Proxet prepares Lighty AI for Claude with a one-month governance and AI-readiness assessment ahead of a full Claude rollout

Product Engineering

Challenge

Lighty AI wanted to expand its tech stack to include Claude but needed a clear picture of its AI governance posture before doing so
Needed to map risk and prioritize use cases — including AI coding activity already happening informally — under a tight timeline
Data quality and accessibility across existing systems hadn't been assessed for AI readiness
No consolidated review of third-party AI usage, enterprise vs. individual Gen AI usage, or existing policy frameworks

Ran a 1-month governance and AI-readiness engagement covering risk mapping, use-case prioritization, data quality/accessibility review, and policy framework assessment
Performed an initial audit spanning governance, third-party AI, and enterprise/individual Gen AI usage, surfacing early-stage proposals for AI applications and use cases
Built on Proxet's prior product engineering work with Lighty AI's executive assistant — including reliable AI behavior, multi-platform compatibility, and product guardrails — to inform a data security and hygiene gap review
Flagged compliance and PII risk areas against Lighty AI's existing policies
Synthesized findings into a prioritized remediation roadmap and ran Claude literacy sessions across the broader team

Previous Claude adoption in product engineering was at 15%; increased Claude Cowork & Claude Code literacy to 100%.
Delivered a prioritized remediation roadmap that leadership could act on directly
Lighty AI has since rolled out Claude, with Proxet remaining on call for tactical support