How we work

Align. Diagnose. Deliver.

We work with leadership teams in law and accountancy firms on the organisational side of AI adoption: who owns it, what it changes about the work, how people and managers are adapting, and whether the firm can demonstrate any resulting value.

There are two different levels of assessment. The fixed-fee Workflow & AI Value Review examines one defined workflow. It is a focused starting point and does not assess all six critical areas or produce an AI Value Realisation Index (AVRI) score.

The full AI Adoption Diagnostic is a separate, more in-depth engagement. It examines six critical areas and twenty-four underlying drivers across the organisation and uses AVRI to establish a baseline. The stages below show how this broader work moves from leadership alignment to evidence-based diagnosis and, where commissioned, delivery.

Leadership team in a boardroom discussing the AI Readiness Diagnostic — Newbery Advisory

The three stages

Stage 1

Align

Agree the organisational outcome, priorities and ownership

Stage 2

Diagnose

Full Diagnostic: six critical areas, 24 drivers and an AVRI baseline

Stage 3

Deliver

Separately scoped intervention with named owners and tracked progress

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Align

Align

Before a full Diagnostic begins, the relevant leaders need to agree what the firm is trying to achieve, which priorities matter now, who has authority to make decisions and what evidence would constitute progress.

We facilitate a structured leadership discussion to define the intended business outcome, agree the scope, identify the executive sponsor and working owner, clarify the decisions that will be needed and confirm whose experience and evidence must inform the work.

The outcome

An agreed organisational priority, clear scope, named sponsorship and ownership, defined decision rights and a mandate to examine what is happening in practice.

Diagnose

Diagnose

This stage describes the full AI Adoption Diagnostic. It is separate from the fixed-fee Workflow & AI Value Review, which examines one defined workflow and does not produce an AVRI score.

We assess the organisational conditions affecting AI adoption across six critical areas and twenty-four underlying drivers, drawing on relevant evidence from across the firm.

The AI Value Realisation Index (AVRI) establishes a baseline and helps leadership identify where adoption is being enabled, where it is being constrained and what should be prioritised next.

The outcome

An evidence-based baseline, a prioritised view of the principal barriers and opportunities, and a clear basis for deciding what to address next.

6critical areas
24underlying drivers
1organisational baseline

Deliver

Deliver

Where further support is commissioned, we help turn the priorities identified through the Review or Diagnostic into changed ways of working.

Delivery is separately scoped and is not automatically included in either assessment.

The work is separately scoped around the firm's specific needs and may include leadership alignment, workflow and role changes, manager enablement, workforce capability and practical measurement of adoption and value.

The outcome

Clear ownership, practical changes embedded into day-to-day work, and a sustainable approach to tracking progress.

Specialist deep-dives

When AI change lands in People & Talent

Some of the most sensitive uses of AI sit inside People & Culture — not because HR owns the technology, but because recruitment, performance, learning, workforce planning and role design directly affect people's opportunities and experience of work.

Gareth's background across People & Culture, inclusion and diversity, talent acquisition, talent management and international organisational change allows Newbery Advisory to go deeper when these issues are material to adoption, trust or value.

This is organisational and process advisory, not legal compliance certification or technical model testing. Where legal interpretation or technical assurance is required, we identify the question clearly and work alongside the appropriate specialist.

Two areas where we go deeper

AI in hiring and people decisions

We examine where AI touches recruitment, selection, performance, promotion or other workforce decisions: what the tool influences, where human judgement sits, who owns checking and escalation, how candidates and employees experience the process, and where fairness, transparency or governance require attention.

The result is a practical view of where ownership, human judgement, checking, escalation and the candidate or employee experience need strengthening before the process is relied on more widely.

HR-led adoption and workforce capability

We support HR and People leaders who are being asked to help turn an AI rollout into changed ways of working. That includes clarifying HR's role alongside business and technology leaders, translating priority use cases into role-specific behaviours, defining manager expectations and connecting learning to real workflows.

Depending on the need, this can also include employee communication and listening, practical learning design, manager reinforcement, workforce and role implications, and measures of confidence, adoption and sustained behaviour change.

Fees

The Workflow & AI Value Review is a focused, fixed-fee engagement covering one defined workflow. It costs £1,500 / €1,800. It does not include the six-area AI Adoption Diagnostic or an AVRI score.

The full AI Adoption Diagnostic and any subsequent delivery work are separate engagements. Their scope and fee depend on the firm's size, the evidence available and the breadth of the work, and are agreed after an initial conversation.

Scope

Newbery Advisory is a boutique advisory firm specialising in organisational AI adoption, governance, change management and value measurement.

We do not develop software, integrate systems or carry out technical audits, legal certification or model testing.

Where required, we work alongside technology, legal and cybersecurity specialists.

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