Client Engagement Intelligence Workspace
Monitor composite engagement across cohorts, validate AI pipeline quality, and activate agentic playbooks— all in a workspace designed for BrightNTech's regulated clients.
Semantic clustering shows 3 dominant intents: platform consolidation, AI governance, and omni-channel analytics. Content resonance +18% WoW.
Propensity model (GBM) predicts +9–12% meeting conversion uplift for cohort B1 given tailored case studies and 14-day cadence.
Orchestrator recommends a 3-step sequence: (1) diagnostic poll, (2) 30-min value mapping, (3) ROI simulator. SLA gate: security & compliance.
Transformer QA checks prompt hygiene, factual grounding, and policy alignment. ML uplift focuses on calibrated propensity scores. The final agent verdict validates orchestration guardrails before any customer-facing action.
Thresholds — Not Aware (0–39), Aware (40–54), Enthusiast (55–64), Convinced (65–74), Ambassador (75+).
Top-left: High revenue potential × Low engagement → Prioritize targeted outreach.
- 1. Send diagnostic poll to B1 cohort (security posture, use-cases, constraints).
- 2. Book 30-min value mapping focused on ROI levers (time-to-value, risk, cost).
- 3. Share tailored case studies (regulated industries). Track reply latency & depth.