Built around practical implementation
Most businesses understand what AI could do for their operations. The gap is implementation. Lucent exists to close that gap—designing and building automation systems that run inside your business, not alongside it.
The operating model
Most companies know AI can improve their operations. The problem is not awareness—it is implementation. Building practical automation systems requires technical depth that most businesses do not have in-house, and cannot justify hiring for full-time.
Lucent fills that gap. We function as a fractional AI systems architect—designing and building the infrastructure that automates your workflows, captures leads, and removes manual overhead from your operations.
Most automation projects stall because tools are assembled before the operational logic is mapped. We work in the opposite direction: workflow analysis first, integration design second, build last. By the time we start building, every data handoff and edge case is already accounted for.
The result is systems your team reaches for every day. Infrastructure that runs without babysitting. Operational capacity that grows without requiring constant reinvestment in headcount or manual oversight.
Donovan Fitch
Donovan brings deep experience integrating LLM APIs into production systems, designing multi-step agentic workflows, and architecting AI automation built for production environments—not proofs of concept.
His work spans lead automation systems, internal copilot development, CRM integrations, and end-to-end workflow automation—always with an emphasis on practical implementation over theoretical frameworks.
See what we'd build for your business
A direct 30-minute conversation about your operations, what you want to automate, and whether Lucent is the right partner to build it. No pitch. Clear answers.