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
Integrations
Connect many business systems into one governed AI execution layer.
Renly 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
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
Connector guides
Dedicated integration pages
Xero
Reconcile, report, and invoice with governed agents that answer cash-flow questions in seconds.
Salesforce
Query your pipeline in plain English, run reports, and draft record updates behind approval cards.
Google Workspace
Gmail, Docs, Sheets, and Calendar from one governed runtime, with approval-gated sending.
WordPress
Draft posts with a live preview, audit site SEO from the sitemap, and publish on approval.
Draft posts, attach images, and preview before publishing to a profile or company page.
Azure DevOps
Query work items, generate sprint reports from live data, and trace blocked chains.
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
Renly 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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