# Reflekt Lab > Reflekt Lab is an AI consultancy that turns messy data and messages into reliable business systems — cleaning unstructured supplier and customer files (Excel, CSV, Word, PDF, scanned documents) into import-ready data, building MCP servers that connect AI to existing tools, shipping an AI-native CRM, and running AI strategy workshops. ## About Reflekt Lab builds AI-powered data pipelines and operations tooling. The core data service turns raw, inconsistent files into clean, validated formats ready to import into any ERP or SaaS platform, typically saving 80%+ of data-prep time with a high first-import success rate, with domain-specific models and a human remediation guarantee. The team also builds Reflekt CRM (an AI-native sales platform), designs and runs MCP (Model Context Protocol) servers that expose existing business systems as typed, permissioned tools for any AI client, and runs AI strategy workshops and fractional-CTO engagements. It operates its own stack through a single MCP server with a couple hundred tools in production. Content covers practical AI engineering: data cleanup, MCP, RAG, vision LLMs, cost-efficient inference, legacy ERP modernization, turning chat/voice messages into structured business objects, and measuring AI-era engineering productivity. ## Pages - [Home](https://reflektlab.ai/): Overview of Reflekt Lab's AI solutions. - [Data Cleanup](https://reflektlab.ai/data/): AI data cleanup for ERP and SaaS — transform raw, inconsistent files into clean, import-ready data. - [Reflekt CRM](https://reflektlab.ai/reflekt-crm/): AI-native sales intelligence platform with AI research, automated follow-ups, gamification, a LinkedIn Chrome extension, and MCP integration. - [MCP Servers](https://reflektlab.ai/mcp/): We design, build, and run MCP servers that expose your systems as typed, permissioned tools any AI client can use safely. One server, every AI client. - [AI Workshops & Fractional CTO](https://reflektlab.ai/workshops/): Hands-on AI strategy workshops that build internal adoption and surface your highest-ROI AI projects, ranked and anchored to your operations. - [Wine & Beverage ERP Data Cleanup](https://reflektlab.ai/solutions/wine-erp-data-cleanup/): Deduplicate and standardize wine catalogues before they hit your ERP — AI that understands producers, cuvées, and vintages, with a human approving every merge. - [Custom ERP & Internal Tooling](https://reflektlab.ai/solutions/custom-erp-tooling/): Purpose-built business software — quoting, pricing, profitability dashboards, voice-to-order and AI-assisted editing — built around how your team works and wired into the systems you already run. - [Technology](https://reflektlab.ai/technology/): The multi-agent AI infrastructure powering Reflekt Lab — secure, compatible, and built for enterprise. - [Blog](https://reflektlab.ai/blog/): Articles on applied AI, data engineering, and operations. - [FAQ](https://reflektlab.ai/faq/): Answers about Reflekt Lab — AI data onboarding, Reflekt CRM, MCP work, and the technology stack. - [Contact](https://reflektlab.ai/contact/): Get in touch with the team. ## Key articles - [What Is MCP — and When It Beats Building Your Own Integrations](https://reflektlab.ai/blog/what-is-mcp/): The Model Context Protocol in plain terms, how it differs from a normal API integration, and a decision table for when to use MCP versus a custom integration. - [91 Tools, One Server: Running Sales, Invoicing, and Inventory From a Single MCP Server](https://reflektlab.ai/blog/91-tools-one-server-mcp-endpoints/): How Reflekt Lab wired its operations stack into one MCP server, and the lessons from running it in production. - [Turning Messy Chat Messages Into Bulletproof Business Objects](https://reflektlab.ai/blog/chat-messages-to-business-objects/): Reliably turning WhatsApp and Telegram messages (including voice notes) into structured business objects — constrained AI extraction, a dry-run preview the user confirms, and MCP as the only write path. - [The Unsexy Software You Already Own Might Be Your Best AI Bet](https://reflektlab.ai/blog/legacy-erp-revival/): Why replacing a legacy ERP is often the wrong move — using AI and MCP to wrap a modern, conversational interface around software you already own. - [How We Helped a Wine ERP Stop Losing Weekends to Data Cleanup](https://reflektlab.ai/blog/how-we-helped-a-wine-erp-stop-losing-weekends-to-data-cleanup/): A case study on cleaning 30,000 messy wine entries with an AI data pipeline. - [What 30,000 Messy Wine Entries Actually Look Like](https://reflektlab.ai/blog/what-30000-messy-wine-entries-actually-look-like/): A deeper look at what real-world messy supplier data looks like and how it gets cleaned. - [RAG Isn't AI Memory — It's Something More Powerful](https://reflektlab.ai/blog/rag-retrieval-augmented-generation-explained/): A practical explanation of Retrieval Augmented Generation and where its real difficulty lies. - [Your Velocity Chart Is Lying To You](https://reflektlab.ai/blog/your-velocity-chart-is-lying-to-you/): How AI tooling breaks the one-dev-hour-ships-one-point assumption, and how to learn each person's real productivity multiplier from history. - [AI Productivity Is a New Discipline. Even for CTOs.](https://reflektlab.ai/blog/ai-productivity-is-a-new-discipline/): What it means for planning, hiring, and capability-building once AI productivity becomes a moving, per-person variable. ## Sitemap - [Sitemap](https://reflektlab.ai/sitemap-index.xml)