AI & Digital Operations
We help organisations embed data, digital tools and artificial intelligence into their core operations to improve decision quality, execution speed and operational performance.
The Challenge
Digital and AI initiatives often fail not because of technology, but because they are disconnected from day-to-day operations. At Synate Advisory, we focus on translating digital ambition into operational reality. We work directly within core processes to ensure that data, analytics and AI capabilities are tightly integrated into how work is planned, executed and controlled.
Our approach combines operational excellence with advanced analytics and pragmatic digital architecture. Rather than deploying isolated tools or proofs of concept, we design solutions that address real operational constraints and can be sustained by the organisation over time.
The GenAI productivity gap
Why initiatives fail
Transformations often stumble when they lack operational grounding
Unclear goals & problem definition
Many tools are introduced without a clear value hypothesis, risking resource waste and misaligned outcomes.
Missing process integration
Tools remain isolated solutions when not embedded into redesigned end-to-end workflows.
Low adoption & change readiness
Users adopt tools sporadically when the immediate benefit is not apparent in their daily work.
No measurement & KPIs
Without clear metrics, the actual added value is difficult to assess and improvements stall.
What we do
We support clients across the full lifecycle of AI and digital operations, from strategic framing to implementation and scale-up.
AI use-case identification and prioritisation
We identify high-impact AI and analytics use cases grounded in operational pain points, economic value and data availability. Use cases are prioritised based on feasibility, scalability and measurable business impact.
Operational data foundation
We design and stabilise data flows across operational systems to ensure reliable, timely and decision-relevant data. This includes data models, interfaces, governance structures and quality mechanisms aligned with operational processes.
Digital process redesign
We redesign end-to-end processes to fully leverage digital tools and automation, eliminating manual work, reducing variability and increasing transparency across operational value streams.
Implementation and capability transfer
We support hands-on implementation, pilot roll-outs and scaling, while building internal capabilities to ensure long-term ownership and impact beyond the project.
HOW WE WORK
Our work is characterised by close collaboration with operational teams and a strong execution focus
Embedded teams
Embedded project teams working directly within operations
Rapid prototyping
Rapid prototyping and iterative deployment rather than long design phases
Clear metrics
Clear performance metrics tied to cost, productivity, service and resilience
Adoption focus
Strong focus on adoption, change and operational ownership
Embedded teams
Embedded project teams working directly within operations
Rapid prototyping
Rapid prototyping and iterative deployment rather than long design phases
Clear metrics
Clear performance metrics tied to cost, productivity, service and resilience
Adoption focus
Strong focus on adoption, change and operational ownership
“We do not position AI as a standalone solution. Instead, we treat it as an integral component of a broader operating model that combines people, processes, systems and data.”
Driving measurable results through AI and digital operations
Impact
Clients typically achieve measurable improvements in:
Decision speed and decision quality
Operational productivity and cost efficiency
Forecast accuracy and planning stability
Transparency and control across complex operations
Scalability and resilience of digital solutions
Our goal is not digital sophistication for its own sake, but operational results that persist.