Automate the workyour team does by hand.

AI agents for operations teams' busywork. Your people stay in control.

Proof, not words

See it work.

  1. 01

    Owner dashboard

    The whole operation, one screen.

    Demo owner dashboard for a fictional gym chain: incorrect charges prevented, refunds avoided, median time to resolution and a data trust score, each with a link to where the number comes from.Demo owner dashboard for a fictional gym chain: incorrect charges prevented, refunds avoided, median time to resolution and a data trust score, each with a link to where the number comes from.
  2. 02

    Billing checks

    Billing caught before it runs.

    Demo reconciliation queue: mismatches sorted by next billing date, such as “Freeze dates differ, bills in 2 days”, each with a suggested fix and a Confirm fix button a person clicks.Demo reconciliation queue: mismatches sorted by next billing date, such as “Freeze dates differ, bills in 2 days”, each with a suggested fix and a Confirm fix button a person clicks.
  3. 03

    Data lineage

    Every number shows its source.

    Demo member lineage table: what the billing export, staff sheet, desk forms and check-ins say for one member, with the three fields that disagree flagged and the trusted value for each.Demo member lineage table: what the billing export, staff sheet, desk forms and check-ins say for one member, with the three fields that disagree flagged and the trusted value for each.
  4. 04

    Claim review

    Software suggests. A person decides.

    Demo warranty claim: a verdict banner reads “Looks not covered: outside the window per section 1.2”, marked as a suggestion that a named person decides, next to the rules that fired.Demo warranty claim: a verdict banner reads “Looks not covered: outside the window per section 1.2”, marked as a suggestion that a named person decides, next to the rules that fired.

The work, in motion

Illustrative · fictional data

Your team keeps every decision.

What we build.

Four things we build, on your data.

  • Company wiki that writes itself

    Cited pages from your own documents, kept current.

  • Billing & data checks

    Mismatches across systems, caught before they cost you.

  • Document & photo intake

    Forms, invoices and photos become checked records.

  • Owner dashboards

    Every number traced back to its source.

How it works.

  1. Step 1: Map one workflow

    We sit with the people who do it.

  2. Step 2: Free pilot on your data

    Time-boxed. You see results first.

  3. Step 3: Run it with your team in control

    Review queues, approvals and an off switch.

Why i²

Built by engineers. Run your way.

We come from machine-learning research and engineering. We work with teams of about 50 to a few thousand people.

  • Your team decides every call.

    AI does the repetitive work. Uncertain cases wait for a person.

  • A written data agreement first.

    Signed before you share anything. We can build inside your environment.

  • You work with the builder.

    The person who scopes your project builds it and answers for it.

FAQ

Questions.

Anything else? Email us.

Is our data safe?

Every engagement starts with a written data agreement, signed before you share anything. If your data can't leave your environment, we build and run the system there.

What if AI can't do it?

Then we tell you, usually during the free, time-boxed pilot, before you've paid for anything. Sometimes a simpler fix works better. A clear "no" is a useful result.

How long does it take?

The free, time-boxed pilot has a length we agree up front. A custom build with integrations usually takes 8–14 weeks.

Will this replace our staff?

It removes repetitive steps, not judgment. People move from typing and sorting to reviewing exceptions. How you use the time is your decision.

Does it work with our systems?

Usually, yes: email, ERP, CRM, accounting and file storage, through their APIs where possible. We check this during the pilot, before quoting anything.