tanyan.ai
Our promise

Your first AI worker, at work in weeks — not months or years.

Most AI projects stall between the demo and daily use. Ours start from parts that already work in production, so the time goes into the only thing that is truly yours: your business.

How you engage with us · The SME AI Igniter

Five steps from an idea to a specialist at work

A typical path. Your pace depends on your documents and your people’s time.

01 · WEEK 1
Find an opportunity in your organization

One outcome worth improving — where hours go today and results matter.

02 · WEEK 1
Answer a few questions

How the work is done now, who does it, and what “done right” looks like.

03 · WEEKS 1–2
Share knowledge, experience and data

Your documents, your rules, and the know-how your people carry in their heads.

04 · WEEKS 3–4
Kick the tires with a working model

A real specialist on your real work, with your people reviewing every result.

05 · ONGOING
Evolve into an operational system

The specialist goes to work for real and keeps learning from every correction.

Start with step 1 — tell us where the hours go.
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Already shown

The same parts, a new business each time

Gideon
Property accounting — from first document to working pilot in [X] weeks.
Lena
Bookkeeping — started from Gideon’s parts rather than from scratch. [Milestone and date]
Zara
Front desk — a different industry on the same foundation as our trip concierge. [Time to demo]
The promise in our name

Fast is only useful if it is frank

Nothing half-done

If a task fails partway, nothing partially happened. It completes, or it never started.

A record of every change

Before, after, and why — kept for every change an agent makes.

It tells you what to check

When it is unsure, it says so — and points to the answer that needs a human eye.

No surprise bills

You approve the budget. The agent stays inside it — and shows you where every dollar went.

What we won’t promise

Speaking frankly includes this.

That it is never wrong

No AI is. We promise that when it is unsure, you will know.

That it replaces your people

Your people direct it, review it and teach it. It gives them back the repetitive hours.

That it fits every job

If an outcome is not a good fit for an agent, we will say so up front.

What makes the promise possible →