Agentic Intelligence Integration
Organizations that adopt AI need governance frameworks. These frameworks must account for the people the AI affects. We deploy the EndogenAI methodology — an open-source approach your team can audit, own, and extend. There is no vendor lock-in. The model is simple: the methodology is free, the implementation support is paid. We help you build governance into daily work from the start.
AI systems without clear accountability make existing inequities worse. The EndogenAI methodology addresses this. It follows the Red Hat model: the governance framework is free and open source. Your team owns it — we help you put it to work. There is no vendor lock-in.
What's Included
- EndogenAI Workflows methodology deployment (open source, auditable)
- Governance frameworks built into daily operations from the start — not added on later
- Agent fleet design with clear value constraints and posture guidelines
- Bias and access impact reviews for AI systems
- Audit-ready documentation your team can extend and maintain
Access & Pricing
AI Integration engagements begin with a readiness assessment (typically 1–2 hours). Full engagements run in 4–8 week phases. Schedule a discovery call to discuss your AI stack, team structure, and goals.
Past Work
EndogenAI Workflows (dogma)
An open-source AI governance framework for agent-driven development workflows. It encodes your organizational values into auditable scripts and multi-agent patterns. Now available as a cookiecutter template for other organizations to adopt.
Agentic Governance Advisory
Advisory engagements for organizations adopting LLM-based workflows. We identify accountability gaps, data lineage risks, and user-impact concerns before deployment. You receive a governance readiness report with prioritized recommendations.