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Future Vision of the Platform
Inspiration
Organizations define requirements, policies, standards, and business objectives. Architects create designs, operations teams monitor systems, and compliance teams perform audits. Yet there is a fundamental question that is rarely answered continuously:
Can we prove that operational reality still satisfies organizational intent?
Existing platforms provide pieces of the puzzle. Monitoring tools tell us what is happening. Governance tools track approvals. Compliance tools perform audits. AI systems can reason about requirements. However, there is no continuous feedback loop that connects intent, governance, runtime evidence, and assurance.
This challenge inspired us to build IntentSync — a platform that continuously validates whether reality still supports what the organization intended.
What it does
IntentSync transforms business intent into governed, evidence-backed assurance decisions.
The platform:
Accepts business requirements and objectives. Uses Gemini to discover assurance claims. Routes claims through governance approval workflows. Validates whether assurance capabilities actually exist. Collects runtime evidence through Partner MCP integrations. Evaluates assurance status continuously. Explains what is verified, what is missing, and what actions should be taken.
Rather than simply monitoring systems, IntentSync continuously assures that reality still satisfies intent.
How we built it
IntentSync was built as a multi-agent continuous assurance platform that combines AI reasoning, governance workflows, runtime evidence, and assurance evaluation.
Technology Stack Google Gemini for requirement analysis, claim discovery, coverage assessment, and assurance reasoning. MongoDB Atlas as the operational knowledge base for requirements, claims, governance records, capability mappings, and assurance data. Dynatrace Partner MCP for collecting runtime evidence directly from operational reality. Google Cloud Run for scalable cloud-native deployment of the IntentSync services and MCP endpoints. Streamlit for the assurance dashboard and demonstration interface. Agent Architecture
IntentSync uses specialized agents that collaborate to transform business intent into assurance outcomes:
Claim Discovery Agent – analyzes requirements and discovers candidate assurance claims. Governance Agent – routes claims through approval workflows and promotes governed knowledge. Capability Validation Agent – determines whether a claim can actually be assured using available evidence sources. Evidence Collection Agent – retrieves runtime evidence through Dynatrace Partner MCP tools. Assurance Agent – evaluates evidence against approved claims and calculates assurance outcomes. Explanation Agent – generates traceable explanations describing why a requirement is assured, partially assured, or unsupported. Continuous Assurance Workflow
Business Requirement
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Gemini Claim Discovery
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Governance Review & Approval
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Capability Validation
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Dynatrace MCP Evidence Collection
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Claim Assurance
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Requirement Assurance
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Explanation & Recommendation
Runtime Demonstration
For the hackathon demonstration, we used the EasyTravel application monitored by Dynatrace and evaluated the requirement:
"The customer booking service must remain observable and healthy during runtime."
IntentSync automatically:
Discovered assurance claims from the requirement. Identified executable claims and governance coverage gaps. Collected real runtime evidence through Dynatrace Partner MCP. Evaluated assurance status using observed evidence. Generated explainable assurance outcomes showing: Verified claims Insufficient evidence Coverage gaps Recommended next actions Deployment Architecture
The platform was deployed on Google Cloud Run using a cloud-native architecture consisting of:
IntentSync Dashboard IntentSync API Services IntentSync MCP Services MongoDB Atlas Knowledge Base Dynatrace Partner MCP Integration
This architecture provides a foundation for future integrations with ServiceNow, GitLab, Identity Providers, Security Platforms, and AI Governance ecosystems.
Challenges we ran into
One of the biggest challenges was moving beyond traditional monitoring and into assurance.
Monitoring answers:
"What is happening?"
Assurance must answer:
"Can we prove reality still satisfies intent?"
This required introducing governance workflows, capability validation, evidence traceability, and assurance logic instead of simply displaying telemetry.
Another challenge was integrating runtime evidence from the Dynatrace Partner MCP ecosystem and translating that evidence into assurance decisions that could be understood by both technical and business stakeholders.
We also discovered that governance alone is not enough. A claim may be approved, but if no executable evidence collection capability exists, the claim cannot truly be assured. This insight led us to introduce capability validation as a core part of the platform.
Accomplishments that we're proud of
One of our proudest achievements was designing and implementing an agent-driven assurance architecture.
IntentSync uses specialized agents that collaborate to transform business intent into assurance outcomes:
Gemini Claim Discovery Agent — analyzes requirements and discovers candidate assurance claims. Governance Agent — routes claims through approval workflows and promotes governed knowledge. Capability Validation Agent — determines whether a claim can actually be executed using available evidence sources. Evidence Collection Agent — retrieves runtime evidence through Dynatrace Partner MCP integrations. Assurance Agent — evaluates evidence against approved claims and calculates assurance outcomes. Explanation Agent — generates human-readable explanations describing why a requirement is assured, partially assured, or unsupported.
This agent-based architecture allowed us to separate reasoning, governance, evidence collection, and assurance evaluation into independent, reusable capabilities.
The result is a scalable foundation for future multi-agent operational assurance systems.
What we learned
The most important lesson was that there is a significant gap between organizational intent and operational reality.
Requirements, policies, and approvals are often treated as static artifacts, while systems change continuously.
We learned that continuous assurance requires four things working together:
AI reasoning Governance Runtime evidence Explainable decisions
We also learned the power of Partner MCP integrations as a bridge between AI reasoning and operational truth.
What's next for IntentSync: Closing the Intent-Reality Gap
Today IntentSync integrates with Dynatrace Partner MCP to assure operational requirements.
Our vision is to evolve IntentSync into an Operational Truth Platform that continuously validates business objectives, policies, architectures, AI systems, and operational environments across multiple sources of truth.
Future integrations include:
ServiceNow MCP Firetran MCP Arize MCP GitLab MCP Identity and Access Management MCPs Security and Compliance MCPs AI Observability Platforms
We believe the future of enterprise systems is not simply monitoring reality, but continuously proving that reality still supports organizational intent.
IntentSync is our first step toward that future.
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