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.// Agent Builder

Turn any process into an AI agent.

Describe what you need in plain language or use the visual workflow designer. assistents builds a production-ready agent with the right data connections, execution logic, and governance controls.

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  • No-Code + API
  • Version Control
  • Audit Logging
  • Visual Builder
  • NL Creation

<5min

Average agent build time

100%

Governance coverage

1-Click

Rollback to any version

.// Natural Language Creation

Describe the outcome. The platform builds the agent.

Tell assistents what you want in plain English. The builder translates your description into a structured agent with the right workflow steps, data connections, and governance rules.

“Create an agent that monitors our support queue, categorizes tickets by severity, drafts responses using our knowledge base, and escalates P1 issues to on-call.”

Confidence: 94%Est. build: 12sSystems: 3
Generated Workflow
01TRIGGERMonitor QueueZendesk
02CLASSIFYCategorize SeverityContext Engine
03ACTIONDraft ResponseKnowledge Base
04CONDITIONSeverity CheckP1?
05ESCALATERoute to On-CallPagerDuty
NL creation flow showing prompt to structured agent workflow
.// Visual Workflow Designer

Build workflow agents step by step.

For process-heavy agents that follow defined steps \u2014 like invoice processing, onboarding sequences, or compliance checks \u2014 use the visual workflow builder. Drag, connect, and configure each step with branching logic.

Trigger

Trigger

Event-based or scheduled initiation. Connect to webhooks, queues, or cron schedules.

Config
  • Source: Zendesk
  • Event: ticket.created
  • Filter: priority >= P2
Condition

Condition

Branching logic with multiple paths. Route based on data, rules, or AI classification.

Config
  • If: severity = P1
  • Then: escalate
  • Else: auto-respond
Action

Action

Execute operations against enterprise systems. API calls, database writes, notifications.

Config
  • Target: Knowledge Base
  • Method: semantic_search
  • Params: ticket.body
Escalation

Escalation

Human-in-the-loop routing with context transfer. Full conversation history passed to assignee.

Config
  • Route: PagerDuty
  • Context: full_thread
  • SLA: 15min response
Visual workflow builder with drag-and-drop steps and branching logic
.// Conversational Refinement

Refine agents through conversation.

Created an agent but need to adjust it? Talk to it. The builder understands your instructions and updates the agent's workflow accordingly, with full version tracking.

User Instruction

“Add a step that checks the vendor’s compliance status before routing the approval. Also change the escalation threshold from P2 to P1.”

+ 1 step added: Compliance Check~ 1 step modified: Escalation Threshold2 steps unchanged
v1.2 → v1.3Updated 2 seconds ago
01Monitor Queue
02Categorize Severity
03aCompliance CheckNew

Query vendor compliance DB before routing

04Escalation ThresholdModified

severity >= P2 → severity = P1

2 steps unchanged
.// Enterprise Infrastructure

Every agent inherits the full platform.

Custom agents don't start from scratch. They inherit the same enterprise context, governance, and version control as every pre-built agent on the platform.

CTX

Enterprise Context Built In

Agents automatically connect to the Context Engine — the same relational intelligence that powers pre-built agents. No manual configuration.

AUTO
VER

Version Control & Safe Deployment

Every change versioned. Test against historical data before deploying. Roll back instantly. Deploy to specific teams first.

GIT
GOV

Full Governance Inherited

Custom agents inherit governance controls, audit trails, RBAC, and enterprise context from the platform — automatically.

RBAC
SOC 2 Type IIHIPAAGDPRISO 27001RBAC Enforced
.// How It Works

From idea to production agent

5 StepsFrom idea to production agent
Describe

Natural language instructions or visual workflow builder.

Connect

Auto-links to enterprise data sources with permissions enforced.

Test

Run against real or simulated scenarios. Review reasoning steps.

Refine

Adjust through conversation or visual builder. Modify logic.

Deploy

Publish with version control, rollback capability, audit logging.

.// FAQ

Frequently Asked Questions

Do I need coding skills to build AI agents?

No. The Agent Builder uses natural language descriptions and a visual workflow designer. Describe what you want the agent to do in plain English, and the platform generates the workflow automatically. Technical teams can also use APIs for deeper customization.

How long does it take to build an agent?

Most agents are built in under 5 minutes. Describe your process in natural language, review the generated workflow, configure governance rules, and deploy. Complex multi-system agents may take longer during initial setup.

Can I version control and roll back agents?

Yes. Every agent has full version history with one-click rollback. You can compare versions side-by-side, test changes in staging environments, and promote to production with audit trails tracking every change.

What happens if an agent encounters an error?

Agents include built-in exception handling, branching logic, and escalation rules. When an unexpected situation occurs, the agent follows your configured escalation path — whether that means alerting a human, pausing execution, or trying an alternative approach.

Can agents connect to our existing enterprise systems?

Yes. The Agent Builder integrates with 300+ enterprise systems through pre-built connectors including Salesforce, SAP, Workday, Jira, and more. Custom integrations are supported via REST APIs and webhooks.

.// Get Started

Build agents in minutes, not months.

See how the Agent Builder turns your business processes into production-ready AI agents with full governance controls.

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Try the Agent Builder

Walk through building a custom agent for your specific workflow in a live demo session.

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