Siesta AI vs Microsoft 365 Copilot

Native connectors across your enterprise stack — Microsoft 365, Google, Slack, Notion, Confluence, Jira, Salesforce, HubSpot, GitHub, Zendesk, Box, Dropbox and more.

Strong inside Microsoft 365 surfaces. Connecting non-Microsoft sources requires licensed Graph connectors or partner extensions.

Mirrors source-system ACLs in real time; users only see what they are entitled to across every connected app.

Inherits Microsoft Graph permissions natively; permission coverage of third-party sources varies by connector.

Persistent organisational memory shared across users, agents and departments — context is never lost between sessions.

No equivalent shared-memory layer. Context is per-session or per-chat; organisational knowledge lives in SharePoint files.

Role-based access control, department scoping and granular data-source permissions managed from a single admin panel.

Access managed through Microsoft 365 admin and Entra ID. Fine-grained Copilot-specific controls are evolving.

GPT-4/5, Claude, Gemini, Mistral, Llama or your own private LLM — switch per agent or per workflow.

Primarily OpenAI models via Azure. Selecting alternative model families is not a core Copilot capability.

Every answer is cited with source documents and respects the asking user's permissions across all connected systems.

Citations available in Microsoft surfaces; coverage varies for non-Microsoft data sources.

Web app, browser extension, Slack, Teams, mobile and embedded SDK — plus public and internal widgets.

Primarily inside Microsoft 365 surfaces (Word, Excel, Teams, Outlook). Third-party channel support is limited.

Reusable skills that agents and assistants can invoke — going beyond prompt templates to structured, composable capabilities.

Declarative agents and plugins via Copilot Studio; reusable skill abstraction is not a native concept.

Visual, no-code builder for prompts, tools, knowledge and approvals — included in every plan.

Requires Copilot Studio with additional licensing and tenant configuration to build custom agents.

Schedule, webhook, email and event triggers; governed actions across every connected app.

Triggers available via Power Automate integration; actions are primarily Microsoft-centric without premium connectors.

20+ pre-built agent templates for sales follow-ups, deadline reminders, RFPs, onboarding, IT triage and more.

Template gallery focused on Microsoft workflows. Copilot Studio provides starter prompts but limited cross-system templates.

AI-generated task queues with assignment, review flows and status tracking — turning agent output into managed work.

Task management is handled by Planner / To Do. AI-generated task queues with review flows are not a native Copilot feature.

Visual workflows chaining retrieval, generation, approvals and actions across any connected tool.

Available via Power Automate; additional licensing applies for premium connectors and AI Builder.

Built-in approval steps, audit trail and rollback for sensitive actions.

Approvals available through Power Platform components. Rollback for AI actions is not natively supported.

Every agent run is logged with inputs, outputs, latency, cost and tool actions — exportable to your BI stack.

Telemetry available in the Microsoft admin center. Per-run agent audit trails with cost attribution are limited.

Compose agents from subagents — build an AI department model where specialised agents collaborate on complex tasks.

Copilot Studio supports single-agent flows. Multi-agent composition with shared context is not a native capability.

SaaS, EU-hosted, hybrid or fully private customer infrastructure.

Runs inside Microsoft commercial cloud. Private-cloud or customer-managed deployment is not available.

Pin all data and inference to EU regions; no training on customer data, ever.

EU Data Boundary covers most services; inference geography depends on tenant settings and model availability.

ISO 27001, GDPR — full DPA with sub-processor list.

Microsoft enterprise compliance suite (ISO, SOC, GDPR). Mature and comprehensive.

Control which models each department or workflow can use — enforce policies centrally across all agents.

Model selection is managed at the tenant level via Azure. Per-department model governance is not a standard feature.