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Adoption intelligence

Cost data tells you what was consumed. Adoption intelligence tells you whether it worked. Using the same attribution graph that powers chargeback, Venturi shows which teams and functions have genuinely embedded AI into their daily work, where adoption is lagging, and whether your enablement investments are producing behavioral change — as privacy-preserving cohorts, never as individual surveillance.

What you get

  • Adoption depth by team, function, role, and tenure — the second projection of the attribution graph, built from the same deployment as cost.
  • Tooling gain/loss: which AI tools are gaining traction and which are being abandoned.
  • Program ROI signal: cost per active adopter, adoption trajectory, and where enablement investment is warranted — each figure shown with the active-adopter threshold it rests on.
  • A signed, reproducible board-pack that bundles the cohort metrics, their signal-type mix, and the privacy gating into one defensible artifact.

The question it answers

A platform that produces only cost attribution leaves half the value of the graph unrealized. Knowing that AI spend is concentrated in three engineering teams, absent in support and marketing, and declining among tenured staff after an initial spike tells leadership what to do next — not just what was spent. This is the buyer motion for the CTO, CHRO, and Chief People Officer: it answers whether AI training investments are landing and where enablement budget should follow traction.

Cohort-only, by design

Adoption intelligence is cohort-only. Venturi reports adoption by group — team, function, role, or tenure band — and applies a strict minimum-cohort rule:

Minimum cohort size: k = 5

No cohort smaller than five members is ever displayed. Sub-k cohorts are suppressed and rolled up into their parent unit, and Venturi blocks reconstruction of an individual by differencing across overlapping cohorts. This rule holds across dashboards, shared views, and exports — sharing a view never reveals a suppressed cohort to a recipient.

This is not a configuration toggle that can be loosened in the UI:

  • Individual-level views are never a UI switch. They are gated per tenant behind written legal sign-off plus a Data Processing Agreement amendment.
  • Off in the EU regardless. Individual-level adoption views are hard-disabled for EU data, independent of any tenant setting.
  • No emotion or sentiment inference. Venturi measures usage patterns, not feelings, and performs no emotion inference of any kind.

The cohort-only posture is what keeps adoption intelligence out of profiling entirely. Venturi ships the supporting DPIA template and works-council pack with the product so your privacy and works-council reviews start with the right materials in hand.

Access is role-gated and auditable

Adoption views are reachable only through a dedicated Workforce-Data role, assigned to the executive/people buyer (CTO, CHRO, Chief People Officer). The role is read-only with respect to attribution and policies, and like every grant in Venturi it is scoped, auditable, and fails closed — if a role isn't explicitly granted the workforce-data scope, the views simply aren't reachable.

When a workforce cohort is shared or appears in a report, it re-renders under each recipient's own access: a non-workforce recipient sees the cohort suppressed or rolled up, and EU-gated rows stay hidden. Sharing never escalates privilege.

What the signals mean

Every adoption signal carries its basis so you can weigh it honestly:

Signal basis What it reflects
Direct Observed usage from request-level events or first-party logs.
Inferred Adoption inferred from attributed activity where direct signal is partial.
Estimated A weaker, clearly-marked signal where coverage is thin.

Adoption is confidence-normalized, and the dashboard distinguishes operational lag from observability lag — so "low adoption" is never confused with "a visibility gap." If a team looks quiet because a connector is stale rather than because they stopped using AI, Venturi tells you which it is.

Board-ready by construction

Adoption intelligence is built to survive the room where it matters most: the board meeting where a CTO, CHRO, or Chief People Officer defends an enablement-budget decision. Every program-ROI figure carries the assumption it rests on, every readiness signal names its baseline, and the whole picture exports as a single signed artifact — so the first hard question doesn't unravel the number.

Every ROI figure shows its cut-line

There is no hidden definition of "active." Wherever you see a cost per active adopter, a concentration figure, or an adoption trajectory, the surface shows the active-adopter threshold in effect right beside it, labelled by where it came from:

Threshold provenance What it means
Default (illustrative) A starting threshold Venturi ships so the figure is never blank — clearly marked as not yet tuned to you.
Customer-calibrated A threshold you set for your organization, so "active" means what your leadership agreed it means.

Each figure also shows a threshold-sensitivity band: the same number recomputed at the brackets either side of the active line, so you can see at a glance whether the result is robust or balanced on a knife-edge. When you change the threshold, that change is a recorded calibration event — who changed it, the old value, the new value, the basis, and when — so "active" never shifts silently underneath a previously-reported number. Ask "what counts as active?" and the answer is on the slide.

Readiness signals name their baseline

The organizational-readiness signal is never a bare "gap." It is measured against a named, declared expectation baseline — the surface states the baseline's method, its inputs, and its confidence. Every cell that reads lower than predicted shows you all four values together:

  • the observed value,
  • the expected value,
  • the baseline method that produced the expectation, and
  • the confidence in that expectation.

When an expectation can't be computed with enough confidence, the cell says so explicitly — an expectation-unavailable state that is visibly different from genuine low adoption and from a k = 5-suppressed cohort. Venturi never invents a gap to fill a cell. The four values reproduce within a stated tolerance from the same data and baseline version, so a reallocation recommendation built on "this function is under-adopting relative to investment" is one you can stand behind when challenged.

Substitution is evidenced, never asserted

Tooling gain/loss draws a clear line between a tool simply declining and a team having switched to an unsanctioned alternative — because those are very different conversations with very different consequences.

A substitution claim is an accusation — so it must be earned

Venturi surfaces "switched to an unsanctioned alternative" only when corroborating shadow-vector evidence supports it, and that evidence is shown with its signal type and confidence (network and shadow signals are capped at 0.70, and that ceiling is on the surface). Without corroboration, you see a decline with cause unconfirmed — and where the drop lines up with reduced observability, Venturi flags possible observability lag rather than implying anyone went rogue. A board never receives an unevidenced shadow-IT accusation from Venturi.

One signed artifact you can put in front of the board

When you're ready to present, Venturi produces a signed, reproducible adoption board-pack — not a dashboard screenshot. Per cohort, the pack bundles:

  • the metric values themselves;
  • the signal-type mix (how many Direct, Inferred, and Estimated signals stand behind each number);
  • the k = 5 suppression manifest — which cohorts were suppressed or rolled up, so the privacy posture travels with the numbers;
  • the confidence-weighting basis and the observability-vs-operational-lag disclosure;
  • the active-adopter threshold and the readiness baseline the figures rest on;
  • the as-of freshness and the graph and version basis; and
  • a tamper-evident signature.

Reproducible, not a snapshot

Because the live graph keeps moving, a screenshot with a date stamp can't be reproduced or audited later. The board-pack can: it is regenerable from the named version, it carries the cohort-only k = 5 privacy gate and the EU individual-level disable inside it, and its signature lets anyone confirm it wasn't altered after the fact. It's the artifact your works-council and DPIA reviews — and your board — can rely on.

Putting it to work

  • Find the gaps. See which functions have meaningfully adopted AI and which haven't, by cohort. Identify functions that need enablement investment.
  • Track the trajectory. Watch whether adoption is growing, plateauing, or declining after an initial spike — by team, role, and tenure cohort.
  • Tie spend to traction. Combine adoption cohorts with attributed cost to reason about cost per active adopter, so enablement budget follows the teams actually embedding AI.
  • Report to the board. Present cohort-level adoption and ROI signal with the same confidence and provenance contract as every other Venturi number — every figure with its active-adopter threshold, every readiness signal with its baseline — and export the whole picture as a single signed, reproducible board-pack.