Company-wide rollout
Microsoft Copilot enablement — Lead
Designed and delivered the Copilot training program for mid-level managers. Expanding the rollout across the organization's behavioral therapy practice.
// Joseph Bisaccia · AI Engineering Leader
I build AI systems —
and the organizations
that trust them.
I lead enterprise AI adoption end to end: secure infrastructure, agentic workflows, and the training programs that turn skeptical teams into confident AI operators.
Focus
Enterprise AI Governance, Security, Infrastructure
Currently
Lead AI Engineer, Behavior Frontiers — leading company-wide AI enablement
Open to
Advisory engagements & speaking opportunities
Scroll
// 01—THE SYSTEMS
A short tour of the work.
Expertise
Production AI systems for regulated and enterprise environments.
- [00]Enterprise AI Governance
- [01]AI Security
- [02]Enterprise AI Infrastructure
- [03]HIPAA-Compliant AI Systems
- [04]Agentic Workflow Development
- [05]Retrieval-Augmented Generation (RAG)
- [06]Company-Wide AI Enablement
- [07]Technical Program Leadership
- [08]Change Management & Adoption
- [09]LLM Evaluation
// 02—ORGANIZATION
Building the systems — and bringing the organization along.
01
0
Managers trained in Copilot program
02
0+
Practitioners in expanding rollout
03
0
Custom department GPTs in deployment
Leadership & enablement — a snapshot
Department-level AI
Custom GPTs in deployment
Currently deploying five department-scoped GPTs — each tuned to the workflows, sources, and guardrails of the team it serves.
Executive & operations
Agentic workflows for the back office
Building agentic systems that assist executive-level reporting and scheduling, and streamline HR and billing operations.
Community
The Velocity Room
Active member of an AI engineering collective — recurring meetups, technical exchange, and shared work with practicing AI engineers.
// 03—PERSPECTIVE
“Enterprise AI success is an organizationalchallenge, not an engineering one.The model is the easy part.”
The hard part is governance, trust, and adoption — the slow work of building something a regulated organization can actually stand behind.
The leaders who win the next decade won’t just ship models. They’ll build secure systems and bring entire organizations along — training the skeptics, designing the guardrails, and turning AI from a pilot deck into infrastructure.
I work at exactly that intersection: hands-on engineering depth, paired with the organizational enablement that makes the engineering matter.
// 04—WORK
Selected engineering case studies.
~/projects/hipaa-clinical-copilot▍
Behavior Frontiers · Healthcare
HIPAA-compliant clinical agent platform
Gave clinical and operations teams a safe way to use LLMs over PHI — cutting documentation turnaround and setting the internal blueprint for regulated AI expansion.
LangGraphOpenAIpgvectorAWS
Read case study ~/projects/enterprise-rag-platform▍
Multi-tenant knowledge retrieval
Enterprise RAG platform
Unified grounded knowledge access across departments with per-tenant isolation and citation-first synthesis — measurable answer quality, zero observed cross-tenant leakage.
pgvectorOpenSearchBedrockTerraform
Read case study ~/projects/agentic-ops-copilots▍
Sales, RevOps & back-office
Agentic operations copilots
Redirected significant operational hours to higher-leverage work via tool-using agents with structured evaluation harnesses keeping behavior within policy.
LangChainTemporalOpenAIAnthropic
Read case study Open work
Architecture, implementation, and decisions in the open.
Production-ready AI projects, architecture decisions, and engineering documentation — published on GitHub.
github.com
jbisaccia-9
// 05—CONTACT