Operational intelligence platform

Operations, with context.

Zentra turns business signals into prioritized decisions, coordinated workflows, and measurable outcomes.

See how it works
Clock 14:09:53Sample scenario
  1. Event
  2. Analysis
  3. Decision
  4. Workflow
  5. Outcome
Loop complete · outcome verifiedelapsed 00:07:42

01The problem

Your systems know what happened. Your team still has to figure out what to do.

Events live in five tools. Context lives in people's heads. Follow-up lives in chat threads. Zentra brings them into one place, with one shape.

Illustrative systems
  • CRMacct 4471 flagged04/03 2:02pm
  • ERPGL-2210 variance2026-03-04T08:32Z
  • SupportTKT-9083 reopened14:02 IST
  • Paymentssettle_batch mismatch1772629931
  • Internal appsjob retry x3today, 14:01
ZENTRAone ledger
  • 14:02:10crmAccount flagged
  • 14:02:11erpLedger variance
  • 14:02:12supportTicket reopened
  • 14:02:13paymentsSettlement mismatch
  • 14:02:14internal-appsJob retried

Five formats, five clocks, no shared context.One timestamp format, one event shape, one place to look.

02Operating model

From signal to action, in five stages.

Detect what matters, understand why, decide what should happen, coordinate the response, and verify the outcome.

01 · DetectSample

What happened?

Event arrives.

Incoming events

14:02:09job.retryinternalevent
14:02:10ticket.reopenedsupportevent
14:02:11reconciliation.mismatchpayments-gw signal
14:02:12acct.flaggedcrmevent
Layer · Event layer · Signal engine

03Inspect a signal

Follow one signal through every layer.

Choose a sample signal and step through what happened, why it matters, the context, the decision, the action and the outcome.

Signal canvasSample signals · not connected to a live service

Select a signal, then inspect each layer.

type
reconciliation.mismatch
source
payments-gw
delta
amount differs between ledger and gateway
evt
evt_7Q2K9
Signal

04Core capabilities

Six capabilities, one operating loop.

Each capability owns a part of the loop. Try the interactions: they use sample data.

01

Operational Signals

Identify meaningful events.

layer: signal engine · input: events · output: signals

EventsSignificance

Threshold 55 · promoted to signal

02

Intelligent Workflows

Turn operational decisions into repeatable execution.

layer: workflow engine · runs: durable · steps: audited

Select a step to move the run · run_88213

03

AI Context

Provide relevant context before action.

layer: context + AI · shows: evidence · acts: within policy

Settlement mismatch in batch B-2291.

04

Policy Engine

Keep automation within business rules.

layer: policy engine · modes: auto, review, block · logged: yes

pol_approval_limit · if amount > limit

Runs after a person confirms in the Action panel.

05

Operational Analytics

Understand bottlenecks and outcomes.

layer: analytics · answers: where and why · sample data

Where do cases wait longest?

Sample distribution · resolution time
06

Integration Layer

Connect existing systems.

modes: webhook, API, connector · auth: keys and secrets · retries: designed

Systems push events to a Zentra endpoint.

05How it works

Connect, observe, interpret, orchestrate, verify. Each step goes a layer deeper.

  1. L1

    Connect

    Bring in the systems you already run through webhooks, an events API, and connectors as they become available.

    Integration layer · Event layer

  2. L2

    Observe

    Normalise every event to one shape and identify which ones are signals worth attention.

    Signal engine

  3. L3

    Interpret

    Gather related records, history and owners, then propose an interpretation with its evidence attached.

    Context engine · AI layer

  4. L4

    Orchestrate

    Turn the decision into a workflow that runs inside your policies, with approvals where you require them.

    Workflow engine · Policy engine

  5. L5

    Verify

    Confirm each outcome, keep the audit trail, and learn where operations get stuck.

    Analytics layer

Platform layers · depth 1 of 5

06Use cases

Scenarios, not slogans.

Each scenario shows a trigger, its context, the action taken and the verified outcome. These are sample workflows, not customer stories.

SLA Risk

Sample operational scenario

Work approaches a deadline and nobody has noticed which item is actually at risk.

Trigger

Ticket TKT-9083 will breach SLA in 42 minutes and its owner is offline.

Context

Third contact this week, account flagged in CRM, two agents available on the queue.

Action

Reassign to an available agent, attach the history, notify the owner and the team lead.

Outcome

Ticket acknowledged before the deadline. SLA outcome recorded.

sig_0413 · run_88291

07Integrations

Connect your systems. Get signals, workflows and outcomes.

A system map, not a logo wall. Zentra is designed around webhooks, an events API and connectors. Systems shown here are examples.

Integration architectureIllustrative systems · no connectors are live
ZENTRA
  1. Ingest
  2. Normalise
  3. Signal
  4. Context
  5. Workflow
  • SignalsMeaningful events with priority
  • WorkflowsCoordinated response, audited
  • OutcomesVerified results and analytics

Payments · Settlements, refunds, disputes · via Webhook

08Security and control

Automation needs control.

Zentra is designed so automation runs inside limits you define, and every action is recorded. Controls are described honestly: what is designed, and what is planned.

Who did what, when, from where, and with what result.

14:22:09  j.rao  policy.update  approval_limit  Succeeded
14:31:44  api key ops-ingest  event.create  Succeeded
14:40:02  run_88213  action.execute  Succeeded

Example fragments use sample data. Zentra does not currently claim any certification.

09Pricing

A subscription, plus usage that follows value.

Four plans, priced across six usage dimensions. Commercial pricing has not been published, so nothing here is an offer.

One record received by Zentra from a connected system or the API.

Planned plan structure. Values are indicative and commercial pricing has not been published.
Planned structure
StarterEvaluate Zentra and run your first workflows.Pricing at launchGet started
GrowthOne team running live operations.Pricing at launchGet started
BusinessMultiple teams that need governance.Pricing at launchTalk to sales
EnterpriseCustom volume, security review and support terms.Custom pricingContact us
Usage dimensions
EventsLimit set at launchLimit set at launchHigher limitCustom
Workflow executionsLimit set at launchLimit set at launchHigher limitCustom
AI processingLimit set at launchLimit set at launchHigher limitCustom
IntegrationsFewMoreManyCustom
SeatsSmall teamTeamMultiple teamsCustom

Commercial prices and limits are not final. Nothing on this page is an offer.

10Questions

Plain answers.

Something else? Ask us directly.

Zentra is an operational intelligence and workflow orchestration platform. It turns business events into signals, adds context, proposes a decision, coordinates the workflow and verifies the outcome. ZentraOps is the flagship product.

Events arrive from your systems. Zentra identifies which ones matter, gathers related context, evaluates policy, runs a workflow, and checks whether the issue was resolved. Every step is recorded.

Zentra is designed to connect through webhooks, an events API and connectors. Systems shown on this site are illustrative examples. Available connectors will be listed on the Integrations page as they ship.

Only within rules you set. Policies decide whether an action runs automatically, requires review or approval, or is blocked.

Yes. Approval steps are part of the workflow and policy model. A run waits for the approver and the decision is written to the audit log.

The AI layer summarises related records, interprets signals and proposes actions. Each insight states what was observed, why it matters, the supporting context and the suggested action. It acts only inside policy.

Access is designed around workspaces, roles and groups, with actions recorded in an audit log. Details are on the Security page.

Plans combine a subscription with usage across events, workflow executions, AI processing, integrations, seats and governance. Commercial pricing has not been published yet.

The developer experience is designed around an events API, webhooks, workflow triggers and API keys. The examples on this site are illustrative and are not connected to a live service.

That is the design intent: versioned workflows, policy modes, approvals, audit history, retention settings and role-based access.

Get started

Connect one workflow.
See what Zentra finds.

Sample data is used throughout this site.