Zoho Analytics' new Ask Zia review: worth it if your numbers already live in Zoho, a long setup if they don't

The short version

Zoho announced a rebuilt Zoho Analytics on October 28, 2026. The headline is Ask Zia, its assistant, which now coordinates six specialist agents: one for analysis, one for charts, one for data preparation, one for formulas, one for Python-based modeling and one for SQL. You ask a question in plain English, and the right agent does the work in the open, so you can see and edit the steps.

Zoho says pricing hasn't changed. Every plan includes a monthly allowance of credits for Zoho's own AI models, and the entry-level Basic plan, for two users and half a million rows, now includes 10,000 of them.

It's for you if your sales, books and support already run in Zoho apps, you have someone who can define your key metrics, and you want answers without waiting on a report builder.

Skip it, or wait, if most of your data lives elsewhere and you'd be starting from scratch, if nobody owns your metric definitions, or if the features you care about are still in preview for your region.

Who it's for: the business already living in Zoho

The strongest part of this release isn't the chat. It's what Zoho calls the ontology and the semantic layer.

The ontology tells the system how things connect. Zoho's example: a contact in Zoho CRM is the same person as a customer in Zoho Books and a requester in Zoho Desk. The semantic layer holds a description, synonyms and instructions for each metric and field, and you can keep separate versions for different teams. Scoping limits an agent to one team's data.

If your business already runs on several Zoho apps, a lot of those links exist already, and the work is mostly writing down what your numbers mean. That's where agents stop guessing.

An analytics agent is only as honest as the definitions you give it, and most companies have never written theirs down. We made the same point about defining an operations metric before anyone reports on it. Zoho's release gives that work a place to live and a reason to finally do it.

Who it's for: the team that needs guardrails before it says yes

The governance list is longer than we expected for a product at this price:

• Data policies at table, column and row level, so a regional manager sees only their region.
• A sandbox for changes, with deployment management and rollback.
• A data catalog with lineage, so you can trace where a number came from.
• AI observability, which records which agents ran, who ran them, what data they touched, how they answered, and the usage and cost by team.
• AI settings that show what each AI feature shares with outside AI vendors. You can run on Zoho's own models, supported models from providers like OpenAI, or bring your own key.

If your finance or compliance person has been the one saying no to AI tools, this is the list to show them.

Who should skip: data that lives somewhere else

Zoho added more than 30 connectors on top of the 500 it already had, including SAP S/4HANA, PayPal, Adobe Commerce, Square POS, Lightspeed, Intercom, Notion and Supabase. So connecting isn't the problem.

The problem is the ontology and semantic layer. If your CRM, accounting, store and support tools all come from different vendors, someone has to tell Zoho how a customer in one matches a customer in another, and what "active customer" means. That's real work. It's worth doing, but budget for it as a project, not a switch you flip.

Here's a small example of why. A shop selling through Shopify and Square at a weekend market asks, "how many repeat customers did we have last quarter?" Online, a customer is an email address. At the market, a customer is often a card number, or nobody at all. Until someone decides how those match, or that they don't, any agent will give a confident number built on a guess. The question sounds simple. The answer depends on a decision only the business can make.

If you already have a reporting setup you trust in another tool, a new analytics product won't fix inconsistent definitions. Fix those first, wherever you report.

Who should wait: features still on their way

Zoho says the new version is rolling out gradually across regions and users. The ontology, semantic model and pixel-perfect reporting previews reach all regions over the next four to eight weeks. On-premise customers get the updates in the first quarter of 2027.

That matters because the semantic layer is the feature that makes the agents trustworthy. If it hasn't reached your account yet, try the chat with care and wait before you rely on it for numbers anyone acts on.

Two more things to settle before committing: how far the included credits go for your team's real use, and which models you're comfortable sending data to. Zoho gives you the controls; you still have to make the choice.

Our suggestion for a first month: pick three questions your team asks every week, write the definitions behind them in the semantic layer, and compare the agent's answers with the reports you already trust. If they match, widen the circle. If they don't, you've found either a gap in the setup or a disagreement inside your team, and both are worth knowing about.

Also worth knowing

Zoho now offers an MCP server, hosted or self-hosted, and a connector for Claude, with your access permissions still in place, according to Zoho. That means people who already work in an AI assistant can ask questions of your Zoho data from there. Useful, and also one more place to decide who has access to what.

There are custom agents, too: you choose the data, the semantic model, a knowledge base, outside tools via MCP, instructions, guardrails, and who can use each agent. Start with the pre-built ones before building your own.

If you want help deciding whether this belongs in your stack, or writing the metric definitions that make any analytics agent trustworthy, our business automation team does that work. Get in touch and tell us which number your team argues about most.

Related work: Sutton Place.