Nevriq Technologies
Results

Outcomes you can measure

Production-ready AI workflows with evaluation and monitoring—so results are visible, repeatable, and improvable.

Before
🎫1,200
⏱️4hrs
72%
🤖
AI Agent
After
🎫480-60%
⏱️30min-87%
94%+31%
Measured outcomes in production
70%
fewer call transfers
Insurance provider support workflow
30%
higher product adoption
SaaS SMART-goal assistant
60%
fewer support calls
State DMV FAQ bot revamp
What we optimize for
Support ROI

Deflection rates, response quality, resolution time, safe escalation paths

Team Velocity

Reduced tribal knowledge dependency, faster onboarding, fewer interruptions

Retention

Churn risk visibility, proactive save plays, measurable intervention outcomes

Operational Clarity

VoC insights, roadmap alignment, cross-team visibility into customer needs

Ready to add your outcomes to this list?

Start with a 2–4 week sprint. Ship a production workflow with evaluation baselines—and measure the impact from day one.

B2B SaaS (Series A) — Support Copilot
IntercomNotionSlackNext.jsLLM + RAGMonitoring/Evals
Problem
  • Support volume was growing faster than headcount. Agents spent time answering repeat questions and hunting for context across docs and tickets.
What we shipped
  • Ticket triage + tagging and routing rules
  • Grounded draft replies from approved knowledge sources
  • Confidence gating + escalation to human agent
  • Evaluation suite with acceptance tests + monitoring dashboard
Outcomes
  • Target: 20–35% reduction in repetitive ticket load (deflection + faster resolution)
  • Target: 15–25% faster first-response time with higher consistency
  • Clear KPI reporting: deflection, handle time, quality signals, escalation rate
SMB SaaS — Internal Knowledge & Onboarding Copilot
SlackConfluenceGoogle DriveRAG + citationsRole-based access
Problem
  • Onboarding took weeks because tribal knowledge lived in Slack and scattered docs. The same questions were repeated daily, interrupting senior staff.
What we shipped
  • Slack Q&A bot with citations to internal sources
  • Role-aware permissions and access boundaries
  • Onboarding flows by role (sales/support/engineering)
  • Knowledge gap reporting (what’s asked vs what exists)
Outcomes
  • Target: fewer repeated internal questions and fewer Slack interruptions
  • Target: faster ramp time for new hires (documented role-based playbooks)
  • A hygiene loop to keep documentation current and aligned to real questions