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Readiness Assessment · Use-Case Prioritisation · Roadmap · Business Case · Governance · Adoption

AI Advisory, Roadmap
& Governance

A practical AI plan for organisations running Oracle, from first use case to board-level governance

Boards are asked to approve AI investment without a clear view of what it will do, what it will cost, or how it will be controlled. eAppSys provides that view for organisations running Oracle Fusion or E-Business Suite: an honest readiness assessment, a short list of use cases worth doing, a costed roadmap and a governance framework that stands up to audit.

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Home › Data & AI › AI Advisory, Roadmap & Governance

AI Advisory

AI Advisory Services for Oracle — Service Areas

eAppSys provides AI advisory services for Oracle customers. Boards are asked to approve AI investment without a clear view of what it will do, what it will cost, or how it will be controlled. eAppSys provides that view for organisations running Oracle Fusion or E-Business Suite: an honest readiness assessment, a short list of use cases worth doing, a costed roadmap and a governance framework that stands up to audit.

AI advisory, roadmap, and governance strategy illustration

AI Readiness Assessment

Where the organisation actually stands on data, platform, skills and governance before any AI is built.

  • Data readiness scored by domain using the Semantic Foundation™ lens
  • Oracle Fusion and EBS AI capabilities already licensed and unused
  • Platform position: Oracle AI, Azure AI, or both
  • Skills and operating model gaps
  • Readiness report with a ranked set of blockers

Use-Case Discovery & Prioritisation

A short list of AI use cases chosen for value and feasibility, not for headlines.

  • Process workshops across finance, HR, procurement and operations
  • Each use case scored on value, data readiness, risk and effort
  • Embedded Fusion AI versus custom agent versus Azure AI per case
  • First three use cases defined with success measures
  • Cases that should not be done, and why

AI Roadmap & Business Case

A sequenced, costed plan the board can approve and the organisation can deliver.

  • Twelve to twenty-four month roadmap in phases
  • Fixed-price estimates for each phase
  • Dependencies on data cleansing, platform and skills made explicit
  • Benefits stated in operational terms with owners
  • Decision gates between phases

AI Governance Framework

Policies, controls and oversight so AI is used within the organisation's risk appetite and legal obligations.

  • AI policy and acceptable-use standards
  • Risk classification of use cases and required controls
  • UK GDPR, data protection impact assessment and retention
  • Alignment to ISO/IEC 42001 where the organisation wants certification
  • Board and audit committee reporting

AI Governance Framework

Data & Platform Decisions

Where AI should run and what data it should read, decided before money is spent.

  • Oracle Fusion AI, Fusion Data Intelligence and Agent Studio fit
  • Microsoft Azure AI and Fabric fit where the estate is hybrid
  • Data foundation requirements and cleansing scope
  • Integration and identity implications
  • Licensing and consumption cost model

Adoption, Skills & Change

AI delivers when people use it. Adoption is planned, not assumed.

  • Role-based training for finance, HR and operations users
  • Champions network and feedback loop
  • Operating model for requesting, approving and retiring AI use cases
  • Measures of adoption reported alongside benefits
  • Internal communications plan

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BS EN ISO/IEC 27001:2022
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Delivery Approach

Delivery Approach

eAppSys delivers AI advisory engagements in a structured phased approach — clear outputs and decision gates at every stage.

 
01

Assess

Readiness across data, platform, skills and governance; stakeholder interviews; blockers ranked

02

Prioritise

Use-case workshops; scoring; first three cases defined with owners and success measures

03

Plan

Phased roadmap, fixed-price estimates, benefits and dependencies; governance framework drafted

04

Approve

Board pack, decision gates, governance sign-off; transition to delivery or to a further advisory phase

Why eAppSys

Your AI Advisory Partner

We Deliver What We Advise

eAppSys builds Fusion agents, cleanses data and runs Azure AI platforms. The roadmap is written by people who will be held to it, so the estimates are real.

Oracle Knowledge Built In

Much of the AI an Oracle customer needs is already licensed inside Fusion. The assessment starts by finding what is switched off before recommending anything new.

Honest About Readiness

If the data will not support an AI use case, the report says so and puts cleansing first. A roadmap that ignores this fails in delivery.

Governance the Board Can Sign

Policy, risk classification and reporting are written for audit committees, not for technologists, and align to recognised standards where certification is wanted.
Common Questions

Frequently Asked Questions

How long does an advisory engagement take?
Typically four to six weeks for readiness, prioritisation and roadmap, with the governance framework produced in parallel. Larger multi-entity organisations may take longer, agreed at scoping.
eAppSys works primarily with Oracle and Microsoft platforms and says so. Within those, the recommendation is based on fit and cost for your estate, including recommending that some use cases are not worth doing.
AI policy, acceptable use, risk classification of use cases, required controls per class, data protection obligations under UK GDPR, roles and accountabilities, and board reporting. It can be aligned to ISO/IEC 42001 where certification is an objective.
No. The roadmap and governance framework are yours to take to any partner. Many clients do ask eAppSys to deliver the first phase because the estimates were made by the same team.
Yes. A review engagement tests an existing strategy against data readiness, platform fit and governance, and produces a gap report with recommendations.
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