CommandLyne Assistant
A natural-language command interface for asking questions and completing work across connected systems.
Cost-efficient enterprise AI orchestration platform
The Governed AI Layer For Your Google Stack
Control every AI agent, model, workflow, and memory from one secure CommandLyne workspace.
Book a DemoOne Governed Control Layer
One platform for enterprise AI
CommandLyne unifies AI agents, models, workflows, memory, and enterprise tools within one secure orchestration platform
CommandLyne Agents
Team-specific AI workspaces with their own tools, workflows, memory, models, and permission boundaries.
Workflow Automation
Create scheduled, event-driven, or on-demand workflows using natural-language instructions.
Multi-Model Hub
Connect and govern Gemini, Claude, OpenAI, and other supported models without being locked into one provider.
Commandlyne Assistant
One window. Every instruction.
Type what you need in plain language. CommandLyne determines which data, models, tools, and actions are required to complete the task.
What CommandLyne Can Do
Analyze and Research
Combine information from enterprise data and approved external sources to produce structured insights.
Generate Content
Create reports, documents, emails, summaries, and updates grounded in company context.
Execute Work
Send emails, update documents, create Jira tickets, schedule events, and complete multi-step tasks.
Surface Proactive Insights
Identify important updates, risks, and opportunities before teams search for them.
How Commandlyne Works
Every AI action is permissioned, traceable, and auditable.
CommandLyne uses three connected layers to move securely from enterprise information to intelligent action.
01. Data Layer
Connect Google Workspace, Jira, browser-based systems, and other enterprise tools through permission-scoped access.
Permissioned Access02. Intelligence Layer
Interpret natural-language requests, apply personal and team memory, and select the right AI model for the task.
Intelligent Routing03. Execution Layer
Turn instructions into actions across connected systems, with approval checkpoints and audit logging built into every workflow.
Controlled ExecutionGovernance built in, not added later.
CommandLyne uses three connected layers to move securely from enterprise information to intelligent action.
Explore Governance and Access ControlRole-based AI access
The Org Admin, Team Admin and User hierarchy controls who can use which agent, model, workflow and data source.
Approval and audit
Sensitive actions can require human approval. Every model call, data access and workflow execution is recorded.
Multi-model control
Route work to approved models according to role, task complexity, latency and cost instead of forcing every request through one model.
Isolated execution
Keep agent execution environments separated to reduce cross-user and cross-workflow exposure.
Customer Evidence and Outcomes
Discover how AI Operators across departments are using CommandLyne to rewire the way their companies work.
- Hours saved per user every week
- 40+
- Workflow error reduction
- 95%
- AI-spend savings
- 29%
- Reseller markup comparisons
- 35%
Commandlyne Assistant
One request. A controlled path to execution.
Five-step journey
- Step -01
Understand
CommandLyne interprets the request and identifies the systems and steps required.
- Step 02
Govern
The platform checks the user's role, approved models, available data, tool permissions and budget rules.
- Step 03
Ground
Relevant information is retrieved from approved connected sources and permitted personal or team memory.
- Step 04
Plan
CommandLyne creates an ordered execution plan and previews what will happen.
- Step 05
Execute
Approved actions run across connected tools and are recorded in the audit trail.
Commandlyne Across The Enterprise
One governed AI platform. Different outcomes for every department.
Discover how AI Operators across departments are using CommandLyne to rewire the way their companies work.
Engineering
Turn meetings into Jira tickets
Turn meeting action items into structured Jira issues automatically.
Summarize sprint activity
Generate concise summaries from Jira activity and sprint progress.
Retrieve technical context across tools.
Pull relevant decisions and background from Jira, Gmail, and Drive.
Customer Service
Classify incoming issues
Identify issue type, urgency, and correct support route.
Create tickets
Create Jira cases with the relevant customer and issue context.
Draft responses
Prepare accurate replies using approved knowledge sources.
Track resolution
Keep case activity and progress connected through final resolution.
Sales
Research prospects
Gather relevant account and prospect context before reps engage.
Generate ROI reports
Create ROI and TCO reports using customer inputs and business data.
Surface deal signals
Identify meaningful lead and deal activity across Gmail and Calendar.
Draft contextual responses
Prepare relevant prospect responses using account and conversation context.
Marketing
Monitor competitors
Track competitors continuously and capture relevant market activity.
Analyze market changes
Turn competitor and market activity into clear, actionable insights.
Create content grounded in approved sources
Use research and insights to create grounded content drafts faster.
People and HR
Retrieve policies
Retrieve approved policies and internal guidance from connected company information.
Support onboarding workflows
Bring relevant information and repeatable steps into employee onboarding workflows.
Coordinate recurring communications securely
Automate routine communications while keeping access and execution controlled.
IT and Security
Control models
Manage which AI models are available across users, teams, and tasks.
Manage permissions
Apply role-based access across agents, workflows, data, and connected tools.
Track AI activity
See how AI interacts with models, enterprise data, tools, and channels.
Audit activity
Prepare accurate replies using approved knowledge sources.
Finance
Understand AI costs by model, user, department,
Track AI usage and spend across models, users, teams, and workflows.
Reduce duplicated AI subscriptions
Identify overlapping tools and unmanaged AI spending across departments.
Enterprise control around every AI action.
Bring your agents, models, data, workflows, organizational memory, access controls, and AI spending into one governed workspace.