EngineeredWith.ai assists mid-market and enterprise businesses in creating and implementing automation-ready systems that are essential for their operations. Our approach is highly technical, context-sensitive, and tailored to the architecture, compliance, and data requirements of established organizations. Our expertise includes: - Improving internal document and information processing workflows with AI reasoning and automation - Developing AI-enhanced decision-making systems that incorporate secure context, memory, logic flow, and traceability - Creating automated frameworks that integrate internal tools, APIs, and teams using modular architecture - Designing infrastructure that links departments, enhances data flow, and facilitates real-time execution of intricate multi-step processes Every system we develop is closely aligned with the company’s operational realities, encompassing CRM and ERP systems, analytics warehouses, internal dashboards, customer support layers, and compliance tools. We adapt to and work with legacy systems when necessary, providing future-proof infrastructure aimed at transformation. Our clients frequently: - Operate across different geographies, tools, and teams with disconnected internal systems that lead to inefficiencies - Require scalable automation solutions that can handle high volume and variability without failure - Manage sales, finance, logistics, or compliance processes that necessitate structured workflows and data integrity - Seek to implement internal AI capabilities with proper permissions, logging, version control, and adherence to industry standards (HIPAA, SOC 2, GDPR, etc.) Our implementations often feature: - LLMs & Reasoning Engines: OpenAI, Gemini, Claude, Mistral, Llama, Groq, Ollama, and private/local models - Orchestration tools: n8n, LangGraph, Pipedream, Temporal, Airflow, and custom orchestrators - Data & Storage solutions: Supabase, PostgreSQL, Firebase, Redis, Snowflake, BigQuery, RDS, and Airtable - Execution Layers: REST APIs, webhooks, CRON jobs, and queues.