I built CloudNSite, a consulting firm that deploys AI agents to automate repetitive business workflows across healthcare, legal, real estate, and a few other verticals.
The problem I kept running into with clients was that most AI tooling assumes you have an engineering team. Small businesses don't. They have manual processes held together with spreadsheets and email.
We built a library of 30+ pre-built agents and multi-agent bundles tuned to specific industry workflows. Clients pick what fits, we customize and deploy. For healthcare and legal clients with strict data requirements, we handle private LLM deployments on their own infrastructure with HIPAA-ready architecture.
We also built a free AI Readiness Assessment that generates personalized use cases and rough ROI estimates without a sales call.
Would love feedback from anyone who has worked in this space or has thoughts on the agent library approach.
I built CloudNSite, a consulting firm that deploys AI agents to automate repetitive business workflows across healthcare, legal, real estate, and a few other verticals.
The problem I kept running into with clients was that most AI tooling assumes you have an engineering team. Small businesses don't. They have manual processes held together with spreadsheets and email.
We built a library of 30+ pre-built agents and multi-agent bundles tuned to specific industry workflows. Clients pick what fits, we customize and deploy. For healthcare and legal clients with strict data requirements, we handle private LLM deployments on their own infrastructure with HIPAA-ready architecture.
We also built a free AI Readiness Assessment that generates personalized use cases and rough ROI estimates without a sales call.
Would love feedback from anyone who has worked in this space or has thoughts on the agent library approach.