The practice
AI advisory for organisations and policy.
Two distinct services: practical organisational AI advisory, and independent policy research and analysis.
Service one
Organisational AI Advisory
Strategy, operating-model design, adoption, governance and value realisation for organisations putting AI to work in practice.
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
- 02
Design
- 03
Prove
- 04
Scale
- 05
Steward
- 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
- 05AI use policies and human oversight procedures
- 06Workforce-impact and adoption plan
- 07Pilot specification and vendor brief
- 08Board-ready implementation roadmap
Client work · AMP Concept
Connecting workforce operations, management decisions and commercial control.
A service-line operating model connecting traceable records, management reporting and workforce economics for AMP Concept.
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
Service two · Policy & research
AI Policy & Research Advisory
Independent research and policy analysis on AI, human rights and institutional responsibility.
Policy and research engagements are commissioned separately from our organisational AI and implementation services.
Who it is for
Businesses, professional bodies, research organisations and public institutions seeking evidence-based analysis of AI policy.
What we deliver
Comparative policy analysis
Research comparing AI policy and regulatory approaches across the UK, EU and US, with clear implications for the question under review.
Policy briefs & position papers
Evidence-based analysis that sets out policy options, competing considerations and reasoned recommendations.
Consultation support
Research, evidence synthesis and drafting support for responses to public consultations and calls for evidence.
Commissioned research & briefings
Focused reports and tailored briefings on AI, social robots, human rights and institutional responsibility.
How engagements work
Each commission begins with an agreed question, audience and intended use. We define the research scope, source base, outputs and review stages, then deliver analysis that distinguishes established evidence, uncertainty and our own recommendations.
Research foundation
Our approach draws on doctoral research into AI regulation and human rights, multidisciplinary responsible AI research and legal analysis.
Synesis provides policy research and advisory services. We do not provide formal legal opinions or legal representation.