Selected Work
Internal builds and platform concepts that demonstrate how Opsbridge AI approaches real operational problems. Each project is labeled honestly — no implied client work.
Sorvo AI
Operators and founders manage too many moving parts across fragmented tools, losing context and missing critical follow-ups.
A proactive cognitive AI system that retains working context across sessions, surfaces risks and decisions, and organizes fragmented information into actionable views.
The flagship product and clearest expression of the company's long-term AI point of view — in active development.
SAP Manufacturing Data Hub
SAP data disconnected from plant-floor reality — executives making decisions on numbers they do not fully trust.
A full-stack analytics blueprint using DuckDB and dbt to transform SAP-style extracts into reconciled, certified KPI marts with trust engineering built in.
Proof that Opsbridge AI understands how to engineer trust into manufacturing reporting so leaders can act on the numbers.
Plant Workflow Automation Suite
Plants running key workflows through email, paper forms, and disconnected spreadsheets — causing delayed response and weak accountability.
A four-layer architecture across Power Apps, SharePoint, Power Automate, and Power BI with SLA enforcement, CAPA handling, and escalation logic.
A workflow system shaped by real operational patterns — triage, escalation, accountability, and review cadence.
AI Agent Platform Monitoring
AI teams lose visibility into multi-agent system spend, routing logic, and failure patterns as complexity grows.
An observability concept built on star-schema modeling with DAX KPIs, routing analysis, budget tracking, and reliability views — all from a single dashboard.
A blueprint for how Opsbridge AI brings operational discipline to AI systems — observable, cost-aware, and decision-oriented.
Want to discuss a project like these?
These builds reflect how Opsbridge AI approaches real operational problems. If you have a similar challenge, start with a conversation.