--- title: "AI Engineering Services | Margins" description: "We design and build production AI around your operations — models, data pipelines, enterprise integrations, applications and infrastructure." url: https://margins.agency/services/ai-engineering --- AI Engineering # Engineer AI into the way your business works. AI creates value when it moves beyond the model and becomes part of the systems, data and workflows your business already depends on. Margins designs and builds production AI systems around your operations — from models and data pipelines to enterprise integrations, applications and infrastructure. - Talk to an AI Engineer - [See our work](https://margins.agency/client-outcomes) Production AI ## The model is only one part of the system. Production AI requires more than AI. A model can perform brilliantly in isolation and still fail to create value inside a real business. It needs access to the right data. It needs to understand business rules. It needs to connect to existing systems. People need a practical way to interact with it. Exceptions need somewhere to go. Performance needs to be monitored. And the entire system needs to remain reliable as the business changes. That is the engineering problem we solve. 1. 01 **AI** LLMs · Machine Learning · Computer Vision · Voice 2. 02 **Data** Pipelines · Vector databases · Enterprise data · Documents 3. 03 **Software** Applications · Interfaces · APIs · Backend systems 4. 04 **Integration** ERP · CRM · Internal systems · Third-party platforms 5. 05 **Infrastructure** Cloud · Private cloud · On-premises · MLOps 6. 06 **Operations** Monitoring · Evaluation · Observability · Improvement AI engineering capabilities ## The right technology for the problem. 01 / 06 ### Generative AI & LLM Systems Production applications built around language models, enterprise data and real business workflows. - LLM applications - Structured generation - Tool use - Model orchestration - Evaluation and guardrails - Open-source and proprietary models [Explore Enterprise AI](https://margins.agency/services/ai-engineering) 02 / 06 ### AI Agents AI systems capable of reasoning across information, using tools and executing multi-step business workflows. - Agentic workflows - Multi-agent systems - Tool integration - Human-in-the-loop - Workflow orchestration - Agent monitoring [Explore AI Agents](https://margins.agency/services/ai-engineering) 03 / 06 ### Enterprise Knowledge & RAG Make proprietary business knowledge accessible and usable by AI without relying solely on what a generic model already knows. - RAG architectures - Vector search - Knowledge retrieval - Document intelligence - Enterprise search - Knowledge graphs [Explore Enterprise Knowledge & RAG](https://margins.agency/services/ai-engineering) 04 / 06 ### Predictive AI & Machine Learning Use historical and operational data to anticipate what is likely to happen next. - Forecasting - Anomaly detection - Churn prediction - Risk detection - Recommendation systems - Optimization [Explore Predictive AI](https://margins.agency/services/ai-engineering) 05 / 06 ### Computer Vision Turn images and video into structured information and operational actions. - Object detection - Image classification - Visual inspection - OCR / document vision - Video analysis - Custom vision models [Explore Computer Vision](https://margins.agency/services/ai-engineering) 06 / 06 ### Voice AI Natural-language interfaces that can understand, process and act on spoken information. - Speech recognition - Voice agents - Transcription - Classification - Structured extraction - Workflow integration Built around your business ## AI belongs inside the operation. The most valuable enterprise AI systems rarely operate alone. They need to understand what is happening across the business and act through the systems the company already uses. Margins engineers AI around your existing technology environment rather than forcing the business to operate around the AI. ### ERP & core systems Connect AI to the operational source of truth. ### CRM & customer platforms Bring intelligence directly into commercial workflows. ### Data infrastructure Work across structured and unstructured enterprise data. ### Internal software Integrate with proprietary systems, APIs and workflows. Production engineering ## A prototype proves something can work. Production proves it can work every day. Production AI has to survive things demos don’t. A demo asks Production asks Does the model work? What happens when it doesn’t? Can it answer the question? Can we measure answer quality? Can it process the data? What happens when the data changes? Can it call the system? What happens when that system is unavailable? Can the agent complete the task? When should a human take over? How accurate is it today? How do we know it is still accurate six months from now? We make these questions part of the architecture — not problems left for after launch. How we engineer ## From business case to production architecture. **Our engineering responsibility doesn’t end at deployment.** Margins can continue operating, monitoring and improving the system through Forward Deployed Engineering and Managed AI. - [Forward Deployed Engineering →](https://margins.agency/services/forward-deployed-engineering) - [Managed AI →](https://margins.agency/services/managed-ai) 1. 01 — Define success — Translate the business objective into measurable system requirements. 2. 02 — Architect — Define models, data, integrations, software, infrastructure and operational boundaries. 3. 03 — Validate — Prove the highest-risk technical assumptions early. 4. 04 — Engineer — Build the AI system and the software around it. 5. 05 — Integrate — Connect it to enterprise data, systems and workflows. 6. 06 — Productionize — Deploy, monitor, evaluate and establish operational controls. 7. 07 — Iterate — Measure what happens in the real business and improve from there. Enterprise architecture ## Build AI without giving away what makes your business valuable. Your proprietary data, processes and organizational knowledge are increasingly part of your competitive advantage. We design enterprise AI so that control over those assets stays where the business needs it. ### Your cloud Deploy into the customer’s existing cloud environment and technology stack. ### Private infrastructure Build within isolated, customer-controlled environments. ### On-premises Deploy locally where operational, regulatory or data requirements demand it. The objective isn’t to move your business into somebody else’s AI environment. It’s to bring AI into yours. Our technology ## We don’t start every AI system from zero. Enterprise AI implementations repeatedly need the same underlying capabilities: connecting models and data, orchestrating workflows, applying business rules, monitoring execution and operating reliably over time. That’s why we built Rivermind. **Rivermind is the operational layer behind enterprise AI.** Margins uses it to accelerate custom implementations and provide the orchestration, integration and operational control required once AI moves into production. [Explore Rivermind (opens in a new tab)](https://getrivermind.com/) Senior engineers, architecture through production ## The people who scope the system understand how to build it. Complex AI implementations lose momentum when strategy, architecture, data, software and AI are handed between disconnected teams. Margins brings those disciplines together. 01 ### AI & ML Engineers Models, agents, RAG, computer vision and predictive systems. 02 ### Software Engineers Production applications, APIs and backend systems. 03 ### Data Engineers Pipelines, enterprise data and AI-ready infrastructure. 04 ### Cloud & DevOps Engineers Deployment, infrastructure, observability and reliability. 05 ### UX & Product Interfaces that make AI useful inside actual workflows. **40+** Skilled professionals **60+** Projects delivered **$100M+** Measured client impact **#11** Deloitte Technology Fast 50 Central Europe Engineering is one part of the journey ## Need more than engineering? You don’t need to arrive with a technical specification. Margins can start before the solution has been defined and stay after it enters production. Before ### [AI Strategy & Consulting](https://margins.agency/services/ai-strategy-consulting) Identify the right opportunity and define the business case. Explore AI Strategy → Now ### AI Engineering Design and build the production system. You are here After ### [Managed AI](https://margins.agency/services/managed-ai) Operate, monitor and continuously improve it. Explore Managed AI → From AI strategy to AI in production. One partner. Build with Margins ## Have an AI opportunity that needs to become real? Whether you have a defined specification, an early concept or simply a business problem you believe AI can solve, we’ll help determine the right technical path to production. [Talk to an AI Engineer](https://margins.agency/contact) [Explore client outcomes →](https://margins.agency/client-outcomes) Start with the problem. We’ll work out the architecture.