Use case · AI agent developers
Multi-Channel Integration for AI Agent Developers
Connect messaging, email, and scheduling through one project boundary so agents can act with explicit tools instead of hidden provider power.
Project-scoped connection pathIllustrative agent workspace with bounded tools and connected-account context.
Agent examples
Develop AI Agents with Multi-Channel APIs
Build sales, recruiting, support, and scheduling agents that can use only the actions a customer has connected and your product has approved.
AI sales agent
Research, enrich, contact, and schedule with explicit tool boundaries.
AI recruiting agent
Coordinate candidate context, communication, and interview steps.
AI support agent
Read permitted conversation context and return observable actions.
Reliable agent context
Build AI Agents That Truly Deliver Value
Give the model a stable tool contract while Moira keeps connected-account authorization, project scope, and provider recovery outside the prompt.
- Unified inbox for seamless communication
- Historical data exposed through explicit tools
- Connected profile context for agent workflows
Sarah Laurent
NowYes, I’d be happy to find a time.
Michael Kim
2hThanks for the context — let’s continue.
Amma Chen
3hThanks for the context — let’s continue.
Search and enrich
AI Agent Gateway: Automate LinkedIn Search and Data Sync
Let the agent request supported professional search and enrichment through a bounded tool, then return structured results with source and capability context.
- Effortless search automation
- Advanced lead enrichment
- Traceable result sync
- Professional email
- [email protected]
- Company
- TechCorp · Software
- Experience
- 12 years · Engineering leadership
- Skills
- System designAI platformsTeam building
Scheduling tools
Integrated Calendar Sync to Empower Your AI Agents
Give agents a context-aware scheduling tool that checks permitted calendars, proposes a time, and returns the confirmed event to the workflow.
- Context-aware meeting scheduling
- Multi-calendar support
- Event management with APIs
MonTueWedThuFriSatSun
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Agent engagement
Build Customized Sequences for Your AI Agents
Compose multi-channel engagement flows with explicit step limits, response-aware stopping rules, and a visible human recovery path.
- Create multi-channel engagement flows
- Fully customizable sequences
- Human approval where the product requires it
Prospecting sequenceReply-aware workflow
Active- 1Connection requestImmediately
- 2Follow-up messageWait 2 days
- 3Email follow-upWait 3 days
- 4Meeting reminderWait 2 days
Analytics and controls
Optimize AI Agent Performance with Advanced Analytics and API Integration
Measure tool outcomes, understand delivery and response state, and show the account or policy constraint when an agent cannot continue.
- Advanced analytics for smarter decisions
- Limits management for safe, scalable operation
- Project-level invocation evidence
Developer constraints
Challenges Faced by AI Agent Developers
Platform fragmentation, limited implementation time, stale connections, monitoring gaps, and security requirements make communication tools difficult to operate directly.
- One multi-channel gateway
- Realtime synchronization
- Effortless integration with explicit boundaries
Connection actionsHealthy
Message deliveryHealthy
Profile readsReview
Three practical steps
Integrate and Start Building Better AI Agents Today
Set up a project-scoped API, implement only the tools your agent needs, then activate connected channels after the customer completes authorization.
- Set up your API project
- Implement the tool contract in your software
- Activate connected multi-channel features
const account = await moira.accounts.connect({ provider: "linkedin", projectId: "project_recruiting", scopes: ["messages:read"],});await moira.webhooks.verify(account.event);Expert support
Optimize Your Integration with Expert Support
Use operational account evidence, webhook delivery history, and scoped test projects to resolve integration issues without exposing customer secrets.
Explore the API 20 Operational0 Authentication required0 Paused
Connected accounts 4 operational
Recruiting teamProject · Production Operational
Shared mailboxProject · Production Operational
Candidate careProject · Production Operational
Interview calendarProject · Production Operational
One operating layer
A clear path from connected account to product outcome.
Use one project boundary for connection setup, supported actions, realtime evidence, and customer-controlled recovery.
Trust by design
Built-In Security and Compliance
Keep model execution separate from customer credentials with scoped tools, auditable invocations, encrypted connections, and revocable project access.
Explicit read and write scopesProject-scoped API keysInvocation audit historyCustomer-controlled revocation
Frequently asked questions
FAQs
Practical answers for product teams planning a connected communication workflow.
What is a multi-channel integration for AI agents?
It is a bounded set of tools that lets an agent use connected communication and scheduling capabilities without receiving provider credentials.
Can I customize the tools my agent can use?
Yes. Expose only the supported tools and scopes needed for the product workflow, then enforce the same policy server-side.
How quickly can I integrate the gateway?
Start with one project, one connected account, and one observable tool call before expanding to more channels or autonomous steps.
How is agent activity audited?
Record the project, tool, connected-account reference, input boundary, result, and related webhook evidence without logging secrets.
Quick start
Let’s connect your first bounded agent tool.
Prove one observable action end to end, then expand the tool policy and channel coverage.
Build now 20 Operational0 Authentication required0 Paused
Connected accounts 4 operational
Recruiting teamProject · Production Operational
Shared mailboxProject · Production Operational
Candidate careProject · Production Operational
Interview calendarProject · Production Operational