Predictive modelling & risk analytics
Design predictive models with quantified uncertainty for confident decisions.
Boutique analytics partner
Empowering decisions with AI and advanced data analytics
Bayesian AI is a boutique consultancy that turns complex data into practical, defensible decisions. We provide personalised analytics, data science, AI, and statistical support tailored to each engagement.
- Statistical support for peer reviewed medical research.
- AI governance and actuarial depth for regulated contexts.
- Delivery experience across healthcare, government, and professional services.
Services
What we deliver
Structured engagements with clear governance and communication.
AI governance & assurance
Set guardrails, evaluation protocols, and documentation for responsible AI adoption.
Automation & data products
Build automation, dashboards, and data products that reduce manual reporting.
Research analytics support
Provide study design, peer review support, and publication-ready analysis.
Industries
Where rigour matters most
We specialise in complex, regulated, or high-stakes environments.
Healthcare and life sciences
Evidence and analytics for clinical and research teams.
- Clinical research and outcomes analysis
- Decision support and methodology review
Government and public sector
Support for programs that face public and audit scrutiny.
- Forecasting and planning
- Performance measurement and evaluation
Professional services
Analytics that improve client delivery and product quality.
- Analytics products and reporting
- Risk, compliance, and optimisation
About
A boutique partner for leaders who need defensible analytics
Senior expertise, lean teams, and communication that lands with executives and auditors.
Why teams engage us
At Bayesian AI, we specialise in turning complex data into practical, defensible decisions. As a boutique consultancy, we provide personalised analytics, data science, AI, and statistical support tailored to each client and context.
Our track record includes comprehensive statistical support for medical research projects that have been published in peer reviewed journals. This reflects how we work: clear assumptions, careful methods, and outputs that stand up to scrutiny.
How to get started
If you are designing a study, working with challenging datasets, building predictive models, or strengthening AI governance, Bayesian AI can help you move from analysis to decisions with confidence.
Book a callPrincipal
Meet Peter Morian
An actuary and data scientist who brings governance-focused analytics to every engagement.
Peter Morian (BActSt BEc MDS AIAA GAICD) is an experienced actuary and data scientist, and the founder of Bayesian AI, a boutique analytics consultancy specialising in AI-driven insights for healthcare, government, and professional services.
Combining actuarial precision with modern data science, Peter helps organisations make better decisions through predictive modelling, automation, and risk analytics. He has delivered statistical support for peer reviewed medical research, developed intelligent analytics platforms, and advised on AI governance and ethical data use.
Beyond consulting, Peter serves on boards and advisory groups, including the Royal Australasian College of Surgeons Advisory Group on AI in Surgery and the Experience Life Board. He brings technical depth and board-level insight to help organisations adopt AI responsibly and for long-term impact.
What you get
Clear deliverables that stand up to scrutiny
Designed to communicate clearly with executives, boards, and regulators.
Decision brief and success measures
Defines decisions, KPIs, and acceptance criteria before delivery begins.
Transparent assumptions and limitations
Summarises uncertainty, traceability, and sensitivities for stakeholders.
Stakeholder ready report or dashboard
Clear outputs tailored to executives, operators, and boards.
Documentation suitable for governance and audit
Methodology, data lineage, and controls captured for assurance.
Process
Methodical, transparent delivery
From framing to governance, every step keeps decision-makers aligned.
Discovery & framing
Discovery & framing
Clarify the decision, constraints, and the evidence needed for confidence.
Data, design, and validation
Data, design, and validation
Profile data, choose defensible methods, and test early with stakeholders.
Build & explain
Build & explain
Develop models and automation with clear rationale and walkthroughs.
Deliver & govern
Deliver & govern
Deploy with training, documentation, and governance-ready evidence.
Work
Selected engagements
Representative examples that show our emphasis on clarity and governance.
Clinical trial decision support
Problem: A research team needed to prioritise trial arms with limited data.
Approach: Built Bayesian models to quantify uncertainty and run scenarios with clinicians.
Outcome: Provided publication-ready analysis that supported go/no-go choices and reduced rework before ethics review.
Responsible AI rollout
Problem: A services firm wanted to adopt generative AI while meeting governance obligations.
Approach: Defined guardrails, evaluation protocols, and lightweight assurance artefacts.
Outcome: Delivered a board-ready governance pack, reduced manual reporting, and improved confidence in AI usage.
2025: Published medical research on surgical outcomes
expertise-0Bayesian AITrusted for peer reviewed analytics
expertise-1Bayesian AIGovernance-focused AI delivery
expertise-2Bayesian AIActuarial and data science expertise
expertise-3Bayesian AI
FAQ
Straight answers, no buzzwords
Clear guidance on fit, governance, and how we deliver.
What projects are a good fit?
Engagements that need transparent analytics, defensible AI, and clear communication for executives or regulators.
How do you handle sensitive data?
We align with client security requirements, minimise data movement, and document access, lineage, and controls.
How do you approach responsible AI and governance?
We incorporate risk assessment, human oversight, and evaluation checkpoints from the outset, not as an afterthought.
What does an engagement look like?
Clear milestones, frequent updates, and delivery artefacts tailored to decision-makers and technical reviewers.
Can you support peer reviewed publication work?
Yes. We provide reproducible analysis, clear methods, and collaboration with research teams and reviewers.
Insights
Insights and research
Guidance for defensible analytics plus published work our team has supported.
2024Published Research
Published medical research on surgical outcomes
Bayesian AI provided statistical support for a peer reviewed study published on PubMed.
View on PubMed →Coming soonBayesian AI
Defensible analytics in high stakes environments
A practical checklist for transparent modelling, reproducibility, and risk communication.
Read moreComing soonBayesian AI
Responsible AI adoption for boards and executives
How to balance velocity with governance, including lightweight evidence packs.
Read moreReady to make a decision with confidence?
Book a call to outline objectives, constraints, and how we can help.
Contact
Let's make your analytics defensible.
Share your goals and constraints. We'll respond with a clear next step within one business day.
info@bayesiananalytics.com.au