Case studies
Product systems built around real operational problems
Filter by domain to see how the same product pattern — risk framing, workflow design, AI decisioning, and business impact — applies across AdTech, energy, growth systems, and media.
Featured Projects
SignalOps AI
MCP governance control plane for AdOps agents, helping campaign operations teams manage delivery risk, VAST validation, approval workflows, governed tool access, and audit-ready decision trails.
Measurement focus
- Diagnosis speed
- High-risk approval coverage
- Audit completeness
- Governed tool adoption
Qcells HEMS, VPP & Smart Meter Gateway Platform
Product ownership for a regulated home energy management platform across PV, battery, EV charging, heat pumps, §14a controllability, dynamic tariffs, Smart Meter Gateway rollout, and VPP readiness.
Measurement focus
- Verified §14a controllability
- Commissioning success rate
- Device & compatibility coverage
- Local fallback reliability
Domain Projects
Energy / Regulation / AI Decisioning
Regulatory Impact Agent
Maps regulatory changes to affected product capabilities, roadmap actions, risk levels, owners, and business deadlines.
Business problem
Energy product teams need to translate regulation into concrete product decisions without losing accountability.
Product outcome
Converts regulatory documents into affected capabilities, owners, deadlines, risks, and recommended next actions.
Telecom / Home Connectivity
HomeNet Assurance MVP
Connects router, mesh, Wi-Fi, and device signals to root-cause diagnosis, remediation workflows, support guidance, and customer-impact visibility.
Business problem
Home connectivity teams struggle to connect technical network events with customer experience and support impact.
Product outcome
Turns router, mesh, and device signals into root-cause diagnosis, remediation recommendations, and verification.
OTT / SmartTV / Platform Product
StreamOS Control Plane
Helps platform teams manage playback quality, rollout risk, device fragmentation, release readiness, and rollback decisions.
Business problem
Streaming platform teams deal with fragmented devices, inconsistent playback quality, and risky app rollouts.
Product outcome
Helps product and platform teams decide when to release, pause, roll back, or investigate based on impact.
Read the case study behind any of these systems.
Every case study covers the problem, target users, product workflow, AI leverage, architecture, key decisions, and impact model.