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AI Enablement Analysis: Executive Overview

Read as of 1 October 2026 · Q3 2026

Where we stand

People who joined and are Proficient or above

75% up 1 points since last quarter

157 of 250 people have joined.

Proficient led, and steady. Sales has an adoption gap. Customer Success Tier 2 is the pattern to copy.

Where the 157 people who were read sit
Novice: 0 people, 0% 0% Novice Functional: 39 people, 25% 25% Functional Proficient: 73 people, 46% 46% Proficient Advanced: 32 people, 20% 20% Advanced Native: 13 people, 8% 8% Native

Tools in shipped work

Hold this against the invoice.

Which tools show up in published projects, and how often that was verified from the code or the platform rather than typed.

  • Claude 8 projects · 1 verified
  • Google Sheets 2 projects · 1 verified
  • HubSpot 2 projects · 2 verified
  • Lovable 2 projects · 2 verified
  • Notion 2 projects · 0 verified
  • Zapier 2 projects · 2 verified
  • Airtable 1 project · 0 verified
  • ChatGPT 1 project · 0 verified
  • Claude Code 1 project · 1 verified
  • Cursor 1 project · 1 verified
  • Figma Make 1 project · 0 verified
  • GitHub 1 project · 1 verified
  • Make 1 project · 0 verified
  • n8n 1 project · 1 verified

Are we getting better

Share at Proficient or above, by quarter · Whole company Dashed lines are your programs
100% 50% 0% Check before you ship workshop Q4 2025: 59% of 104 people read 59% Q4 2025 Q1 2026: 73% of 135 people read 73% Q1 2026 Q2 2026: 75% of 157 people read 75% Q2 2026 Q3 2026: 75% of 157 people read 75% Q3 2026

Movement since last quarter · Whole company

13%

Moved up a band

83%

Held

4%

Moved down

Of the 157 people with a read in both quarters.

Your programs, and what moved

  • Check before you ship workshop · Marketing · Q2 2026

    Marketing Diligence is up 2.0 since Q2 2026.

Log a move below and it lands here as a marker. Next quarter, this card says whether it moved the number.

Where the gaps are

Every department by the five D's

Org chart order. Click a department to see its teams. Nothing here names a person.

Swipe sideways to see all five dimensions.

Department Description Discernment Diligence Delegation Delivery Joined Read Trend
Sales 58 people Functional Functional Functional Functional Functional 32 of 58 Adoption gap Flat
Marketing 44 people Advanced Functional Advanced Advanced Advanced 32 of 44 Skill gap: Discernment Flat
Customer Success 36 people Advanced Advanced Advanced Advanced Advanced 29 of 36 Stronghold Flat
Product and Engineering 60 people Advanced Proficient Proficient Proficient Proficient 39 of 60 Steady Flat
People and Operations 28 people Proficient Proficient Proficient Proficient Proficient 17 of 28 Steady Flat
Click a department above to see its teams. Teams show up only when five or more people have joined.

Strongholds, and what they do differently

The teams to copy. The habits below are read from their work, against the company as a whole. The mentors are the people from these teams who chose to be on the Champions wall.

Customer Success, Tier 2

Stronghold

13 people read · 100% at Advanced or above

  • Checks before shipping 80% · company 55%
  • Hands the AI the work and gets results back 40% · company 22%
  • Uses Projects 62% · company 37%
  • Uses deep research 31% · company 25%
  • Work that shipped 81% · company 71%

Ask them

Recommended next moves

Three moves, built from the gaps above. Each names a team and the dimension it should move. None is assigned to a person. Log one and it lands on the trend line.

  1. 1 Skill gap: Discernment

    A Discernment workshop for Marketing

    Pair Marketing with Customer Success, Tier 2, the team where judging the output is already the habit. Start with Demand Gen, the team where it sits lowest.

    Expect: Discernment up one band within two periods

  2. 2 Adoption gap

    Start here for Sales

    26 of 58 have not joined, and the people who did sit at Functional across the board. Run a one hour start here session and a weekly office hour.

    Expect: Coverage first, then Description

  3. 3 Checks lag delegation

    A checking habit for Sales Engineering

    Sales Engineering hands the AI real work and checks the output 32% of the time. Add one check step before anything ships.

    Expect: Diligence moves first, then Discernment

Department Champions

People who said ask me

Everyone here chose to be here and can leave any time. Newest first. No order by score. Click a card for a profile preview.

Native

Priya Natarajan

Senior Support Lead · Customer Success, Tier 2

Checks the AI's answer against the ticket before anything goes out.

ClaudeZapierNotion

Ask me about: Turning support macros into drafts a human checks

Open profile preview

Advanced

Marcus Oyelaran

Customer Success Manager · Customer Success, Tier 2

Hands the AI the whole account history, then asks it to argue the other side.

ClaudeLovableHubSpot

Ask me about: Spotting renewals that are going quiet

Open profile preview

Advanced

Hana Lindqvist

Content Lead · Marketing, Brand and Content

Briefs with the audience, the one thing to say, and what not to say.

ClaudeLovableFigma Make

Ask me about: Briefs that come back right the first time

Open profile preview

Advanced

Tomas Reyes

Product Manager · Product

Asks for the test plan before the build, then makes the AI run it.

Claude CodeCursorGitHub

Ask me about: Going from a spec to a working first version

Open profile preview

Proficient

Aisha Mahmood

People Operations Partner · People

Keeps a project per process so the AI never starts from zero.

ClaudeGoogle SheetsZapier

Ask me about: Automating the onboarding checklist

Open profile preview

Advanced

Ben Okafor

Solutions Engineer · Sales Engineering

Builds the demo reset once, then lets the automation run it every night.

Clauden8nHubSpot

Ask me about: Demo environments that reset themselves

Open profile preview

Proficient

Lucia Ferrante

Finance Analyst · Finance

Pastes the numbers, never the names, and checks every total twice.

ChatGPTGoogle Sheets

Ask me about: Month end close without the late nights

Open profile preview

Advanced

Sam Whitaker

Operations Manager · Operations

Turns every repeated request into a form, then into an automation.

MakeAirtableClaude

Ask me about: Vendor intake that runs itself

Open profile preview

How to read this

  • Built from verdicts only: five scores and a band per read. Conversations never leave your AI platform and are never stored here.
  • Every cell is at least 5 consenting people. Smaller groups show as a count needed, never as a number.
  • Nobody appears by name unless they chose to, and they can leave any time.
  • No activity counts. We measure how well, not how much.
  • The keen join first, so a department with low coverage reads better than it is. The Early read tag and the joined count on every row are there for that reason.

Read as of 1 October 2026 · Rubric 7.24.1 · Read by Claude Sonnet 5 · The people and the projects on this page are made up for the demo.