tesseno.ai
software on demand, under governance

Describe it. And it exists.

The business team describes what it needs. Out comes a complete system — screens, agents, rules and database — with data, access and cost under your company's governance.

>
or try live
real systems, none of them hand-coded
chapter 01 · the two cycles

One request, two worlds.

A ten-second request: “answer on WhatsApp, book appointments and see it all on a dashboard”. Look at the price each path charges for it.

traditional path 7 steps · 4 teams · ≈ quarters
requestbusiness unit
ticketqueue
front end1 dev/screen
api v2contract
migrationdba
qaregression
deployrelease window
with Tesseno 3 steps · 1 person · minutes
the sentencethe business unit itself
the AI builds front back database
system livescreen, rule and data
7 steps → 3 4 teams → 1 person quarters → minutes api contract → conversation

Nobody waits a quarter for a screen anymore.

and your team already figured that out

chapter 02 · one sentence, one system

What comes out is not a chatbot. It is a system: screen, rule and database.

your request
>

Clinic support on WhatsApp: books, confirms and reminds 24h ahead.

waiting
01 · the system not one line written by hand
interface generated by AI
#88213
02 · backend agents + tools
03 · database created alongside
live · v1 the three layers can see each other
chapter 03 · shadow it and shadow ai

Either the data goes through the inside, or it goes around you.

This is not a hypothesis: it is already running in your company, off your radar.

66%

of professionals have used AI at work believing it was not allowed

PagerDuty · Wakefield, 2026
1 in 3

put customer data into a public AI model

PagerDuty, 2026
4×

was the jump in shadow AI detections in a single year

Verizon DBIR, 2026
current scenario · the data leaves 0 logs · 0 limits · 0 owner
inside the company
customer contract patient database business rule
copy and paste
personal AI chat automation on a personal account API key on a personal credit card team copilot, no owner
no inventory no consolidated cost no DPA no rollback leaves with the person
with Tesseno · the data stays every request logged
inside the company
customer contract patient database business rule
inside the perimeter
Tesseno
company keys or self-hosted roles and budget per team log with model, tokens and cost version and rollback per release
support$128 / 200
sales$46 / 150
operations$12 / 100
chapter 04 · two budgets

The same request, on the spreadsheet of whoever pays.

criterion
traditional
Tesseno
who builds
3 to 4 teams + vendor
the business unit itself
time to live
quarters
minutes
a new rule
ticket, version, deploy
one sentence, versioned
cost
diluted in hours and licenses
per execution and per team
what IT sees
whatever log each tool gives
every request, with cost
chapter 05 · numbers

What that is worth, in numbers.

Struck through, what the market spends today on a mid-sized internal system. Highlighted, the same system on Tesseno.

time to live
6 to 8 months
minutesto the first one live

That is what a mid-sized internal system takes, with 10 to 20 modules and 5 to 8 integrations, run by a dedicated team. On Tesseno, the first one ships before the meeting ends.

cost of the system
US$ 400k to 900k
US$ 0.02per execution

The market range is per project, before maintenance. On Tesseno the cost shows up per request, in cents, with a ceiling per team and chargeback per business unit.

people per system
4 to 8 engineers + vendor
1 personfrom the business unit itself

Whoever asked for it now maintains it. Changing a rule is one sentence, versioned and auditable, with no ticket and no waiting for a sprint.

2026 market references for mid-sized internal systems (timeline, project cost and team size)

on the platform today
95+
ready-made systems
10
industries
5
channels
3
ai providers

Your company will use AI either way. The choice is where.

inside, with a trail · or outside, in the dark