Automated financial reporting pipeline eliminating hours of manual spreadsheet work per month, combined with a comprehensive technology cost review delivering a prioritised infrastructure roadmap — communicated in business terms, not technical ones.
Monthly financial reporting required a team member to manually pull data from accounting software, CRM, and payment processor, reconcile it in spreadsheets, and format the output — several hours of fragile work per cycle. Separately, technology running costs had grown unchecked since initial setup with no systematic review of utilisation or value.
Spring Boot pipeline connecting to each data source via REST APIs and direct SQL queries, applying the reconciliation and aggregation logic previously done by hand, scheduled to run automatically at period end. For the cost review: a systematic audit of all cloud services, SaaS subscriptions, and hosting mapped against actual utilisation, with a plain-language prioritised roadmap — estimated savings per action, implementation complexity, no jargon.
Monthly reporting cycle reduced from a half-day manual task to zero manual effort. The infrastructure roadmap identified savings that fully covered the engagement cost within the first quarter of implementation.
"We brought Samuel in to automate our financial reporting and take a hard look at our technology costs. He delivered clean, reliable automation that removed hours of manual work each month, and his review of our stack gave us a clear, prioritised roadmap for reducing our infrastructure spend. He communicated everything in plain terms that made sense to us as business owners, not just technologists."
Kockoorocks — Freelance — Financial Reporting & Tech ConsultancyKockoorocks engaged Trinity Logic for two related but distinct problems: their financial reporting process was slow and fragile, and their technology running costs had grown in ways that nobody had properly scrutinised since initial setup.
Both problems had the same underlying cause — systems and processes built under time pressure that had never been revisited. The engagement was focused on fixing both in a way that the business could maintain independently.
The existing process involved a team member manually pulling data from multiple sources — accounting software, CRM, payment processor — reconciling it in spreadsheets, and producing a formatted report. The process took several hours a month, was error-prone, and meant reports were always slightly stale by the time they were read.
The solution was a Spring Boot pipeline that connected to each data source via REST APIs or direct SQL queries, applied the reconciliation and aggregation logic the team had been doing manually, and produced the report in the required format — scheduled to run automatically at the end of each reporting period and delivered directly to the relevant stakeholders.
The outcome: the monthly reporting cycle went from a half-day task to zero manual effort.
A systematic audit of the technology stack — cloud services, SaaS subscriptions, hosting, tooling — mapped against actual utilisation. Several services were found to be significantly over-provisioned relative to actual load; others had been superseded by newer services that were both cheaper and more capable.
The deliverable was a plain-language roadmap with prioritised actions, estimated monthly savings for each, and implementation complexity. No jargon, no technical preference — just a clear set of decisions the business could make with confidence.
Reporting automation removed several hours of manual work each month. The infrastructure roadmap identified savings that fully covered the cost of the engagement within the first quarter of implementation.