Agentic deployment is our first pillar — and the demo is the easy part

Riscent is an AI consulting agency with three pillars: agentic deployment, small-language-model fine-tuning and shipping, and AI memory research. This is the first. An "agent" is a model given tools and turned loose to act — call an API, book an appointment, run a command, hand work to another agent. In a demo it looks like magic. In production it is a systems problem, and most teams discover that too late. The public numbers are blunt about it. An MIT NANDA study of enterprise generative-AI in 2025 found that roughly 95% of pilots delivered no measurable impact. That is not a statement about model quality. It is a statement about deployment: teams tested the happy path and shipped into a world that does not run on happy paths. Deploying an agent that keeps working when real users arrive is a discipline, not a prompt.

This is one piece of a larger framework we built and operate in production. The full picture — and how it applies to your business — is in the playbook.

We specialize in healthcare because it is the hardest vertical — strict HIPAA regulation, PHI handling, BAA chains, and zero tolerance for failure. If we can build it for healthcare, we can build it for any industry. We work across verticals.