A2O™: AI from Advisory to Operationalisation
— helping organisations turn strategy into
trusted, scalable outcomes with real value.
Research shows that 88% of AI proofs-of-concept never make it into production1,
and many enterprises report that 95% of their generative AI initiatives fail to deliver measurable impact2.
Sources: 1Lenovo via CIO on AI POC production rates
2MIT State of AI in Business 2025 on GenAI pilots
Services
Advisory & Strategy
Value cases, roadmap, ROI model.
Value cases, roadmap, ROI model.
Data & Architecture
Readiness, platform patterns, reference architectures.
Readiness, platform patterns, reference architectures.
Model & Product
Use-case design, model dev (classical + GenAI), eval.
Use-case design, model dev (classical + GenAI), eval.
Trust, Risk & Compliance
Policy, privacy, security, model risk management.
Policy, privacy, security, model risk management.
Operationalisation (MLOps)
CI/CD, monitoring, SLOs, reliability engineering.
CI/CD, monitoring, SLOs, reliability engineering.
Change & Enablement
Playbooks, training, adoption, post-launch optimisation.
Playbooks, training, adoption, post-launch optimisation.
The A2O™ Operating Model
Assess
2–4 week diagnostic to uncover value and unblock production.
2–4 week diagnostic to uncover value and unblock production.
Accelerate
Ship a governed production pathway for the first use case.
Ship a governed production pathway for the first use case.
Adopt
Platform guardrails, measurable KPIs and most importantly - user consumption.
Platform guardrails, measurable KPIs and most importantly - user consumption.
Let’s get your AI into production
Book a 30-minute session to learn more about how A2O™ can help you.