Deployed Labs helps enterprise teams decide where to apply AI, what needs to be built, and how to move those systems into production. Our consulting covers AI assessment, strategy, deployment planning, and LLM implementation.
Deployed Labs works with leadership and engineering teams to identify the right AI use cases, make the technical decisions required for each one, and plan the path to production.
You need to decide where AI investment makes sense, who should own it, and what results the business should expect.
You need a technical plan that fits your existing systems and defines how the AI will be tested and deployed.
You need to identify where AI can improve an existing workflow and what needs to change before it can be used in production.
Identify which use cases are worth pursuing and what data, systems, or access limitations need to be addressed.
Map how the AI system will connect to existing data and applications, then define what needs to be built.
Choose the model approach based on the performance requirements and cost of each workflow.
Set how the system will be tested, monitored, and reviewed before and after launch.
Assess a specific workflow, its technical requirements, and what it would take to move it into production.
Develop the AI strategy and technical direction before implementation begins.
Prepare an existing AI system for production, including testing, monitoring, and rollout planning.
Work through model selection, workflow design, evaluation, and the technical requirements for using LLMs in production.
Deployed Labs can also take the work from consulting into implementation and production deployment.
Tell us which workflow you are considering for AI and what work has already been done. Deployed Labs will recommend the next step based on where the project stands today.
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