AI Enablement
“Harness generative AI to unlock new capabilities and efficiencies. Expert LLM integration, prompt engineering, and RAG systems for digital products.”
“From idea to production, Telos builds scalable AI-powered products with real-world traction. Your clients don't just launch, they grow, get acquired, and scale globally.”
“Harness generative AI to unlock new capabilities and efficiencies. Expert LLM integration, prompt engineering, and RAG systems for digital products.”
“From operations to support to reporting, Telos Labs designs custom AI workflows connected to your business. Built in weeks, not quarters.”
“Five questions surface the cost risks that demos hide: What does an AI feature look at by default, the thing a user has open or everything you've ever stored? Does the system warn users approaching a cost limit or actually stop them?”
“A warning is a suggestion, and your heaviest users will click through it. A hard cap enforced on the server stops the action from running until an administrator raises the limit. When evaluating any AI product, ask specifically whether limits can be bypassed, because a limit that can be bypassed is not a limit.”
“Not necessarily, but you should change the shape of the commitment. Thirty minutes of questions in a vendor meeting is the cheap version of this discovery. The expensive version arrives eighteen months in, itemized, after the architecture is locked.”
“We've worked on SaaS, web/mobile apps for AI, cybersecurity, legal tech, fintech, healthcare, e-commerce, and more. With significant experience in complex industries like healthcare, we're excited to take on any challenge. Translating complex jobs to digital products requires understanding your users' work environment, and we excel at this.”
“Since the era of LLMs has arrived, almost all our work has included a strong AI component. We've developed features across products using LLM integrations, including Retrieval-Augmented Generation (RAG) and recommendation engines with vector embeddings. We've integrated with OpenAI and Anthropic for LLM functionality.”
“We treat security as a product requirement from day one: least-privilege access, encrypted data in transit and at rest, dependency and patch hygiene, and secure SDLC practices. We align with SOC 2–style controls where projects require them, sign NDAs, and work with your team on threat modeling, vendor reviews, and incident response expectations.”
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