AI & Transformation

AI Audit & Strategy

Identify where AI can create value, what your organisation can realistically deploy and where to invest first. OLING develops an AI maturity assessment and roadmap aligned with business priorities.

AI Audit & Strategy
Identify where AI can create value, what your organisation can realistically deploy and where to invest first. OLING develops an AI maturity assessment and roadmap aligned with business priorities.
Scope of the service

AI Audit & Strategy

Scope of our engagement

  • Audit of declared and informal AI use, tools and suppliers
  • Assessment of data, IT, organisational and skills maturity
  • Business interviews and analysis of high-effort or highly variable processes
  • Technical assessment of interfaces, permissions and data quality
  • Prioritisation by value, feasibility, effort and risk
  • Target architecture, investment trajectory and a 12–24 month AI roadmap

Deliverables and decision criteria

Assessment report, opportunity map, value/feasibility/risk matrix and prioritised portfolio. Each business case specifies the process, volume, total cost, benefit assumptions, dependencies and an accountable owner. The roadmap sequences pilots, data foundations and investment decisions.

Prerequisites, controls and limitations

The assessment requires representative data samples and access to process owners. Benefits remain hypotheses to test: time saved creates value only if the organisation can redeploy it. A deterministic workflow may be more appropriate than a generative model.

Discuss your AI project

Our method: from business need to measured value

  1. Understand

    Analyse the organisation, activities, people, data and IT landscape. Observe real work and pain points before selecting a solution.

  2. Prioritise

    Compare business value, feasibility and risk. Establish a baseline, a business owner and success criteria for each use case.

  3. Design

    Define the target process, architecture, interfaces, responsibilities, human approvals and performance indicators.

  4. Experiment

    Test a pilot on representative situations, including failure cases. Compare quality, cost and usefulness with agreed criteria.

  5. Deploy

    Integrate with applications, run acceptance and rollback checks, train users and support managers.

  6. Measure

    Track benefits, errors, costs, adoption and incidents. Regularly reassess models, data and controls.

FAQ

What does an enterprise AI audit cover?

An inventory of uses, an assessment of data, IT and organisational readiness, process analysis and use-case prioritisation. Findings specify risks, prerequisites and an investment trajectory.

Bringing the right expertise together

Objectives

Objectives agreed with your teams

  • Identify where AI can create value, what your organisation can realistically deploy and where to invest first. OLING develops an AI maturity assessment and roadmap aligned with business priorities.
  • Deliverables defined during project scoping.
Related projects

Examples of assignments

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Discuss your project

AI Audit & Strategy

Identify where AI can create value, what your organisation can realistically deploy and where to invest first. OLING develops an AI maturity assessment and roadmap aligned with business priorities.