Real-time visibility for the operators keeping things running.

Analytics & Operational Alerts

We pair event streams with LLM summarisation so leaders know what changed, why, and what needs attention.

< 60s

Alert latency

3-5 per engagement

Dashboards shipped

SQL, REST, message buses

Connectors

Start a scope Frequently asked questions

Why teams call us

  • Leaders find out about issues after customers do
  • Data is locked in tools with no shared view
  • Too many alerts with no context

Measurable outcomes

  • Issues surfaced before SLA breaches
  • Shared understanding of operational health
  • Time saved reporting up the chain

How the engagement runs

Step 1

Event capture

Instrument existing systems, message buses, and logs to create a unified activity feed.

Step 2

Signal vs noise

Use rules + ML to group related events, suppress duplicates, and enrich with context.

Step 3

Explain & act

Send summaries to the right channel with suggested actions, owners, and links to drill-down dashboards.

What you get

  • Operational data model + warehouse objects
  • Alerting + notification workflows
  • Executive + team-level dashboards

FAQs

Do we need a data warehouse first?

We work with what you have. When a warehouse exists we use it; otherwise we provision lightweight storage for the engagement.

How do alerts avoid noise fatigue?

We implement suppression, deduplication, and human feedback loops so only actionable alerts make it through.