Government entities and education
AI decision-support solution
An AI decision-support solution combining a portal, BI dashboards, and a chatbot.
My role: Technology evaluation, technical direction, and development team leadership.
AI project experience
AI Project Experience: From Use Case to Production
My approach to turning AI ideas into governed, working solutions: framing the right use case, choosing technology objectively, running a controlled pilot, and taking it into production with the right human review controls.
How I deliver AI projects
- 1
Frame the use case
Translate a business priority into a specific, measurable AI use case, with a clear view of the data, the risks, and what success looks like.
- 2
Build the roadmap and business case
Size the opportunity, sequence the work, and give leadership a business case they can decide on.
- 3
Choose technology objectively
Evaluate models, vendors, and architectures on fit, security, data residency, and cost, with no preference for any single provider.
- 4
Pilot with governance
Run a controlled pilot with privacy and security controls, human review, and agreed success criteria before anything scales.
- 5
Deliver to production
Lead the engineering team through delivery, integration with existing systems, and rollout.
- 6
Drive adoption
Enable the people who will use the solution and measure adoption outcomes after launch.
What I work with
- Generative AI and large language model applications
- RAG and GraphRAG knowledge assistants
- AI agents and workflow automation with human review
- eKYC: OCR, identity verification, and liveness detection
- AI decision support with BI dashboards and chatbots
- Privacy, security, and data-residency design for regulated environments
Track record
- Took AI-enabled products from pilot to production across insurance, education, and public-sector environments.
- Turned an internal AI initiative into a commercial product, from concept and pilot through production delivery and direct product sales.
- Currently lead AI initiatives and R&D alongside a 15-person engineering organization in a regulated banking environment.
Selected AI work
Banking
Full eKYC online onboarding using AI
AI-enabled customer onboarding across web and mobile channels: OCR-based identity document extraction, identity verification, liveness detection, and guided onboarding, designed with security, privacy, compliance, user experience, and human escalation in mind.
My role: AI use-case framing, solution concept, and secure onboarding considerations.
Banking
AI assistant for online banking
An AI assistant concept for web and mobile banking channels to support customer inquiries, onboarding assistance, product guidance, and operational escalation, with security, privacy, and compliance built into the design.
My role: AI use-case framing, banking solution concept, and technical risk awareness.
Customer care operations
Customer care auto-classification and routing with GraphRAG
A GraphRAG-based concept that classifies customer inquiries, understands intent and context, and routes each case to the right department or support queue, supported by structured business knowledge, routing rules, and human review.
My role: AI use-case framing, GraphRAG solution concept, taxonomy definition, routing logic planning, and governance considerations.
Banking compliance
AML background-check automation with AI agents
Framed the automation of AML background checks and related screening workflows with AI agents, standardizing the checks while retaining governed human review.
My role: AI use-case framing and governance.
Looking for AI advisory or training instead?
For an objective view of where AI fits, see AI advisory. For hands-on AI fundamentals for a team, see AI training.