--- title: "AI Implementation Services — Cheesecake Labs" description: "We take your highest-value AI workflows live in 8–12 weeks: RAG, enterprise search, and agents in production, with governance built in from the start." url: "https://cheesecakelabs.com/services/ai-implementation" locale: "en" updatedAt: "2026-08-05T19:51:38.688Z" --- # AI Implementation Services — Cheesecake Labs > We take your highest-value AI workflows live in 8–12 weeks: RAG, enterprise search, and agents in production, with governance built in from the start. ## AI implementation that makes it to production. We bring your highest-value workflow into production in 8-12 weeks, with governance built in from day one. ## Schedule a call › Not a strategy deck. Not a demo that dies in review. ## AI live in SOC 2 and HIPAA environments since 2024. *For* CIOs, CTOs, and data leaders under executive pressure to show AI results with security and governance answered up front. ### Production Workflows Enterprise search, RAG, and agent workflows connected to the systems you already run, taken from use case to production. ### AI Apps, Agents, and MCP Servers Production-grade AI apps, agents, and MCP servers built around your workflows. Owned by you, without platform lock-in. ### AI Data & Retrieval Engineering Semantic models, pipelines, retrieval, and permissions that ground agents in trusted, current data. ### Evaluation & Agent Operations Simulations and evals before launch. Production guardrails, human escalation, monitoring, and controlled improvement after. ## What we do ## How we automate workflows and get AI into production Weeks 1–2: AI Workflow Sprint. Weeks 3–12: AI Workflow to Production Squad. Then we measure results, monitor the agents, train your team, and take the next workflow live. ## This is AI working inside your business. For AI across your software delivery process, explore AI-Accelerated Delivery. ## AI-Accelerated Delivery → AI across your whole software lifecycle. An agentic SDLC that ships faster and leaves your team able to run it. ## Our work ## Map your first workflow › ### What does an AI implementation partner do? Takes AI from a plan to a system your business runs on. In practice: we find the workflow with the highest validated ROI, map the data and access gaps in the way, build the RAG, search, or agent system, and run it in production with governance and monitoring in place. ### How fast can we get AI into production? The AI Workflow Sprint prioritizes the workflow and validates the ROI; the AI Workflow to Production Squad then takes it live in 8–12 weeks — in production with governance and monitoring in place, not a demo on a laptop. ### Our data isn't ready. Can we still start? Yes — that is what the sprint is for. We map the data and system gaps standing between your systems and the workflow, and the production roadmap prices them in. Most companies are readier than they think for the first workflow. ### How do you handle security, privacy, and governance? Governance is built in from the start, not bolted on at the end: usage visibility, audit trails, PII boundaries, and access controls that hold up in a regulated company. Your data stays inside the boundaries you set. ### Which models do you work with? We are model-agnostic: Claude, OpenAI, Gemini, and open-weight models, chosen per workflow for quality, cost, and governance fit — no platform bet you can't unwind. ### What's the difference between AI Implementation and AI-Accelerated Delivery? AI Implementation puts AI to work inside your business: enterprise search, RAG, and agents running in production. AI-Accelerated Delivery puts AI to work in how your software gets built: an agentic SDLC that ships faster. 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