Glasslake
Glasslake is an agentic AI platform that centralizes SAP transformation project knowledge and automates work across the entire lifecycle, from fit-gap analysis through testing and deployment. The platform captures proposals, blueprints, and workshop notes automatically, while AI agents generate documentation, convert requirements into test scenarios, and run tests across SAP workflows. It keeps Jira, SAP Cloud ALM, and Azure DevOps in sync, with governance controls ensuring human approval before any action touches live systems.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
SAP transformation projects are among the most complex and expensive IT initiatives enterprises undertake, yet the knowledge required to execute them—business context, technical dependencies, and critical decisions—is rarely captured in a structured way. This knowledge lives in people's heads, gets lost when projects end, and must be rebuilt from scratch each time, leading to rework, delayed go-lives, and uncontrolled risk.
Solution
Glasslake is an agentic AI platform that centralizes SAP project context and automates work across the entire transformation lifecycle. The platform captures proposals, blueprints, specs, and workshop notes automatically, versioning them in one connected view alongside requirements, tasks, risks, decisions, and ownership. AI agents operate within governed environments to generate standardized documentation, turn requirements into test scenarios with scripts and test data, and run tests across SAP workflows while investigating defects. The system keeps Jira, SAP Cloud ALM, and Azure DevOps in sync, flags risks before they reach the critical path, and maintains a complete audit trail so every agent action stays within a Center of Excellence's standards.
Target Audience
Primary customers are SAP transformation teams, including Centers of Excellence, system integrators, and enterprise IT organizations running complex SAP programs who need to reduce rework and increase delivery capacity.
Features
- AI agents orchestrate work across fit-gap analysis, requirement gathering, testing, and deployment phases, keeping deliverables and handoffs moving
- Automatic capture and versioning of proposals, blueprints, specs, and workshop notes into a searchable project knowledge base
- End-to-end test automation that converts requirements into test scenarios, scripts, and test data, with results and evidence linked back to each requirement
- Real-time risk tracking across scope, decisions, and change, flagging gaps early before they escalate
- Bidirectional synchronization with Jira, SAP Cloud ALM, and Azure DevOps to eliminate duplicate manual work
- Governance controls where AI proposes actions but human teams approve anything touching live systems, with every step recorded for audit
- Compounding intelligence that accumulates project knowledge in real time, making each subsequent project faster and more predictable