Audit · Automate · Accelerate
Two decades of IT leadership across operations, infrastructure, and — over the last two years — practical AI integration. Built around the simple idea that the right technology earns its keep, and the wrong technology is just expensive.
The capabilities below reflect work CLC has led from strategy through delivery — network rebuilds, cloud migrations, vendor negotiation, and AI rollout — without the layer of translation between strategy and execution that comes with larger firms.
Multi-site networks, server and endpoint management, helpdesk transformation, and the kind of infrastructure modernization that actually finishes.
Cloud migration strategy and execution. Desktop as a Service rollouts. Managed-service transitions that reduce equipment and labor overhead without losing service quality.
Practical evaluation of where AI fits inside existing workflows — and where it doesn't yet. Operational readiness, tool selection, governance, and adoption planning.
SOP capture, workflow analysis, and process automation. The documentation that makes operations resilient — and that makes AI implementation possible.
Contract analysis, software stack rationalization, and operational spend review. Renegotiating with vendors who count on customers not paying attention.
HIPAA, PHI, and regulated-industry experience. Risk management, audit readiness, and AI governance for organizations that can't afford to "move fast and break things."
CLC is a single-principal practice, deliberately. Mid-size organizations rarely need a layered consultancy — they need one senior person who can take a problem from diagnosis through execution without the markup, the handoffs, or the rotating cast of junior associates.
Engagements are scoped narrowly, run by the principal end-to-end, and structured so the institutional knowledge stays with the organization after the work is done.