Executive Intelligence, based in San Francisco, works at the intersection of AI visibility and product engineering: measuring how a brand appears across the buyer questions people put to AI systems, then building the products, data pipelines, and cloud infrastructure that support an AI-native presence. The agency also offers a fractional CTO arrangement for teams that need technical leadership without a full-time hire.
Work spans product strategy and validation, UX and interface design, data platform and pipeline architecture, and cloud integration across AWS, Azure, and GCP. On the AI side, the team designs agent strategy and workflow logic along with retrieval and knowledge systems, connecting model behavior to the underlying data and infrastructure that make it reliable in production.
Engagements can start narrow or run long: a focused audit of how a brand surfaces in AI answers, ownership of a specific production delivery, or an ongoing partnership across product and engineering. Output is described as production-ready software, data flows, interfaces, and integrations, backed by checks and operating documentation rather than one-off prototypes. The approach ties visibility measurement directly to the engineering work needed to act on it, rather than treating them as separate workstreams.