Deployed Labs works with enterprise teams to identify where AI can improve a business workflow, build the system, and move it into production. Our work covers AI strategy, agent development, deployment, and the operating requirements that come after launch.
Each engagement starts by defining the workflow, the business metric it should affect, and how that result will be measured. This gives the team a clear basis for evaluating the system as development moves forward.
Deployed Labs builds a working proof of concept for the selected workflow before full deployment begins. The team can evaluate how the agent performs with its data and systems before moving into production.
Governance requirements are defined during development, including system access, human approval points, and how agent activity will be reviewed. These controls become part of the production design rather than work added after deployment.
Deployed Labs prepares the documentation and operating materials the internal team needs to manage the system after launch. The handoff covers how the agent is monitored, maintained, and updated in production.
The Build-First Protocol means CT Labs prototypes a working agentic demo of your specific workflow before full deployment begins. You see agents running against your actual data, inside your security environment, with quantified ROI projections, before committing to a production contract. No other firm in the market does this at scale.
CT Labs is the only firm that places the human AI leadership, CPOs, CTOs, SVPs of AI, and deploys the production agents at the same time. Your organization builds internal AI capability and captures agent-driven ROI in parallel, from the same engagement.
Every CT Labs agent is purpose-built for a specific enterprise workflow, pre-governed with audit trails, access controls, and evaluation benchmarks, and deployable inside your existing infrastructure without system replacement. 70+ deployments across finance, supply chain, HR, legal, GTM, and operations.
C&T's network of 5,000+ AI-native executives, including founders, CAIOs, ML/AI PhDs, and CTOs at OpenAI, Anthropic, DeepMind, Meta, AWS, and X AI, feeds directly into CT Labs' agent design and deployment. You get the patterns that are working at production scale right now, not last year's playbook.
CT Labs works with enterprise organizations that recognize the ROI potential of agentic AI but need a partner that ships production systems, not strategy reports. Engagements typically start with a VP of Engineering, CAIO, COO, or CEO who has already run pilots and wants to see real deployment. CT Labs has deployed agents to companies with revenue ranging from $1B to $6B, across finance, insurance, manufacturing, supply chain, legal, and GTM operations.
Working agents deployed inside enterprise workflows. Hover a clip to watch it in motion.


