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AI Frontier · Roadmap

Your AI Roadmap and Reference Architecture — Defensible, Sequenced, Built to Scale.

After Readiness comes the harder question: in what order do we build, and on what foundation? Daxonet's AI Transformation Roadmap & Architecture service produces a phased 12-24 month plan, an Azure-native reference architecture aligned with the Cloud Adoption Framework, and a use-case sequencing matrix that respects your governance, talent, and ROI constraints.

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Cross-functional team planning an enterprise AI roadmap.
5
Pillars: Strategy · Data · Architecture · Adoption · Governance
30d
Board-ready architecture & sequencing plan

Daxonet's AI Transformation Roadmap & Architecture service produces a phased 12-24 month AI delivery plan, an Azure-native reference architecture aligned with Microsoft's Cloud Adoption Framework (CAF) and Azure Well-Architected Framework (WAF), and a use-case sequencing matrix optimised across 5 pillars: data foundation, AI services, governance, talent, and value realisation. Engagement runs 4-6 weeks for single-domain scope, 8-12 weeks for multi-entity transformation.

Outcomes

What does a CFO actually walk away with?

Three artefacts. Each addresses a question the steering committee asks repeatedly throughout an AI transformation. The artefacts sit together as the durable plan for the next 12-24 months.

A

Sequenced Roadmap

5-8 phased waves over 12-24 months. Each wave: scope, dependencies, capacity needed, expected value, risk. Modular — the board can ramp up or pause independently.

B

Reference Architecture

Conceptual + logical + physical diagrams for Azure-native AI. CAF and WAF aligned. Networking, identity, observability, cost-control all explicit. Engineering buildable from day one.

C

Operating Model

Centre-of-excellence design, partner mix recommendations, capability gap plan, governance committee charter. The "who runs this" answer the CEO will ask first.

5 Pillars

The framework Daxonet builds every AI roadmap on.

Each pillar gets a target-state architecture and a gap-closure backlog. The pillars don't change between engagements — what's behind them does.

Data Foundation

Microsoft Fabric, Synapse, Lakehouse, lineage and governance.

AI Services

Azure OpenAI, Cognitive Services, Copilot Studio, custom models.

Governance & Security

Entra, Purview, responsible-AI controls, PDPA alignment.

Talent & Operating

CoE design, partner mix, capability plan, governance charter.

Value Realisation

KPI design, measurement, ROI tracking, sunset criteria.

Methodology · CAF + WAF

How does a Roadmap engagement actually run?

Four phases across 4-6 weeks for single-domain scope. Multi-domain runs in parallel work-streams, completing in 8-12 weeks total.

  1. 01

    Foundation

    Confirm Readiness output. Establish target state per pillar. Document non-functionals: latency, scale, residency, cost ceilings.

  2. 02

    Architect

    Reference architecture across the 5 pillars. RIPs for top-5 use cases. Cost models per Azure resource type. Networking and identity.

  3. 03

    Sequence

    Wave the use cases by dependency, value, risk, capacity. Build the 12-24 month delivery plan. Operating-model design.

  4. 04

    Approve

    Steering committee readout. Microsoft FastTrack review (where eligible). Wave 1 scoped for Implementation handoff.

Reference Architecture

A buildable Azure-native AI architecture, not a strategy slide.

Every Roadmap engagement produces a layered architecture diagram across 5 horizontal layers: Data, AI Services, Application, Experience, Governance. Below is a simplified preview — full version is per-engagement and customised to your Azure landing zone, identity, and security model.

Layer 1
Data Platform
Fabric · Synapse · Purview
Layer 2
AI Services
Azure OpenAI · Cognitive
Layer 3
Application
Functions · App Service · Logic
Layer 4
Experience
Copilot · Power Apps · Teams
Layer 5
Governance
Entra · Defender · Policy
FAQ

What do clients ask before commissioning this service?

How is this different from AI Readiness Assessment?
Readiness diagnoses the current state and produces a top-5 use case shortlist. Roadmap & Architecture sequences those use cases into delivery waves, designs the technical foundation they share (data platform, AI services, governance), and produces the architecture diagrams the IT team uses to build. Most clients run Readiness first, then Roadmap & Architecture as the next engagement. Readiness answers 'are we ready?'; Roadmap answers 'in what order do we build, on what foundation?'
Do you produce actual architecture diagrams or just strategy?
Both — but the architecture diagrams are the deliverable that engineering uses on Monday morning. We produce: (1) Conceptual architecture (board-level, single page), (2) Logical architecture (per use-case wave), (3) Physical architecture (Azure resource diagrams, networking, identity, observability), (4) Reference Implementation Patterns (RIPs) for the most common scenarios — RAG over enterprise data, Copilot extension, predictive maintenance, document intelligence. The strategy document holds the diagrams together; the diagrams hold the engineering accountable.
What's covered in the 5-pillar framework?
(1) Data Foundation — Microsoft Fabric / Synapse / Lakehouse design, lineage, governance. (2) AI Services — Azure OpenAI, Cognitive Services, Copilot Studio, custom models. (3) Governance & Security — Entra ID, Purview, responsible-AI controls, PDPA alignment. (4) Talent & Operating Model — internal capability, partner mix, centre-of-excellence design. (5) Value Realisation — KPI design, measurement plan, ROI tracking. Each pillar has a target-state architecture and a gap-closure backlog.
Is this Microsoft FastTrack and CAF aligned?
Yes. The architecture is designed to Microsoft Cloud Adoption Framework (CAF) for Azure and Azure Well-Architected Framework (WAF) standards. For D365 Copilot rollouts, we use the Microsoft FastTrack Solution Assessment process. This means the deliverables are review-compatible with Microsoft engagement plans and qualify for FastTrack co-delivery on eligible engagements — an independent quality gate at Microsoft's expense for the board.
How long does the engagement take?
4-6 weeks for single-domain scope (one business unit, one industry, one set of use cases). 8-12 weeks for multi-entity / multi-country / multi-domain transformations where the architecture must support several business contexts. We do not run multi-quarter roadmap engagements on this scope; if your environment requires longer, scope is split into sequential phases that each deliver.
What about responsible AI, IP risk, and PDPA?
Built into the Governance pillar from day one. Every use case is scored on AI-risk dimensions: model bias, data residency (Malaysian PDPA + cross-border), IP exposure (training data, model outputs, prompts), explainability requirements, audit trail. Where a use case fails the risk threshold, the architecture includes specific mitigations (private model deployment, data masking, retrieval-only patterns) or the use case gets re-scoped or deferred. We do not ship architectures that pass the technology test but fail the legal one.
Do you partner with Microsoft on this?
Yes. Daxonet is a Microsoft Solutions Partner across Business Applications, Modern Work, and Data & AI. For qualifying enterprise engagements, Microsoft FastTrack and Customer Success Account Management teams co-deliver alongside Daxonet. We coordinate the engagement so you get one combined output, not two separate streams of consulting effort.
Ready to start?

Book a 45-minute briefing with a Daxonet principal.

We review your current state, map a phased path to your target outcome, and tell you honestly whether we are the right partner — or who is.

Book a Roadmap Engagement +603-9212 8336
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