Copilot Studio

Orchestrate Your Agents.
Visually.

Design and control how your agents think, act, and execute across every step.

Agent Runtime
ID: 8821a-x9

"Check the Snowflake churn table for Q3 and draft a summary."

Reasoning Chain142ms
Plan: 1. Query DB 2. Analyze trends 3. Generate text
Tool ExecutionSnowflake
SELECT * FROM churn_events WHERE quarter='Q3'
Guardrails Active

Design AI agents with deterministic logic.

Agents follow exactly the path you design — not opaque LLM improvisation.

Transparent Execution

See every thought, tool call, and decision in real-time.

Governed Reasoning

Force agents to follow strict policy trees before acting.

Learn more →

Repeatable Decisions

Cache reasoning paths to ensure consistent outputs.

Debuggable Flow

Step through execution traces just like code.

Instruction
Reasoning
Retrieval
Tools
Output
Visual Builder

Shape how your agents think.

The visual chain-of-thought editor allows you to define step ordering, branching logic, decision gates, and model constraints.

  • Drag-and-drop reasoning blocks
  • Define conditional branches
  • Set per-step model parameters
Step Properties
GPT-4o
Input Trigger
Reasoning
Identify user intent...
Retrieval
Tool Call
Query: "Q3 Churn"
doc_id: 8821 (Score: 0.92)
doc_id: 4112 (Score: 0.88)
RAG & Vector Store

Integrate retrieval without the complexity.

Copilot Studio handles the entire RAG pipeline: chunking, embedding, indexing, and re-ranking. Connect your data sources and let the engine handle context window management.

Hybrid Search
Keyword + Semantic
Memory Gating
Long-term persistence

Give your agents real capabilities.

Secure function calling, API invocation, database queries, and multi-step tool chains.

tool_config.json
"name": "query_snowflake",
"description": "Execute SQL against the warehouse",
"parameters": {
"sql": {
"type": "string",
"description": "The SQL query to run"
}
},
"security": {
"readonly": true,
"timeout": 30000
}
Execution Log
SUCCESS
10:42:01INFOInitializing tool execution...
10:42:02INFOAuthenticating via OIDC... OK
10:42:03WARNQuery duration: 1.2s
{ "rows_affected": 0, "data": [ { "quarter": "Q3", "churn_rate": 0.04 }, { "quarter": "Q4", "churn_rate": 0.03 } ] }
Safety Infrastructure

Safety built into every agent.

Enforce PII detection, toxicity filters, output policies, and OPA/Rego-based blocking before the model ever responds.

Red-teaming tests before deployment
Real-time PII redaction
Hallucination detection
Topic containment

Compliance Check

THREAT DETECTED
Toxicity Filter
PASSED
PII Detection (Credit Card)
BLOCKED
Injection Protection
PASSED

Understand every decision.

Agent Trace #9921

Duration: 1.2sTokens: 4,120Cost: $0.04
Reasoning
Tool
Response
Input
"Summarize the error logs"
Thoughts
I need to query Datadog...
Latency

Version-controlled release management.

Treat agents like software. Promote from dev → staging → prod with automated CI/CD checks, rollbacks, and canary deployments.

Production
v4.2.0 • 100% Traffic
Staging
v4.3.0-rc1 • Internal Only

Orchestrate autonomous agents with absolute certainty.

Input
Reasoning
Retrieval
Tools
Guardrails
Output
Copilot Studio Secure Enterprise AI Agent Orchestration | CodeConductor