Context is the first AI Office Suite that automates your workflow by creating documents, presentations, spreadsheets, and more using your data, tools, and style.
Intent
I need it when
Maintain human oversight and control over AI agent execution in critical business processes
Context keeps experts in the loop through review, approval, and annotation workflows, with secure sandboxes and human checkpoints ensuring agents operate within defined guardrails and policy constraints.
Deploy AI agents securely into enterprise workflows with controlled access to systems and data
Context's Engine layer connects enterprise data, apps, tools, and sandboxed computers with permissioned integrations, allowing agents to run safely within enterprise security boundaries while respecting access controls and permissions.
Measure and continuously improve AI agent quality and performance over time
Context's Evals layer captures traces, rubrics, scoring, and annotations from every agent run, enabling teams to define quality standards, review outputs, and feed evaluation feedback back into the system for continuous improvement.
Turn one-off AI agent work into repeatable, auditable operating patterns
Context captures operational learning from every run and stores workflow context over time, enabling teams to convert individual agent tasks into reusable workflows with compounding improvements and full traceability.
Collaborate between humans and AI agents on complex business deliverables
Context's Workspace provides a collaborative surface where humans, agents, apps, and data come together, enabling teams to draft, review, coordinate human-agent work, and keep context attached to outcomes.
Drop
Not a fit when
Organizations seeking simple, off-the-shelf AI tools without enterprise integration requirements
Teams that need AI agents without human review, approval, and control workflows
Businesses operating in non-regulated industries where audit trails and traceability are not critical
Small teams or startups with limited IT infrastructure for permissioned system integrations
Use cases requiring real-time autonomous agent execution without evaluation and quality measurement loops