Trust by design

Read-only architecture. Manager-aggregate-only. Surveillance is contractually refused.

Trust here isn't compliance theater added after a security review. It's the architecture of the product — what Lucy sees, what Lucy keeps, what Lucy refuses to keep, and what each role inside your company can see, change, and refuse.

The trust architecture is the single source every audience section below it rests on. Use the links to drill into the role you sit in.

V·C·C — Visibility · Confidence · Control.

V·C·C is the canonical trust contract. Three pillars, each with a technical face (what Lucy is built to do or refuse to do at the code level) and a social face (what that means for the person in the work). Below each pillar, the related user-side controls are named with stage-honest labels. The architecture is the floor; the controls are how each role exercises it. The audience-shaped anchors that follow — manager, works-council, employee — are self-select drill-downs into what V·C·C means for that role.

Visibility

Technical face

Lucy reads the Signal layer (application activity patterns) and the Context layer (subject lines, document titles, calendar event names). Lucy does not read the Content layer (body of email, inside of document) without explicit human invocation of a coaching action. The boundary is enforced at the architecture level.

Confidence

Technical face

Lucy keeps Signal and Context observations within the cohort-size-gated aggregate. Lucy refuses to keep individual session content beyond the active coaching action. Local-processing roadmap: a posture to keep more processing on-device planned.

Control

Technical face

Six user-side controls plus five manager-side controls. Refused-capability scene at the contract level. Deletion is structural — exiting Lucy returns the workforce capability and removes individual-scope retention within 30 days.

Six user-side controls — Control branch

  1. Pause anytime, no reason required

    One click. Stops all collection. Pausing does not log a complaint, does not affect any visible ranking, does not surface to your manager.

  2. Redact what Lucy has observed

    Per-item redaction inside the user-side control panel. Redactions are removed from the personal Coaching Plan and the cohort-aggregate within the next gating window.

  3. "Maybe later" costs you nothing

    Closing a coaching invitation does not escalate, log, or surface. There is no hidden adoption metric per individual.

  4. Delete your personal profile

    Personal Coaching Plan, retained Signal/Context observations, and personal-scope agents — structurally deleted within 30 days of request.

  5. Leave with what you built

    The capability and patterns you built with Lucy go with you — exit returns the workforce capability and removes individual-scope retention.

  6. See what Lucy has on you

    Personal Coaching Plan visibility — every Signal/Context observation Lucy has retained for personalization is inspectable on demand.

What leaders see — bounded by V·C·C.

Leaders see capability formation, opportunity maps, approved-tool adoption, software optimization, and spend reallocation — at team and cohort level. Never private prompts or individual rankings.

Executive visibility is bounded by V·C·C. The Executive Dashboard surfaces named on /business — capability formation, opportunity heat map, approved-tool adoption, Tool Gap Intelligence, software optimization, spend reallocation, bottom-up champion view — all sit on top of the same architectural floor.

See the Executive Dashboard mockup on /business →

What is visible

  • Capability formation by team and cohort
  • Opportunity heat maps (AI-shaped tasks)
  • Approved-tool adoption vs. shadow-AI spread
  • Software optimization signals across the stack
  • Spend reallocation maps
  • Bottom-up champion patterns
Architecturally refused
  • Private prompts & conversations
  • Individual rankings & scoreboards
  • Sub-threshold cohort re-identification

What you see, what you don't, and what you control.

Manager-side trust is the org-side parallel of the V·C·C architecture above. The same architecture that earns adoption from your people is the architecture that bounds what you see and configure as their manager.

What you see. Capability formation across your team. Opportunity maps showing where AI-leverage patterns are repeating. Approved-tool adoption. Pattern-level signal. Aggregate-only-with-cohort-gating: small teams stay opaque even to you. Never private prompts. Never individual rankings.

What you control. Five manager-side controls, paired structurally with the user-side six. All five are planned for GA, they require multi-tenant administration that ships at general availability. Until then, the substance is governed at the architecture level by the V·C·C commitments.

Asymmetry note. The user-side has six controls; the manager-side has five. The structural pairing is intentional; the count asymmetry is honest — there is no fabricated sixth manager-side control to force numerical parity.

Manager-side control
Stage

M · 01 · Decide what your team uses

Approved / Restricted / Banned tools shape what Lucy coaches with — your tool policy is the floor, not a layer Lucy works around.

planned for GA

M · 02 · Pause AI pipelines at any level

Org-, team-, or role-level pause and disable, revocable at any time. Admins can override and intervene — Article 14 human oversight by architecture, not bolt-on.

planned for GA

M · 03 · Configure what Lucy can collect

Content types and retention windows are admin-settable; the user-side six is the per-person equivalent layered inside the org's bounds.

planned for GA

M · 04 · See team-level capability trends

Manager-aggregate-only with cohort-size gating; small teams stay opaque even at the aggregate level. The trust posture isn't a setting an admin can flip.

planned for GA

M · 05 · See what you've adjusted

Visibility into your own configuration choices over time — what tools, what retention, what pause states — so the team can ask informed questions and the manager can audit their own decisions.

planned for GA

See V·C·C for the architectural floor, the business executive dashboard for the company-level visibility surface, and the works-council section for the workforce-rep audit rights.

Audit rights, consultation, co-determination, deletion-on-departure.

If you represent the workforce — a works council, a union, a Spanish comité de empresa — here's what Lucy commits to in writing.

The works-council audience is paired with the manager + employee anchors and rests on the V·C·C architecture above. The four commitments below cover audit rights, consultation rights, configuration co-determination, and structural deletion-on-departure. The DPA template and the Works-Council Material packet are available on request via the contact form.

The materials are sent on request to verified procurement / legal / works-council representatives.

Request the DPA + WC packet

Commitment
Stage

Audit rights

Workforce representatives have contractual audit rights to confirm Lucy's architectural commitments are met in deployment — manager-aggregate-only enforcement, cohort-size gating thresholds, retention configuration, refusal-scene compliance.

available

Consultation rights on dashboard rollout

Before the Executive Dashboard surfaces are activated for your company, consultation with the workforce representative is a deployment prerequisite.

available

Configuration co-determination

Manager-side controls (especially tool policy and collection configuration) are subject to co-determination where the legal jurisdiction requires it (Spain, Germany, Austria, France, others).

available

Deletion-on-departure default

When an employee leaves, their personal Lucy profile (Personal Coaching Plan, retained Signal/Context observations, personal-scope agents) is structurally deleted by default. The 30-day exit window is architectural.

available

If your team rolled out Lucy and you want to know what it means for you.

You didn't choose this — your company did. The most useful thing this section can do for you is name what Lucy actually sees, what it never sees, what your manager can and cannot see, and what you can refuse without anyone knowing.

The default is opt-in. The design is no-cost-to-you. The V·C·C architecture is the floor every commitment below rests on.

Lucy is read-only by design

Lucy observes the Signal layer (which apps you're in, which patterns repeat) and the Context layer (subject of an email, name of a calendar event). Lucy does not access Content (the body of an email, the inside of a document) without you explicitly invoking a coaching action.

The boundary is enforced at the architecture level — not as a setting you have to configure.
"Maybe later" costs you nothing

When Lucy spots an AI opportunity in your work, it surfaces it as an invitation. "Maybe later" or "no thanks" closes the invitation without escalating, logging a complaint to your manager, or affecting any visible ranking.

There is no hidden adoption metric per individual.
Cohort-size gating means small teams stay opaque

If your team is small enough that aggregate data would identify you (typically <10 people with cohort-size gating thresholds), the architecture refuses to surface that aggregate.

Patterns visible to leadership are pattern-level, not person-level.

See V·C·C for the architectural detail behind each commitment, and the manager section for what your manager sees and can configure.

How Lucy uses AI systems.

EU AI Act Article 13 transparency for the chat surface. Lucy coaches, the human builds, the agent executes — the same V·C·C agency model that governs the deployed product applies to this marketing-site chat.

Foundation-model dependency.

Lucy is built on a third-party AI foundation-model provider. Lucy does not run its own foundation model; Lucy's intelligence comes from that provider's model, configured with a Lucy-specific system prompt and product guardrails. The specific provider may change over time as Lucy Labs evaluates alternatives.

The public privacy and trust pages disclose AI providers by category only — preserving Lucy Labs' ability to add or change providers without re-publishing. The specific provider identity is available to data subjects on GDPR Art. 15 request and to procurement counterparties via DPA. See the Privacy Policy §4.

Where prompts travel.

Each chat turn:

  • Your message and recent conversation history are sent from your browser via Cloudflare Tunnel to Lucy Labs' privately hosted server infrastructure in Madrid, Spain.
  • From there, the prompt is forwarded to a third-party AI inference provider operating in the United States.
  • The provider's response returns the same path.

Current state: this transit operates under the provider's consumer subscription terms, not an enterprise / business-tier API agreement with a signed Data Processing Agreement and zero-data-retention controls. Lucy Labs has committed to migrating to an enterprise-tier API with a DPA and zero-data-retention controls before end of Q3 2026. The full data-flow statement is in the Privacy Policy §5.

Human oversight (EU AI Act Art. 14).

Article 14-style human oversight is structural via the V·C·C Control branch (the canonical framing from V·C·C above). For this marketing-site chat surface:

  • The coaching boundary is enforced via the system prompt — Lucy coaches, the human builds, the agent executes.
  • Lucy cannot write to external systems, schedule meetings, or commit to terms.
  • Lucy Labs reviews chat transcripts for product improvement; sensitive content is escalated to a human.
  • The chat widget surfaces the "Lucy can make mistakes" and "Chats with Lucy may be stored" disclosures persistently in the widget UI.

Negative space — what Lucy is NOT.

  • Not autonomous. Lucy coaches; the visitor (or, in production deployments, bounded agents the visitor designs and reviews) executes.
  • Not surveillance. Lucy does not score, rank, or surveil employees.
  • Not a replacement for human judgment. Augmentation only.

Training-data posture.

Lucy Labs does not train its own foundation model. The training data Lucy depends on is whatever the current AI foundation-model provider uses to train its model — the provider's public position on training data is the controlling reference; Lucy Labs makes no independent claim about it. Lucy Labs may, in the future, fine-tune a model on de-identified product-improvement data; if and when that happens, this section and the Privacy Policy will be updated and visitors notified.

Regulatory mapping.

This section satisfies the EU AI Act transparency obligations applicable to the marketing-site chat surface:

  • EU AI Act Art. 13 (foundation-model transparency) — satisfied by the disclosures above on dependency, prompt path, and training-data posture.
  • EU AI Act Art. 14 (human oversight) — satisfied by the V·C·C Control branch and the system-prompt-enforced coaching boundary.
  • EU AI Act Annex III risk categories — Lucy is not deployed in any high-risk Annex III category at design-partner stage.
  • GDPR Art. 22 (automated decision-making with legal effect) — Lucy makes no automated decisions about the visitor. Coaching content is informational.
AI-systems commitments
Stage

Third-party AI foundation-model provider (category disclosure)

available

Madrid → US inference path

available

V·C·C Control branch / Art. 14 human oversight

available

Enterprise-tier API + DPA + zero-data-retention

End of Q3 2026 working target.

planned for GA

Fine-tuning on de-identified product-improvement data

If pursued, visitors notified before activation.

planned

Full data-flow statement in the Privacy Policy →  ·  Request the DPA template →

EU AI Act + GDPR + sovereignty.

Lucy meets EU AI Act Articles 4 and 14 structurally.

Not as bolted-on policy, but as the architecture itself.

Article 4 (AI literacy) is not a one-time training requirement; it's continuous capability that must persist as the AI surface evolves. Lucy's coaching loop is structurally aligned with Article 4, it teaches the underlying patterns in real work on a continuous basis. Each new model generation strengthens the literacy moat instead of resetting the investment.

Article 14 (human oversight). Lucy's agency model is structurally aligned: Lucy coaches, the human builds, the agent executes. The five manager-side controls and the works-council co-determination posture instantiate Article 14 oversight at the org and workforce level.

GDPR + WP29 Opinion 2/2017. Customer = controller. Lucy Labs = processor for Signal + Context only; Content access requires human invocation. Monitoring is bounded by purpose limitation, transparency, and proportionality — Lucy's architecture is each.

Sovereignty. Lucy Labs is European-founded, Madrid-based, with a dual US (Delaware C-Corp parent) / Spain (operating subsidiary) structure. GDPR-native and EU-sovereign by construction.

EU certifications & co-determination
Stage

GDPR alignment

available

WP29 Opinion 2/2017 alignment

available

EU AI Act Article 4 + 14 structural alignment

available

Works-council co-determination

available

DPA template (sent on request)

available

ENS HIGH (Spanish public-sector)

Q2 2027 working target.

planned for GA

ISO 27001

planned for GA

SOC 2 Type II

planned for GA

Request the DPA template and Works-Council Material packet →  ·  EU AI Act treatment on /business →

NIST AI RMF today; FedRAMP family planned for GA.

Architectural alignment to NIST AI RMF 1.0.

Lucy's architectural posture maps to the four functions: Govern, Map, Measure, Manage.

Read-only by design, manager-aggregate-only with cohort-size gating, refusal-scene at the contract level. Article 14-style human oversight is structural via the V·C·C Control branch.

State-CISO posture documentation is sent on request through the contact form.

The procurement-shaped certifications (FedRAMP, TX-RAMP, StateRAMP, CJIS) are on the roadmap as planned for GA. Sovereign data-residency for the US is on the roadmap.

US frameworks
Stage

NIST AI RMF 1.0 — Govern · Map · Measure · Manage

available

State-CISO posture documentation (sent on request)

available

SOC 2 Type II

planned for GA

FedRAMP Moderate / High

planned for GA

TX-RAMP / StateRAMP

planned for GA

CJIS Compliance

planned for GA

US sovereign data residency

planned for GA

Request state-CISO posture documentation →  ·  See the parallel EU treatment above →

Workforce-scale trust — how the AI investment actually lands.

Trust at the org level isn't compliance theater — it's how the AI investment actually lands. The same V·C·C architecture that earns adoption from your people clears procurement, IT, Legal, and the works council.

IT keeps the keys. Approved-tool policy is yours. Configuration is yours. Pause is yours. Lucy is the layer that runs inside your tool policy, not a layer that asks you to relax it.

Compliance is structural where it can be. The data-controller / data-processor split is explicit. EU AI Act Article 4 + 14 alignment is architectural. NIST AI RMF 1.0 alignment is architectural. The certifications that require external auditors (SOC 2 Type II, ISO 27001, ENS HIGH, FedRAMP family) are on the roadmap with stage-honest labels.

Exit is structural. A Lucy pilot or deployment ends cleanly: data is returned per the data-controller/processor split, individual-scope retention is deleted within 30 days, the workforce capability built during the engagement stays with the workforce.

Design-partner clean-exit terms →  ·  How capability stays portable →

The refusal scene.

Architecturally refused · contractually forbidden

We will not sell employee surveillance.

The scene. A prospective customer's representative, typically in Legal, HR, or executive office, asks during an evaluation conversation: "I want to know exactly how much time each employee spends on every task. I need visibility into who's productive and who isn't for staffing decisions." The question may come framed as compliance ("we need this for audit"), as performance ("we need to identify low performers"), or as security ("we need to know what people are typing into AI tools").

"No. Even if it costs us the deal."

The Terms of Service. Lucy's commercial Terms of Service contractually prohibit using Lucy for employee surveillance, individual ranking, or punitive disciplinary action. Aggregate cohort-gated patterns are visible to leadership; per-individual session content, prompts, or rankings are architecturally refused and contractually forbidden. Violation of the surveillance prohibition ends the customer relationship.

A policy can be relaxed under pressure; an architecture cannot. The cohort-size gating, the manager-aggregate-only commitment, the Signal/Context/Content boundary, all enforce the no-surveillance posture at the code level, before any Terms of Service language gets read.

Frequently asked questions.

Is Lucy surveillance?

No. Lucy is read-only architecture, manager-aggregate-only with cohort-size gating, and our Terms of Service contractually prohibit using Lucy for employee surveillance, individual ranking, or punitive disciplinary action. We end customer relationships that violate this.

What data does Lucy capture?

Signal (application activity patterns) and Context (subject lines, document titles, calendar event names) by default. Content (the body of an email, the inside of a document) only when you explicitly invoke a coaching action. The Signal/Context/Content boundary is architectural.

What data does Lucy NOT capture?

Lucy does not capture Content without explicit invocation. Lucy does not capture private prompts in a form anyone else can retrieve. Lucy does not capture individual ranking signal. Lucy does not capture data from outside the work surface (personal devices, personal accounts). The architecture refuses these by design.

Does Lucy share my work with my manager?

Aggregate patterns yes, individual session content no. Your manager sees capability formation, opportunity maps, approved-tool adoption — at team and cohort level — bounded by cohort-size gating. Your manager does not see your prompts, your private drafts, or your individual ranking. The five manager-side controls name what your manager configures.

How is Lucy different from employee-monitoring tools?

Employee-monitoring tools capture keystrokes, screenshots, individual time-on-task, individual ranking signal. Lucy refuses all of these architecturally. Lucy's purpose is coaching people to build AI-supported solutions; the architecture is built to make that work without surveillance, not to surveil with a coaching label on top.

Can I pause Lucy?

Yes. One click. Anytime. No reason required. Pause stops all collection. Pausing does not log a complaint, does not affect any visible ranking, and does not surface to your manager. "Maybe later" costs you nothing.

Does Lucy train AI on my data?

No model training on your individual session content. Lucy's coaching uses your Signal and Context to personalize the loop for you; it does not contribute your data to a shared training corpus. The data-controller / data-processor split is explicit.

What does Lucy refuse to sell?

Surveillance. Ranking. Punitive disciplinary action. Interrogation contexts. Customer relationships that violate the surveillance prohibition end. The full refusal scene is above; the prohibition is in our commercial Terms of Service.