What is Sonta AI?

Sonta AI is an agentic CRM: a system of record built for AI agents to run the work, not for people to type into. Agents execute the routine sales work — they do not suggest it and wait for someone to act.

The category is AI-native. The difference from a CRM that added AI features is architectural, not cosmetic, and it decides what the agents can actually do.

Four words that get used as if they mean the same thing

They do different jobs. Keeping them apart is most of what separates real architecture from a marketing page.

• AI-native is the category — the shift to systems designed around agents rather than around data entry.
• Agentic is what the product does. Agents execute work; they do not just recommend it.
• AI-first is the operator. A CRM is AI-native. A sales team is AI-first.
• AI-powered is the label on bolt-on AI — a legacy suite with an assistant added to the side.

Sonta AI is the agentic CRM for AI-first GTM teams.

The ceiling this exists to clear

Most CRMs ship AI now. It usually arrives as a chatbot next to your records, and it does not know your listings, your candidates, your inventory, or how your firm actually sells. So it drafts generic emails and surfaces insights the rep already had. Within a month, nobody opens it.

The reason sits underneath the chat box. A CRM built before agents holds whatever a rep remembered to type after a call — thin data, entered late. An AI layer on top inherits exactly that. The agent's quality is capped by the record's quality, and no add-on lifts that ceiling.

One question settles it on any demo: does the AI change the record, or does it only talk about the record?

What makes it structural

Sonta's data model is built for agents to read and write in real time. That is the supporting architecture for everything above it, and it is why the agents are not generic — they were never given a generic system to work in.

The model is yours to define. A collection (elsewhere: an object, or a table) is a kind of thing you keep — listings, candidates, pursuits, service appointments. An entry is one of them. A field holds a value on that entry, or a reference to an entry in another collection: the agent that preps a showing knows which listing, which buyer, and which agent it belongs to, because those are relationships in the model rather than words in a notes field.

None of this is code. You add a collection, add fields, and the API, the interface, and the search follow immediately. It is also why an agent can ask what a collection contains and get a real answer — the schema is data, not something compiled and hidden.

Records update as a side effect of the work happening rather than as a chore performed afterward. That is the whole difference: current, complete context instead of shallow, late signal.

What agents work with

Around the data model sit the parts that make this an operations platform rather than a database. Each has its own page; this one only tells you they exist.

• Lifecycles move an entry through stages — an inquiry becomes a qualified lead becomes a placement.
• Automations react to events. An automation has a trigger and steps: when an entry is created, when a field changes, when a stage moves, on a schedule, or when an email arrives. Steps send email, create or update entries, call a webhook, set a stage, branch, loop, or wait.
• Booking makes a collection schedulable, working down through your locations, departments, and working hours — including the exceptions, because real businesses close on holidays.
• Email and the inbox sit with the records instead of in another tab. Connect a mailbox, template the message, send, triage the reply against the entry it belongs to.
• Reports query the model you built, not a schema someone else chose for you.
• Blueprints package a vertical — collections, stages, automations — as one install, so you start from a working setup instead of an empty business.

A business is the unit

All of it lives inside a business (elsewhere: a workspace, or a tenant). A business holds its own collections, its own team, its own agents and automations.

One account can hold several. An agency runs a business per client. A firm with two brands keeps them apart without keeping two accounts.

Inside one business, the model goes as deep as the work does. A professional services firm with offices in four cities does not run on "contacts" and "deals" — it keeps clients, pursuits, proposals, retainers, consultants, and engagements, and every one of those belongs somewhere: to an office, and to a practice inside it.

Locations and departments are part of the model rather than a field someone remembers to fill in. So a partner in one office sees that office's pipeline, the managing partner sees all four, and the agent chasing a proposal knows which office owns it, who staffs it, and what that office's working hours are before it books anything.

Sonta's own documentation runs on Sonta: the article you are reading is an entry, and the section holding it is an entry.

Three layers, and you own them

Sonta holds three things on your behalf: the context — every important event in your business, structured; the agents — the configured workers that do the job; and the processes — the workflows connecting them. All three are yours as portable assets, not settings trapped inside one vendor.

Model choice sits above those layers. Frontier models connect through MCP and equivalent open standards, each used where it is strongest. When a faster or more capable model becomes the better fit for a workflow, the work keeps running on the same context.

There is no proprietary AI tax — no per-conversation fee defending a model nobody asked for. As frontier model prices fall, your cost falls with them.

What it costs

Two honest conditions.

It fits a sales motion that already exists. Sonta is a system for the selling you already do — a staffed motion carrying real routine load: follow-ups, scheduling, account prep, post-call updates. If you are standing up a sales function from scratch, there is nothing yet for an agent to run.

You shape the system to your motion. The agents act like a tenured teammate because they are configured to how your firm actually works, and somebody has to make those calls. Blueprints shorten this for known verticals — real estate, recruitment, auto retail, professional services. A motion nobody has packaged yet is one you define. The flexibility is real, and so is the work.

There is a page on when Sonta AI is not a fit. It is worth reading before you commit.

Where to go next

If you want to know whether this describes your team, the next page covers who Sonta AI is for — the industries and the shape of team it fits. If you would rather see how the pieces connect before anything else, there is a page on how Sonta AI fits together, end to end. And if you would rather just try it, creating your first business takes about ten minutes.