ConsultingServices.ai LogoConsultingServices.aiAI Consulting for SMEs
Menu

Technological Excellence

Agentic Workflows: Autonomous processes doing the heavy lifting.

Traditional automation reaches limits when intermediate logical decisions are needed. Agentic workflows (multi-agent systems) independently analyze, plan, and execute tasks – from your inbox to ERP booking.

⏱ Project Duration

~ 6 - 12 Weeks
(First Agent)

Project Start

from ~8,500 €
(Setup)

Running Costs

Variable by Tokens
(API & Cloud)

Start Potential Analysis
Agentic Workflows

Agentic Workflows (Fact Sheet)

Download the compact fact sheet on autonomous workflows.

Factsheet ansehen / speichern

Target Audience

Who are AI Agents suited for?

Perfect for:

  • Departments with massive manual processing effort.
  • Firms scaling up operations without expanding their back-office staff.
  • Processes requiring logical mid-step decisions.

Not for:

  • Tasks requiring 100% rigid "if-then" rules with zero deviation.
  • Companies lacking any digital documentation or APIs.
  • Firms without essential digital infrastructure.

Application Areas

Where Agentic Workflows offer maximum leverage

Support & Ticket-Triage

Incoming emails are automatically read, archived in the CRM, and matched with drafted best-fit responses.

Customer Service

Document Extraction

Agents scan inboxes, extract unstructured data from invoices, and pass the metadata directly to SAP.

Accounting

Autonomous Research

A system gathers KPIs weekly, runs an LLM analysis, and sends a management summary directly to leaders.

Data & Reporting

Your Benefits

The difference between a tool and a digital worker

Iterative Problem Solving

Agents plan their moves. If a search fails, the agent tries an alternative path autonomously.

Asynchronous Execution

Tasks run 24/7. Humans only intervene when the agent requests an approval sign-off.

Deep Integration

Via "Tool Calling", agents use APIs to send mails, check databases, or alter settings natively.

Limitless Scalability

Whether processing 10 or 10,000 documents per day – the AI absorbs the peak load seamlessly.

Approach

How we build your system

01

Blueprint & APIs

We partition complex workflows into micro-steps and integrate the agent's tools (like CRMs or ERPs).

02

Orchestration

We code logic and assign tools via LangGraph. The agent receives system prompts and fallbacks.

03

Testing & Rollout

First, the agent shadows work for human approval. Once trusted, it switches to full autonomy.

The Backend

Technological Foundation

Orchestration (LangGraph)

We utilize frameworks like LangGraph to construct cyclic multi-agent flows where specialized AIs pass tasks back and forth.

LLM Function Calling

Based on the situation, the AI model independently decides which REST API it needs to call with which parameters.

Frequently Asked Questions

Agentic Workflows — clearly answered

Difference between ChatGPT vs. AI Agent?

ChatGPT is an encyclopedia. An agent is an employee: provide a final goal, and it navigates steps autonomously until it achieves it.

Are hallucinations a risk?

We utilize firm constraints, data typing, and Human-in-the-Loop. Sensitive actions (like wire transfers) strictly require physical human clicks.

Can't I achieve this with Zapier?

If-then automations immediately crash on minor deviations. An agent understands semantic context and dynamically adjusts the solution path.

Concrete Offer

What you get, how long it takes, and how risk is reduced.

AI Process Automation
Result
A controlled workflow with triggers, approvals, fallback rules, logging, and human-in-the-loop checkpoints.
Timeframe
4-10 weeks
Price anchor
pilot from 4,900 EUR
Best fit
Best when repetitive back-office tasks consume time every week.

Risk reduction

  • Pilot before rollout
  • Human-in-the-loop and fallback rules
  • Documented data flow and handover

Proof material

Review sample deliverables before deciding: pilot report, implementation plan, prompt and fallback set, handover documentation.

View work examples

Standard process

  1. Maturity check and initial consultation
  2. Scoped pilot with realistic data
  3. Rollout decision and handover

Not included by default

External licenses, large-scale data cleanup, major ERP/CRM rebuilds, and legal case-by-case advice are scoped separately before project start.