
Agentic AI
Repetitive processes drain capacity that belongs on higher-value work. A structured discovery maps your operations, scores each process by business impact, and produces a phased plan your team can act on immediately.
AI crafted Autonomous agents for business processes & workforce AI with Microsoft 365 & Claude

Repetitive processes drain capacity that belongs on higher-value work. A structured discovery maps your operations, scores each process by business impact, and produces a phased plan your team can act on immediately.

Engineering teams ship more when agents handle the repetitive layer. GitHub Copilot and Claude Code are configured for your specific stack, wired to your conventions, and active on your codebase within days.

Claude Cowork is an agent workspace that handles research, drafting, and cross-application work on its own. Skills, MCP connectors, and agent teams scale it from one personal setup to specialists that coordinate without supervision.
Microsoft Certified since 1997

Most organizations pilot AI and then stall before it reaches production. The engagement starts by identifying the processes worth automating. Each candidate is scored by ROI, risk, and integration complexity. The output is a phased plan with quick wins sequenced first.
From stakeholder workshops through to live agents handling real tasks, the engagement runs until your teams can extend and maintain the implementation independently. You end with a working system and the internal skills to keep it running.

The difference between a good AI proof-of-concept and a production system that stays reliable is architectural discipline. Agent systems are designed to fit your existing infrastructure, choosing between Claude Cowork, Microsoft Foundry, Microsoft Agent Framework, and Claude managed agents based on the actual complexity of each use case.
Every solution is built on a documented architecture, automated evaluations, and reproducible environments. Your team can maintain, extend, and debug the system without needing to call anyone back in to explain how it was built.

Technical training that stops at theory leaves teams unable to build on their own. Hands-on sessions built on 30 years of production engineering experience cover two tracks: Agentic AI with Microsoft Foundry, and Agentic Software Engineering.
Your teams leave with the skills to build, evaluate, and extend AI agents independently. Not just consume the ones already shipped. Role-specific programs cover both business users and engineers, so the whole organization moves forward together rather than waiting on a central IT team.

Hugo sites load in under 50ms, deploy on every commit, and give AI agents a clean markdown codebase they can read and act on natively. We handle migration, architecture, backend plugins, and CI/CD from day one.
Content agents research topics, draft articles, and publish campaigns across your site and social channels. Engagement data feeds back into the next cycle. Your marketing team sets direction; agents handle the execution volume.