Featured case studySolutionIntelligent TriageService Design

AI Triage & SME Routing

Helped employees reach answers and experts faster, with 55.8% of submissions resolved in the measured sample.

My role: Solution Designer & Implementation Lead

Project context: Sales-focused enterprise support organization

Part of a larger platform: Enterprise Support Intake & Routing

Conceptual photograph of pathways and routing decisions
01 · Situation

What needed to change.

Questions had no guided path, and a prior Ask Renewals version had approximately 7% adoption.

02 · Task

Improve answer routing, support resolution and measurable triage outcomes.

03 · Action

What I designed and led.

  1. Created a category-driven intake with defined SME ownership.
  2. Added AI triage and direct-answer paths.
  3. Tracked solved submissions and AI-direct closures separately.
  4. Tested 4.0 with more than 5,000 cases and CRM-backed lookups.
04 · Result

What changed.

Version 3.0 solved 158 of 283 submissions (55.8%), including 16 closed directly by AI. A modeled midpoint of ~12 hours per month includes assumptions about AI handling and avoided re-routing.

Estimated time saved~12 hours / month
55.8% solved · 16 AI closures
Results & evidence

Impact in context.

158 / 283Submissions solved
16Direct AI closures
13Support categories

Measurement note: Observed request counts; 12 hours/month is a modeled scenario, not verified deflection. 4.0 testing involved 5,000+ cases.

Efficiency estimate: Scenario midpoint: ~85 submissions/month × 28% conservatively assumed AI-assisted resolution × 0.375 hours, plus ~37 routed submissions × 5 minutes of avoided re-routing = ~12 hours/month. Low ~1 hour; high ~24 hours. Actual deflection and time saved are unmeasured.

Selected capabilities

How it works.

Guided categoriesSME rosterAI triageCRM lookupCase testing