01 between systems
Work that lives in nobody’s system
The order arrives by e-mail, WhatsApp or a portal; the price list is a spreadsheet; the stock is in the ERP. The work is the join between them, and it is done by hand.
implementation
part 01 of 03
We implement and operate one bounded, recurring workflow inside your company: clear limits, a result measured in your own systems, and a loop that keeps improving it.
§01 the problem
01 / 05
An incomplete order, someone retyping it, an exception stopping the queue, and nobody measuring any of it.
01 between systems
The order arrives by e-mail, WhatsApp or a portal; the price list is a spreadsheet; the stock is in the ERP. The work is the join between them, and it is done by hand.
02 exceptions
A missing field, a customer over their credit, a special price. Each one waits for a person, and the queue waits with it.
03 not measured
Minutes per case, cases reopened, the ones that went wrong quietly. Without a baseline, no automation can prove that it helped.
capability is not use
The Anthropic Institute’s economic scenarios (September 2026) calibrate today’s use of AI at about 10% of the tasks the models can already reach. Reach belongs to the labs. Use, the gain realised and how much runs unattended move one workflow at a time. That is where an implementation works, at any level of reach.
from zero, or from what exists
Some workflows start from nothing. Many start from an agent that already exists and never reached production: a stalled pilot, a bought platform, an automation that grew. Both get the same treatment: a bounded scope, tests from real cases, a supervised launch, and a decision at the end.
Already have agents →Korinek, Jones, Sacher, Cotter and McCrory, “Economic Scenarios for Transformative AI”, Anthropic Institute WP 2026-02, September 2026 (the views are the authors’). Today’s use is a calibration in the paper, not a measurement of your company.
§01.1
Reach belongs to the labs. Use belongs to a deployment.
§02 the flow
02 / 05
One order, seven steps, two places where a person decides. Illustrative: order intake at a distributor.
scene 04 one place to pass through
one action · one line
Illustrative flow. If your process is different (shipping documents, a B2B quote, an administrative file), the same spine applies: intake, structure, validation, the decisions people keep, the write, the outcome read back.
§03 the deployment
03 / 05
The delivery clock starts when data and access exist. Timing in weeks, exact by scope.
step 1 readiness study2–3 weeks
A study you can inspect, valuable even when the answer is “do not automate”.
Decision at the end: implement, narrow, or stop.
step 2 implement and launch8–12 weeks after access
Adapters, executor, tests, runbook, supervised launch. The ERP, the CRM and the automation tool stay.
Decision at the end: accept the production scope.
step 3 operate and improvemonthly
Operation, exceptions and contracted support. Human review priced and counted, never implied. The six numbers are on the improvement page.
Decision at the end: renew or resize on measured value.
§03.1
The clock starts when access exists, not when the contract is signed.
§04 responsibilities
04 / 05
Every class of exception needs a name before the launch, not after the first one.
owno
you
together
§05 already have agents?
05 / 05
The hard cases arrive after the demo: incomplete context, rules that change, tools that fail. The problem is rarely the model.
01 what blocks wide use
A failure map from the agent’s own cases says which one. Most rescues are not a model change; they are a missing join, an unpriced review, or a test that never existed.
02 execution joined to the outcome
A trace shows the first event. The case holds all of them: accepted, corrected, reopened, disputed. Until the join exists, “working” is a guess.
03 every change with a test
The cases that broke it become the acceptance set. A prompt, tool or model change ships only when it passes them; critical failures are counted apart, so one serious one never disappears into an average.
04 in your environment
The agent stays where it runs. owno works inside the access you grant, with the record in your warehouse, and leaves release evidence you can hand to whoever asks.
Recovery is priced as its own offer: a known workflow, an authorised intervention, a failure map, an acceptance set, a targeted correction, and the evidence of the release. What you buy →
the first step
OWNO-WEB-1.2 · 2026-09-09
A readiness study of two to three weeks: baseline, concrete scope, access map, costed plan, and a go or no-go with the numbers on the table.
owno.ai · São Paulo