Customer Education Presentation

Celonis
Enterprise Architect
Interview

This version adapts the uploaded interview-guide HTML into a Celonis-focused customer presentation. It assumes a common enterprise business problem for interview use: a global organisation struggling with fragmented order-to-cash operations across SAP, Salesforce, ServiceNow, and legacy systems, leading to long cycle times, revenue leakage, poor SLA adherence, and limited root-cause visibility.

Process Intelligence Execution Management SAP / ERP Integration Real-Time Signals Compliance & Controls Business Value / TCO
PART 01

Business Problem & Desired Outcomes

Q

What customer problem are we solving with Celonis?

The customer has an Order-to-Cash process that spans multiple systems and teams, but no single operational truth. Sales orders originate in CRM, pricing and fulfilment live in ERP, case and exception handling sit in ITSM or shared services tools, and finance closes the loop downstream. As a result, leaders see outcomes too late and operators cannot consistently prevent failure in-flight.

Symptoms: long order cycle times, blocked orders, invoice disputes, manual touches, unbilled revenue, missed customer SLAs, and high working capital tied up in process friction.

Business case: Celonis provides a measurable path to reduce cycle time, improve cash conversion, lower rework, increase throughput, and expose the exact operational variants causing value leakage.
Q

What are the target business outcomes and value story?

1
Shorten end-to-end cycle time: reduce order creation to cash collection delays by identifying and removing process bottlenecks.
2
Reduce revenue leakage: surface blocked orders, price deviations, returns, disputes, and manual rework before they hit margin.
3
Improve control and compliance: provide process-level evidence, segregation visibility, and repeatable control monitoring across ERP and adjacent systems.
4
Increase operational productivity: move teams from reactive reporting to action-oriented execution with alerts, recommendations, and automated interventions.

The TCO argument is straightforward: instead of funding multiple disconnected reporting, workflow, and consulting efforts, the customer invests in a single process intelligence layer that can be reused across Order-to-Cash, Procure-to-Pay, Inventory, and customer service operations.

PART 02

Core Solution Components

Q

What are the main Celonis components and how do they solve the challenge?

Component

Data Integration

Connects SAP, Salesforce, ServiceNow, databases, flat files, and cloud sources to create a unified event log and common process model.

Component

Process Intelligence

Reconstructs the actual process from transaction data, exposes variants, bottlenecks, conformance gaps, and root causes with drill-down transparency.

Component

Action Flows / Automation

Triggers operational actions such as notifications, ticket creation, workflow initiation, or record updates when process thresholds are breached.

Component

Business Apps & KPI Layer

Delivers role-based views for finance, operations, customer service, and IT with KPI trees tied directly to business outcomes.

Component

Object-Centric Process Intelligence

Supports cross-object complexity such as orders, deliveries, invoices, disputes, and cases without forcing an oversimplified one-object process view.

Component

Governance & Security

Supports secure authentication, role-based access, environment isolation, and auditable access to process data and insights.

PART 03

Reference Architecture

Q

How does the proposed Celonis architecture fit a hybrid enterprise?

The architecture follows a hybrid integration model: enterprise systems remain the system of record, while Celonis acts as the process intelligence and execution layer above them. This allows the customer to gain value without replacing ERP or CRM platforms.

LAYER 01
Business Users & Channels
Finance Shared Services Order Management Customer Success IT / Security
LAYER 02
Celonis Platform
Process Intelligence KPI / Analytics Conformance Variant Analysis Action Flows
LAYER 03
Integration & Data Pipelines
SAP Extractors APIs / Webhooks Batch Loads Near-Real-Time Refresh Data Model Mapping
LAYER 04
Source Systems
SAP ECC / S4 Salesforce ServiceNow Data Warehouse Legacy / Custom Apps
Key architectural message: Celonis is not a transactional replacement platform. It sits across the estate, harmonises event data, and turns operational telemetry into action.
Q

What connectivity, integration, and SLA considerations should IT care about?

Connectivity: enterprise SSO via SAML/OIDC, role mapping to business functions, and least-privilege access to data extraction endpoints.

Integration protocols: native SAP connectivity, JDBC/ODBC, file-based ingestion, REST APIs, and webhooks depending on source maturity and change tolerance.

Transfer pattern:

B
Batch: ideal for daily ERP snapshots, historical backloads, and stable finance datasets.
N
Near-real-time: recommended for blocked order monitoring, aging thresholds, case spikes, and operational alerts.
R
Real-time trigger: used selectively for Action Flows where a control breach or SLA threshold requires immediate intervention.

SLA framing: executive reporting can tolerate scheduled refresh windows, but operational use cases should be aligned to business response windows, such as 15-minute, hourly, or same-day intervention thresholds.

PART 04

Security, Data Privacy & Control Design

Q

How do we address security and privacy requirements?

Security approval depends on showing that Celonis consumes the minimum required data, protects it in transit and at rest, and enforces controlled user access to process insights.

1
Identity & access: SSO integration, RBAC, environment separation, and principle-of-least-privilege for admin and analyst roles.
2
Data minimisation: ingest only the fields required for process reconstruction, KPIs, and control logic; mask or exclude unnecessary PII.
3
Encryption: protect data in transit with TLS and at rest using platform-native encryption controls and enterprise key policies where applicable.
4
Auditability: maintain logging for data loads, transformations, user access, and automated actions affecting source systems.
5
Change governance: promote data models, KPIs, and automation through controlled release processes with business and IT sign-off.
Security positioning: Celonis should be presented as an observability-and-action layer with governed connectivity, not an uncontrolled copy of enterprise data.
Q

How should Celonis be positioned against BI tools and workflow tools?

Capability Celonis Traditional BI / Workflow Stack
Process reconstruction Rebuilds actual end-to-end process from event data Usually limited to static dashboards or manual workflow logic
Root-cause depth Variant, bottleneck, conformance, object-level analysis Typically needs custom modeling and analyst interpretation
Execution layer Action Flows and operational triggers Usually separate automation platform required
Business value model Ties insights directly to throughput, cash, cost, and SLA impact Often descriptive rather than action-oriented
Cross-system visibility Purpose-built for process spanning many enterprise platforms Often siloed by dataset or application domain
PART 05

Implementation Approach

Q

What steps does the customer IT team need to follow?

1
Scope the initial process: agree the first use case, KPI definitions, plants/regions/business units, and measurable value targets.
2
Provision platform access: establish tenant access, SSO, admin roles, network allowlisting, and required extraction credentials.
3
Connect source systems: configure SAP and non-SAP connectors, validate schemas, and agree extraction cadence and recovery handling.
4
Model the process: build event log logic, object relationships, KPI calculations, conformance rules, and business dimensions.
5
Validate with business SMEs: compare reconstructed process against operational reality and sign off the value drivers.
6
Activate execution use cases: deploy alerts, action flows, and remediation workflows for the most valuable exceptions.
7
Operationalise governance: define support model, release management, user enablement, and expansion roadmap to adjacent processes.
PART 06

Likely Panel Questions & Talking Points

Panel Concern

“Why not just use Power BI?”

Because BI reports outcomes, while Celonis reconstructs process behavior, isolates root causes, and enables operational intervention.

Panel Concern

“Will this duplicate our data platform?”

No. Celonis complements the warehouse by specializing in process mining, object relationships, conformance, and execution use cases.

Panel Concern

“How do we keep data secure?”

Use scoped extracts, SSO, RBAC, encryption, environment controls, and auditable admin practices. Start with data minimisation.

Panel Concern

“How fast can we show value?”

Lead with a narrow, high-friction process slice and measurable KPIs, then expand once the first automation or exception reduction is proven.

Panel Concern

“What does IT need to own?”

Connectivity, security approvals, data extraction support, release governance, and operational ownership of the supporting workflows.

Panel Concern

“What is the long-term vision?”

Create a reusable process intelligence backbone across finance, supply chain, customer service, and shared services rather than a one-off dashboard project.

HONEST CAVEATS

Known Risks & Credible Caveats

Most Common Risk

Data Readiness

Weak source-system data quality or inconsistent business definitions can slow time-to-value unless addressed early.

Change Management

Insight Without Ownership

If the business sees insights but no team owns action, value stalls. Execution use cases need clear operational owners.

Architecture Reality

Cross-System Complexity

The platform becomes most valuable in complex environments, but that also means stakeholder alignment across ERP, CRM, ITSM, finance, and security is essential.

Executive Close

Celonis should be positioned as the process intelligence and execution layer that sits across the customer’s existing application estate. It does not replace SAP, Salesforce, or the warehouse; it exposes how work actually flows across them, quantifies value leakage, and enables targeted intervention. The recommendation is to start with one high-value Order-to-Cash use case, prove measurable business impact quickly, and then scale the platform into a reusable enterprise capability.