Ask what Operations asks every week
Not just that something broke, but where, when and what moved with it.
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.
Fewer surprises, shorter post-mortems.
Follow one Operations question through Zenzo, from the moment it’s asked to the evidence behind the answer.
Did the new vendor improve turnaround?
Cycle times before and after the switch, with the sample size for each period.
You get a plain-English answer with the evidence attached.
Not just that something broke, but where, when and what moved with it.
Not just that something broke, but where, when and what moved with it.
Cycle times before and after the switch, with the sample size for each period.
Ticket categories ranked by volume multiplied by handling time.
An alert comparing intake and resolution rates every hour.
The relevant SOP step, quoted from the current version with its owner and review date.
Answered with Zenzo BI from MySQL and Zendesk, with the evidence attached.
Problems don’t wait for the weekly review. Zenzo checks continuously and speaks up only when something moves.
Is anything running outside its normal range?
Zenzo deliversA watcher agent checks key tables and posts only when something moves.
What happened overnight that the next team should know?
Zenzo deliversA short written digest of incidents, backlogs and anything still open.
Where is cost per unit drifting?
Zenzo deliversCost per order, ticket or shipment by site or team, with the drivers ranked.
What caused it, and could we have seen it coming?
Zenzo deliversA root-cause summary listing the data points that changed first.
Zenzo products are built to work together on one platform, so each step builds on the one before it.
Watcher and root-cause agents, anomaly detection and plain-English questions on operational data.
Start hereOperating dashboards with drill-down from a site to a single order.
Learn moreSOPs and runbooks answered with the exact step cited.
Learn morePlanned: connecting operational signals with financial and customer impact.
Learn moreThe controls Operations teams ask about first, applied to every query and every answer.
Only masked schema metadata is sent to the AI model. Sensitive data hidden before AI sees it.
Give each role full, masked or no access per table, and redact, hash or partially mask sensitive columns.
Per-role and per-user filters are applied to every query automatically, so people only see their own data.
Every action is logged with personal data scrubbed and a cryptographic signature that proves it hasn’t been altered.
Sign in with Google, Microsoft, Okta or any OIDC provider, with SCIM to add and remove users automatically.
Bring your own API key, choose OpenAI, Azure OpenAI or Anthropic, or run local models with Ollama.
These pages pick up where this one ends.
Still deciding? We’re happy to walk through your own data and questions.
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.
No. Zenzo connects to operational databases such as PostgreSQL, MySQL and MongoDB, as well as spreadsheets and SaaS tools.
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.
Yes, as well as Slack, email and webhooks.
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+ connectorsCheck out the plans that fit your team or organization.
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