rabbhit
Part of AI Solutions

AI-Powered Workflow Automation

LLM-driven automation for multi-step business processes — where a simple if-this-then-that isn't enough.

What's included

What you get

End-to-end automation of a defined multi-step process using LLMs

Prompt engineering and output validation for reliability

Human-in-the-loop review points where accuracy matters

Error handling and fallback logic for edge cases

Integration with your existing tools — CRM, email, docs, and more

Documentation of the automation logic and how to adjust it

Not included (available as add-ons)

Ongoing token / API cost (billed by provider)Unrelated workflow automations (see plain Workflow Automation)Model fine-tuning or training

Investment

From €3,000

A realistic starting point for the smallest sensible version of this project — not a fixed quote.

What moves it up the range

  • Number of workflows or steps automated
  • Data sensitivity and required human review
  • Model / API choice (hosted vs. self-hosted)
  • Ongoing token / API cost exposure

These are starting prices, not fixed quotes. We scope every project to match your actual budget — the final number depends on what you need built.

How it works

Our process

01

Map the process

Understand exactly where decisions and handoffs happen today.

02

Design guardrails

Prompts, validation logic and human review points designed together.

03

Build & test

Tested against real edge cases, not just the happy path.

04

Deploy & monitor

Live in your stack, with visibility into how it's performing.

Questions

AI-Powered Workflow Automation — frequently asked

How is this different from your Workflow Automation service?

Plain Workflow Automation is rule-based — reliable for predictable, structured steps. This service uses LLMs where the process involves judgment, unstructured input, or decisions that don't reduce to simple rules.

What happens when the AI gets something wrong?

We build in human-in-the-loop review points at the steps where accuracy matters most, so mistakes get caught before they cause damage, not after.

Do I need my own OpenAI or Anthropic account?

Usually yes — this keeps you in control of usage and costs, which are billed directly by the provider and separate from the build price.

Can this work with sensitive or private data?

Yes, with the right model and hosting choices. This is exactly the kind of thing we scope carefully upfront — it's one of the main pricing drivers.

Technologies used

OpenAIAnthropic ClaudeLangChainPythonFastAPI

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