AI Solutions Owner & Program Leader
Jason Agentic
Senior project, business analysis, and SAFe delivery leader with 15+ years guiding enterprise technology programs. Now focused on AI agents, intelligent automation, and organization-wide agentic workflows that cut manual work, improve decision support, and create measurable operating efficiency.
Positioning
Jason designs and implements AI-agent workflows that reduce manual drag from business processes, improve delivery flow, and turn scattered operational knowledge into repeatable systems. His public GitHub work reflects hands-on delivery across browser-based LLM orchestration, agent migration runbooks, VPS hardening, and reusable prompt infrastructure. Combined with his background in project delivery, business analysis, Agile/SAFe, cloud, and analytics, that experience helps organizations move from AI experimentation to adopted workflows with governance, training, and measurable efficiency gains.
Strong fit for AI analyst, AI solutions architect, technical program, RTE, business architecture, and transformation roles where teams need someone who can bridge strategy, stakeholders, and implementation.
Helps organizations identify automation opportunities, design agentic workflows, define governance, train teams, and integrate AI into existing delivery, analytics, and cloud practices.
Available for practical AI workflow builds, prompt systems, agent prototypes, process mapping, automation plans, requirements packages, dashboards, and executive-ready AI adoption materials.
Services
Map current-state processes, identify automation leverage points, and design human-in-the-loop agent workflows for repeatable business outcomes.
Train cross-functional teams to adopt AI tools, prompt systems, and workflow patterns with confidence while staying aligned to delivery and compliance expectations.
Translate business needs into scalable AI-enabled solutions across cloud, data, analytics, requirements, and delivery management practices.
Improve Agile/SAFe execution, backlog governance, PI Planning, stakeholder alignment, and technical roadmaps for complex enterprise programs.
Build analytics narratives, dashboards, requirements models, and source-to-target documentation that help leaders act on trusted information.
Bring AI and automation into environments shaped by standards such as HIPAA, Section 508, FISMA, procurement, and public-sector delivery constraints.
Proof Points
Jason has led government technology programs, Azure cloud solution portfolios, healthcare data initiatives, Salesforce and S/4HANA requirements work, and analytics projects for large stakeholder groups. His AI focus builds on that foundation: agents, automation, and workflows that fit the way organizations actually operate.
Delivered technology programs for public-sector organizations where stakeholder alignment, procurement realities, accessibility, security, and measurable service improvements all matter.
Led cloud, data, analytics, and platform work across Azure-oriented delivery, Microsoft Fabric data initiatives, enterprise requirements, and modernization efforts for complex organizations.
Built the practical foundation for AI workflow implementation through requirements governance, current-state and future-state modeling, reporting automation, source-to- target mapping, and stakeholder training.
Facilitated large-scale planning, managed delivery flow, coached teams, and translated executive goals into backlogs, roadmaps, operational metrics, and implementation-ready work.
Credentials
A credential stack spanning AI agents, project delivery, business analysis, Agile, cloud architecture, data engineering, Salesforce, analytics, and economics.
Toolkit
Connect
For roles, corporate AI initiatives, or focused freelance engagements, start with LinkedIn or review his public GitHub profile.
