Our Case Studies

Controlled study with 31 control groups proving Neural Search + Generative AI delivered 28+ percentage points better performance than natural trends. Result: Multi-million dollar enterprise contract and confident rollout.

Created AI-focused product package combining Neural Search, Generative Answers, and multi-provider AI (OpenAI, Azure, Vertex, Bedrock). Single expansion deal generated $176K+ ARR, total portfolio reached $10M+ across Fortune 500 clients.

Developed migration-adjusted controlled study framework that proved causality (not correlation) in AI performance gains. Customer-validated $1.2M cost avoidance at 55% accuracy; projected $1.96M+ at final 90%+ accuracy.

Migration-adjusted controlled study proving AI-driven first-time success rate improved 27.9 percentage points better than control groups (which declined 9.3%). Enabled confident executive decision-making with causality-proven results.

Designed enterprise-grade multi-provider AI architecture enabling customers to choose their preferred AI backend. Owned end-to-end roadmap for Generative Answers and Neural Search across 4 major cloud providers.

Pioneered AI Approver Review and Add-to-KB workflows enabling autonomous knowledge base updates. Transformed knowledge management from reactive to proactive with AI-driven content curation.

Complete overhaul of development methodologies for critical public service platforms, introducing agile practices and optimizing resource allocation.

Strategic design and deployment of multiple Minimum Viable Products for citizen-facing services that dramatically improved user engagement and adoption.

Implementation of robust KPI and OKR frameworks to guide decision-making processes and align technology investments with organizational objectives.

Development of an innovative compliance reporting system to meet new market regulations, opening new business opportunities in environmental compliance.

Strategic expansion of system capabilities to monitor biomass data, enabling better environmental reporting and expanding the client base for sustainability solutions.

Implementation of batch processing for eligibility diagnostics, automating the assessment of over 800,000 cases for EUDR compliance and 38,000 for carbon credit certification.

Complete transformation of manual database update processes into an automated system, significantly increasing data quality and update frequency while reducing human error.

Development of a flexible ESG reporting framework that allows for layer-by-layer customization and selective feature activation based on client requirements.

Redesign of credit analysis engine with enhanced usability and significant processing time improvements, enabling faster and more accurate financial assessments.

Creation of a sophisticated property valuation system that analyzes multiple data points to determine accurate real estate values for agricultural properties.

Development of comprehensive analysis tools for carbon credit certification (CBIOS), including multi-year analysis capabilities and visual reporting with official certification.

Development and implementation of a comprehensive Lean Design methodology that minimized risks and uncertainties while maximizing client value and resource efficiency.

Creation of a structured discovery process with continuous validation of hypotheses through iterative testing and close collaboration between product, business, and technology teams.

Comprehensive redesign of product development processes, introducing rapid prototyping, continuous validation, and structured feedback loops to enhance product-market fit.

Implementation of a streamlined delivery methodology centered around Jira workflow optimization, ensuring clear requirements, efficient sprint planning, and transparent progress tracking.

Transformation of organizational culture to prioritize revenue generation in product development, aligning features with user value and business goals through structured assessment processes.

Development of a comprehensive communication system between product teams and other departments, establishing clear expectations, feedback loops, and proactive update protocols.