Integrating Enterprise Resource Planning Systems with Artificial Intelligence

A senior-level treatment of ERP and artificial intelligence integration, focused on what changes outcomes.

📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points

Course Overview

Vendors sell ERP and artificial intelligence integration as a product; it behaves in practice as a change programme. The constraint on intelligence integration is rarely the model or the platform — it is the data and the operating discipline behind it. Improvement in the wider digital and data-driven work agenda stalls when it depends on one capable individual rather than a defined method. Participants test their assumptions about ERP and artificial intelligence integration against scenarios designed to break weak ones. The level assumes working familiarity with the transformation programme but no prior formal training in the practice within digital and data-driven work. It treats intelligence integration as an operating discipline and equips participants to run it as one. The outcome is a practitioner who can hold a position on ERP and artificial intelligence integration and revise it on evidence. Mature organisations treat intelligence integration as a standing capability rather than a project that finishes. The closing exercise tests whether the participant's plan for this part of digital and data-driven work survives a hostile question.

Expected Learning Outcomes

01

Anticipate the objections that ERP and artificial intelligence integration will attract internally and answer them in advance.

02

Prepare the human side of intelligence integration: who is retrained, who is redeployed, and when they are told.

03

Estimate what ERP and artificial intelligence integration costs to run properly, and what is lost when it is not.

04

Define escalation and fallback for intelligence integration when the automated path fails.

05

Plan the migration path for ERP and artificial intelligence integration without an extended outage or a parallel-running trap.

06

Design the pilot for intelligence integration so its result is decisive rather than merely encouraging.

07

Assess the current state of ERP and artificial intelligence integration against a structured set of criteria rather than impressions.

Who Should Attend

01

Vendor and contract managers overseeing suppliers involved in ERP and artificial intelligence integration.

02

Internal auditors reviewing how intelligence integration is designed and operated.

03

Public sector digital leads applying ERP and artificial intelligence integration under procurement and privacy rules.

04

Department heads accountable for the results of intelligence integration.

05

Operations managers whose processes are changed by ERP and artificial intelligence integration.

06

Business analysts translating requirements for intelligence integration.

Course Modules

01

ERP and artificial intelligence integration: people, skills and the change that follows

2 sessions · 8 points

Session 1Where ERP and artificial intelligence integration touches systems nobody wants to change

  • Design the pilot for ERP and artificial intelligence integration so that a negative result is still useful.
  • Record what was learned when intelligence integration did not go as planned.
  • Define the trigger that would require ERP and artificial intelligence integration to be redesigned.
  • Assign responsibility for keeping documentation of intelligence integration current.

Session 2The governance intelligence integration needs and the governance it does not

  • Confirm that contractual obligations around ERP and artificial intelligence integration are understood.
  • Build the user briefing that explains what intelligence integration does and does not decide.
  • Distinguish symptoms from causes when ERP and artificial intelligence integration underperforms.
  • Remove steps in intelligence integration that add effort without adding assurance.
02

Intelligence integration: from pilot to production

2 sessions · 8 points

Session 1Keeping intelligence integration alive after the initial push

  • Set out the decisions in ERP and artificial intelligence integration that require sign-off and by whom.
  • Test intelligence integration against edge cases drawn from real historical records.
  • Confirm that reporting on ERP and artificial intelligence integration reaches the people who can act.
  • Close out actions on intelligence integration rather than leaving them open indefinitely.

Session 2Proving intelligence integration paid for itself

  • Define the exit route from the supplier supporting ERP and artificial intelligence integration.
  • Set the metrics that will show whether intelligence integration is drifting from its intended behaviour.
  • Check that ERP and artificial intelligence integration still works when volumes rise unexpectedly.
  • Estimate compute and licensing cost for intelligence integration at expected and at peak load.
03

Intelligence integration: vendor selection and avoiding lock-in

2 sessions · 8 points

Session 1Who owns intelligence integration once the project team disbands

  • Prepare the response for the most likely failure in ERP and artificial intelligence integration.
  • Measure the current quality of the data feeding intelligence integration before assuming it is usable.
  • Plan how ERP and artificial intelligence integration is versioned and how a bad release is rolled back.
  • Identify single points of dependency in intelligence integration and reduce them.

Session 2The data question everyone skips at the start of ERP and artificial intelligence integration

  • Identify where judgement in ERP and artificial intelligence integration is legitimate and where it is not.
  • List the data sources intelligence integration consumes and confirm each has a named owner.
  • Record the reasoning behind each architectural choice in ERP and artificial intelligence integration.
  • Identify the skills the team lacks to operate intelligence integration independently.
04

Intelligence integration: cost, licensing and total running expense

2 sessions · 8 points

Session 1Moving intelligence integration from approval to execution

  • Confirm the retention and deletion rules applied to data inside ERP and artificial intelligence integration.
  • Classify the data in intelligence integration and apply access controls that match the classification.
  • Define the service level ERP and artificial intelligence integration must meet and what happens when it is missed.
  • Record the rationale for each significant choice made about intelligence integration.

Session 2Building lasting competence in intelligence integration

  • Benchmark the organisation's ERP and artificial intelligence integration against comparable operations.
  • Agree the smallest change to intelligence integration that would be visibly useful.
  • Assess the regulatory obligations ERP and artificial intelligence integration triggers in each jurisdiction.
  • Decide which legacy process intelligence integration retires, and set the date.

Choose the package that suits you

Silver Package

At least 3 people

USD1,250
  • Workshop or Program Participation
  • Airport Transfers
  • Customized Badge
  • Expert Mentorship (Private Sessions)
  • Supervision & Secretarial Services
  • Accredited Certificate of Participation
  • Complete Training Kit
  • Coffee Break
  • Closing Ceremony

Gold Package

At least 3 people

USD1,850
  • 5-night stay in a 5-star hotel
  • Workshop or Program Participation
  • Airport Transfers
  • Customized Badge
  • Expert Mentorship (Private Sessions)
  • Supervision & Secretarial Services
  • Accredited Certificate of Participation
  • Complete Training Kit
  • Coffee Break
  • Closing Ceremony

Complete your registration

We will contact you within one business day to confirm.