Advisory
Enterprise architecture advisory for banking, integration, cloud, AI, and modernization.
I help technology leaders make high-impact architecture decisions across digital banking, payments, fraud, enterprise integration, cloud platforms, and AI-enabled delivery — with a focus on practical execution, risk reduction, and systems that can actually operate in production.
Professional background
Senior solution architecture advice grounded in regulated, enterprise-scale delivery.
This advisory practice is led by a senior solution architect and enterprise technology advisor based in Toronto, with more than two decades of experience designing and delivering enterprise-grade solutions for financial services and other complex industries. The work spans core banking modernization, digital banking platforms, payments, fraud and AML integration, customer onboarding, CRM integration, enterprise service bus modernization, cloud-native platforms, microservices, API architecture, event-driven systems, and large-scale system integration.
EQ Bank / Concentra Bank, BMO, RBC, ATB Financial, Manulife, Holt Renfrew, Dapasoft, Berkeley Payment, Avanade, and China Telecom.
Azure Solutions Architect Expert, Azure Developer Associate, Google Cloud Professional Cloud Architect, TOGAF 9, PMP, ITIL, Microsoft developer certifications, and Sun Certified Java Programmer.
Advisory pillars
Five pillars that match the decisions enterprise teams actually need help making.
Pillar 01
Banking, payments, and core-system modernization
This work focuses on modernizing core banking and payment-adjacent platforms while preserving operational clarity, risk controls, and delivery momentum. It is especially relevant where deposits, onboarding, fraud, holds, and surrounding integrations cut across multiple teams and systems.
- Core-banking target-state decisions
- Deposits, holds, and fraud-adjacent architecture
- Digital banking and onboarding flows
- Payments integration boundaries
- Modernization sequencing and dependency control
Pillar 02
Enterprise integration and API architecture
Enterprise integration quality usually depends less on tooling than on ownership, contract shape, and failure-path design. The emphasis here is on durable integration architecture that can survive downstream change without accumulating hidden coupling.
- System-of-record and data-ownership boundaries
- API and domain contract design
- Sync versus async integration tradeoffs
- Event-driven and orchestration patterns
- Retry, idempotency, and observability design
Pillar 03
Cloud modernization and platform architecture
Cloud programs succeed when platform direction, migration sequence, and operating assumptions are made explicit early. This pillar covers architecture decisions across Azure, GCP, private cloud, APIs, microservices, and modernization operating models.
- Platform and landing-zone direction
- Migration sequencing and dependency control
- Microservices, serverless, and service boundaries
- Cloud resilience and operational readiness
- CI/CD and observability foundations
Pillar 04
AI, automation, and production readiness
AI-enabled delivery models need architecture discipline beyond model selection. The advisory focus is on making automation and AI capabilities production-credible through supportable design, governance, and operational control.
- Retrieval, evaluation, and workflow boundaries
- Latency, cost, and production operating tradeoffs
- Governance, security, and control design
- Automation patterns for enterprise delivery
- Support model and production-readiness review
Pillar 05
Architecture review and delivery-risk reduction
Many programs do not need a rewrite plan. They need a senior review of the decisions already underway so hidden coupling, sequencing gaps, and delivery-risk assumptions are surfaced before they get more expensive.
- Focused architecture review sprints
- Dependency and delivery-risk mapping
- Target-state and boundary validation
- Decision support for leaders under time pressure
- Practical recommendations, not abstract critique
Where I help
A useful fit when the architecture question affects operating risk, sequencing, or delivery confidence.
Deposits, onboarding, fraud, payment, hold, and core modernization decisions where architecture quality affects both delivery pace and risk posture.
CRM integration, platform orchestration, ESB modernization, API strategy, and event-driven delivery across multiple teams and systems.
Platform direction, modernization sequence, multi-cloud decisions, observability, and operating-model clarity across Azure, GCP, and private cloud.
Programs that need practical readiness checks on governance, retrieval design, operating ownership, and production support before scaling claims get ahead of architecture reality.
Independent review for teams that need a clearer read on boundary choices, dependency pressure, and delivery risk before a program drifts further off course.
Representative experience
Representative environments and problem spaces.
Digital banking, retail banking platform, onboarding, deposits, payments, CRM, fraud/AML, and enterprise integration.
Current advisory and architecture work in core banking, fraud, deposit/hold architecture, and modernization advisory, described at a generic level to avoid confidential detail.
Cloud-native wallet and payment architecture, Azure confidential-compute architecture, and AML enablement.
Business banking platform delivery across GCP, APIs, payments, fraud/AML, and onboarding.
Insurance modernization, ESB, direct settlement, CI/CD, private cloud, and microservices.
SAP/Hybris integration, Azure integration, and serverless or event-based architecture.
eHealth, Cancer Care Ontario, and prepaid Visa integration-hub work in healthcare, integration, and payments-related delivery environments.
Engagement modes
Ways I typically support delivery and architecture decisions.
A focused review of target-state architecture, boundaries, integration shape, and failure-path risk before more delivery effort compounds the wrong assumptions.
Senior architecture guidance for teams that need technical direction, stakeholder alignment, and clearer execution framing without adding a permanent executive hire.
Concise architecture advice for leaders making difficult calls on modernization, integration strategy, platform direction, or AI investment.
Practical sequencing across core systems, APIs, integration layers, cloud platforms, and the operating-model work required to support change.
A targeted assessment for programs already under pressure to surface architecture, dependency, platform, and execution risks early enough to act on them.
Final CTA