Quality Engineering Proposal - https://www.logik.io/

Quality Engineering Excellence

Prepared for Christopher Shutts

https://www.logik.io/ • Comprehensive proposal • Tailored solutions • Measurable outcomes

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Bug Reduction

Hi Christopher Shutts,

We understand Logik.ai, now part of ServiceNow, is focused on revolutionizing CPQ with an AI-native platform designed to drive faster, flawless revenue execution. Our team has analyzed your public presence and recognizes the critical role robust quality assurance plays in supporting your ambitious goals of transforming how enterprises sell.

01 Business Context

Based on Logik.ai's stated mission and capabilities, we understand your key strategic areas and differentiators to include:

  • AI-Native CPQ: Delivering an AI-native platform to speed up complex selling across every channel, leveraging AI for discovery, guided configuration, and administration.
  • Faster, Flawless Revenue Execution: A core promise to optimize experiences for both buyers and sellers, increasing operational rigor and boosting sales productivity.
  • Enhanced Customer Experience: Enabling consumer-grade exploration, evaluation, and buying experiences, mimicking the guidance of a knowledgeable salesperson.
  • Omnichannel Support: Extending CPQ experiences to sales, eCommerce, dealers, distributors, partners, and resellers through headless and composable architecture.
  • Performance and Scalability: Committing to "light speed performance never ever slowed by complexity" while managing thousands of rules.
  • Ease of Administration: Providing "No-code, point-and-click administration for turnkey implementation, customization, and GTM."
  • Deep Expertise: Building on over 100 years of collective CPQ experience to redefine the industry.
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02 Key Risks & Quality Gaps

Delivering on Logik.ai's ambitious promises, particularly within a rapidly evolving AI-native landscape, naturally introduces specific quality considerations:

  • AI Accuracy & Relevancy: Ensuring AI-Driven Discovery and recommendations consistently provide "hyper-relevant" and "personalized" insights across varied and complex scenarios.
  • Configuration Logic Integrity: Maintaining the "flawless revenue execution" and "perfect-fit solutions" promise when managing "thousands of rules without sacrificing performance."
  • Performance Under Load: Validating "Always Performant" claims as the system scales in complexity and user volume, especially in channel sales and eCommerce.
  • Omnichannel Consistency: Ensuring seamless and consistent buyer and seller experiences across diverse channels given the "headless & composable" architecture and next-gen APIs.
  • Admin Experience Reliability: Confirming the "Point-and-Click Admin" experience reliably translates configurations into correct system behavior without introducing errors.
  • Integration Stability: Safeguarding the quality and stability of integrations essential for data extensibility and true omnichannel selling.
  • Regulatory & Trust Adherence: Upholding "longstanding and deep commitment to customer trust and security," including ISO 27001 and GDPR standards, requires continuous validation.

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03 Value Proposition Summary

Challenge Area Our Proposed Solution Expected Impact for Your Team
AI Recommendation Quality Targeted AI Model Validation & Data Integrity Ensure hyper-relevant, profitable-fit solutions consistently
System Performance & Scalability Advanced Performance & Load Testing Guarantee "Always Performant" even with extreme complexity and scale
Complex Configuration Logic Comprehensive Functional & Regression Testing Minimize errors, boost quoting efficiency, and enable flawless execution
Omnichannel Experience Gaps API & End-to-End Integration Testing Validate seamless buyer/seller journeys across all channels
Admin Usability & Reliability Usability & Configuration Testing Uphold point-and-click admin ease and prevent configuration-related issues
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04 90-Day Roadmap

Phase Key Activities Expected Outcome
Phase 1: Discovery & Audit - Review existing QA processes and documentation - Deep understanding of your current quality landscape and specific pain points
(Weeks 1-3) - Collaborate with your team to identify critical AI/CPQ workflows - Prioritized list of high-impact areas for initial quality focus
- Analyze performance baselines for key transactions - Identification of key integration points and potential quality dependencies
Phase 2: Pilot Engagement - Design and execute a focused QA pilot on a critical workflow (e.g., AI-Guided Configuration) - Tangible improvement in quality and stability within the pilot area
(Weeks 4-10) - Implement targeted AI recommendation accuracy and performance tests - Demonstrated capability to identify and resolve specific quality gaps
- Establish initial automation frameworks for core functionality - A clear model for scaling QA efforts efficiently
Phase 3: Strategic Alignment - Present pilot results and collaborate on long-term QA strategy - A strategic roadmap for integrating quality throughout your development lifecycle
(Weeks 11-12) - Define future state architecture for continuous quality assurance - Agreement on measurable KPIs aligned with your business objectives
- Recommend tools and methodologies for sustained quality improvement - Foundation for empowering your team with enhanced quality practices

Ready to Transform Your Quality Engineering?

Let's discuss how we can elevate your product quality and accelerate delivery

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05 KPI & Success Metrics

Metric Category Specific KPI Targeted Improvement Area
Product Quality Reduction in Production Defects Enhance customer satisfaction and operational rigor
Operational Efficiency Test Automation Coverage % Accelerate release cycles and reduce manual effort
Performance Latency for Complex Configurations Uphold "Always Performant" promise across all user scenarios
AI Effectiveness AI Recommendation Acceptance Rate Validate precision of AI-Driven Discovery and guided selling
Customer Experience Reduction in Customer-Reported Issues Grow customer LTV, increase satisfaction, and build loyalty
Development Velocity Lead Time for Bug Resolution Increase sales productivity by unblocking bottlenecks

06 Engagement Approach & Next Steps

Our team believes in a collaborative and transparent approach, working directly with your product, engineering, and sales teams to embed quality assurance seamlessly. We aim to become an extension of your organization, providing expertise and capacity without disrupting your existing workflows.

The next logical step would be a brief, focused conversation with you and relevant members of your team. This would allow us to delve deeper into your specific priorities, current challenges, and how a tailored quality strategy can directly contribute to Logik.ai's continued momentum and success within ServiceNow. We are prepared to listen and demonstrate how our expertise can provide immediate, measurable value.

Ready to Transform Your Quality Engineering?

Let's discuss how we can elevate your product quality and accelerate delivery

Limited Q1 2026 Slots Available
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