
Deploy AI agents you own and control. We analyze your workflows, build knowledge bases, and deploy purpose-built agents on your infrastructure.
New York is the largest city in the United States and a global hub for finance, media, healthcare, and higher education. Organizations across Manhattan, Brooklyn, and the broader metro area face mounting pressure to automate workflows, reduce operational costs, and deploy AI agents that they own and control.
New York organizations manage some of the most complex operational environments in the country. From CUNY's 25-campus system serving 240,000 students to Mount Sinai's multi-hospital network, the scale demands AI agents built for institutional complexity. Generic chatbot vendors cannot handle the workflow depth that New York institutions require.
With ibl.ai, New York organizations deploy AI agents on their own infrastructure—compliant with state and federal regulations, integrated with existing campus and enterprise systems, and fully owned by the institution. No vendor lock-in. No data leaving your perimeter.
New York State's AI governance framework and NYC's Local Law 144 on automated employment decisions make institutional ownership of AI systems a compliance necessity, not just a preference.
Workflow analysis documentation with automation opportunity map
Knowledge base architecture with read/write separation and ingestion pipelines
Agent role definitions with skills, boundaries, and escalation protocols
Deployed agents on your infrastructure with full source code
Integration adapters for your systems (LMS, SIS, CRM, HR, ERP)
Monitoring dashboards and agent performance evaluation frameworks
Operations runbooks and training for your team
ibl.ai serves organizations like these across the New York Metropolitan Area:
We embed with your teams to map how work actually flows—every handoff, approval step, data lookup, and decision point. This reveals automation opportunities that generic AI tools miss.
We work with your subject-matter experts to catalog and ingest institutional knowledge—policy documents, process guides, training materials, and domain expertise. Each source is tagged with provenance, freshness dates, and authority levels.
We design agent roles, implement skills, integrate your systems, and build evaluation frameworks. Each agent is designed like a new hire with a specific job description, defined responsibilities, and escalation protocols.
Phased rollout starting with staff-facing agents. Comprehensive knowledge transfer ensures your team owns ongoing operations and can build new agents independently.
Agents run on your servers, your cloud accounts, your network. No ibl.ai infrastructure in the critical path. When you scale, you scale your own systems.
Every agent definition, skill implementation, knowledge pipeline, and integration adapter is delivered as source code in your repositories.
Knowledge bases, conversation logs, analytics, and operational data stay entirely within your perimeter. Nothing is sent to third-party services.
We do not create dependency. Knowledge transfer is built into every engagement. Your team learns to build new agents and manage the system independently.
Whether you are a university, hospital, school district, or enterprise in New York—we start with a free workflow assessment to identify your highest-impact automation opportunities.
Free 30-minute session to discuss your workflows and identify high-impact automation opportunities.
Book a CallTransform one department's workflows with 2-3 agents to demonstrate value before broader investment.
Start a PilotFull-scale AI transformation across departments with comprehensive knowledge bases and agent teams.
Plan a TransformationYour workflows, your knowledge, your agents, your infrastructure.
AI transformation in New York, NY that puts your organization in full control—built with you, owned by you.
Contact Us About AI Transformation in New York