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Before We Build

Business Analysis &
Solution Design

From process understanding to technical design. We define what gets automated, how it works, and which technology is right, before a single line of code is written.

Client Satisfactoin
60 %
Clients
110 +
To Break Even
11 Mo.
The Reality

Why "just build it" is the most expensive shortcut

Automation without proper analysis produces technical debt, rework, and frustration. The difference between a process that runs and one that creates value is decided right here.

 
Requirements are missing or wrong

Teams describe the as-is process, not the to-be process. The bot then automates a bad process, faster, but still bad.

Technology is chosen before the problem

“We have UiPath, so we’ll do RPA.” But not every process needs RPA. Some need Agentic AI, some need low-code, some need a combination.

The to-be process is never redesigned

Automating the existing process 1:1 wastes 50% of the potential. The real gains come from redesign – eliminating steps, merging them, routing intelligently.

How We Solve It

From as-is process to optimal to-be process and then to technical design

We don’t just analyze what happens today. We design what should happen tomorrow and deliver the technical blueprint for it.

01

Process Deep Dive

We understand the process down to the last detail: who does what, when, in which system, with which exceptions? Not from a desk, but with the people who live the process every day.

02

To-Be Process Design

We redesign the process for automation, not 1:1, but optimized. Which steps can be eliminated? Which can be merged? Where does an agent decide better than a human?

03

Technology Mapping

The right technology for each process step: Agentic AI for decisions, RPA for execution, low-code for user interfaces, BI for monitoring. Platform-agnostic.

04

Solution Architecture

The technical design: system integration, data flows, exception handling, security architecture, scalability. Detailed enough for implementation, clear enough for the business.

The Difference

Why we don't simply automate what's there

As-Is Automation What others do
  • Existing process is documented
  • Translated 1:1 into automation
  • Same steps, same logic
  • Bot does it faster — but not better
  • Redundant steps remain
40% of potential captured
To-Be Automation What we do
  • Existing process is analyzed and challenged
  • Unnecessary steps eliminated
  • Decision logic optimized
  • Technology mix for each step
  • Process is better than before — not just faster
90%+ of potential captured
Deliverables

Everything your implementation team needs and everything your board understands

Process Documentation (As-Is & To-Be)

Detailed documentation of both states: what happens today, what will happen tomorrow. Visualised, not just described. Understandable for both business and IT.

Solution Architecture

Technical design: which systems, which integrations, which data flows, which exception handling. The blueprint for implementation.

 
Technology Recommendation per Step

Not one technology for everything, but the optimal mix: Agentic AI here, RPA there, low-code there, BI everywhere. With rationale.

Updated Business Case

The business case from process identification is refined: more concrete numbers, validated assumptions, more detailed timeline.

In practice

Business Analysis & Solution Design in Action

Insurance & Finance
Claims Processing — As-Is vs. To-Be
Mid-size insurer, 2,500 employees
As-Is Process described by client
  • Claim reported
  • Adjuster opens 4 systems
  • Manually checks policy data
  • Compares with damage photos
  • Decides on coverage
  • Enters into system
  • Writes letter to customer
7 steps 3 systems 45 min/claim 15% error rate
To-Be Process redesigned by us
  • Claim reported (multi-channel)
  • AI agent verifies coverage automatically
  • Agent evaluates damage photos
  • Agent decides: approve, query, or escalate
  • RPA bot posts and generates correspondence
  • Dashboard for monitoring
6 steps 1 decision point 8 min/claim 2% error rate
82% Faster Processing
87% Fewer Errors
3→1 Manual Review Steps
2 Steps Eliminated
What Made the Difference
  • 3 manual review steps eliminated, not automated
  • Decision logic transferred to AI agent
  • Customer correspondence auto-generated
  • Only true exceptions still reach a human
In Context

The Second Step in Our Journey

Same team. No knowledge transfer required.
No gap between analysis and implementation.

Step 1
Process Identification
Defines WHICH processes get automated
You Are Here
Step 2
Business Analysis & Solution Design
Defines HOW those processes get automated
Step 3
Agentic Automation
Turns the design into running automation
Success Story

Multi-process-Automation at Automotive Supplier

From failed bot experiments to €708,000 in savings in year one.
Global automotive supplier · Shared Service Centre · Finance, Procurement & Logistics · UiPath RPA + Agentic AI
⚡ Agentic Automation — RPA + Hybrid AI Agents
Challenge

A global automotive supplier had already invested in UiPath licences and an internal RPA team — with disappointing results: unstable bots, frustrated stakeholders, and no measurable ROI. Over 300 processes were queued for evaluation with no systematic approach to prioritisation. Management demanded measurable results within 12 months.

Solution

Lunatec designed an enterprise-wide automation framework: a top-down rapid assessment of all 300+ processes ranked by business impact, structured target-process design before the first build, a dedicated delivery team, and ongoing managed services. The organisation moved out of proof-of-concept mode into a continuously growing automation platform — break-even reached in 7 months.

€708k
cost savings
year one
41,583
hours saved
per year
18
use cases live
51 in pipeline
7 Months
break-even
savings exceeded costs
Ready?

You know which processes should be automated, but not yet how?

Let’s discuss in 30 minutes how we extract the maximum automation potential from your processes.

No sales pitch. Just an honest assessment.

120+ Clients.   100% Satisfaction.   7 months to Profitability.

WHAT YOU GET IN THE DISCOVERY CALL

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Identify your best use cases
Based on your industry and process landscape

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Calculate concrete ROI
In Euros, FTE equivalents and time savings

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Show examples from your industry
Real results of comparable companies

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Define timeline and next steps
Concrete roadmap, no vague promises