# Clarient > Official Clarient business agent. Clarient.us drives enterprise growth through AI-first solutions, digital transformation services, and scalable tech… ## Ask it a question Clarient answers for itself at https://api.hailera.com/mcp/clarient. A client that speaks MCP can connect to that address; the tool is ask_clarient and the protocol is 2026-07-28. Where this file and the agent disagree, the agent is current. ## About Clarient Clarient is an AI-driven business transformation partner that blends AI, creativity, and strategy to help organizations solve complex challenges and turn ambitious ideas into tangible outcomes. Its purpose is to create meaningful impact, push boundaries, and identify opportunities that redefine what is possible. Clarient works at the intersection of technology and design, bringing together talent, insights, and market knowledge to help clients reimagine, reinvent, and transform their businesses. Experience and Reach - Serves clients across more than 16 countries. - Has more than 350 satisfied clients. - Its people have partnered with clients globally for over 27 years. Values Clarient's values include: - Driven by Client Success: Client success is the basis of Clarient's work. - Innovation: Creativity and experimentation drive progress. - Integrity: Transparency, accountability, and ethics are non-negotiable. - Collaboration: Diverse perspectives help create smarter solutions. - Continuous Learning: Curiosity and ongoing improvement are encouraged. - Fun Matters: Creativity, camaraderie, and shared celebrations are valued. Social and Environmental Impact Clarient supports progress through: - A Carbon Management Platform that helps companies reduce their environmental footprint. - Donations to a nursing college supporting aspiring healthcare professionals. - An inclusive culture where every voice is valued. - Mentorship, educational programs, and innovative solutions that support community impact. Source: https://clarient.us ## What Clarient does Clarient helps businesses design, build, and scale AI systems that improve decisions, reduce manual effort, and create measurable operational value. Its approach covers strategy, data, engineering, integration, governance, adoption, and optimization. Approach - Business-first AI: Starts with a value case involving cost, speed, revenue, risk, customer experience, or productivity. - Enterprise scale: Designs AI for real systems, users, and operating environments, with continuous optimization. - Responsible by design: Embeds governance, human oversight, compliance, explainability, and control from the start. - Human-centered intelligence: Builds AI that supports teams, improves decisions, and removes low-value work. AI Service Areas AI Strategy and Advisory - AI opportunity mapping - Use-case prioritization - Business case and ROI planning - Responsible AI roadmaps AI Engineering and Development - AI solution architecture - Model development and fine-tuning - Data architecture and pipelines - Machine learning implementation, MLOps, and cloud deployment Generative and Agentic AI - Agentic AI and use-case design - LLM orchestration and enterprise integration - Enterprise knowledge assistants and retrieval-augmented generation - Knowledge graphs and vector databases AI Applications and Automation - AI copilots and enterprise agents - Intelligent workflow automation - Enterprise system integration - Custom AI applications Enterprise AI Adoption and Scale - AI governance, security, and compliance - Model observability and performance monitoring - Change management and adoption planning - Scaling across teams and functions Managed AI Services and Operations - Managed AI services and AIOps - MLOps and LLMOps - Continuous performance optimization - AI-enabled productivity programs AI Delivery Framework - Align business priorities: Define the business case, high-value use cases, outcomes, risks, and success measures. - Prepare data and systems: Assess data, workflows, infrastructure, and AI readiness, then establish security and governance. - Build the AI capability: Develop and test the model, application, automation, or workflow for accuracy, reliability, security, and usability. - Integrate into workflows: Connect AI with enterprise platforms and data and embed it into existing ways of working. - Scale with control: Monitor performance, adoption, cost, and risk while optimizing and expanding what delivers value. Clarient supports AI consulting and implementation for small and mid-sized businesses as well as enterprise organizations. Its AI services can support industries including healthcare, finance, retail, logistics, manufacturing, professional services, technology, and customer support. Clarient provides experience-led technology and business services designed to help ambitious teams move faster, think more clearly, and lead with purpose. Core Services AI Strategy, Development, Execution and Operations Clarient engineers AI systems that move beyond pilots to production, with goals including measurable efficiency gains, cost optimization, and competitive differentiation. Areas include: - Agentic AI frameworks - Generative AI - AI governance and responsible technology - AI orchestration - AI-driven outsourcing and product teams Digital Transformation Consulting Clarient modernizes operations while aligning technology investments with EBITDA impact and workforce adoption. Services include: - Technology modernization and roadmap development - Business process optimization and automation - Data-driven strategy and decision intelligence - Cloud strategy and migration - DevOps and CI/CD automation Strategic Outsourcing and Staff Augmentation Clarient provides elastic expertise that can scale with initiatives, including: - On-demand technology talent and managed teams - Dedicated product and engineering teams - Specialized IT and AI talent augmentation - Creative process outsourcing - Enterprise-grade software development User Experience Design Clarient creates experiences that balance functionality, visual quality, and business outcomes. Services include: - Agile product innovation and development - MVP development and market validation - Full-cycle product engineering - Launch and scale support - Experience design and strategy Solution Areas Clarient delivers or supports solutions across: - Enterprise platform solutions - Customer and digital experience transformation - PeopleTech and HR transformation - Governance, risk, and compliance - ESG and ClimateTech - Healthcare and life sciences - Media, entertainment, and publication - Technology, SaaS, and consulting These solutions address areas such as AI-powered digital touchpoints, intelligent HR tools, automated compliance, carbon tracking, digital health, media automation, platform development, and customer experience transformation. Source: https://clarient.us ## Where Clarient works Lists Enterprise as a location. Names New York as a service area. Areas beyond these are not published. ## Cloud Services Clarient provides cloud consulting services for migration, modernization, infrastructure management, optimization, automation, security, and compliance. Its goal is to create cloud environments that support business growth, agility, scalability, and long-term value. Cloud Capabilities Cloud Strategy and Migration Clarient assesses the current IT landscape and builds a roadmap designed to reduce risk, minimize disruption, protect business continuity, and maximize long-term value. Cloud Infrastructure Management Clarient monitors and optimizes infrastructure to improve performance, control costs, and support reliable, scalable operations. DevOps and CI/CD Automation Clarient streamlines delivery pipelines through cloud integration to speed releases, reduce errors, and improve deployment efficiency. AI-Powered Cloud Optimization AI-driven insights are used to optimize costs, predict risks, automate routine operations, and improve performance as needs change. Security and Compliance Cloud environments can include encryption, compliance frameworks, governance, recovery capabilities, and real-time threat protection. Cloud Platforms Clarient builds, optimizes, and manages environments across: - Amazon Web Services (AWS) - Microsoft Azure - Google Cloud Platform (GCP) - IBM Cloud Cloud Transformation Process - Assess and strategize: Audit the IT landscape, identify opportunities, and create a business-aligned cloud roadmap. - Design and deploy: Build secure, scalable cloud solutions that reduce complexity and improve agility. - Automate and optimize: Use automation to reduce manual workloads, lower costs, and improve performance. - Monitor and evolve: Continuously improve security, efficiency, and infrastructure performance. Cloud consulting may cover planning, modernization, architecture, integration, security, governance, migration, and ongoing optimization. Migration costs and timelines depend on factors such as application complexity, infrastructure size, compliance requirements, migration approach, data readiness, and integration needs. Source: https://clarient.us ## Selected Client Work Clarient's success stories demonstrate work across artificial intelligence, healthcare, digital health, media, and content platforms. Critical Care AI Clarient's user experience team designed an AI-based predictive care solution deployed in a critical care facility at one of the world's leading hospitals. The work helped intensivists achieve an 18% reduction in patient mortality. Clarient also collaborated with a New York City-based healthtech company to create a predictive, clinician-friendly ICU experience focused on sepsis prediction and critical care response. Customer Data Intelligence Clarient's user experience group worked with the Distil.ai team for more than six years to design and bring a customer data intelligence and hyper-personalization platform to life. Digital Health Testing Clarient partnered with a genomics company to design a direct-to-consumer COVID-19 testing experience. The experience enabled people to register, test, and receive results with clarity and confidence. Media Quality Control For Eurofins, Clarient contributed user research and full-stack development for an intuitive media quality-control platform designed to improve usability, transparency, and turnaround for global content partners. Digital Pathology Clarient worked with Crosscope to reimagine its brand and digital presence. Crosscope uses AI-powered digital pathology in cancer diagnostics, with a focus on precision, speed, and innovation. Source: https://clarient.us