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SHEET 01Agent BuilderNO-CODE

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.

  • No-Code + API
  • Version Control
  • Audit Logging
  • Visual Builder
  • NL Creation
<5minAverage agent build time
100%Governance coverage
1-ClickRollback to any version
SHEET 02Natural Language CreationNL

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.

Builder inputGenerating

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
PROMPTplain languagePARSEcontext engineAGENTproduction-ready
One description compiles to a governed, connected agent.
SHEET 03Visual Workflow DesignerNODE-01..04

Build workflow agents step by step.

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

NODE-01

Trigger

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

Config
  • Source: Zendesk
  • Event: ticket.created
  • Filter: priority >= P2
NODE-02

Condition

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

Config
  • If: severity = P1
  • Then: escalate
  • Else: auto-respond
NODE-03

Action

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

Config
  • Target: Knowledge Base
  • Method: semantic_search
  • Params: ticket.body
NODE-04

Escalation

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

Config
  • Route: PagerDuty
  • Context: full_thread
  • SLA: 15min response
SHEET 04Conversational RefinementREVISED

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 instructionApplied

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

v1.2 v1.3Updated 2 seconds ago
01Monitor QueueUnchanged

02Categorize SeverityUnchanged

03aCompliance CheckAdded

Query vendor compliance DB before routing

04Escalation ThresholdModified

severity >= P2severity = P1

2 steps unchanged 4 steps total

SHEET 05Enterprise InfrastructureINHERITED

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.

CTXAUTO

Enterprise Context Built In

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

VERGIT

Version Control & Safe Deployment

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

GOVRBAC

Full Governance Inherited

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

  • SOC 2 Type II
  • HIPAA
  • GDPR
  • ISO 27001
  • RBAC Enforced
SHEET 06How It Works5 STEPS

From idea to production agent

Build pipeline5 steps
01

Describe

Natural language instructions or visual workflow builder.

02

Connect

Auto-links to enterprise data sources with permissions enforced.

03

Test

Run against real or simulated scenarios. Review reasoning steps.

04

Refine

Adjust through conversation or visual builder. Modify logic.

05

Deploy

Publish with version control, rollback capability, audit logging.

Linear flow idea to production agent

SHEET 07Specification NotesFAQ

Questions teams ask before building

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.

SHEET 08Sign-offREADY

Build agents in minutes, not months.

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

Skill level
No-code · NL + API
Build time
Under 5 minutes · governed
Platform
300+ connectors · audit trails
Sheet
08 of 08 · Agent Builder

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