From survey scores to same-day action
An AI platform that turns thousands of customer survey responses into daily, department-level action plans for a national telecommunications operator.
Most companies collect NPS feedback and stop at a dashboard. We built a platform that reads every response, understands it, and routes work to the people who can fix it. AI classifies each piece of feedback across three dimensions — which business function it belongs to, what kind of friction the customer hit, and where they were in their journey. It detects when the same problem keeps recurring, flags issues trending up before they become systemic, and drafts an action plan for each one. Every morning, a guided seven-step workflow takes the CX team from fresh data to published department briefs, with a human reviewing and approving at every stage. Detractors with urgent issues flow into a callback queue so frontline teams close the loop directly. Leadership sees recovery rates, plan progress, and deep-dive problem reports without asking anyone to compile them.
A learning path for every employee, built from evidence
An AI platform that assesses each employee's real skills and generates an individual development path matched to their role and their gaps.
Generic training catalogs treat every employee the same. We built a platform that starts from evidence — training history, certifications, job descriptions, and professional profiles combine into a skills assessment for each person. Employees can review and adjust their own assessment, and managers are notified to validate changes, so the picture stays honest on both sides. From the assessed gaps, AI generates a personal learning path using the 70/20/10 model — blending on-the-job experience, peer learning, and formal courses — sequenced to fit the hours each person can realistically commit each week. Managers see a skills heatmap across their team and drill into any person or competency. HR gets modernized, AI-drafted job descriptions reviewed and approved through a workflow, so role expectations and learning paths stay connected.
Enterprise-grade engineering behind every build
Secure AWS architecture
Cloud-native, least-privilege infrastructure built to withstand enterprise and public-sector scrutiny.
AI cost controls
Model routing and budgets that keep generative workloads predictable and affordable.
PII protection
Data minimization, encryption, and guardrails so sensitive information stays protected.
Human-in-the-loop workflows
Every AI decision is reviewable and approvable — trust and accountability by design.