Damit das erste Gespräch nicht bei null beginnt.

Je klarer Ihr Kontext, desto schneller können wir prüfen, ob wir helfen – und wie ein sinnvoller erster Schritt aussieht.

1) Context

What does your company do in one sentence?*

What is your role in this initiative?*

Key stakeholders (2–5 roles, no names required)
ManagementDepartmentITFinanceLegal/ComplianceOperationsData ProtectionExternal PartnersOther

Other Stakeholders

2) The Bottleneck

Which process currently consumes the most time or causes the most risk?*

How do you notice it specifically?*
ReworkWait timesErrorsCoordination loopsMedia breaksUnclear responsibilitiesOther

Where does it end up in Excel or manual lists today?

3) Reality Instead of Assumptions

Which exceptions regularly break the process?*

Where are handoffs unclear (team ↔ team, system ↔ system)?

What is the "source of truth" for the most important data?*

4) System Landscape

Which systems are involved?*
ERPCRMDMSTicketingBI/ReportingEmailSharePoint/FilesOther

Which systems specifically? (Names/vendors)

Where do duplicate data or conflicting statuses arise?

Are there APIs/exports/data access, or is much of it manual?*

5) Data & Requirements

Which types of data are affected?*
Personal dataFinancial dataContract dataHealth dataAccess credentials/secretsOther

Which compliance/security requirements are non-negotiable?*
FADP/GDPRISO 27001/ISMSEncryption at restEncryption in transitMFA/SSOAudit logsLeast privilege/role modelData residencyOther

Hosting preference*

Additional requirements or constraints

6) 30-Day Target

What would be measurable progress in 30 days?*

Which metric or observation would convince you?*

Is there a deadline creating pressure?

7) Budget & Decision Path

Budget range or approval process

Who makes the final decision, who must approve?*

Contact name*

Email*

Phone

Optional context link (e.g., process documentation, screenshot, Loom)

nuwai – built to perform

nuwai develops software, automation, and integrated AI for companies that measure results in daily operations — not in slide decks. We work with real data, clear ownership, and controlled iterations — turning assumptions into verifiable reality.