# Custom Agentic Workflows

> Replace operational toil with autonomous execution

Source: https://areza.digital/services/agentic-workflows

## Overview

For complex businesses, simple automation isn't enough. We build Agentic AI Workflows — systems where multiple AI agents observe, decide, and act across your core business functions. Whether it is automatically extracting data from thousands of unstructured invoices, executing multi-step compliance checks, or managing complex supply chain communications, we replace manual operational toil with continuous, autonomous execution. We shift your human workforce from doing the data entry to managing the system, unlocking massive operational margins.

## Timeline & Pricing

- Timeline: 30–45 days (Agile milestone delivery: 33/33/34)
- Starting price: From €3,950 — custom scoping

## Delivery Process

### 1. Deep-Dive Audit
We analyze the repetitive operations eating up your team's hours — parsing supplier PDFs, syncing inventory, generating custom financial reports.

### 2. Architecture Design
We design a multi-agent system where specialized AI agents collaborate to execute the workflow end-to-end.

### 3. EU-Secure Build
We build the infrastructure with strict data residency. No sensitive client data goes to public LLMs without explicit encryption and approval.

### 4. Deployment & SOPs
We launch the system, monitor execution loops, and train your operations team on how to oversee the AI agents.

## FAQ

**Q: What kinds of workflows are a good fit?**
The best candidates are high-volume, rules-based processes that currently require a human to read something, make a judgment, and trigger an action. Document processing, multi-step data enrichment, compliance checks, supplier communication triage, and report generation are the most common starting points.

**Q: What does 'multi-agent' mean in practice?**
Rather than one AI trying to do everything, we decompose the workflow into specialized agents — an extraction agent, a validation agent, a decision agent, a notification agent, and so on. Each agent has a narrow scope and defined inputs/outputs. This makes the system more reliable, easier to audit, and simpler to modify.

**Q: What happens when the workflow encounters an edge case?**
Every workflow has defined human escalation paths for exceptions that fall outside the agent's confidence threshold. The agent flags the item, pauses execution on that record, and notifies the relevant team member with full context. The rest of the queue continues uninterrupted.

**Q: Is our data safe with this setup?**
Yes. We build with strict EU data residency. Sensitive documents are processed within your own infrastructure or in EU-based isolated environments. We never route proprietary data through public LLM APIs without explicit encryption and your written approval. A Data Processing Agreement is provided as standard.

**Q: How is this different from using Zapier or Make?**
Zapier and Make execute fixed logic — if A then B. Agentic workflows can read unstructured input (a PDF invoice, a freeform email), extract meaning, make conditional decisions, and compose responses. They handle the long tail of edge cases that break rigid automation.

**Q: What is the 33/33/34 milestone delivery?**
We split the 30–45 day build into three equal milestones. Milestone one delivers the core extraction and decision logic. Milestone two adds integrations, error handling, and escalation paths. Milestone three covers testing, monitoring, documentation, and team training. You review and sign off at each milestone before we proceed.

**Q: Do we need technical staff to maintain the system?**
No. We build monitoring dashboards your operations team can read without engineering knowledge. We also provide written SOPs covering how to update rules, add new document types, and handle common failure modes. For ongoing changes, we offer a retainer or handle updates on a per-request basis.

**Q: Can the workflow connect to our existing systems?**
Yes. We integrate with ERP systems, accounting platforms, CRMs, cloud storage, email, Slack, and any system with an API or webhook. If your system uses an older integration method (SFTP, EDI, legacy databases), we assess feasibility during the deep-dive audit.

**Q: How do we measure ROI?**
We baseline the time and headcount currently spent on the target process before starting. Post-deployment we track hours saved per week, error rate reduction, and processing throughput. Most clients see full ROI within 3–6 months of go-live.

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