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.
- 01
Diagnose
Identify valuable use cases, risks and capability gaps across the organisation.
- 02
Design
Redesign workflows, roles, decision rights, evidence standards and controls.
- 03
Prove
Run bounded implementations and measure value, risk and adoption.
- 04
Scale
Embed successful systems across the operating model with ownership, training and governance.
- 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:
- 01Prioritised AI opportunity portfolio
- 02Workflow and decision-rights maps
- 03Business case and value-measurement framework
- 04AI governance and escalation model
- 05Workforce-impact and adoption plan
- 06Pilot specification and vendor brief
- 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