Proactive alert channels
Push faults to Teams, email or webhooks with smart grouping, so the right person hears first, wherever they are.
Builds on The hotlist, offline detection and live WebSocket events that exist today.
The future
From monitored rooms to self-improving estates
Everything we've built is foundation. Live data from every room, an AI layer that can reason over it, and a pipeline that ships safely every day. Here's where that leads.
Vision Everything on this page is a direction, not a commitment. Share the vision with clients, but don't sell it as available.
Next
Builds directly on what exists today
Predictive maintenance
Learn each processor's normal behaviour from telemetry and flag trends — rising memory, recurring reboots, failing lamps — before they become outages.
Builds on 10-second system metrics with 7-day history, and fleet resource hotspots.
Later
AI-driven service at scale
Agentic triage → fix
An AI agent turns a recurring log problem into a GitHub issue with evidence attached, drafts the fix as a pull request, and a person reviews and releases it.
Builds on MCP log triage, GitHub-linked issues, and our AI-first pipeline with its approval gate.
Cross-estate benchmarking
Anonymised comparisons of room reliability, usage and satisfaction across clients — "your rooms vs similar estates".
Builds on Multi-tenant room usage, feedback and energy data.
Self-healing rooms
Approved runbooks — restart a codec, power-cycle a display, reload a program — triggered automatically by known fault patterns, with every run audited.
Builds on Remote and scheduled actions, PDU control, and confirm-before-act AI.
On the horizon
Where the platform can take us
A platform that learns
Every project, driver and resolved incident makes the platform — and the AI working on it — better for every client.
Builds on One shared framework, one cloud, one knowledge base.
Usage-driven room design
Use real occupancy, booking and rating data to recommend which rooms to resize, re-equip or repurpose, and prove the result after the refit.
Builds on Room usage, ghost-booking detection and feedback trends.
The more rooms, the smarter it gets
1 → many
A driver, diagnostic or dashboard view built for one client goes back into the shared platform and reaches every client.
Data → insight
Every check-in, log line and rating adds to a picture no single-project integrator can match.
AI × pipeline
AI that can read the estate, plus a pipeline that can ship safely, makes the path from fault to fix shorter every year.