Work
Built with real constraints, data quality, compliance, and customer trust. Metrics are representative samples when not client-approved.
Problem
High call volume created long wait times and lost leads.
Approach
Deployed voice AI with CRM + calendar integration, sentiment routing, and live failover.
Outcome
24/7 coverage with consistent brand tone.
Metrics
-38% handling time, +21% booked consults.
Problem
Manual data entry across CRM and billing led to errors and delays.
Approach
API-led automations with validation, duplicate detection, and approvals.
Outcome
Cleaner data and faster quote-to-cash.
Metrics
3x faster pipeline updates, 0 critical sync gaps in 90 days.
Problem
Agents spent too long gathering context and drafting responses.
Approach
Chat assistant pulling from knowledge base, tagging intent, and suggesting replies.
Outcome
Agents focus on empathy; AI handles the rest.
Metrics
45% faster first response, +9 CSAT points.
Problem
Company had 5 years of customer interaction logs sitting in databases but no actionable insights. Sales and marketing decisions were based on intuition, not data.
Approach
Built warehouse layer to consolidate CRM, support tickets, and product logs. Created dashboards showing customer behavior patterns, churn signals, and revenue trends. Trained teams on data literacy.
Outcome
Teams shifted from gut-feel to evidence-based decisions. Leadership now rejects proposals lacking data backing.
Metrics
+34% accuracy in forecasting, 28% reduction in bad customer acquisitions, $2.1M prevented waste in first year.
Problem
High churn despite investing in customer support. Renewal teams had no early warning system for at-risk accounts.
Approach
Built predictive churn model using historical support tickets, usage frequency, and billing trends. Automated alerts flagged risk tiers. CSMs got daily risk dashboard.
Outcome
Proactive interventions replaced reactive firefighting. Retention improved materially.
Metrics
+18% net retention rate, 42% reduction in surprise churn, $4.7M revenue saved.
Problem
Operations spending was scattered across tools and vendors with no cross-system visibility. CFO couldn't identify waste or optimization opportunities.
Approach
Unified expense data from accounting, project tracking, and vendor platforms. Built cost allocation dashboards. Ran data-backed vendor negotiations and process reviews.
Outcome
Data became the language of cost control. Ops leadership made faster, confident decisions on vendor consolidation and process changes.
Metrics
26% reduction in vendor costs, $1.3M annual savings from process refinements, 3x faster budget reviews.
Problem
Engineering roadmap was driven by feature requests, not usage data. Many built features went unused.
Approach
Instrumented product with comprehensive event telemetry. Built power-user analysis, funnel breakdowns, and feature adoption dashboards. Aligned roadmap priorities to actual user behavior.
Outcome
Shipped less, impacted more. Development velocity improved as teams focused on validated problems.
Metrics
52% drop in unused features, 31% faster time-to-value for new releases, +15 NPS points.
Problem
Insights were bottlenecked behind a single analyst. Marketing and sales teams waited days for reports, made decisions on stale data.
Approach
Built self-service BI platform with real-time dashboards. Created SQL templates and guardrails. Trained teams to answer their own questions.
Outcome
Decision cycle time collapsed. Teams moved faster without losing rigor.
Metrics
89% reduction in "waiting for reports", 41% increase in experiment velocity, 19% lift in campaign ROI.
How we deliver
We sweat the operational details so your team can focus on the customer.
