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Silence ticket noise, automate response, and scale with a self-healing operational fabric.
Silence ticket noise, automate response, and scale with a self-healing operational fabric.
If you run operations in telecom, banking, insurance, or finance, you already know the pattern. More platforms, more integrations, more alerts, more tickets. Teams work hard, but it still feels like you are always catching up.
ThalamX is built for a different outcome: connect your operational data once, and automate L0 to L2 operations end to end, on a dedicated, in-region public cloud instance, with usage-based pricing.
The simple idea
Input: your signals (events, logs, metrics, traces, tickets, customer and network telemetry)
Output: automated outcomes (detect, triage, diagnose, resolve, document)
Middle layer: handled by ThalamX, so you are not running that day-to-day machinery yourself.
What ThalamX provides
Dedicated instance per business (not shared runtime), deployed in the region you require
Usage-based charging, so it works for any size and any volume
AI plus orchestration, so the system does not just “recommend,” it can act safely
TM Forum and ITIL 4 aligned, so automation fits your governance, not fights it
What L0 to L2 automation looks like
L0: self-service that actually helps
A virtual agent that answers common questions, checks live service context, and can trigger approved actions.
Typical outcomes:
status and known-issue responses with real context
simple fixes like access resets, re-provisioning, re-sync
fewer tickets created in the first place
L1: triage without the churn
The platform classifies, enriches, and routes tickets and alerts automatically.
Typical outcomes:
deduplication and alert noise reduction
smart prioritisation based on impacted services and customers
standard requests fulfilled through workflows
L2: faster diagnosis and safe remediation
Where most time is lost today is evidence gathering, correlation, and running runbooks across too many tools. ThalamX compresses that cycle.
Typical outcomes:
correlation across topology, dependencies, config drift, recent changes
runbook automation for safe actions (restart, scale, failover, rollback, config fixes)
policy gates and approvals where you want them
Reference architecture
Your signals flow into a dedicated ThalamX instance deployed in your required cloud region.
AI reduces noise, correlates events, and proposes actions with a confidence score.
Orchestration runs approved runbooks, updates ITSM, and keeps a full audit trail.
Metering supports usage-based pricing.
Why dedicated, in-region matters
Many organisations need isolation and regional control for risk and compliance. A dedicated in-region instance gives you:
clear separation from other customers
the ability to meet data residency expectations
environment-specific tuning for better accuracy and performance
“Standards-aligned” without the heavy lift
ThalamX keeps things familiar:
ITIL 4 practices like incident, problem, change enablement, and service requests are implemented as automated workflows with audit evidence
TM Forum alignment supports consistent service and resource modelling and closed-loop patterns across domains
Industrial-grade foundations (the bits your architects will ask about)
Observability: OpenTelemetry support for traces, metrics, and logs
Event patterns: pub/sub with Kafka-compatible streaming where needed
APIs: OpenAPI and AsyncAPI contracts, schema validation
Identity: OAuth2 / OIDC, SAML where required, SCIM for provisioning
Security: TLS, encryption at rest, RBAC, least privilege, immutable audit logs
Model governance: versioning, drift monitoring, confidence thresholds, human-in-the-loop controls
A practical way to start
Most teams get value quickly by starting with two lists:
the top repetitive L0 and L1 requests you want to deflect
the top recurring L2 incident patterns you want to close-loop with runbooks
From there, the system can expand domain by domain.
Closing thought
ThalamX is not trying to replace your tools. It is designed to connect them, reduce noise, and close the loop so L0 to L2 work gets handled faster, more consistently, and with clear governance.
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