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.

How to read this page. These are recurring problem types, not guaranteed outcomes or published metrics. If a deeper anonymised walkthrough would help a conversation, we can go through one privately.
Integration architecture

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
Document systems

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
Product systems

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
Fintech workflows

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
Modernisation

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
Automation

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.