.// AUTOMATION INTERFACE
Visual orchestration. Enterprise guardrails.
.// WORKFLOW BUILDER
Build agent workflows without code.
Define multi-step workflows visually. Set triggers, assign agents, configure approval gates, and define success criteria. Each workflow produces a governed, auditable automation that runs continuously.
Trigger Configuration
Start workflows from system events, schedules, manual triggers, or conditions. "When a new invoice exceeds $10K, route to the Finance Analyst agent."
Agent Assignment
Assign one or multiple agents to each workflow step. Agents can work in parallel, in sequence, or with conditional branching based on intermediate results.
Output Routing
Route results to Slack, Teams, email, dashboards, or back into the OS. Configure success and failure paths with automatic escalation rules.
.// ORCHESTRATION
Planner. Executors. Critic.
Complex tasks are decomposed by a Planner agent, executed in parallel by specialized Executor agents, and validated by a Critic agent — ensuring quality and catching errors before they reach production.
Step 1
Planner
Decomposes the task into sub-tasks with dependencies
Step 2
Executors
Specialized agents execute sub-tasks in parallel
Step 3
Critic
Validates outputs and requests corrections
Task Decomposition
The Planner breaks complex requests into atomic sub-tasks. Each sub-task has a clear input, expected output, and success criteria.
Parallel Execution
Independent sub-tasks execute simultaneously across specialized agents. A financial report might invoke data extraction, analysis, and formatting agents in parallel.
Quality Validation
The Critic agent evaluates every output against success criteria. Failed validations trigger targeted re-execution — not full restarts.
.// APPROVAL GATES
Human-in-the-loop for what matters.
Not every action should be autonomous. Configurable approval gates pause execution for human review on sensitive operations — financial transactions above thresholds, customer-facing communications, compliance decisions, and data deletions.
Financial Threshold
Any transaction exceeding $5,000 requires manager approval before execution.
Customer Communication
Outbound emails and messages to customers require review before sending.
Data Modification
Bulk updates affecting more than 100 records require admin approval.
Compliance Actions
Regulatory submissions and compliance reports require legal team sign-off.
Approval Flow
.// MONITORING
Real-time visibility into every agent.
Monitor active agents, queued tasks, execution status, error rates, and performance metrics from a single dashboard. Know exactly what every agent is doing, right now.
Active Agents
Real-time count of agents currently executing workflows with per-agent status indicators.
Task Queue
Pending tasks sorted by priority with estimated completion times and resource allocation.
Error Tracking
Failed actions with root cause analysis, automatic retry status, and escalation paths.
Performance Metrics
Execution time, token usage, API call counts, and throughput metrics per agent and workflow.
.// COST TRACKING
Know what every agent costs. In real time.
Per-agent, per-workflow, per-department cost tracking. Set budgets, receive alerts, and optimize usage with granular visibility into token consumption, API calls, and compute costs.
Cost Breakdown
LLM Token Usage
Per-agent token consumption with model-specific pricing
API Call Costs
External integration calls tracked and attributed
Compute Costs
E2B sandbox usage, processing time, memory allocation
Storage Costs
RAG index size, conversation history, audit log storage
Budget Controls
Per-Agent Limits
Set monthly budgets per agent with automatic pause on threshold
Department Budgets
Allocate AI spend by department with chargeback reporting
Alert Thresholds
Get notified at 50%, 75%, and 90% of budget consumption
Usage Analytics
Identify over-provisioned agents and optimize allocation
.// AUDIT TRAIL
Complete audit trail. Every action. Every decision.
Every agent action is logged with who triggered it, what data it accessed, what reasoning it used, what actions it took, and what the outcome was. Exportable for compliance reviews, SOC 2 audits, and internal governance.
Timestamp
Precise execution time for every action, decision point, and state change.
Actor
Which user triggered the agent, which agent executed, which persona was active.
Data Access
Every table, row, and field accessed during execution — with RLS policy references.
Reasoning Chain
The complete chain of reasoning from input to decision — reproducible and auditable.
Actions Taken
Every write operation, API call, notification sent, and system update logged.
Outcome Verification
Whether the action succeeded, failed, was rolled back, or requires follow-up.
Automation that enterprises can actually trust.
Every agent governed. Every action auditable. Every cost tracked.
.// READY TO DEPLOY?
Your competitors deployed AI agents last quarter. What's your timeline?
See how Vera puts AI agents into production across Finance, Sales, Support, HR, and Compliance — with governance your enterprise requires. Start with a 30-minute discovery call.
See how it works
Context Engine, Semantic Layer, and Action Engine — see the three-layer architecture that powers governed agent execution.
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