Today we're announcing the formal launch of the Cynaxus Applied AI practice — a dedicated capability for regulated industries that need to deploy AI safely, legally, and effectively without becoming dependent on any single vendor's roadmap.
The practice was built around a simple observation: most AI consulting offerings either come from product companies pushing their own platform, or from generalist consultancies that have stitched together AI talking points without operational depth. Neither serves an AmLaw firm trying to evaluate private LLMs against attorney-client privilege constraints, or a community bank weighing the regulatory implications of automated underwriting models.
What the practice covers
The practice spans the full lifecycle: governance program design, use-case identification and prioritization, vendor and model evaluation, pilot design and execution, production deployment, and the ongoing operational discipline that keeps deployed AI systems compliant, monitored, and aligned to the original business case.
Engagements are led by senior practitioners who have been responsible for AI deployments inside large regulated organizations — not by content marketers translating vendor pitches. The output is decision-relevant analysis, defensible documentation, and operational runbooks your team can actually maintain after we leave.
Why now
The window for organizations to take a thoughtful position on AI is narrowing. Boards, regulators, and clients are asking harder questions every quarter. Meanwhile the cost of a bad AI deployment — privacy breach, biased decisioning, vendor lock-in, regulatory finding — keeps rising. Organizations need a partner who has skin in the game on the answer, not a quota on the platform.
If your organization is evaluating where AI fits, how to govern it, or how to deploy a specific use case responsibly, we'd welcome the conversation.