a strategy document. It is a working plan.
Typically 3-6 weeks for a focused strategy engagement covering one or two business areas. Larger enterprise-wide AI strategies run 6-10 weeks. We can scope to match your timeline and budget.
Yes. Many engagements begin with an organisation that has run pilots or deployed basic AI features but has not yet connected that activity to a clear roadmap. We help organisations assess what they have, what has worked, and how to build from there.