Where ClarityLift goes, stage by stage

Continuous ambient signal from Slack and Teams. Per-team health scores, friction signals, retention signals, culture drift, alignment to goals, silence detection, intervention tracking with effectiveness measurement. Aggregate-only, 10-human floor, no DMs ever, no message text retained, 30-day per-team calibration before signals fire. AI-native by construction (LLM classification, LLM-synthesized insights) but positioned as the how, not the what.

• •Continuous classification + silence detection + alignment tracking
• •Intervention effectiveness measurement (what worked, what did not)
• •Cross-team attribution + handoff-friction signal type
• •Topic Lens V1 ambient trending topics
• •Dynamic 1:1 conversation prompts in the manager weekly digest
• •Finance-facing ROI calculator
• •Retention-zero whitepaper + consent architecture + DSAR support

Deeper integration and the first externally visible AI-agent surfaces. HRIS connectors ship with a strict connector-level field whitelist. Plain-language Topic Lens query ("what are people saying about the new insurance plan?") returns LLM-synthesized thematic summaries against the customer's own aggregate signal. An authenticated read API lets the customer's own AI agents consume ClarityLift signal for their own org.

• •HRIS integration (Workday, BambooHR, Rippling, ADP) — safe fields only
• •Cohort slicing by safe dimensions (team, department, work location)
• •Topic Lens V2 plain-language query API + UI
• •Actioning-layer partnerships with fractional CHRO channel
• •Authenticated read API (foundation) for the customer's own AI agents

ClarityLift becomes a conversational surface inside Slack and Teams alongside the ingest bot. Authorized users request signal in natural language — "draft a summary of team health signals for my board deck" — and get an aggregate response that respects the 10-person floor. The authenticated API matures into a supported enterprise integration. Within-tenant benchmarks surface team-versus-its-own-90-day-baseline as a first-class concept. Strategic alignment deepens into multi-goal prioritization and exec-narrative drafting.

• •Conversational ClarityLift agent in Slack and Teams for authorized users
• •Mature authenticated API with SDKs + rate limiting + scoped access
• •Per-team benchmarks against the org's own history
• •Strategic alignment module with multi-goal prioritization
• •Exec-narrative drafting from the quarter's signal history

Customers who explicitly opt in can see their org-level scores against the distribution of other opt-in customers in the same industry supersector. Produced via k-anonymity aggregation with minimum cohort sizes and careful cell suppression. Never licensed externally. Never used to answer "who else looks like us" for a third party. Inside the opting-in customer's own dashboard only. The opt-in mechanic is load-bearing — Stage 4 fails if it becomes a wink-and-nod default.

• •Cross-customer industry benchmarks, opt-in only, k-anonymous aggregates
• •Pattern alerts grounded in the customer's own history first
• •Proactive intervention suggestions from logged interventions + effectiveness