From SAP® transformation to AI agents in your business processes: we take your initiatives into production faster, more affordably and safely.
Area 01 · SAP and enterprise systems
Transformation & Go-Live
We lead your SAP transformation safely across the finish line – from program leadership through go-live to stable operations.
The challenge
Mainstream maintenance for SAP ERP 6.0 ends in 2027 – for many companies, the move to SAP S/4HANA® is due now. It is decided at go-live: thousands of activities, hard dependencies and a tight window in which the business has to keep running. This is exactly where we are at home.
When clients bring us in
–Go-live is approaching, but the cutover plan, data migration or fallback are not yet solid.
–The program is behind plan, and the steering committee needs an independent view.
–Several systems go live in parallel – across sub-projects, vendors and business units.
AI agents as reinforcements for your project team: tests, specifications and data reconciliations in hours instead of weeks.
The challenge
Testing, specification and documentation effort grows with every rollout, and quality depends on a few specialists. AI agents change this equation fundamentally – if you know how to put them to work. That is exactly what we bring to your team.
When clients bring us in
–The next rollouts are due, but testing and migration specialists are scarce.
–Your teams already use AI tools – but without shared rules for quality, approvals and data protection.
–You want to know how much time and cost AI agents will save in your program – measured, not estimated.
AI agents that do real work: checking, preparing decisions, taking action – from the first use case to scaled operations.
The challenge
The age of pilots is over: boards now expect results from AI. We take your agents into production – with quality, data protection and cost per transaction under control.
When clients bring us in
–You know AI agents will change your processes – but not where to start.
–Your AI pilot impresses in the demo, but quality, approvals and cost per transaction are still open for production.
–Exceptions and manual data entry tie up skilled staff in finance, procurement and maintenance.
The energy sector is rebuilding itself – and we are helping to build it: from a group-wide SAP S/4HANA® transformation to parallel go-lives of five and eight new systems at utilities and grid operators. We bring this industry knowledge to every engagement.
From project delivery to business processes: this is where AI agents already make the difference today – each with the metrics you measure success by.
AI in Project Delivery
The AI control room for your go-live
The challenge
Thousands of activities, critical dependencies, a tight window – and status updates from dozens of teams.
Our approach
AI agents continuously consolidate every update, spot delays and conflicts before they become critical and prepare go/no-go decisions ready for sign-off.
What you gain
The full picture at the push of a button – and decisions before a delay becomes a risk.
Testing, specification and documentation effort grows with every rollout; quality depends on a few specialists.
Our approach
AI coding agents create test cases, specifications and documentation while automated checks safeguard every change – your team focuses on the decisions.
What you gain
Every rollout faster and more cost-effective than the last.
Invoices, delivery notes and contracts arrive as PDF, email or scan – and are captured and checked by hand.
Our approach
Language models read the documents and fill fixed schemas with provenance and confidence: clear cases flow straight into the process, only unclear ones go to a person.
What you gain
Manual data entry becomes the exception – your team only handles the special cases.
Month-end close without the reconciliation marathon
The challenge
Account reconciliations, intercompany differences and accruals tie up your finance team for days every month – under time pressure and with many manual steps.
Our approach
AI agents continuously reconcile accounts and intercompany balances, explain differences with document references and prepare correcting entries – posted only after approval.
What you gain
A faster, calmer close – your finance team analyzes instead of reconciling.
Duplicate or incomplete customer, supplier and material master data create exceptions in every downstream process – and become expensive by the time of migration at the latest.
Our approach
AI agents check new and changed master data against rules and existing records, detect duplicates and fill gaps with cited sources – approval stays with the data owners.
What you gain
Errors are stopped at entry, not in the process – and your next migration starts with clean data.
Fault reports arrive by phone, email or app – incomplete, duplicated and as free text. Before an order exists, dispatchers are busy chasing details.
Our approach
An AI agent assigns the report to the right equipment and functional location, detects duplicates and proposes the order, materials and required skills – approval stays with dispatch.
What you gain
Faster fault clearance, fewer follow-up calls – and a dispatch team that plans instead of sorting.
Grid operators receive more and more requests for solar systems, heat pumps and wallboxes – often incomplete and with long lead times.
Our approach
An AI agent checks completeness, requests missing information and prepares the technical assessment – the decision stays with the specialist department.
What you gain
Shorter lead times for your customers – and more capacity for the energy transition.
We apply the delivery discipline of international SAP transformations to Agentic AI – with robust architectures, automated evals, guardrails and clear operating models.
Discipline in enterprise programmes
Equivalent in AI systems
Implemented in hentschel.ai
Acceptance criteria
Equivalent in AI systems→Grading rubric and pass rule
Implemented in hentschel.ai→6 dimensions, 16 finding categories, minimum grade 4 out of 5
Regression testing before release
Equivalent in AI systems→Scenario catalogue with the real model
Implemented in hentschel.ai→around 120 scenarios with frozen market data
Change and release management
Equivalent in AI systems→Pull request with automated checks
Implemented in hentschel.ai→more than 150 pull requests; automated checks on every new pull request
Roles and approvals
Equivalent in AI systems→Human in the loop for write access
Implemented in hentschel.ai→Approval click and preview match
Cutover and go-live control
Equivalent in AI systems→Staged, safe migration
Implemented in hentschel.ai→Migrations first in agent and preview environments, only then in production
Knowledge management
Equivalent in AI systems→Versioned knowledge base for agents
Implemented in hentschel.ai→38 knowledge files in the repository
Compliance and internal controls
Equivalent in AI systems→Policies as automated tests
Implemented in hentschel.ai→EU binding, job monitoring, language catalogue
Business case
Equivalent in AI systems→Cost per transaction, decision by A/B measurement
Implemented in hentschel.ai→Model switch rejected: 2.2 times the cost without measurable added value
Hypercare and operations
Equivalent in AI systems→Monitoring and feedback
Implemented in hentschel.ai→every job monitored, real-world failures become test cases
Every engagement is led by experience: Rainer Hentschel is accountable for approach and outcome. Delivery comes from a team that grows with your initiative – consultants and specialists for cutover, migration, testing and AI engineering, amplified by AI agents. That is how we combine the firepower of a large consultancy with the speed of a boutique.
1
Diagnosis
2–4 weeks · fixed price
Within a few weeks, you know where you stand and what matters next – with one of our entry engagements, from the Cutover Readiness Check to the AI Use Case Sprint.
2
Delivery Office
for the duration of the program
We take on leadership and delivery – as a Cutover & Migration Office or AI Delivery Office, with a team that scales with your program.
3
Enablement
ongoing
We make your team strong for go-lives and AI agents: with methods, templates and coaching – from the cutover compendium to the eval framework.
Frequently asked questions
What clients want to know up front
Who works on my project?
A team that fits your initiative: Rainer Hentschel is accountable for approach and outcome, consultants and specialists from our team and network deliver, and AI agents take over the routine work. You have fixed points of contact from kick-off to go-live.
What sets Hentschel Consulting apart from a large consultancy?
Three things. First, senior leadership in every engagement: the person accountable for your initiative remains your point of contact from the first conversation to go-live. Second, two worlds in one team: delivery experience from some of Europe's largest SAP programs combined with our own AI engineering, proven by our in-house product hentschel.ai. Third, independence: we recommend what serves your initiative, and we work side by side with your system integrator to deliver it.
How does an engagement start?
With a no-obligation initial conversation about your situation, goals and timeline. This is usually followed by an entry format of two to four weeks: Program Health Check, Cutover Readiness Check, AI-native Delivery Check, AI Use Case Sprint or AI Pilot-to-Production Review. On that basis, you decide whether and how to continue.
What does an entry format cost?
Entry formats are offered at a fixed price. You receive the proposal after the initial conversation, tailored to scope and duration.
Which roles does Hentschel Consulting take on?
Depending on the initiative: overall or sub-project lead, cutover, migration or test management, setting up AI-supported delivery, or guiding AI initiatives from pilot to production – as lead within the program or as an independent second opinion.
Does this work alongside our system integrator?
Yes. A typical setup is a cross-functional role alongside the system integrator and business units that brings plans, dependencies and decisions together across all workstreams.
On site or remote – and where?
Both, depending on the project phase: analysis and planning often remote; workshops, dress rehearsals and go-live on site. Based in Beinwil am See, Switzerland, with engagements in Switzerland, Germany and across Europe. Project languages are German and English.
How are confidential data and AI tools handled?
Confidentiality is agreed before the project starts, with a separate non-disclosure agreement if required. AI tools are only used with your approval and in line with your policies on data protection and data residency.
Who is the contracting party?
Hentschel Consulting GmbH, based in Beinwil am See, Switzerland. Specialists from the network work under its overall responsibility.
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