See who in your company is at 1× and who is at 10× with AI — in every role — with quality held and the cost per unit of work signed by finance. Then move everyone up.
Read-only in a day · nothing installed · your number every day · the close signed every month
Flip the switch · directional ◌ — live every day on your own index from week one
Read from the systems you already run — GitHub, Zendesk, Salesforce, NetSuite — never a survey. It only counts when quality held. Engineering, support, sales, finance, legal, marketing, healthcare.
Every vendor sells a seat and reports a login. Every department has a story. Nobody has one number per person, in every role, that says how much more work got finished — and whether it was any good. So the board hears "adoption is 80%" and the CFO sees a bill that grows every month.
Seats bought, seats active, prompts per day, a survey that says people "feel more productive". Eight tools, eight dashboards, none of them about finished work.
Seats plus consumption, across a dozen vendors, allocated by department weeks after the fact, with no link to what was produced.
Everyone knows who the AI-native people are. Nobody knows what they do differently, or how to move the other forty.
Simple on paper. In practice it needs three answers that live in three different places:
of leaders do not measure AI impact at all — while 88% of teams use AI daily or weekly » LinearB
tasks per developer up — and bugs per developer up more. Speed without quality is not a multiplier » Faros AI
the spread between the most and least AI-fluent people in the same role, same company ◌ — the largest unmanaged gap in the business
enterprises with one multiplier per person across every role, quality held, cost attached, signed by finance ◌
Read-only access to two systems of record — say GitHub + Jira, or Zendesk — and the admin analytics your AI tools already expose. Nothing on anyone's laptop.
Every department's multiplier, the seats producing nothing extra, the 10× people in each role. Free. Yours to keep.
Cost per unit of work on one department, quality held, under a method agreed on one page first. Also yours to keep.
The first department's median up a rung with quality held — or the pilot fee is waived and we publish why.
The multiplier is measured from finished work. The rung is read from how the person works with AI — how much they delegate, how much they verify, how many agents they run. The rung predicts the multiplier, which is why it can be taught.
Does the work by hand. AI is open in another tab. The baseline the role had before AI.
AI drafts, the person finishes. Faster first drafts, same review load, same queue.
The person directs agents, reviews their output in batches and keeps the quality bar. Most of the company can get here in a quarter.
Runs a fleet. Reviews exceptions. Writes the playbook the rest of the role copies. The person the company is ranked around.
Four sample people · simulated for illustration ◌ — your index runs on your own systems
The index is the same everywhere: finished units ÷ baseline, quality held, cost attached. What changes per branch is which system we read and what "finished" means. Software Intelligence is the first branch and the deepest — the one with agents writing a quarter of the work already.
TodayOpens Zendesk, sees ticket counts. Opens the AI vendor's console, sees seats and prompts. Guesses that EMEA is better because the team lead says so.
TodayEleven invoices, allocated by headcount, defended with an adoption slide. The board asks for ROI; finance has a bill and a feeling.
TodaySuspects the new AI dashboard is a leaderboard. Hears nothing about what the fast people on the team do differently. Review queue is three days deep.
Simulated for a 2,400-person company ◌ — engineering, support, sales, finance, legal, marketing and a revenue-cycle team. Your own data replaces every figure from week one.
| # | Department | People | Median | Top decile | ≥3× | Quality | Cost / unit | Trend |
|---|---|---|---|---|---|---|---|---|
| 1 | Engineering | 612 | 3.1× | 9.8× | 41% | revert 1.9% | −61% | ▲ +0.4 |
| 2 | Customer Support | 480 | 2.8× | 9.1× | 36% | reopen 6.2% | −57% | ▲ +0.6 |
| 3 | Finance & AP | 96 | 2.6× | 10.1× | 29% | corrections 0.9% | −54% | ▲ +0.3 |
| 4 | Marketing | 140 | 2.2× | 11.4× | 22% | engagement −4% | −41% | ▲ +0.2 |
| 5 | Legal | 38 | 1.9× | 6.8× | 16% | escalations 0 | −33% | ▲ +0.2 |
| 6 | Recruiting | 44 | 1.8× | 7.2× | 14% | 90-day retention held | −29% | ▲ +0.1 |
| 7 | Sales & SDR | 320 | 1.4× | 8.9× | 9% | show-rate −11% | +6% | ▼ −0.1 |
| 8 | Revenue Cycle (clinic) | 72 | 1.2× | 5.6× | 6% | first-pass 96.4% | −8% | — new |
| # | Team | Dept | People | Median | ≥3× | Quality | Cost / unit | Trend |
|---|---|---|---|---|---|---|---|---|
| 1 | Tier-1 Support · EMEA | Support | 62 | 4.2× | 58% | reopen 5.1% | −68% | ▲ +0.9 |
| 2 | Backend Platform | Engineering | 48 | 3.9× | 54% | revert 1.1% | −71% | ▲ +0.5 |
| 3 | Accounts Payable · US | Finance | 31 | 3.5× | 45% | corrections 0.6% | −62% | ▲ +0.4 |
| 4 | Mobile | Engineering | 36 | 2.9× | 39% | revert 2.4% | −55% | ▲ +0.3 |
| 5 | Content Studio | Marketing | 22 | 2.5× | 27% | engagement −6% | −44% | ▲ +0.2 |
| … | 74 teams ranked · full list in the app | |||||||
| 73 | Enterprise SDR · West | Sales | 28 | 1.1× | 4% | show-rate −18% | +14% | ▼ −0.2 |
| 74 | Coding · Outpatient | Rev Cycle | 19 | 1.0× | 0% | first-pass 97% | 0% | — new |
| # | Role | People | Baseline (1×) | Median | Top decile | Gap 10×/median | Playbook |
|---|---|---|---|---|---|---|---|
| 1 | AP analyst | 68 | 420 invoices / mo | 2.9× | 10.1× | 3.5× | v3 · 4 steps |
| 2 | Support agent · tier 1 | 360 | 38 tickets / wk | 2.8× | 9.1× | 3.3× | v4 · 5 steps |
| 3 | Backend engineer | 290 | 16 merged PRs / mo | 3.0× | 9.8× | 3.3× | v5 · 6 steps |
| 4 | Content marketer | 52 | 6 assets / mo | 2.3× | 11.4× | 5.0× | v2 · in review |
| 5 | Contracts counsel | 22 | 14 contracts / mo | 1.9× | 6.8× | 3.6× | v2 · 3 steps |
| 6 | SDR | 240 | 11 qualified meetings / mo | 1.3× | 8.9× | 6.8× | v1 · quality gate first |
| 7 | Medical coder | 41 | 310 claims / mo | 1.1× | 5.6× | 5.1× | drafting |
Rankings are by department, team and role. Individuals are ranked only where the company's policy allows it — and every person sees their own number before anyone else does. The gap column is the product: the distance between the 10× people and the median is what the playbook closes.
99 tickets resolved against a role baseline of 38 · reopen 5.8% (bar 8%) · CSAT 4.6 held · cost per ticket $2.10, was $6.40.
Rung: Assisted → Operator. You draft with AI on 91% of tickets and run one agent on refunds. The people at 9× in your role run four.
The person sees this every day, before their manager does, and chooses who else sees it. The index never says "work harder" — it says what the people at the top of your role do differently, and what it would be worth to you.
| Step | What the 10× people do | Share of top decile | Share of 1× people | Lift when adopted | Quality effect | Status |
|---|---|---|---|---|---|---|
| 1 | Let the triage agent route and summarise every ticket; review the summary, not the thread | 100% | 12% | +0.8× | reopen unchanged | LIVE · 212 people |
| 2 | Run order-status and refund agents in parallel; approve in two batches a day | 96% | 6% | +0.6× | reopen +0.4 pts · within bar | LIVE |
| 3 | Write the answer once as a macro the agent reuses; never retype | 91% | 22% | +0.3× | CSAT +0.1 | LIVE |
| 4 | Escalate by exception: only tickets the agent marks uncertain | 88% | 9% | +0.4× | reopen −0.3 pts | ROLLING OUT · 80 people |
| 5 | Cap batches at 30 tickets | — | — | — | keeps reopen under 8% | GUARDRAIL · from the rollback |
The playbook is not written by us. It is read from what the top of each role already does and proven on the people who adopt it — with the quality effect measured, and any step that hurts quality withdrawn. One playbook per role, per company; versioned, approved by the department head.
| Who / what | Rung | Merged PRs / mo | Multiplier | Agents run | Revert · debt | Cost / PR | Next step |
|---|---|---|---|---|---|---|---|
| Top decile (5 engineers) | Orchestrator | 160 | 9.8× | 5 | 1.0% · $0.4K | $19 | writes the playbook |
| Team median | Operator | 62 | 3.9× | 2 | 1.1% · $0.6K | $41 | step 3 · batch review |
| Bottom quartile (12 engineers) | Assisted | 29 | 1.8× | 0 | 2.6% · $2.1K | $88 | step 1 · run the deps agent |
| claude-code cloud #a7 · agent | owner J. Ortiz | 412 runs | — | — | 1.2% · 0 incidents | $2.10 / run | 1 in 10 reviewed |
| codex-deps · agent | owner R. Patel | 318 runs | — | — | 0.3% · 0 | $0.60 / run | auto-merge · earned |
| devin · trial · agent | owner S. Okafor | 40 runs | — | — | 4.8% · 1 incident | $18.40 / run | review every · trial ends Nov |
The deepest branch: the agents are on the same ladder as the people, with an owner, a cost per run and a review level earned on their own record — and every merged PR carries its priced debt. Individual engineers appear as deciles here; each engineer's own line is in their person view. What else this branch carries →
| Team | People | Median | ≥3× | Tickets / agent-wk | Reopen | CSAT | Cost / ticket | Playbook adoption |
|---|---|---|---|---|---|---|---|---|
| Tier 1 · EMEA | 62 | 4.2× | 58% | 160 | 5.1% | 4.6 | $1.70 | 92% |
| Tier 1 · US | 140 | 3.0× | 39% | 114 | 6.4% | 4.5 | $2.40 | 71% |
| Tier 1 · APAC | 96 | 2.2× | 21% | 84 | 6.9% | 4.4 | $3.30 | 44% |
| Tier 2 · technical | 110 | 2.0× | 18% | 52 | 7.1% | 4.6 | $9.80 | 58% |
| Billing | 72 | 1.5× | 8% | 57 | 9.4% | 4.2 | $5.10 | 22% · quality gate first |
Billing is the warning: volume rose, reopen rate crossed the bar, so its multiplier is held at 1.5× until quality recovers — the index never rewards speed that comes back. EMEA wrote the playbook; APAC is adopting it.
| Team | People | Emails / SDR-wk | Qualified meetings / mo | Multiplier | Show-rate | Spam complaints | Cost / meeting | Verdict |
|---|---|---|---|---|---|---|---|---|
| Mid-market · East | 40 | 620 | 31 | 2.8× | 71% | 0 | $150 | top-decile pattern |
| Enterprise · West | 28 | 1,900 | 12 | 1.1× | 52% | 14 | $410 | volume without quality · held |
| SMB · inbound | 60 | 310 | 44 | 2.2× | 78% | 1 | $96 | operator rung |
| Enterprise · East | 32 | 1,400 | 14 | 1.3× | 58% | 6 | $360 | quality gate first |
Sales is where every AI-productivity dashboard gets fooled: 9× the emails is not 9× the pipeline. The index counts the meeting that was held and the deal that closed, discounts the no-shows, and flags the team whose "multiplier" is a spam problem.
| Team | People | Invoices / analyst-mo | Multiplier | Corrections | Duplicate payments caught | Cost / invoice | Rung |
|---|---|---|---|---|---|---|---|
| AP · US | 31 | 1,470 | 3.5× | 0.6% | 41 · $218K | $1.40 | Operator |
| AP · EMEA | 24 | 1,050 | 2.5× | 0.9% | 18 · $64K | $2.10 | Assisted → Operator |
| Expense & T&E | 13 | — (reports) | 3.1× | 1.1% | — | $0.80 / report | Operator |
| GL & close | 28 | — (reconciliations) | 2.0× | 0.3% | — | $31 / rec | Assisted |
Finance is the branch finance people trust first, because the unit is unambiguous and the correction is already logged. The CFO's own department is ranked on the same index the CFO signs — which is why the close screen exists.
| Contract type | Volume / mo | Counsel | Multiplier | Days to execute | First-time acceptance | Escalations | Cost / contract |
|---|---|---|---|---|---|---|---|
| NDAs | 310 | 4 | 7.1× | 0.8 | 94% | 0 | $22 |
| Vendor MSAs | 64 | 6 | 2.6× | 6 | 79% | 0 | $240 |
| Customer agreements | 88 | 8 | 2.0× | 9 | 74% | 2 | $410 |
| Employment & equity | 120 | 3 | 2.3× | 2 | 88% | 0 | $60 |
Legal's multiplier comes from fewer rounds, not faster drafting — the index counts the contract when it is executed and the redline when it is accepted, and treats an escalation to outside counsel as the quality miss it is.
| Team | People | Assets / mo | Multiplier | Engagement / asset | Pipeline / asset | Cost / asset | Verdict |
|---|---|---|---|---|---|---|---|
| Content studio | 22 | 58 | 2.5× | −6% | held | $290 | operator · watch engagement |
| Demand gen | 31 | 112 (campaign variants) | 3.3× | +2% | +9% | $140 | top-decile pattern |
| Product marketing | 18 | 21 | 1.8× | +1% | held | $680 | assisted |
| Social | 9 | 540 posts | 1.5× | −19% | −22% | $9 / post | volume without quality · held |
Marketing is where "10× more content" most often means 10× more noise. The index counts the asset only with its engagement and pipeline beside it — social is held at 1.5× until its numbers recover, demand gen earns 3.3× because its pipeline per variant went up.
| Team | People | Units / person-mo | Multiplier | First-pass | Denials overturned | Days in A/R | Cost / unit | Rung |
|---|---|---|---|---|---|---|---|---|
| Coding · inpatient | 22 | 390 claims | 1.3× | 96.8% | — | 41 | $6.40 | Assisted |
| Coding · outpatient | 19 | 310 claims | 1.0× | 97.0% | — | 38 | $6.80 | Works alone |
| Denials | 17 | 140 denials | 2.0× | — | 61% | −6 | $18 | Operator |
| Prior auth | 14 | 260 auths | 2.4× | — | — | −9 | $11 | Operator |
In healthcare the quality bar is regulatory: a claim counts only when it is accepted first pass, and a coder's multiplier never rises on claims that come back. Denials and prior auth are where the operator rung arrives first; coding follows once the playbook from the three 5.6× coders is approved by compliance.
Every figure replays from raw events under the frozen method. The CEO's multiplier, the department head's ranking and the CFO's cost per unit are the same numbers on the same page — which is what lets one close carry all three.
Eight seats. You give us read-only access to two systems of record and a named finance owner; we give you the X-Ray — every department's multiplier, every person's own number, the 10× playbook for your first role — and a signed cost per unit of work on one department in four weeks, yours to keep whether or not you continue. Pricing locked for three years. The day-90 bar is in the contract.
Every engineering-metrics tool on the market counts what humans did in Git and correlates it with AI seats. VibeSense puts engineers and coding agents on one ladder, prices every merged PR all-in, and acts on it. Eight things you get in this branch that you cannot buy elsewhere:
Tokens + author minutes + reviewer minutes + rework + incidents, per PR, per team, trended against the pre-AI baseline. Signed by finance.
Copilot agents, Cursor cloud agents, Claude Code, Codex, Devin, your own: owner, scope, cost per run, merge rate, defect rate. Agents are workers with managers.
Review-every → 1-in-4 → 1-in-10 → auto-merge, per agent per task class, on its own merge and revert record. Withdrawn the moment quality drifts. A CTO can sign it.
Duplication, churn, rework and incidents traced to the PR and the agent that wrote it, priced with your rates. A 40% throughput gain shows its liability beside it.
Agent PRs wait 5× longer for review » — the 2027 bottleneck. Routed by reviewer load and expertise, batched when small, merged on their own when earned. Pushed to the tools you run.
Which agents they run, how they batch review, what they never hand to a model. Read from the top decile, proven on adopters, versioned. The bottom quartile's next step, every Monday.
"Four engineers or forty agent-hours a month on tier-2 bugs?" — answered from your own cost per PR, defect rate and review capacity, not a vendor's claim.
Which model clears the bar in this repo, who can review today, what the budget and the debt threshold are — served to the agent before it opens a PR, and a receipt written after. The first intelligence platform agents depend on.
You are a fit if three things are true: 500 or more people in roles with a system of record (engineering, support, sales, finance, legal, marketing, recruiting, revenue cycle) · AI tools already bought for them · a finance lead who closes the month.
Your multiplier today and this month so far, quality held, and the next step from the 10× people in your role — in Slack, Teams or email, before anyone else sees it.
Which teams moved up a rung this week, which were held for quality, and the seats still at 1× — one page, Monday morning.
Every department's multiplier from finished work, every person's own number, the seats producing nothing extra, the 10× people in each role — and today's cost per unit of work on one department. Yours to keep.
The unit, the system it is read from, the quality bar, the baseline, the cost sources and the ranking policy — on one page, signed by your maker and checker before anything is measured.
What the top decile of each role does differently, as the next three steps for everyone else — proven on adopters, with the quality effect measured, approved by the department head.
Departments, teams and roles on one ladder, with quality beside the multiplier, movers and holds called out, and the gap between the top and the median per role.
AI spend by department reconciled to invoices; finished units; cost per unit; capacity unlocked; seats producing nothing; e-signature and journal entries.
Where your median and your top decile sit, per role, against companies of your size — anonymised, method published.
The index ranks the enterprise because that is what moves it. It does not become a weapon, because five rules are built in and published on the method page every employee can read.
Every multiplier is shown to the person before anyone else, with what it is made of. They choose who else sees the individual line.
Individual rankings exist only where the company's written policy allows them — and never as the default.
No multiplier rises on work that came back. Volume without quality is held at the rung it earned — which protects the careful person from the fast one.
We read events — finished, reopened, reverted, accepted. No documents, code, prompts or messages are stored.
The index never says "do better". It says what the people at the top of your role do, and what it is worth to you. The gap is a lesson, not a verdict.
Cost per run, merge rate, defect rate and review level are tracked per agent — because an agent is a tool with a budget, and the people who run it deserve to know which ones are worth it.
Two systems of record to start — say GitHub + Jira, or Zendesk — plus the admin analytics your AI tools already expose. Nothing is installed on anyone's laptop.
We show every department's multiplier, the seats producing nothing, the 10× people in each role. Together we fix the unit, the quality bar, the baseline and the ranking policy for the first branch on one page.
Finished units joined to their quality outcome; baselines pre-registered; the first role's top decile read and its playbook drafted. Every person opens their own number first.
On one department, with its interval, the ranking of its teams and roles, and the first playbook approved and rolling out. The report is the sale.
A signed number exists, and either the department median is up a rung with quality held or the whole company is ranked with every role's playbook drafted → annual.
The day-90 bar, in the contract. By day 90 a signed cost per unit of work exists on your first department, and either its median multiplier is up with quality held or the whole company is ranked on one ladder with the first playbook live → annual contract and a named case study. Below the bar — the pilot fee is waived and we publish that too. You keep the X-Ray and the method page either way.
One thing we can both count: people on the index. Branches attach inside the same contract. If the median stops rising with quality held, you stop paying.
Every role with a system of record: the multiplier per person, team and department; quality held; the enterprise ranking; the person view; the 10× playbook per role; the method page; the monthly ranking and benchmark; exports to BI and FinOps.
Cost per merged PR all in, the agent roster, earned autonomy, the priced debt ledger, review routing, the engineer playbook, hire-or-multiply planning, the agent intelligence API. Economics add-on (cost per unit by department, the signed close, ERP posting) +$40–150K / yr ◌. Other branches: inside the Index price.
| Estate | People on the index | Branches | Indicative annual fee ◌ | What you sign by month 6 ◌ |
|---|---|---|---|---|
| Growth | 500–2,000 | 1–2 | $90–360K | one department signed · its median up a rung · first playbook live |
| Mid-market | 2,000–10,000 | 3–5 | $360K–1.8M | the company ranked · three playbooks · the close posted to the ERP |
| Enterprise | 10,000+ | any | $1.8M+ | the AI line of the P&L · VPC or on-prem · benchmarks by division and country |
| Design partners | any | any | $5K / mo pilot → annual | the X-Ray and the signed number free · pricing locked three years · the day-90 bar in writing |
A counterfactual is a claim about a world that no longer exists — models change monthly, agents get better weekly, your teams change every quarter — and every renewal becomes a baseline debate. So the proof of value is your own index: the multiplier per department, month over month, quality held, cost per unit reconciled to the invoices you actually pay, under a method you signed before we measured.
Most companies discover the same thing: the gap between their median and their own top decile is worth more than any AI vendor's roadmap. A seat count cannot see that. The index can.
Finished units and their quality outcomes are read from here — never self-reported, never surveyed.
We read the admin analytics each one already exposes, so the rung is known per person. Nothing new on a laptop.
Roles and loaded rates join from HR; AI spend reconciles to invoices; the close posts to the ERP. Nothing changes for finance except that the number now exists.
The daily person view, the playbook step and the ranking go where people already are. The index is an API your own tools — and your agents — can read.
We onboard one company at a time. Seats are held 7 days pending the scoping call. Five conversations are in progress ◌ — each carries its true stage; nothing reads "signed" unless it is.
No credit card. No commitment until the pilot agreement. The X-Ray and the method page are yours to keep either way.
The 30 minutes cover three things: which department gets the first number · which systems record its finished work · who on the finance side signs it. No slides.
A person sees this the moment it arrives. A confirmation lands in your inbox with the scoping-call link — your seat is held for 7 days.