AI advisory

With a successful approach to digital transformation and the use of AI, companies have the power to ensure their future viability in terms of performance, resilience and growth.

A vision alone is not enough for change. Adaptability, a well-thought-out strategy, a clear implementation plan and responsible AI governance are crucial.

How we can help

Our approach 

AI strategy and transformation

Without a clear use case for AI in the organisation, whether part of an IT, organisational or a standalone AI strategy, the likelihood of failure and poor return on investment is high. 

In order to build AI into your strategy, or to have an AI strategy, a cross-functional skill set is required that leans on people, technology, process and change. AI can be a transformational technology that has socio-technical impacts that need to be understood to be leveraged and managed. 

Your goals will sit at the core of the overall strategy, whether that’s driving revenue, improving efficiency, quality and compliance or working smarter and more innovatively. We work with you to identify the key functions that can be improved by digital innovation such as in finance, sales, operations, supply chain, procurement and HR.

AI strategy and transformation services

  • North star and roadmap:
    Vision, outcomes, investment case and a sequenced plan tied to business KPIs.
  • Use case portfolio:
    Intake, scoring and prioritisation; value/risk scoring; go/no go criteria.
  • Readiness assessment:
    People, process, data and technology readiness with targeted uplift actions.
  • Change and adoption:
    Role design, communications, incentives and new ways of working.
  • Training and awareness:
    Leader and practitioner enablement; playbooks for product, data and ops.
  • AI driven transformation:
    Process design, operating model updates and org shaping.
  • Value and ROI:
    Benefits modelling, measurement framework and value realisation cadence.
  • Innovation lab/accelerators:
    Structured experiments to de risk and build momentum. 

Responsible AI governance

Managing AI throughout its lifecycle requires a range of activities that combine to become responsible AI governance. Our approach to this enables organisations to have confidence in using AI, managing risks, compliance and maximising responsible uses.

We work with the business to identify where existing governance processes can be utilised to take AI into account, driving for efficiency and appropriate controls.

Responsible AI governance services

  • AI governance:
    Acceptable use policy, approval workflows and model risk tiering guardrail tooling.
  • Compliance:
    EU AI Act gap assessment and roadmap, supplementary regulations such as GDPR.
  • Risk management:
    Impact assessments, bias/fairness testing, red teaming, human oversight and escalation.
  • Ethics advisory:
    Transparency, explainability, fairness, accessibility and user notices.
  • Third party AI risk:
    Vendor / model evaluation, contractual controls and supply chain due diligence.
  • Documentation and monitoring:
    Model cards, data sheets, logs/traceability, incident response and kill switches.
  • Training and enablement:
    Practical workshops and checklists for product, DS/ML and legal and risk teams.

Contact us

Get in touch with us today to discuss which AI advisory services would benefit your unique businesses situation best.

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