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Business Value & ROI

The Hidden Costs of AI Failures​

When your AI chatbot provides incorrect or incomplete answers, the costs ripple through your organization:

Support Team Impact​

  • Increased ticket volume when AI can't resolve customer queries
  • Longer resolution times as humans handle complex escalations
  • Higher operational costs from manual intervention

Customer Experience Costs​

  • Customer frustration from incorrect information
  • Increased churn when problems aren't resolved quickly
  • Negative reviews impacting brand reputation

Compliance & Risk Exposure​

  • Regulatory penalties from providing incorrect information
  • Legal liability from AI-generated misinformation
  • Reputational damage from public AI failures

How Teckel AI Drives ROI​

1. Reduce Support Tickets​

The Problem: When AI systems provides incomplete or incorrect answers, external customers escalate to support and employees escalate up the chain, wasting man-hours.

Our Solution: Identify AI failures before too many customers are affected, letting you teach your AI exactly what it needs to know based on user needs.

Business Impact:

  • Fewer support escalations
  • Higher first-contact resolution rates
  • Lower cost per customer interaction

2. Save Engineering Time​

The Problem: Engineers waste hours debugging AI responses and guessing which documentation needs updates.

Our Solution: Pinpoint exactly which topic areas need help and route them to the right subject matter expert internally to fix.

Business Impact:

  • Reduce engineering effort on non-technical problems
  • Prioritized documentation guides, saving time manually writing and deploying new content
  • Cleaner and better maintained internal knowledge base- for humans and AI

3. Prevent Customer Churn​

The Problem: Customers abandon products when self-service doesn't work.

Our Solution: Ensure AI provides accurate, complete answers that actually solve customer problems.

Business Impact:

  • Improved customer satisfaction scores
  • Higher retention rates
  • Increased customer lifetime value

4. Avoid Compliance Issues​

The Problem: Incorrect AI responses can lead to regulatory violations and legal exposure.

Our Solution: Track and audit every AI response with complete source documentation.

Business Impact:

  • Complete audit trails for compliance
  • Proactive issue detection to avoid AI hallucination
  • Ensure answers are grounded in current information

Implementation Timeline​

Day 1: Setup & Integration​

  • Install and configure SDK (20 minutes)
  • Start collecting baseline metrics

Week 1-2: Identify Issues​

  • Analyze knowledge gaps for high volume topics
  • Prioritize high-impact fixes

Week 3-4: Fix & Improve​

  • Update problematic documentation
  • Fill knowledge gaps using recommended material

Week 5+: Measure Impact​

  • Monitor newly deployed documentation use
  • Track system and topic level health via daily Slack reports

Industry-Specific Benefits​

Financial Services​

  • Provide accurate product information
  • Reduce errors in financial guidance
  • Maintain audit trails for regulators

Healthcare​

  • Deliver accurate medical information
  • Reduce liability from incorrect guidance
  • Improve patient satisfaction

E-commerce​

  • Reduce return rates with accurate product info
  • Improve conversion with better self-service
  • Decrease cart abandonment

SaaS & Technology​

  • Reduce support burden for technical issues
  • Decrease time to value for customers
  • Increase product adoption

Getting Started​

Ready to improve your AI's accuracy and reduce operational costs?

  1. Start with a pilot - Test with one product line or customer segment
  2. Measure baseline metrics - Know your current support costs and AI performance
  3. Set improvement targets - Define success metrics for your organization
  4. Track progress - Monitor improvements week over week
  5. Scale success - Expand to other areas once ROI is proven