A collection of AI applications, agents, copilots, and orchestration workflows designed to reduce repetitive work while keeping evidence, ownership, and human review visible.
Each case study separates what the system automates from the decisions and controls that remain human-owned.
An end-to-end AI web application combining a responsive interface, application APIs, persistent data, secure access, and LLM-powered features.
An AI agent that tracks Jira ticket assignments and status changes, then turns them into clearer cross-team release visibility in Slack.
A domain-aware QA copilot that turns multi-chain trading behaviour into structured, selector-aware, automation-ready test coverage.
A workflow connecting Jira, CRM, support, and stakeholder channels to classify and route technical work across organisational boundaries.
An approval-led release workflow where AI-supported recommendations and actions remain bounded by evidence, accountability, and human authority.
A meeting workflow that converts distributed-team discussions into structured summaries, decisions, follow-up tasks, and delivery actions.
An experimental OpenClaw-based control plane for CRM-connected business operators with bounded actions, approvals, and audit evidence.
A human-reviewed Paperclip workflow that turns job inputs into structured research, tailored application materials, tracker updates, and quality checks.