Start with the workflow
Understand the people, systems, decisions and exceptions before selecting the automation approach.
Computer scientist, former Microsoft engineer on the core Microsoft AI Copilot team, and founder of Shucon MedAI.
Engineering experience
Former engineer on Microsoft's core AI Copilot team
Saksham founded Shucon MedAI to help healthcare organizations move beyond isolated AI demonstrations and deploy intelligent systems inside the workflows that run care, revenue and operations.
Before founding Shucon MedAI, he worked at Microsoft as an engineer on the core Microsoft AI Copilot team. That experience informs Shucon's focus on agent architecture, connected context, operational controls and software that can work reliably in production.
Saksham's approach to Shucon's product and customer engagements is grounded in operational outcomes and clear controls.
Understand the people, systems, decisions and exceptions before selecting the automation approach.
Give agents the clinical, operational and financial context required to make useful decisions.
Build permissions, auditability, approvals and failure handling into the operating model.
Evaluate coverage, accuracy, turnaround time and business impact rather than demonstration quality.
Specialized agents that observe, decide, act and escalate across healthcare operations.
A shared clinical, financial and operational foundation beneath intelligent workflows.
Cross-department reconciliation and action systems that protect earned healthcare revenue.
Responsible incoming and outgoing AI communication across the patient journey.
Permissions, human approval, audit trails, exception handling and production monitoring.
Agent workflows designed around organization-specific SOPs and technology environments.
Discuss where AI agents and connected healthcare software can create measurable operational value.