# Bluelabellabs > Official Bluelabellabs business agent. BlueLabel is an award-winning generative AI development agency that creates high-impact, agentic AI solutions. ## Ask it a question Bluelabellabs answers for itself at https://api.hailera.com/mcp/bluelabellabs. A client that speaks MCP can connect to that address; the tool is ask_bluelabellabs and the protocol is 2026-07-28. Where this file and the agent disagree, the agent is current. ## About Bluelabellabs BlueLabel is an award-winning, remote-first team of strategists, designers, and developers. The company partners with ambitious companies, brands, and founders to build apps, business models, services, and brands that transform businesses and connect meaningfully with their users. BlueLabel's approach emphasizes: - Strategic business consulting focused on transformation and growth - User-centric design informed by user feedback - Experienced engineering to build, scale, and sustain digital products - Analytics and user testing to support data-driven decisions - Lean design and agile development - Long-term client partnerships and continuous learning The company has offices in New York City, Seattle, and San Francisco, with team members based around the world. Its leadership includes Bobby Gill, Co-Founder and Chief Architect; Jordan Gurrieri, Co-Founder and CEO; Andon Keller, COO; Danny Deserto, VP of Strategy and Design; and Parvathy Harilal, VP of Operations and Finance. Source: https://bluelabellabs.com ## What Bluelabellabs does BlueLabel develops and implements practical, high-impact generative and agentic AI solutions, supporting clients from strategy through deployment. Mid-market and enterprise companies work with BlueLabel as an embedded AI team to design and implement custom multi-agent solutions for complex operational scenarios. AI services include: - AI Strategy Development: Prioritizing the highest-impact applications of AI. - AI Agent Workflows: Implementing autonomous agents to automate workflows and deliver new experiences. - RAG AI Development: Building Retrieval-Augmented Generation applications for fast, high-quality AI insights. - Conversational AI: Delivering personalized, data-driven interactions that integrate with business systems. - AI Product Development: Developing scalable products with a focus on rapid value generation. - Data and LLM Engineering: Architecting pipelines that ingest, integrate, and clean data from multiple sources to support effective AI models. BlueLabel describes its AI work as a way to maximize productivity, minimize costs, and drive operational efficiency beyond the limits of off-the-shelf tools or in-house capabilities. BlueLabel uses human-centered design, strategic thinking, and agile development to create and improve digital products, from new concepts to product overhauls. Services include: - Design Sprints: A remote series of seven workshops conducted over two to three weeks to validate and refine product concepts, align participants, and gather user feedback. - Innovation and Strategy: Human-centered competitive analysis, user research, co-creation workshops, product strategy, roadmaps, goals, and KPIs. - Branding: New product brand design, adoption of existing brand guidelines, and brand refreshes. - Design and User Testing: Prototypes, iterative feedback cycles, and quantitative and qualitative user research to prioritize features before development. - Development and Testing: Scrum-based agile development, frequent builds, and quality assurance across front-end and back-end systems. - Analytics Strategy: KPI scorecards, event-based data, and custom dashboards aligned with business goals. - Post-Launch Support: Ongoing maintenance, post-launch management, and data-driven support to improve and grow products over time. Development experience includes Apple, Android, web, React Native, and Clover POS environments. Source: https://bluelabellabs.com ## Where Bluelabellabs works Lists Keller, New York City, San Francisco, and Seattle as a location. Names Jordan as a service area. Areas beyond these are not published. ## AI SPRINT Framework BlueLabel SPRINT™ Framework The BlueLabel SPRINT™ Framework is designed to help organizations start quickly, build trust, and prove value with AI. The framework includes: - Identify opportunity areas. - Prioritize AI use cases. - Build an AI roadmap. - Launch an AI pilot in four to eight weeks. BlueLabel's broader AI approach is to identify, pilot, and scale practical generative AI solutions. Its delivery model includes senior and agile turnkey teams, technology work beginning at project kickoff, clear performance metrics, and enduring partnerships focused on long-term roadmaps and platform enhancement. Source: https://bluelabellabs.com ## B.O.S.S. Blueprint Builder B.O.S.S. Blueprint Builder Case Study BlueLabel partnered with B.O.S.S. Retirement Solutions to improve lead generation and automate the creation of personalized retirement strategies. BlueLabel developed the Blueprint Builder, which extracts information from financial reports and uses generative AI to create customized retirement blueprints. A prototype was deployed within eight weeks and reduced blueprint preparation from hours to minutes. Reported outcomes included: - An average saving of one hour per blueprint, allowing advisors to reclaim approximately eight hours per week - An increase in blueprint completion from 25% to 100% - The potential to increase close rates by more than 5% through greater adoption and standardized report quality - Improved transparency into blueprint calculations - HTML blueprints that advisors can export to B.O.S.S.-branded PDFs - Faster delivery of AI-generated strategies to clients BlueLabel's work included business process optimization mapping, AI product strategy and discovery, generative AI application development, data engineering and pipeline automation, and web application development. The prototype used a Retrieval-Augmented Generation architecture with AnythingLLM and a Milvus vector database. LangChain and OpenAI models supported real-time responses for large financial datasets. The team also developed prompt chains, document analysis, versioning, note-taking, exporting, stakeholder testing, and a roadmap for scaling the solution. Source: https://bluelabellabs.com