Service Offering
AI Architecture & Data Readiness
Building reliable AI solutions requires more than models—it demands enterprise-grade infrastructure and production-ready data. Catalant helps organizations build data and AI foundations that support high-performance, scalable, and reliable AI capabilities. Partner with Catalant to:
APPROACH
A Systematic Path to Production-Ready AI
01
Assess and build foundations
Evaluate existing AI initiatives, data assets, and infrastructure to identify gaps impacting quality, security, and performance of AI applications. Define success metrics and create a tailored plan addressing critical AI production challenges aligned with business objectives.
02
Optimize data architecture
Strengthen data infrastructure and remove silos with scalable pipelines, efficient storage systems, and optimized processing frameworks. Ensure the data is AI-ready with quality assurance protocols that address privacy and compliance. Identify any data gaps and outline plans to address them.
03
Design AI architecture and security
Define optimal AI production architecture, defining business-aligned AI accuracy needs, MLOps best practices, scalability, performance, security, and guardrails to safeguard AI applications. Prioritize AI architecture improvements, considering impact and business drivers.
04
Implement and optimize
Implement prioritized AI architecture improvements using robust monitoring, engineering best practices, and structured feedback loops. Establish continuous tuning processes that systematically track and refine AI application performance based on quantifiable accuracy metrics, real-world user feedback, and evolving requirements.
05
Deploy and scale
Deploy changes at scale, with robust monitoring, governance and observability. Develop comprehensive governance policies covering model deployment, access controls, and ethical guidelines to maximize enterprise-wide value. Establish repeatable patterns for use with other AI initiatives across your organization.
Solution Spotlight: Catalant Forward Deployed Experts™
AI Architecture That Fits How You Work
Embed functional operators alongside AI architects, so your data and systems are built around how your business actually runs.
WINNING TOGETHER
AI Architecture & Data Readiness Use Cases
Problem
A global scientific instrumentation company had developed a generative AI sales chatbot prototype but struggled to refine performance, integrate essential guardrails, and scale the system for their multinational customer base.
Action
Consultants improved and scaled the GenAI prototype through strategic architecture redesign and hands-on implementation. The team rearchitected the system for improved performance, designed robust guardrails, tuned prompts for accuracy, and built a comprehensive testing framework to support global deployment. Throughout the engagement, executives participated in strategic planning sessions to align on future AI capabilities and roadmap priorities.
Results
The engagement delivered substantial improvements to the company’s AI capabilities:
- 25% performance improvement in the generative AI assistant
- Successful multinational production deployment across multiple markets
- Strategic AI roadmap with prioritized initiatives aligned to business objectives
AI Data Readiness Assessment
A global expert marketplace struggled to leverage fragmented data for advanced AI applications like GenAI-enabled search and sales enablement. Consultants conducted an 8-week readiness assessment, analyzing system-wide data quality, building prototype pipelines with medallion architecture, and delivering targeted recommendations for scaling. The engagement provided implementation blueprints, example architectures, and a strategic investment roadmap—enabling confident advancement of AI initiatives with clear understanding of data readiness requirements.
Information Services AI Modernization
A global information services company with extensive acquisitions struggled to manage fragmented customer service operations across 300+ tools and 60+ Salesforce instances, leaving 600,000 contacts untagged and hampering service quality. Consultants architected a holistic AI solution starting with foundational data consolidation, implementing standardized pipelines, Salesforce Einstein integration, and a secure API framework connecting legacy systems with modern AI capabilities. The transformation identified $85 million in potential savings while delivering immediate results: 20,000 previously untagged contacts successfully processed, 60% reduction in manual effort, 50% faster email handling, and 40% improvement in first-contact resolution rates.
Energy Giant's AI-Powered Segmentation
A Fortune 500 energy company struggled to leverage vast customer data spread across disparate systems, with inconsistent metrics and manual, intuition-based segmentation hampering growth initiatives. Consultants built an AI-ready data foundation by auditing quality across 12 business units, developing harmonized pipelines for 30+ customer indicators, and implementing machine learning models that created four priority personas with targeting scores. The transformation delivered remarkable results: high-propensity segments with 3x higher conversion rates, 22% reduction in campaign costs through precision targeting, and a scalable AI segmentation engine now driving decisions across product, service, and retention teams.
featured experts
AI Architecture & Data Readiness Consultants
Angela Chapman
Catalant consultant
15+ years of experience delivering scalable AI solutions for Fortune 500s and high-growth startups
Matthew Paris
Catalant consultant
18+ years of experience driving enterprise-wide digital transformation initiatives
Angela Chapman
15+ years of experience delivering scalable AI solutions for Fortune 500s and high-growth startups
Led machine learning teams at Johnson & Johnson and Mighty AI, delivering production AI across healthcare, compliance, and industrial sectors. Designs enterprise-grade GenAI systems with scalable infrastructure and rigorous guardrails.
Matthew Paris
18+ years of experience driving enterprise-wide digital transformation initiatives
Deep expertise in AI, predictive analytics, and change management—combining technical execution with business strategy to build aligned roadmaps and clearly communicate AI’s value across the organization.
Samer Najia
Ex-BCG, ex-CACI Director, QA SME, and CTO for logistics firm
Results-driven technology leader with deep technical expertise across software, hardware, embedded systems, and security—delivering AI innovation and measurable outcomes across healthcare, fintech, and industrial sectors.
Sameer Khan
Ex-Fortune 100 AI leader, 7x industry award winner, advisor to PE-backed technology firms
Designs enterprise-ready AI architectures and data foundations that scale beyond pilots to production. Specializes in technical assessments, data pipeline optimization, and building robust ML infrastructure that enables reliable AI implementation.
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