Workflow Automation & AI Integration

Your team is doing manually
what a machine should do for free.

Workflow Automation & Data Integration

n8n, Make, and Zapier automations — plus real AI integration — for companies that are still copying data between systems by hand. Fixed-price projects. No hourly surprises.

Book a free call
How It Works

Before & After Automation

Manual Process
New Data arrives ✕
↓
Manual copy-paste ✕
↓
Human error ✕
↓
Delayed report ✕
Takes hours/days
VS
Automated Process
Trigger event ✓
↓
Automated workflow ✓
↓
Clean data ✓
↓
Instant insight ✓
Takes seconds
Sound familiar

The automations you don't have
are costing you hours every week.

01

Manual data entry between systems

Someone on your team exports from one tool and imports into another. Every day.

02

Zapier costs growing with your business

Every new automation adds to the bill. You're paying per task, not per value delivered.

03

Broken workflows nobody owns

An automation stopped working and nobody noticed until a client complained.

04

Data going through tools you don't control

Customer data flowing through third-party US SaaS you didn't explicitly approve.

The Tools

Three tools. One recommendation.

Most automation problems can be solved with any of these. The right choice depends on your data, your volume, and your budget.

Make

Visual and powerful. Better than Zapier for complex branching logic. Still SaaS, but significantly cheaper and more capable. Good fit when the team wants a visual interface and data residency isn't a constraint.

Recommended

n8n

Self-hosted. Your data stays in your infrastructure. No per-task pricing — cost is flat regardless of how many automations you run. Workflows live in your repo like real code. Best fit for companies with compliance requirements or serious automation volume.

Zapier

The most recognized name. Fine for simple, low-volume workflows. If you're already on it and it works, we can optimize what you have. Not the recommendation when you're growing fast or running sensitive data through it.

Custom & Enterprise Needs?

For complex infrastructure or high-security requirements, we also build native integrations using MuleSoft, Python, Java, and AWS.

MuleSoft Python Java PostgreSQL MySQL AWS
AI Integration

AI is just another
integration problem.

Most companies want AI in their workflows. Very few have the plumbing to make it work reliably. Connecting an LLM to a real business system — with error handling, data validation, and something that doesn't hallucinate your customer records — is an integration job. Not a prompt engineering job.

→

LLM API integration

OpenAI, Anthropic, Gemini, or local models via Ollama connected to your existing systems. Structured outputs. Retry logic. Cost controls. Not a demo — a production integration.

→

AI agents in n8n

Autonomous workflows that reason and act: classify inbound data, draft responses, route decisions, summarize documents — triggered by real events in your systems, not by a chat window.

→

RAG pipelines

Your internal documents, policies, and knowledge bases made queryable. Built on your infrastructure. Your data doesn't leave to train someone else's model.

→

AI-powered data extraction

Invoices, contracts, emails, PDFs. Unstructured inputs turned into structured records and routed into the right system — without a human reading each one.

"Most AI integration projects fail at the seams — the part between the model and the real system. That's where 15 years of integration architecture actually matters."

Ugo Guazelli — Veridata Pro
Examples

Real automations.
Not demos.

What it does
Why it matters
CRM deal closed → invoice automatically drafted in accounting system
No more end-of-day manual invoicing. Finance gets it the moment sales closes.
Web form submission → lead routed to right salesperson via Slack + email
No lead sits unattended because someone forgot to check the spreadsheet.
Contract signed → client onboarding sequence triggered automatically
Every new client gets the same experience, without anyone doing it manually.
Data reconciliation between two systems with no native connector
Eliminates the weekly manual reconciliation that takes half a day.
Webhook from custom app → structured records in database or spreadsheet
Developers stop building internal scripts nobody maintains.
Approval workflows with human-in-the-loop steps
Process keeps moving. The right person gets notified. Decisions get logged.
Email inbox → AI triage → routed to correct team with draft reply attached
Support and sales teams stop spending half their day reading and sorting inbound. The model drafts; a human approves.
PDF invoice or contract → AI extraction → structured records in your ERP or database
Accounts payable processing that took a day now runs in seconds. Exceptions flagged for human review.
Internal knowledge base → RAG pipeline → staff Q&A without IT tickets
New hires find policy answers in 30 seconds. Senior staff stop answering the same questions.
CRM notes + AI summary → weekly account briefing sent to account manager
Sales reps walk into every call prepared. No manual CRM archaeology before each meeting.
Testimonials

What Our Clients Say

"Veridata Pro automated our entire reporting process. Our team now saves 15 hours a week."

Maria Santos
Head of Operations, NovaFin

"The fixed-price model gave us confidence. Implementation was smooth and the results were immediate."

James Clearwater
CTO, BridgeData

"Finally, a no-nonsense automation partner. Ugo understood our needs from day one."

Lena Müller
Product Manager, ScaleUp GmbH
Technology Stack

Technologies We Use

The tools and platforms we integrate with daily to build your custom workflows.

n8n Make Zapier MuleSoft Python Java PostgreSQL MySQL AWS
Pricing

Fixed price.
No surprises.

Every project is scoped before it starts. You know the price before you commit.

Starter
from $300 USD

2–4 automations connecting standard tools. Ideal for the first workflow you want to get off the ground.

  • — Up to 4 workflow automations
  • — Standard connectors (CRM, email, spreadsheets)
  • — Documentation of what was built
  • — 2 weeks of post-delivery support
Book a call
Most Common
from $600 USD

5–15 automations with custom logic, multiple systems, and n8n self-hosted setup if needed.

  • — Up to 15 workflow automations
  • — Custom logic and conditional branching
  • — n8n self-hosted setup (if applicable)
  • — Full documentation + handoff session
  • — 30 days of post-delivery support
Book a call
Retainer
from $200 / month

For companies that want the automations to keep evolving as the business does. New workflows, changes, fixes — covered under the monthly engagement.

  • — Up to 15 automation changes or additions per month
  • — Priority response
  • — Monthly review call
  • — Async Q&A via Slack or email
Book a call

Custom & Enterprise Needs?

For high-volume operations, complex infrastructure (Python, Java, MuleSoft, AWS), or specialized security requirements, we offer custom tailored solutions.

Contact us for a custom quote

Not sure which fits? The discovery call is free. We scope the project together before any money changes hands.

The Architect
Ugo Guazelli

Ugo has spent 15+ years designing integrations for enterprise companies across LATAM, the US, and Canada.

Now focused on workflow automation and AI integration for growing companies — the same architecture thinking, applied to tools like n8n, Make, and Zapier.

LinkedIn
15+
Years Experience
8+
Years in Integration
15+
Projects Delivered
4
Languages
Details

Honest answers.

Do I need to already have n8n installed?

No. If n8n is the right tool for your project, the setup is included in the project scope. You get a working system, not just a design.

Why n8n instead of just Zapier?

Zapier is fine for simple, low-volume workflows. The problem is the pricing model — you pay per task, so costs grow every time your business grows. n8n is self-hosted: flat cost, your data stays in your infrastructure, workflows live in your repo. For anything with compliance requirements or real volume, n8n is the better architecture.

What if I'm already on Zapier and it's working?

Then we don't touch it. If it works and the cost is acceptable, there's no reason to migrate. We can optimize what you have, add workflows, or handle the parts Zapier can't.

Is this a one-time project or ongoing?

Both options are available. Most clients start with a fixed project to solve the immediate problem. The retainer is for companies that want the automations to keep evolving — new workflows, changes, fixes — without scoping a new project every time.

How long does a project take?

Starter projects typically deliver in 5–7 days. Growth projects in 2–3 weeks depending on complexity. Timeline is always confirmed before the project starts.

Do you build AI chatbots?

Sometimes — but usually the more valuable work is upstream. A chatbot that answers questions is only as good as the pipeline behind it: where does it get the data, how is it kept current, what happens when it doesn't know. We build the full integration, not just the chat interface.

Which AI models do you work with?

OpenAI (GPT-4o), Anthropic (Claude), Google (Gemini), and local models via Ollama for clients with data residency requirements. The model choice depends on your use case, latency tolerance, and whether your data can leave your infrastructure.

If your team is doing it manually,
there's probably a better way.

The first call is free. No commitment.

Book a free call