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Integrations

Connect many business systems into one governed AI execution layer.

renlyAI is designed for heterogeneous business and enterprise stacks. Agents can read and write across connected systems while approval controls and audit logging keep operations safe and traceable.

System Domains

Horizontal connector coverage

Work and Delivery Systems

Execution workflows for engineering and operations systems.

  • Azure DevOps: work items, boards, repos, test flows
  • Jira and Linear: issue and sprint operations
  • GitHub: repo and pull-request context

Knowledge and Communication

Connect collaboration and documentation with operational context.

  • OneNote and Notion for institutional knowledge
  • Slack and Teams connector workflows
  • Email and message triggers for approvals

Business Data Systems

Run cross-functional workflows beyond delivery teams.

  • Dynamics 365 style CRM and operations entities
  • Customer, account, and activity coordination patterns
  • Audit-ready execution across system boundaries
Cross-system Flow

How one controlled execution spans systems

Example: incident response orchestration across ticketing, messaging, and documentation systems.

1. Trigger
Ingress receives an incident request with tenant and actor scope.
2. Scope
User and project context determine which data and tools are available.
3. Action Plan
Agent prepares ticket updates, team notifications, and evidence note draft.
4. Approval
Write actions requiring human approval pause until explicit confirmation.
5. Execution
Approved actions execute through connector operations.
6. Audit
Actions and outcomes are logged for security review and postmortem analysis.
Model Providers

Provider-neutral model orchestration

Choose model strategy based on cost, latency, and task type while managing vendor concentration risk.

OpenAI

General and advanced reasoning routes

Anthropic

Claude routes and task-specific selection

Azure OpenAI

Enterprise-managed Azure model deployments

Google Gemini

Alternative provider routing and fallback

BYOLLM

Customer keys and infrastructure control

Integrations matter only if execution stays controlled

renlyAI connects business and enterprise systems and keeps approvals, identity, and audit logging in the runtime path. That is the difference between AI demo connectivity and production AI operations.

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