95% of AI pilots go nowhere. We make sure yours isn't one of them.

Getting access to AI is easy.Making it work inside your company is where pilots fail.That's our whole job.

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MIT NANDA / The GenAI Divide / 2025

AI works.But is it working for you?

A capable model isn't the hard part. Your pilot never became part of how the work actually gets done.

  1. Workflow

    You added AI. The workflow stayed the same.

    Why it stalls

    A model sitting on top of the old process changes very little.

    What we change

    We redesign the work with the people who actually do it.

  2. Systems

    The demo worked. Your systems never connected.

    Why it stalls

    Real work crosses data, tools, permissions, and handoffs.

    What we change

    We build the software that joins all of it.

  3. Exceptions

    It handled the easy cases. Your team got the mess back.

    Why it stalls

    Production is made of edge cases—not happy paths.

    What we change

    We engineer the exceptions, checks, and human review.

  4. Measurement

    You shipped a pilot. Nobody knew if it was better.

    Why it stalls

    Without a clear baseline, a pilot can run forever.

    What we change

    We agree on the result first, then test it against real work.

This is what working looks like.

Selected results from systems we built and put into production.

  1. Selected Client Outcomes

    Underwriting preparation time was reduced by 83% — from 2 hours to 20 minutes.

  2. Selected Client Outcomes

    Each underwriter handled 2× more submissions without adding headcount.

  3. Selected Client Outcomes

    Time to first transaction was cut by 76% — from 21 days to 5.

  4. Selected Client Outcomes

    Each onboarding manager handled 2.5× more customers.

  5. Selected Client Outcomes

    Revenue leakage was reduced by 74% — from 3.1% to 0.8%.

  6. Selected Client Outcomes

    $900K in annualized revenue was recovered from missed charges and billing errors.

The 1:1:1 Outcome Loop

Make AI earn its place.

1
OutcomeOne measurable business result at a time.
1
WeekA working prototype in your team's hands.
1
MonthA production system running in the real workflow.
  1. Day 0

    Choose one outcome.

    We agree on the business result before we choose the model.

  2. Day 7

    Working prototype

    Your team tests it on real work within one week.

  3. Day 30

    Running in production

    It is connected to your systems and working inside the real workflow.

  4. After launch

    Improve it every week.

    The dashboard shows what changed, so we know exactly what to improve next.

Days measured from kickoff

  1. Embedded

    We work inside your company.

    Because nobody can build useful AI for your business from the outside.

  2. Your knowledge

    Your team knows what good looks like.

    They know which details matter, where judgment enters, and what a bad decision costs.

    • What good looks like
    • Where judgment enters
    • What errors cost

  3. Build together

    We put our builders next to them.

    Your team explains the work. We turn that knowledge into software and test it with them as we go.

    Your teamExplains the work

    NewgradeBuilds and tests

  4. Real conditions

    We build where the work happens.

    With your real inputs, tools, permissions, and handoffs—not a cleaned-up demo.

    • Inputs
    • Tools
    • Permissions
    • Handoffs

  5. One accountable team

    We stay responsible all the way through.

    The same team learns the work, builds, tests, connects, launches, and improves the system.

    1. Learn
    2. Build
    3. Test
    4. Connect
    5. Launch
    6. Improve

  6. What you get

    Software built around how your company actually works.

    Not another tool your team has to work around.

What should be working better30 days from now?

Give us one measurable outcome. We'll put a working prototype in your team's hands in one week and take it to production within one month.

Start with one outcome