You shouldn’t have to take our word for it. Here’s how the platform actually works, how it scales, how it stays secure, and how it fits into your stack.
Telecom operators process tens of thousands of tickets per month. The platform is built for that from day one — not bolted on later.
Every workflow runs as a durable background task. If a worker crashes mid-execution, the run automatically recovers and continues — no lost tickets, no silent failures.
Add workers to handle more concurrent workflows. Each worker processes runs independently with rate limiting to prevent API overload. Scale linearly with your ticket volume.
End-to-end ticket classification, priority assignment, and routing in under 5 seconds. That’s 50x faster than the 4+ minute average for manual triage.
Telecom data is sensitive. The platform is designed with isolation, access control, and auditability as first-class requirements.
Every table, every query, every API call is scoped by tenant. Your data is never mixed with another operator’s. Enforced at the database level, not just the application layer.
RBAC with scoped API keys. Every request is authenticated and authorized. Rate-limited to prevent abuse. Audit trail on every action.
Conditional workflow logic runs through a sandboxed AST evaluator — not Python eval(). Only whitelisted operations execute. No arbitrary code runs on your data.
Every inbound webhook is deduplicated via idempotency keys or payload hashing. Retries from your ticketing system never trigger duplicate workflows.
Every run, every step, every LLM call is logged with timing, token count, cost, and result. Complete traceability for compliance and debugging.
Designed to meet SOC 2 Type II requirements. Encryption in transit and at rest. No customer data used for model training. Enterprise SSO on the roadmap.
The platform connects to your existing systems through REST APIs and webhooks. No rip-and-replace. No middleware layer to manage.
Point your ticketing system’s webhook at our endpoint. Tickets flow in automatically. We handle deduplication and queueing. Supports ServiceNow, Zendesk, Salesforce, and custom systems.
Full REST API for creating outcomes, triggering workflows, querying results, and pulling metrics. Everything you see in the dashboard is available programmatically.
Pull KPI data into your existing BI tools. Per-outcome metrics, per-run costs, and aggregate dashboards — all available via API.
Tickets + incidents
Support tickets
Cases + CRM data
Any REST endpoint
Metrics dashboards
KPI reporting
Incident escalation
Any event source
Everything your engineering and security teams need to evaluate.
| Specification | Detail |
|---|---|
| Workflow Execution | Durable async tasks with automatic recovery. Configurable retries with exponential backoff per step. |
| AI Models | OpenAI GPT-4o and GPT-4o-mini. Model auto-selected per step based on task complexity. Multi-provider support on roadmap. |
| Step Types | LLM (prompt execution), API (HTTP calls), Conditional (branching logic), Transform (data mapping) |
| Data Store | PostgreSQL 16 with async connection pooling (20 connections + 10 overflow) |
| Queue | Redis-backed task queue with dedicated workflow processing lane |
| Vector Store | ChromaDB for semantic search and similarity matching |
| Multi-Tenancy | Tenant isolation at database level. All queries scoped by tenant_id. Extracted from X-Tenant-ID header. |
| Authentication | API key + RBAC. Enterprise SSO/SAML on Q4 2026 roadmap. |
| Rate Limiting | 10 workflow runs/minute per worker. Configurable per tenant. |
| Deployment | Docker Compose (cloud) or on-prem. Single-command startup. |
| Observability | Per-step execution logs with timing, token count, cost. OpenTelemetry integration on roadmap. |
| Compliance | SOC 2 Type II architecture. Encryption in transit (TLS 1.3) and at rest. No customer data used for model training. |
We’ll run a proof of concept on your real tickets. You see results before you commit.