Guidewise helps enterprises move AI pilots to production by aligning people, processes, and autonomous agents through its Skytop™ platform, which operationalizes the proprietary Changeworks™ change‑management framework.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise AI pilots often stall because organizations focus on technology without aligning people, processes, and autonomous agents, leading to governance gaps, low adoption, and failure to deliver business value.
Solution
Guidewise addresses this by providing an integrated platform, Skytop™, that operationalizes its proprietary Changeworks™ framework. The platform delivers real‑time visibility into human behavior, workflow performance, and AI agent activity, enabling continuous alignment and governance. It combines data‑readiness, secure AI/ML infrastructure, and change‑management coaching to move projects from pilot to production within months. Leaders can define strategic roadmaps, orchestrate agent‑ready workflows, and monitor adoption signals to detect friction early. Built to be platform‑agnostic, Skytop integrates with existing enterprise systems and supports regulated industries through role‑based access, audit logging, and compliance guardrails. The result is a controlled, scalable operating model for human‑agent collaboration that drives measurable ROI.
Target Audience
Primary customers are enterprise leaders, transformation offices, and IT/AI teams responsible for scaling AI and autonomous agents across mid‑size to large organizations, especially in regulated sectors such as finance, healthcare, and life sciences.
Features
- Real‑time collaboration intelligence that captures human, workflow, and AI agent performance across the enterprise
- Strategic alignment tools that translate business outcomes into actionable agentic roadmaps
- Workflow orchestration engine that synchronizes people, processes, and autonomous agents for stable execution
- Governance module with role‑based access, audit trails, and NIST/ISO‑aligned risk frameworks for autonomous systems
- Readiness and adoption analytics that surface skill gaps, resistance points, and performance friction before they impact outcomes
- Integrated coaching and capability‑building pathways to upskill teams and redesign roles for sustained AI adoption
- Platform‑agnostic connectors for major cloud and on‑premise AI stacks (IBM, AWS, Azure, NVIDIA, open‑source)