What they are
Deepwork Agents are governed cognitive work systems built around enterprise roles, work objects, and acceptance criteria.
Product
Governed agents that produce accepted work products.
Deepwork Agents combine role specialization, workstreams, memory, tools, evidence, and human review to support enterprise cognitive work beyond chat.
What they are not
They are not generic chat interfaces. They preserve workflow context, call controlled tools, ground outputs in evidence, and invite human approval at meaningful gates.
Operating model
How Deepwork Agents work.
Workstreams
Define the sequence of activities, dependencies, review gates, and expected outputs.
Memory
Preserves institutional context, previous decisions, reusable assets, and accepted patterns.
Tools
Connects agents to controlled systems, documents, repositories, and workflow integrations.
Skills
Encodes specialized operating knowledge for proposal engineering, synthesis, compliance, and validation.
Review loops
Supports expert steering, challenge, approval, and final acceptance before work is reused.
Evaluate Deepwork Agents for your enterprise workflow.
Discuss where accepted work products can create immediate value.
Request a Demo