Home
About
Features
Pricing
Resources
Help
Contact Us
Contact Us
AI Agent Platform
View details
Deploy Enterprise AI Agents with Linkinfra AI
Get Started
Learn More
Trusted by enterprise teams building AI operations
Run multi-agent workflows from one SaaS control plane
Linkinfra AI gives B2B teams one place to build agent workflows, connect business systems, monitor run quality, and control access.
Agent Workflow Builder
Design repeatable AI agent workflows for research, support, sales operations, data tasks, and internal automation.
Enterprise Knowledge Hub
Connect company knowledge, policies, tickets, documents, and databases so agents answer with business context.
Observability & Governance
Track agent runs, tool calls, decisions, costs, latency, and quality signals across teams and workspaces.
System Integrations
Plug agents into CRMs, ticketing tools, data warehouses, SaaS APIs, and internal services without rebuilding workflows.
Get Started
Learn More
Scale AI agent operations with enterprise controls
Give operators, analysts, and customer teams the controls they need to run AI agents safely across production SaaS workflows.
01
Agent Orchestration
Coordinate specialized agents, tools, prompts, memory, and routing logic in production workflows.
02
Tool & API Connectors
Let agents safely call business systems, search knowledge, execute tasks, and return auditable results.
03
Human-in-the-loop Review
Route high-risk decisions to operators, capture approvals, and keep business teams in control.
04
Security & Compliance
Apply role-based access, workspace isolation, audit logs, and policy guardrails for enterprise deployment.
AI Agent Platform
View details
Built for teams moving agent systems into production
Operational teams use Linkinfra AI to move from isolated AI experiments to measurable, governed automation.
Linkinfra AI helped us turn scattered AI experiments into repeatable agent workflows with ownership, audit trails, and measurable output.
Alex Johnson
CTO at TechInnovate
Our support and revenue teams now use governed agents for research, ticket triage, and account preparation without losing human review.
Emily Davis
Marketing Director at RetailPulse
The agent run history and quality metrics give our operations leaders a clear view of cost, latency, accuracy, and workflow adoption.
Michael Lee
CTO at TechInnovate
The MAS workspace lets each department run specialized agents while platform teams manage tools, permissions, and policy from one control plane.
Sarah Martinez
Operations Manager at Visionary Studios
We can test prompts, tools, and approval paths before expanding agents to more teams, which made rollout much more controlled.
James Wilson
Customer Experience Lead at BrightPath
Role-based access, audit logs, and workspace isolation gave our security team enough control to approve production agent usage.
John Thompson
IT Director at SecureNet Solutions
Launch a production MAS program in three phases
Map workflows, deploy agent teams, then scale governance and observability across departments.
Phase
01
Workflow Assessment
Identify high-value operational workflows, required tools, data sources, and approval checkpoints.
Map Workflows
Phase
02
Agent Deployment
Configure agent roles, prompts, tool access, evaluation criteria, and team workspaces for daily use.
Deploy Agents
Phase
03
Governance at Scale
Expand agent programs with usage analytics, cost controls, audit logs, and continuous improvement loops.
Scale MAS
