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AI fluency you can measure

Your team runs 15-minute simulations of the work they actually do. You see whose judgment holds up, where the gaps are, and what each person needs next.

Case 3 · In progress
Observe · Sample interface

What the model gets to see

Inspect the draft and the source artifact before acting.

Evidence scan in progress
Role simulation1/3
Case 3 · In progressWhat the model gets to see
Evidence scan in progress
Real workObserved decisionsCited evidenceTargeted practice

Product lab

Practice the decision, not the prompt.

Short practices use real artifacts: the made-up number in the draft, the customer data pasted into a prompt. Every practice ends in an action, not a quiz.

01 · Simulate

Customer escalation

Decide what the model can keep, what must change, and what needs verification.

02 · Diagnose

Evidence behind the result

See the exact decision pattern, the cited signal, and the gap that needs attention.

03 · Practice

Targeted six-minute follow-up

Work on the weakness that surfaced, then run the capability again under a new variant.

01

Simulate real work

“The email your manager asked for”, “urgent incident”, “price objection”. People make the calls in flows they already own.

02

Catch the cost before it ships

Your team finds the hallucination or risky handoff before it reaches a customer, sensitive data, or a campaign.

03

Measure what changed

Assign targeted practice and re-assess to see what moved, backed by cited evidence.

Why Itera

Your team already uses AI.
Nobody is checking their judgment.

Prompting is the part everyone teaches. The harder part is choosing what to hand over in the first place, and judging what comes back. That is what we measure.

Nine-stage process

From company context to measurable adoption.

Follow the evidence from the work your people do to the readiness your managers can defend.

  1. 01

    Company

    Your company, your roles.

    Itera starts with your organization and the work it owns.

    Output · Organization context
  2. 02

    Roles

    Sales. Marketing. Finance. Operations.

    Each role receives a scenario built around decisions from that function.

    Output · Role assignment
  3. 03

    AI simulations

    Fifteen minutes. A real decision at the end.

    People choose what to hand off, verify, stop, or escalate.

    Output · Session evidence
  4. 04

    Evaluation

    Six dimensions, with evidence.

    Every result stays tied to observable choices and cited signals.

    Output · Evaluation report
  5. 05

    Adoption data

    Where AI is used and avoided.

    The workflow reveals both over-reliance and missed opportunities.

    Output · Adoption profile
  6. 06

    Skill gaps

    The gap is specific, not general.

    Itera identifies the exact decision pattern that needs attention.

    Output · Gap report
  7. 07

    Targeted practice

    Practice the weakness that surfaced.

    A short exercise addresses that gap without interrupting the workday.

    Output · Practice queue
  8. 08

    Manager dashboard

    One view of who is ready and who is not.

    Managers see readiness, evidence, risk events, and the next action.

    Output · Dashboard
  9. 09

    Measured change

    Re-simulate and compare.

    A new variant shows what changed and what still needs work.

    Output · Change report

For managers

The dashboard that tells you who is ready for AI and who is not.

See who decides well, where the team needs support, and assign the right practice with one click.

See the manager dashboard
Team overviewAI readiness
Sample data
64/100AI readiness
6/8Assessed
11Risk events
Team readiness · anonymized team members
anonymized team members: V94%
anonymized team members: A89%
anonymized team members: D72%

Product format

Small sessions. Defensible evidence.

Four parts of one continuous system, centered on the decisions your team makes with AI.

IteraOne continuous loopSimulate · diagnose · practice · re-simulate
Assessment15 min

One real case

A short role-based simulation ends in a real decision, not a generic quiz.

Evaluation6 dimensions

Evidence behind every result

Judgment, context, data, AI execution, validation, and impact stay tied to observable evidence.

Practice~6 min

Fits inside the workday

Targeted practice addresses the exact weakness surfaced without interrupting the team rhythm.

CoverageContinuous

Evolves as AI ships

New scenarios keep assessment and practice aligned with the way AI changes at work.

Organizations with high shadow-AI use averaged $670K more in breach costs — IBM, Cost of a Data Breach Report 2025.

Pricing

Plan the investment for your team.

Choose your team size. The tier and per-person price update automatically from Itera's current billing model.

  • Role-based simulations and practice
  • Manager dashboard and cited evidence
  • Monthly or annual billing · cancel anytime
Team size25 people
Billing period

12 months for the price of 10 · 12 months of access

Estimated investment · Business$32,250 USD

$129 USD per person / month · estimated annual total

  • Team
    $1491–19
  • Business
    $12920–49
  • Business+
    $10950–99
  • Enterprise
    $89100+
Request a team quoteUSD before taxes · calculated from Itera's current pricing model.

Early design partners

Built with teams in the room.

Design partner · Professional services

Ponte

Feedback on role-based AI practice for client-facing advisory work.

Design partner · Legal services

Aurea

Feedback on realistic review habits and clearer operating boundaries.

Design partner · Healthcare

Serena

Feedback on protected context and verified decisions.

About us

Built around a simple belief: AI readiness has to be observable.

Itera helps teams move beyond courses and self-reported confidence. We measure how people actually decide with AI, then turn the evidence into practice.

Santiago Rosado, Co-founder at Itera
Co-founder

Santiago Rosado

Building Itera to make AI fluency observable, actionable, and measurable inside real teams.

Pablo, Co-founder at Itera
Co-founder

Pablo

Building the product and operating system that turns everyday AI decisions into defensible evidence.

LinkedIn

AI fluency, measured

Find out where your team actually stands.

Run one real case, see the evidence it produces, and know exactly what to improve next.

Try a 5-minute decisionSee the manager dashboardNo signup · then inspect the manager dashboard · request a demo when ready