Astreya Pictor Platform

Astreya Pictor is Astreya's proprietary AI-powered process intelligence platform designed for IT and operations leaders. It ingests process data from external systems, automatically maps real-time workflow processes, highlights operational inefficiencies, and uncovers bottlenecks. Using built-in intelligence, it helps teams visualize exactly where work stalls across different operational environments, benchmarking behavior to deliver live, actionable insights and prescriptive alerts via Slack, text, and email. Its guiding promise is simple: you cannot improve what you cannot see.

The platform exists because Astreya's own delivery generates enormous volumes of process data. As a global IT managed-services provider resolving roughly 1.5 million tickets and managing 500,000+ assets a year for the world's largest technology companies, Astreya runs its most important work across ITSM, ticketing, and asset-tracking systems that produce static, backward-looking dashboards. Astreya Pictor was built to replace that retrospective view with live, interactive workflows, layering automated detection and AI-driven alerting on top.

Large organizations run their most important work, service delivery, asset performance, sales pipelines, and claims processing, as multi-step processes that span many teams and systems, yet they have almost no reliable visibility into how those processes actually behave. Running this on ETL scripts, BI dashboards, spreadsheets, and disconnected alerting tools created the same failures everywhere.

Teams knew how a process was designed but not how it ran in practice, where cases looped, skipped steps, stalled between handoffs, or split into unexpected variants. Anomaly detection was manual and reactive: KPI degradation like falling conversion, slowing deal velocity, or spiking resolution times was discovered only after the damage was done. Tooling was fragmented, with separate systems for ingestion, visualization, alerting, and task management and nothing connecting pipeline to discovery to statistics to detection to action, so every new model or data connection meant custom code and IT tickets. There was no standardized way to define a healthy ideal path and measure deviation against it. And insights reached the wrong people, in the wrong format, at the wrong time, so generic, context-free alerts bred fatigue and inaction even when a problem had been detected.

I designed Astreya Pictor as one integrated platform where data flows from ingestion through analysis, detection, and action without ever leaving the app. Everything shares a single navigation model, Company to Connections to Datasets to Analyses to Detections to Apps, and one custom design system, so each capability reads as part of the same product rather than a separate tool.

The platform is composed of a responsive marketing site plus five main modules, each framed by the specific failure it removes. The Integration Framework turns per-integration custom code into a no-code, self-service flow. The IQ Datasets layer gives analysts a governed, self-service on-ramp for shaping raw data into well-formed process data. IQ Process Analysis translates event logs into live, interactive workflow maps with node and edge statistics, variant comparison, and ideal-path overlays. The Heatmaps layer adds a directed-graph canvas with live per-stage metrics and three overlay modes for comparing actual against expected flow. App Packaging orchestrates everything downstream, from detection rules to conditional subscriptions to contextual notifications to automated prescriptions. And the Control Panel consolidates health, errors, audit trails, and recent activity into one scannable operational view.