SICKR.ai

SICKR.ai is an enterprise governance platform that manages work across humans, AI agents, and systems through governed workflows, approvals, policies, audit trails, cost visibility, and operational control. Unlike agent builders or monitoring tools, SICKR acts as the control plane around AI-driven work — defining workflow states, assigning ownership, routing approvals, enforcing policies, and capturing a full audit-ready history of every task from intent to outcome. Founded by Arif Manasiya, a 20+ year enterprise systems operator from Bloomberg and Amazon, SICKR is built on the belief that when AI participates in high-stakes business workflows, intelligence alone is not enough — enterprises need ownership, governance, visibility, auditability, and accountability built into how work gets done.

AI agents are moving from chat to action, but enterprise governance has not caught up. Once agents participate in real business workflows, enterprises lack answers to critical questions: who owns the task, who approved the plan, which policy applied, what tools and data were used, and how can the full execution path be audited.

SICKR provides a governance layer — not an agent builder — that wraps around any agent platform (OpenAI, Claude, AWS Bedrock, LangChain, CrewAI, etc.) to enforce a structured and custom workflow Plan → Review Plan → Implement → Review Implementation → Human Review → Merge → Deploy → Validate lifecycle, making every AI-driven task consistently traceable, policy-compliant, and human-accountable.

SICKR is currently seeking early design partners from teams deploying or evaluating AI agents in real workflows. The onboarding path starts with mapping one real workflow with no large implementation or commercial commitment required upfront.