Wingman · conversational intelligence

Turn rich messaging into a real AI conversation.
That still returns perfect data.

Tapping through buttons is a form with nicer paint. Wingman is what makes it a conversation — the person types or talks however they like, an AI understands it against the workflow's goal, and a dozen fields fill at once. Same validated result as if they had answered every question one at a time.

Start building free Why it stays on the rails Hands-free

Why every other AI conversation disappoints

Let them chat. But give the AI a mission.

Everyone has been promised conversational AI and handed a demo that impressed and a pilot that produced nothing usable. The models were never the problem. A conversation with no destination ends somewhere different every time — so you get transcripts instead of data, and no two look alike.

Here the workflow tells the AI three things before a single word is exchanged: what the goal is, what the valid options are, and what has to be collected. Now the person can say anything at all, and the AI's only job is to land that mission. Unstructured conversation in. Structured, validated, identical-every-time data out.

A chatbot improvises. This one has an objective, and it cannot finish without meeting it.

What your customer feels

Twelve taps become one sentence.

“I want to return the blue jacket, it arrived with a torn seam, and I'd rather have store credit.” That is the item, the reason, the condition and the resolution — four steps answered in one breath, each through the exact validation a tapped answer would get. The steps that were satisfied simply do not get asked.

Skipping is the point

Structure is not the enemy of a good conversation. It is the only reason a person can safely skip ahead — the workflow knows what is still missing.

Nobody has to be chatty

Prefer to tap? Take the step-by-step, which is what rich messaging natively is: suggested replies, rich cards, lists. One authored structure, two speeds, identical data from either.

It asks only what is left

Half-answer and it picks up the rest. Change your mind mid-sentence and it follows. Come back tomorrow and the thread remembers.

And when nobody can look at a screen

The same workflow, with the phone away.

Business messaging you never look at. A Bluetooth earpiece reads the step and captures the spoken answer — the same published workflow, the same validation, the same structured result, handset in a pocket.

Anyone whose hands are busy: a warehouse picker, a driver between stops, a retail floor, an events crew, a clinical round, a technician on a ladder. And because the whole run can be heard and answered aloud, blind and low-vision users run the identical workflow independently — no separate app, no lesser version.

The voice is the interface. The texts — and the data behind them — are the receipt.

A workflow read into a Bluetooth earpiece and answered by voice

Voice in, structured answers out

Your model or ours

And it works with no AI at all.

Deterministic extraction fills structured answers with zero AI subscription, so the platform is fully usable before you have signed anything with a model vendor. AI prices the acceleration, never the basics. Bring your own key to make it sharper, and your data goes to your model rather than ours.

Bring your own keyOr use oursOr no AI at allAny language

Why this is the magic

Designed conversation. Conversational intelligence. Perfect data either way.

The workflow is what makes the AI reliable, and the AI is what makes the workflow feel human. Neither works alone — a chatbot with no objective returns transcripts, and a form with no intelligence returns abandonment.

Start free

Let them just talk to you.

Build one conversation, turn Wingman on, and watch a paragraph become a complete, validated record.

Start building free How it works Watch it run