WUNN · built and run in the field with IO Partners

Your competitors have the same AI.
WUNN makes yours learn your business.

Your AI gets better every week at your questions, your customers, your numbers, and you see it on a benchmark built from your own work. Slow at first, like SEO. Then it compounds into an edge no model release can hand your competitors.

It gets better every week at your questions, customers, and numbers, scored on a benchmark built from your own work. Slow at first, like SEO. Then it compounds.

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Your benchmark score, week over week

day one months → benchmark score → first weeks: it's learning new model: everyone gets it then it compounds your edge with WUNN generic AI day one months → benchmark score → first weeks: it's learning new model: everyone gets it then it compounds with WUNN your edge generic AI

each step: a scored improvement, kept

Your benchmark is the work your business runs on: the questions it needs answered, the jobs its agents do, the reports and lists it produces, each scored against what good looks like. Follow one question from wrong to right ↓

Why

Your company figured it out last spring. Your AI is guessing again today.

  1. Tue · 9:12

    A manager asks your AI Why did renewals slip in Q1? It answers in seconds: confident, well written, and generic.

    Missing: the pricing change your team traced it to last spring, after a week of calls. That answer lives in old chats and two people's heads.

  2. Same morning

    Your competitor gets the same new model you did. It makes their AI exactly as much better as yours.

  3. Fri · 4:30

    Someone asks if the AI is paying off. Nobody can say whether it's any better at your business than last quarter. Nobody wrote down what good looks like.

Next quarter, the same week happens again. Unless your AI learns what your company learns.

What Compounding Looks Like

Wrong in week 1. Right months in. Scored at every step.

Example company · a 200-person HVAC contractor

Benchmark question #1

“Which open quotes should sales chase this week?”

What good looks like, written down first

Ranked by what actually wins work here. Dead quotes dropped. Every reason traceable to a call, a note, or a number.

pass partial miss × rolled back week 1 a few weeks in next try months in pass partial miss × rolled back week 1 a few weeks in next try months in
  1. Week 1 Miss

    “Here are your open quotes, largest first. Start with the hospital retrofit.”

    Generic AI knows sales, not this company. Here, big quotes to new customers rarely close, and the hospital already told a rep it went elsewhere, on a call nobody wrote up.

  2. A few weeks in Partial

    “Start with repeat customers who've had a site visit. Those tend to close here; cold quotes mostly don't.” [sales calls, CRM]

    Finished sales calls have been distilled into memory, with the calls attached. Still wrong: it keeps recommending quotes the customer already turned down.

  3. Next try Rolled back

    Proposed skill: “Chase the oldest quotes first, before they expire.”

    Score down on the benchmark, so it was rolled back before it reached the sales team. The lesson is kept: here, old quotes go cold, and urgency doesn't revive them.

  4. Months in Pass

    “Six quotes worth a call this week, ranked. Dropped: the hospital (chose a competitor, per the rep's call) and two that have gone cold.” [each reason linked]

    Research on the company's own won and lost jobs confirmed the pattern. The new quote list scored higher than the old one, so it was kept. It now builds the weekly sales list.

That's one question. Every item on your benchmark runs the same loop, and none of it resets when a new model ships.

How It Works

One loop, every week. Only what scores better stays.

01 Your team works chats calls meetings reports Nobody logs or tags a thing. finished work distilled + research on your own data 02 Company memory lessons, evidence attached repeat customers close here old quotes go cold hospital quote: open replaced lessons become new skills rolled back, lesson kept 03 Your benchmark every new skill is scored first quote list v2 ▲ score up oldest quotes first ▼ score down score up: kept 04 Skills in use for your people and agents quote list v2 pricing answers weekly report old quote list back into tomorrow's work 01 Your team works chats calls meetings reports Nobody logs or tags a thing. finished work, distilled + research on your own data 02 Company memory lessons, evidence attached repeat customers close here old quotes go cold hospital quote: open replaced lessons become new skills rolled back, lesson kept 03 Your benchmark every new skill is scored first quote list v2 ▲ score up oldest quotes first ▼ score down score up: kept 04 Skills in use for your people and agents quote list v2 pricing answers weekly report old quote list back into tomorrow's work

What you get

Where does your company stand today? Take the AI-Native Test →

Contact

What should your AI know by now, and doesn't?

Test us the way we test everything. Ask your current AI one question your business runs on. If it gets it right, keep what you have. If it doesn't, we'd like to hear the question.

[email protected]