01 Problem patterns
Problem-led experience across systems, integrations and workflows.
Most of this work is confidential. What follows is a set of anonymised problem types and the patterns I use to address them. No client names, internal systems or sensitive detail appear here, and none of it is presented as a measured case-study outcome.
Enterprise data sync and integration workflows
Account, party, document and operational data moving between systems that need clearer synchronisation, error visibility and ownership.
- Data flow analysis
- API and sync design
- Error pattern review
- Operational visibility
Secure document handling and retention-aware design
Backend design for document handling, metadata, structure, audit trails, retention expectations and enterprise access patterns. Careful design, not a claim of certified immutability.
- Metadata modelling
- Access patterns
- Audit trail design
- Retention-aware lifecycle
Multi-channel communication product concepts
Product direction for ingesting communication from several channels, normalising it, and supporting preview, export, access control and organisation-level onboarding.
- Multi-tenant design
- Connector architecture
- Normalised data model
- Workflow support
Account opening and maintenance systems
System design for account workflows, custodian connectivity, maintenance operations, data exchange and financial platform integration patterns.
- Workflow mapping
- Custodian and API analysis
- Operational process design
- Platform integration
API-led platform modernisation support
Work with enterprise platform patterns, bulk data approaches, API-led alternatives, backend services and the reliability concerns that come with them.
- Platform APIs
- Bulk data handling
- Backend services
- Integration reliability
Internal tools and operational automation
Scripts, extract and load helpers, file processing jobs, export utilities and workflow tools that cut manual effort and improve accuracy.
- Extract and load support
- File automation
- Workflow utilities
- Operational cleanup
02 Method
Evidence without over-claiming.
Every one of these starts the same way: understand the context, name the real constraint, then design for the failure cases as carefully as the happy path.
- Context
- Who depends on this, what already exists, and what the team can realistically operate.
- Challenge
- The specific constraint that makes the obvious solution wrong.
- Architecture
- A design sized to the problem, with the boundaries and contracts written down.
- Trade-offs
- What the chosen approach gives up, stated rather than discovered later.
- Execution
- Implementation, integration and the unglamorous work of getting it into use.
- Lessons
- What I would do differently, which is usually about sequencing rather than technology.
03 Contact
Working on a complex technology problem?
I take on selected consulting work where system clarity and execution quality matter.