Engagements
LLM Works delivers production AI capabilities to organizations that need AI working in their business. The following engagements cover the path from architecture decisions through implementation to ongoing operations.
Production AI deployed and maintained inside the customer's infrastructure
LLM Works introduces production AI capabilities. Our engagement covers model deployment, runtime operations, monitoring, and ongoing updates as models and requirements evolve.
In scope. Model selection and deployment, operational runbooks, monitoring and alerting, version upgrades, incident response.
Out of scope. Business strategy, decisions about which capabilities to build.
AI agents built for specific business needs
LLM Works designs and builds production AI agents for a specific customer need, integrated with existing systems, with a defined handoff or ongoing support path. Each agent is scoped to a concrete outcome rather than a general capability.
In scope. Agent design, build, integration with existing customer systems, deployment, handoff or ongoing support.
Out of scope. Multi-quarter bespoke platform rebuilds.
Strategy and integration for AI rollout
LLM Works delivers architecture and strategy for organizations planning or coordinating AI deployment across teams, systems, and vendors. The output is a written plan covering build-vs-buy decisions, integration architecture, and sequencing.
In scope. AI strategy review, integration design, deployment planning, vendor and model selection, sequencing.
Independent assessment of AI surfaces and model boundaries
LLM Works independently reviews an organization's AI surface area: where models touch user data, where boundaries exist between trusted and untrusted inputs, where outputs feed downstream systems. The output is a written assessment with findings and recommendations.
In scope. AI surface area assessment, model boundary review, data flow audit, written findings and recommendations.