Frequently Asked Questions

TEO CO designs, builds, and deploys AI automation systems and agentic AI pipelines for businesses. We handle everything from identifying where AI will have the most impact in your operations, to building and deploying the systems themselves. Our work spans AI automation, autonomous agent architectures, workflow design, data preparation, LLM fine-tuning, and retrieval-augmented generation.

We work with mid-size and enterprise organizations across industries including logistics, financial services, healthcare, professional services, and technology. Our clients are typically past the "curious about AI" stage and ready to deploy production-grade systems that solve specific operational problems.

Not at all. Our Data Cleansing & Preparation service is specifically designed for businesses whose data is fragmented, inconsistent, or not yet AI-ready. We frequently run data preparation work as the first phase of a broader build engagement.

AI automation handles defined, repeatable tasks, moving data, triggering actions, and executing processes without human involvement. Agentic AI goes further: these are systems that reason through multi-step problems, make decisions across tools and contexts, and act autonomously to achieve broader goals. We build both, and often combine them in the same deployment.

AI Opportunity Mapping engagements typically take two to four weeks. Focused automation or agent builds under the Foundation tier run six to ten weeks. Multi-system Scale engagements typically run twelve to sixteen weeks. Enterprise timelines are scoped individually.

Yes. Integration with your existing stack is a core part of every engagement. We connect to CRMs, ERPs, databases, APIs, communication platforms, and third-party services as required by the project scope.

We apply industry-standard security practices across all engagements, including encrypted data transfer, access controls, and strict data handling protocols. We do not retain client data beyond the scope of the engagement and are happy to sign NDAs and data handling agreements before work begins.

Yes. All build tiers include a defined post-launch support period. Clients on Scale engagements receive 60 days of post-launch support and a quarterly performance review. Ongoing maintenance and monitoring arrangements are available for Enterprise clients.

Yes. Our LLM Fine-Tuning & RAG service covers dataset preparation, model selection, fine-tuning execution, evaluation, and production deployment. We work with both open-source models and API-based models depending on your requirements and data sensitivity.

Contact us at Info@teoco.co and briefly describe what you are trying to solve. We will schedule a no-cost scoping call to understand your situation and determine whether and how we can help. There is no commitment required to have that initial conversation.