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Rivac AI Labs
Workflow & Business Process Automation

Agentic RPA Build & Deployment

Traditional RPA breaks the moment a screen layout changes or a step requires actual judgment, which is why so many bot projects end up shelved after the first UI update. This service builds AI-augmented robotic process automations on n8n, Zapier, Make, or Power Automate that combine deterministic step-by-step execution with an AI layer that can handle ambiguity, unstructured inputs, and decisions a rigid rule set can't cover. It's for operations teams that have already identified a repetitive, rules-based process (data entry, reconciliation, multi-system updates) and need it built, tested, and running reliably in production, not just prototyped in a demo. Because the automation is agentic rather than purely scripted, it keeps working when inputs vary slightly instead of failing silently the first time something looks different than expected.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Diagnose the target process step by step to separate what's purely rule-based from what needs an AI decision layer.

  2. 2

    Build a pilot automation covering the core happy path on the chosen platform and run it against real historical inputs.

  3. 3

    Review pilot results and failure cases with the process owner to refine logic before wider rollout.

  4. 4

    Deploy the automation to production with monitoring and error alerts, and hand over documentation for how it runs.

What You Get

Deliverables from this engagement

  • Production-deployed automation on the agreed platform (n8n, Zapier, Make, or Power Automate)
  • Documented workflow logic including the AI decision points
  • Error-handling and alerting configuration for failed runs
  • Test results comparing automated output against manual baseline

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Process Diagnosis

  • Target Process Identified
  • Split Into Rule Based Steps and Judgment Steps

Pilot Build

  • Build Core Happy Path in n8n
  • Add AI Node for Ambiguous Decisions
  • Run Against Historical Inputs

Pilot Review

  • Results Match Manual Baseline

Production Deployment

  • Deploy Workflow to Production
  • Rollback Plan Prepared
  • Basic Error Alert on Failure
  • Documentation Handed to Process Owner
  • Monitor First Two Weeks Manually
  • Success Metrics Confirmed

Cloud-Native / Managed Services Architecture

Process Diagnosis

  • Process Steps Documented
  • Rule Based vs Judgment Split

Managed Platform Build

  • Workflow Built on Managed n8n Cloud
  • Managed AI Model API Node for Judgment Steps
  • Managed Credential Vault for Connections

Managed Testing

  • Sandbox Environment Test Run
  • Automated Comparison to Manual Baseline
  • Results Within Tolerance

Managed Operations

  • Promoted to Production Workspace
  • Managed Monitoring and Uptime Dashboard
  • Managed Error Alerting Service
  • Scheduled Performance Report

Event-Driven & Automation-First Architecture

Trigger Layer

  • Event or Webhook Starts Automation
  • Trigger Payload Validated

Automated Execution

  • Deterministic Steps Execute in Sequence
  • Ambiguous Input Detected
  • AI Decision Node Resolves Ambiguity
  • Continue Rule Based Path

Automated Error Handling

  • Step Fails
  • Automatic Retry With Backoff
  • Retry Succeeds
  • Auto Escalate to On Call via Alert
  • Continue to Next Step

Completion and Logging

  • Run Result Logged
  • Metrics Sent to Monitoring Dashboard

Enterprise-Grade & Compliance-Ready Architecture

Governed Design

  • Process Approved for Automation
  • Security Review of Required Access
  • Approved Credential Scope

Controlled Build

  • Workflow Built With Least Privilege Access
  • AI Decision Node With Logged Rationale

Approval Gate

  • User Acceptance Testing With Process Owner
  • Sign Off on Production Release

Audited Operations

  • Deployed With Version Controlled Release
  • Immutable Execution Audit Log
  • Role Based Access to Workflow Editor

Resilience

  • Redundant Execution Environment
  • Disaster Recovery Runbook
  • Periodic Compliance Review

AI-Augmented, Human-in-the-Loop Architecture

Process Trigger

  • Incoming Request or Record
  • Deterministic Steps Handle Structured Parts

AI Decision Layer

  • Step Requires Judgment
  • AI Agent Interprets Unstructured Input
  • Confidence Score on AI Decision
  • Confidence Above Threshold
  • Route to Human Operator for Decision

Human Approval Gate

  • AI Decision Auto Applied
  • Human Makes the Judgment Call
  • Human Decision Logged

Completion and Learning

  • Workflow Completes and Updates Target System
  • Outcome Logged as Training Signal

Integration-Heavy / Ecosystem-Connected Architecture

Trigger Sources

  • CRM Record Change
  • Automation Orchestration Layer
  • ERP Transaction Event
  • Email or Form Submission
  • Spreadsheet Update

Execution Hub

  • n8n or Power Automate Workflow Engine
  • AI Node Handles Ambiguous Steps

Target Systems Updated

  • CRM Record Updated
  • ERP System Updated
  • Slack or Teams Notification Sent

Monitoring Layer

  • Cross System Execution Log
  • Monitoring Dashboard
  • Alert on Any System Failure

More in Workflow & Business Process Automation

Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Agentic RPA Build & Deployment

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call