Engagements
Production AI capabilities delivered to organizations that need AI working in their business. Four engagement shapes covering the path from architecture decisions through implementation to ongoing operations.
Production AI deployed and maintained in your environment
Production AI capabilities operated by LLM Works inside the customer's infrastructure. The work 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
Production AI agents designed and built 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
Architecture and strategy work 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
Independent review of an organization's AI surface area: where models touch user data, where boundaries exist between trusted and untrusted inputs, where outputs feed downstream systems. 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.