Zenzo for Operations

Find the bottleneck before it finds your customers.

Operational problems usually show up after the fact, as a late order, a missed SLA or a cost overrun. Zenzo watches the systems that run the business and explains what changed, in plain English.

  • Read-only connections
  • Sensitive data hidden before AI sees it
  • 30+ connectors

Connects to the tools Operations teams already use

PostgreSQLMySQLMongoDBSnowflakeZendeskJiraAirtableGoogle SheetsMicrosoft TeamsWebhooks
Before and after

From firefighting
to early warning.

Fewer surprises, shorter post-mortems.

TodayManual work
Operations lead · the usual way
  • Spotting problemsSomeone happens to notice a spike on a dashboard.
  • Root causeA meeting to piece the timeline together.
  • Recurring reportsCopied and pasted every Monday.
  • Finding the SOPAsking the one person who knows.
With ZenzoEvidence attached
Operations lead · with Zenzo
  • Spotting problemsAnomaly detection flags the change and summarizes it.
  • Root causeThe first signals that changed, listed in order.
  • Recurring reportsScheduled reports and digests that write themselves.
  • Finding the SOPCited answers from your current procedures.
How it works

From question
to answer you can check.

Follow one Operations question through Zenzo, from the moment it’s asked to the evidence behind the answer.

Ask
Did the new vendor improve turnaround?
Which step in the process adds the most delay?Which recurring issues cost the most to handle?
Answer

Did the new vendor improve turnaround?

Cycle times before and after the switch, with the sample size for each period.

Answered with Zenzo Analyst · from Airtable and Google Sheets
Evidence attached · sources and query shown

You get a plain-English answer with the evidence attached.

Questions with proof

Operational questions,
traced to the cause.

Not just that something broke, but where, when and what moved with it.

Ask what Operations asks every week

Not just that something broke, but where, when and what moved with it.

Did the new vendor improve turnaround?

Cycle times before and after the switch, with the sample size for each period.

Which recurring issues cost the most to handle?

Ticket categories ranked by volume multiplied by handling time.

Warn us when the backlog grows faster than we clear it.

An alert comparing intake and resolution rates every hour.

What’s the approved procedure for this exception?

The relevant SOP step, quoted from the current version with its owner and review date.

One operating view across sites

Answered with Zenzo BI from MySQL and Zendesk, with the evidence attached.

Decision rhythm

Operations never closes.
Neither does Zenzo.

Problems don’t wait for the weekly review. Zenzo checks continuously and speaks up only when something moves.

  1. Every hour
    Is anything running outside its normal range?

    Zenzo deliversA watcher agent checks key tables and posts only when something moves.

  2. Shift handover
    What happened overnight that the next team should know?

    Zenzo deliversA short written digest of incidents, backlogs and anything still open.

  3. Weekly ops review
    Where is cost per unit drifting?

    Zenzo deliversCost per order, ticket or shipment by site or team, with the drivers ranked.

  4. After an incident
    What caused it, and could we have seen it coming?

    Zenzo deliversA root-cause summary listing the data points that changed first.

Where each product fits

Start with Analyst.
Add the rest as you grow.

Zenzo products are built to work together on one platform, so each step builds on the one before it.

Guardrails

Switched on
from the first question.

The controls Operations teams ask about first, applied to every query and every answer.

Privacy firewall

Only masked schema metadata is sent to the AI model. Sensitive data hidden before AI sees it.

Column-level masking

Give each role full, masked or no access per table, and redact, hash or partially mask sensitive columns.

Row-level security

Per-role and per-user filters are applied to every query automatically, so people only see their own data.

Tamper-proof audit trail

Every action is logged with personal data scrubbed and a cryptographic signature that proves it hasn’t been altered.

Single sign-on

Sign in with Google, Microsoft, Okta or any OIDC provider, with SCIM to add and remove users automatically.

Your model, your keys

Bring your own API key, choose OpenAI, Azure OpenAI or Anthropic, or run local models with Ollama.

Agents that only readQuiet unless it mattersEvery run recorded
Explore more

Questions rarely stop
at one team.

These pages pick up where this one ends.

FAQ

Questions from
Operations teams.

Still deciding? We’re happy to walk through your own data and questions.

What can a watcher agent monitor?

Any metric Zenzo can query, such as backlog size, error counts or cycle time. It runs on a schedule or when a table changes, and posts when a threshold or anomaly is hit.

Do we need a data warehouse?

No. Zenzo connects to operational databases such as PostgreSQL, MySQL and MongoDB, as well as spreadsheets and SaaS tools.

How does root-cause analysis work?

Zenzo detects where a time series changed and summarizes the dimensions that moved with it. It shows its working, and a person makes the final call.

Can alerts go to Microsoft Teams?

Yes, as well as Slack, email and webhooks.

Get started

Bring your Operations
questions.

Connect a source, ask what your team asks every week, and check the evidence behind every answer.

Read-only connections · Sensitive data hidden before AI sees it · 30+ connectors

Check out the plans that fit your team or organization.

See Pricing