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Use cases that pass the audit.

See Agentic360 in real scenarios — cited answers, governed models and a complete audit trail. Every video is available in German, English and Spanish.

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100%
of answers carry a source citation — otherwise the guardrail blocks them
2
engines smart-routed
100%
auditable
Live demo
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Use cases

How regulated industries run AI — safely and with evidence

From AML prevention under the EU AMLR to a cooperative bank's role-based compliance agents, AI governance & smart routing, and medical billing review in healthcare — every use case evidences every statement.

Cyber & Resilience

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Use case

The 03:12 emergency: one incident, four statutory clocks — every notification drafted in minutes

Ransomware hits a municipal utility. The moment the crisis team becomes aware, four deadlines start at once: 24 hours for the early warning to the BSI, 72 hours for the full notification, 72 hours for the parallel GDPR Art. 33 report to the supervisory authority, one month for the final report. Six agents produce all five documents ready for decision — every statement carrying its article and paragraph, every unconfirmed point marked unconfirmed. Filing and release stay human.

24 h · 72 h
early warning and notification to the BSI — Art. 23(4) NIS2 · § 32 BSIG
Two clocks
NIS2 and GDPR Art. 33 run in parallel — different authority, different content
Release
drafts for the human — the filing stays your act
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Finance & Tax

Real system demoSimulated scenario
Use case

How a cooperative bank runs MaRisk, BAIT & DORA on Agentic360

DemoBank eG is our reference use case for regulated finance: role-based compliance agents that answer with the exact paragraph reference — grounded in the bank's own outsourcing contracts, fully logged for audit.

3
Role-based expert agents — BAIT · MaRisk · DORA
100%
Auditable — every action logged, tamper-evident
DE
Hosted in Germany — EU data residency
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Use case

AMLR map & gap: your AML manual checked against EU Regulation 2024/1624

The AML Compliance Advisor reads your existing prevention manual and maps it article by article against the directly-applicable EU AML Regulation — from the business-wide risk assessment and the €10,000 cash limit to beneficial ownership and record retention. Every gap is evidenced with the exact article, in good time before the 10 July 2027 deadline.

41
controls mapped 1:1 to Regulation (EU) 2024/1624
10 Jul 2027
date of direct application — AMLA supervision
100%
findings evidenced with an AMLR article
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Use case

An agent may pay — but never quietly: five deterministic controls between intent and money

A payment service provider lets a support agent issue refunds over Wero — the European Payments Initiative wallet settled over SEPA Instant. The legitimate case, €240.00, passes every check and still ends in HTTP 403: the agent cannot pay, it can request. Then the same conversation carries a hidden instruction for €48,500.00. The model falls for it — and €0.00 moves. The call does not even reach the approval queue, because a policy-denied call must never look like a decision someone should click away. The limit lives in a Rego policy, not in a system prompt.

5
deterministic controls in the call path — not one of them a prompt
€0.00
moved by the €48,500 prompt injection — denied is denied
Once
an approval is valid: bound to server and tool, consumed after the call
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Use case

XRechnung without rejections: invoice in, compliant XRechnung out — in seconds

The E-Invoicing Validator checks every invoice against EN 16931 and the German XRechnung 3.0.2 (the official KoSIT rules, configuration 2026-01-31): every fired violation with its field (BT/BG) and the fix, then the schema-valid UBL 2.1 XML plus an audit report as a PDF. Grounded in the official rules, with open fields honestly marked ‘TO COMPLETE’.

EN 16931
validated against the official KoSIT rules (XRechnung 3.0.2)
UBL 2.1
schema-valid XML + audit-report PDF, Peppol-ready
Seconds
validated instead of days of ping-pong
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Use case

Four hundred teasers a quarter, thirty read — and the rest is not rejected, it is overlooked

An investor who buys deal flow does not have an access problem, it has a reading problem. Three acts show the working cycle that venture, growth, private equity and family-office mandates all share: extract every inbound item and test it against the written thesis, read the data room with a citation behind every statement and screen the counterparty against the EU sanctions list, OFAC SDN and GLEIF LEI, and finally answer, for the existing holdings, who the next regulation hits. In every act the decision stays with people.

412 not 30
every inbound item extracted and classified, not only the one vouched for
Citation
document, clause and quote per finding — without evidence it becomes a question
3 of 24
regulation carried down to the holding — including the list of the unaffected
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Healthcare

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Use case

Hospital discharge letters: notes in, coded letter out — in seconds

The Discharge Letter Assistant turns a few clinical notes into a complete German discharge letter in seconds — with ICD-10-GM diagnoses, OPS procedures and a DRG suggestion, each with its code. Grounded in what the physician documented, with honest '[to be completed]' placeholders and a mandatory physician sign-off. Documentation support, not a medical decision. Illustrative demo — not a medical device, not clinically validated.

30 sec
instead of ~30 minutes per discharge letter
ICD-10 · OPS · DRG
coded and review-ready, per the German coding rules
Sign-off
physician approves — nothing invented
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Use case

Medical Invoice Advisor: medical billing checked in seconds — with evidence

A CON file from the practice software is ingested and every code reconciled against ICD-10-GM, EBM and GOÄ plus plausibility and multiplier rules. The agent surfaces recoupment risks and unbilled potential in seconds — every finding evidenced with code and statute. Anonymized demo data.

12 sec
review instead of ~3 h of manual plausibility checking
ICD·EBM·GOÄ
reconciled against three catalogs plus plausibility
100%
findings evidenced with code and statute
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Energy & Sustainability

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Use case

Provably green: EU Taxonomy alignment with KPIs and an ESRS E1 dossier — in seconds

The ESG & CSRD Advisor checks a wind/solar portfolio against the EU Taxonomy (Regulation (EU) 2020/852): substantial contribution to climate mitigation, DNSH and the minimum safeguards — each with its legal basis — and computes the Turnover/CapEx/OpEx KPIs. It produces the audit-ready ESRS E1 climate dossier as a PDF. Cites the real regulation, with open values marked ‘TO COMPLETE’.

Turnover·CapEx·OpEx
Taxonomy KPIs with the exact legal basis
ESRS E1
audit-ready climate dossier as a PDF
2020/852
cites the Regulation + Delegated Reg. 2021/2139
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Use case

Energy-industry GRC: KRITIS, NIS2 & the § 11 EnWG IT-security catalogue — classified in seconds

A grid operator enters its profile — supplied GWh, metering points, a control centre/SCADA with RTUs in the field. In seconds the GRC cockpit confirms it is KRITIS (BSI-KritisV) and a NIS2 essential entity, maps the § 11 EnWG ISMS controls to ISO/IEC 27001 + ISO/IEC 27019, scores control maturity, names the gaps and generates the audit-ready ISMS / § 8a-BSIG conformity dossier as a PDF. Every verdict cites the exact statute, with open values marked ‘TO COMPLETE’.

KRITIS · NIS2
classified with the exact statute — BSI-KritisV, Annex I energy
§ 11 EnWG
IT-Sicherheitskatalog → ISMS ISO/IEC 27001 + ISO/IEC 27019
§ 8a
audit-ready conformity dossier as a PDF — biennial evidence
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Use case

Automation Agency: one sentence of process description — a tested workflow draft for § 14a EnWG

Since 1 January 2024 every new heat pump and wallbox has to be registered, checked and assigned a network-charge reduction module under § 14a EnWG — a volume process a municipal utility works by hand. Someone from the department describes it in one sentence; six agency roles turn it into a workflow draft, validate the graph and test-run it in the engine's simulation mode. Every side-effecting node is stubbed during that run, so no customer, installer or supplier is contacted. The agency never activates anything — a tenant_admin approves.

One sentence
a process description in plain language instead of nodes and edges
Test run
in the engine's simulation mode — every side-effecting node is stubbed
Draft only
activation by a tenant_admin only — never by the agency
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AI Governance & Workflows

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Use case

EU AI Act in minutes: classify your AI system and generate the Annex IV dossier

The EU AI Act Advisor classifies an AI hiring tool as high-risk under Annex III(4), maps the Art. 9–15, 17 and 43 obligations with the exact article citations, and generates the audit-ready Annex IV technical documentation as a downloadable PDF — grounded in Regulation (EU) 2024/1689, with honest TO-COMPLETE placeholders instead of invented facts.

High-risk
Annex III(4) — employment, classified in seconds
9
obligations Art. 9–15, 17, 43 — each with its article
Annex IV
technical dossier as a PDF, generated at one click
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Use case

Workflow Builder: AML onboarding from a weeks-long process to an agentic workflow

A full AML onboarding process takes shape live in the admin backend as an agentic workflow — trigger, KYC and sanctions screening (EU list, OFAC SDN, GLEIF), PEP and risk score, automatic routing and a SAR path with human approval. A powerful toolkit of dozens of building blocks: weeks become minutes, every step evidenced and audit-proof.

47
node types: AI · RAG · integrations · logic · agents
Minutes
instead of weeks — the onboarding process automated
100%
audit-proof — every step evidenced, human approval where needed
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Real system demoSimulated scenario
Use case

AI governance & smart routing — every answer cited, every engine chosen for the job

Regulated AI that cites its sources, monitors itself, and routes each request to the right specialist and model — on-premise for sensitive data, cloud for maximum depth. Live guardrails redact personal data, enforce citations and keep a human in the loop; every action lands in a tamper-evident audit trail.

100%
of answers carry a source citation — otherwise the guardrail blocks them
2
engines auto-routed — on-prem (Qwen) · cloud (Mistral)
Live
guardrails — PII redaction, citation enforcement, human-in-the-loop
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Sales

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Use case

Inquiry in, quote out: the AI agents build the concrete quote autonomously

From an informal customer inquiry the sales agents autonomously build a finished quote: they extract the requirements, configure the recipe per EN 206 / DIN 1045-2 (strength, exposure classes, consistency, cement), price it from the price list including pump and delivery, and produce the send-ready quote (Angebot) as a PDF. Discount and final release stay with sales.

Seconds
a quote instead of an hour of price list & recipe
EN 206
recipe by the norm, matched to the exposure class
Autonomous
agents build the quote — release stays with sales
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30 minutes, scoped to your industry, frameworks and integrations. You leave with a concrete scenario — not a sales loop.