Real results,
real savings.

The problem

An operations team was manually processing 80+ invoices per week: downloading attachments, extracting data, cross-referencing purchase orders, and entering into the accounting system. Each invoice took 12–15 minutes.

The system

Built an agentic workflow that monitors incoming invoices, extracts structured data using LLM-powered parsing, validates against existing POs, and pushes approved entries directly into the accounting platform. Exceptions are flagged for human review.

The result

The problem

A company had rolled out ChatGPT Enterprise seats but adoption was minimal. Teams used it for basic email drafting. Leadership couldn't see ROI on the AI investment.

The system

Delivered role-specific workshops covering: prompt engineering for actual workflows, building custom GPTs for repetitive tasks, AI-assisted data analysis, and creating internal knowledge bases. Each team got a custom playbook.

The result

The problem

The operations team knew they were "busy" but couldn't pinpoint where the time was actually going. Management suspected inefficiency but had no data to prioritise improvements.

The system

Conducted end-to-end process mapping across 4 departments. Identified 12 automatable workflows, ranked by ROI. Delivered a build-vs-buy recommendation for each, with cost projections and implementation timelines.

The result