Understanding Contact Center KPIs
What AHT, FCR, SLA, occupancy and abandonment actually measure — and why optimizing one usually moves another.
Contact center analytics, business intelligence, telephony engineering and AI automation for organizations that want better visibility, better decisions and better operational performance.
Analytics. BI. Telephony. AI. — principal-level consulting, remote-first delivery.
Illustrative data shown for demonstration only. Not client data.
Most organizations already have enormous amounts of operational data — call records, dispositions, agent activity, campaign performance, telephony metrics and customer interactions.
The challenge is turning that data into decisions.
ShifAIGen connects analytics, business intelligence, contact-center technology and automation to help organizations understand performance, identify operational issues and make better decisions.
Analytics, business intelligence, platform engineering and automation are rarely separate problems. We work across all four so the answers actually hold together.
Transform call, disposition, campaign and agent data into actionable operational intelligence.
Build reliable Power BI solutions that turn complex operational data into executive-ready insights.
Improve contact-center and telephony platforms through configuration, optimization and integration.
Automate analysis, reporting and operational workflows using AI and modern automation.
We connect data, technology and analytics so operational teams can move from fragmented information to measurable insight.
Practical, hands-on depth across the systems that generate and consume contact center data — configured, queried and integrated directly, not through a vendor.
Most engagements begin with one of these. Pick the one closest to your situation.
You have the data, but cannot clearly explain why performance is changing.
Contact Center AnalyticsYour dashboards are slow, difficult to maintain or require too much manual work.
Business IntelligenceCall events, dispositions and operational records do not consistently tell the same story.
Read the analysisPlatform behavior, routing, call quality or integration problems are difficult to diagnose.
Platform EngineeringReporting, analysis and operational workflows consume valuable team time.
AI & AutomationYour organization needs a more scalable analytics and BI foundation.
Strategic AdvisoryShifAIGen is led by Sameer Khan, a principal-level contact center analytics and business intelligence practitioner with 18+ years of experience spanning contact center operations technology, analytics engineering and AI-driven automation.
Engagements are delivered directly by the principal consultant — no layered account teams, no handoffs between strategy and implementation.
Engagement structure follows the problem, not a product tier. Scope and commercials are agreed per engagement.
Strategic guidance, architecture, tooling evaluation and operational decision support.
Defined analytics, BI, telephony or automation projects with an agreed scope and deliverables.
Ongoing access to principal-level consulting expertise on a committed weekly or monthly basis.
Ongoing strategic and technical leadership for contact-center analytics.
What AHT, FCR, SLA, occupancy and abandonment actually measure — and why optimizing one usually moves another.
Three telephony metrics that explain most outbound performance problems, and how to read them together.
A reference architecture: star schema, a disciplined measure layer, incremental refresh and an executive page that answers questions.
Tell us what you’re trying to solve. We’ll help identify the data, technology and analytics required to move forward.