The practice

From first diagnosis to sustained AI stewardship.

A single, bounded delivery path takes clients from an honest diagnosis to a governed AI portfolio — and keeps it trustworthy over time.

Where to begin

Start with a focused AI diagnostic.

A bounded engagement for leadership teams deciding where AI merits investment, which workflows should be prioritised, and what organisational conditions must be established before implementation.

Who it is for

Managing partners, executive teams, COOs, transformation leaders, general counsel and functional leaders navigating a material AI decision.

Typical duration

Three to four weeks, indicative and shaped to the decision at hand.

What it includes

Executive alignment session; review of priority workflows, current AI activity and organisational readiness; value, risk and dependency assessment; prioritised opportunities and recommended next steps.

Outcome

A prioritised AI opportunity portfolio, risk and readiness assessment, and board-ready action plan.

Methodology

Judgment by Design

One connected five-stage journey, practical at every AI investment and deployment decision.

  1. 01

    Diagnose

    Identify valuable use cases, risks and capability gaps across the organisation.

  2. 02

    Design

    Redesign workflows, roles, decision rights, evidence standards and controls.

  3. 03

    Prove

    Run bounded implementations and measure value, risk and adoption.

  4. 04

    Scale

    Embed successful systems across the operating model with ownership, training and governance.

  5. 05

    Steward

    Govern and continuously improve the AI portfolio as technology, regulation and organisational needs evolve.

What clients receive

Tangible outputs.

Deliverables are shaped to the engagement. A typical portfolio includes:

  1. 01Prioritised AI opportunity portfolio
  2. 02Workflow and decision-rights maps
  3. 03Business case and value-measurement framework
  4. 04AI governance and escalation model
  5. 05Workforce-impact and adoption plan
  6. 06Pilot specification and vendor brief
  7. 07Board-ready implementation roadmap

Delivery

How delivery is structured.

Synesis leads enterprise AI strategy, operating-model design, governance, adoption and value realisation.

Where implementation requires specialist architecture or engineering, we define the requirements and coordinate the appropriate technical capability alongside the client.

Who we serve

Professional services and workforce-intensive organisations.

For organisations where value depends on people, judgement and complex operations — and where AI must work in practice, not only in a pilot.

  • Staffing and workforce solutions
  • Aviation and airport services
  • Advisory and consultancy firms
  • Compliance and risk functions
  • Accountancy and other professional services
  • Other judgement-intensive service organisations