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Ateliers de procédés, audit des données, et un écart d’adéquation avec le produit standard.
Phase 1 · Sensibilisation
Strategic AI, data and analytics
Pragmatic Copilot implementation: high-return use cases in Sales, Field Service and Supply Chain
How to move past AI hype: choose use cases by return, test them with real users, and keep the ones that save measurable time.
The short answer
Pick two or three use cases where people lose hours each week to reading, summarising and drafting. Measure the time before, deploy to a small group, and keep only what the numbers support.
Stages
A use case from idea to decision
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1
List candidate use cases Collect the tasks where staff read, summarise, draft or search: case summaries, quote emails, stock queries.
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2
Score by return and risk Estimate hours saved per week against data sensitivity and the cost of a wrong answer.
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3
Prepare the data Fix the fields the feature reads. Copilot is only as good as the records behind it.
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4
Pilot with real users Run with a small team for four weeks and compare time against the baseline.
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5
Decide and scale Keep it, change it or stop it, on the measured result.
Decision points
Three questions that change the answer
Is a wrong answer costly?
YesKeep a person reviewing every output.
NoAllow lighter review with sampling.
Is the underlying data complete?
YesRun the pilot.
NoFix the data first.
Did the pilot save measurable time?
YesRoll out to the next team.
NoStop, and write down why.
Milestones
What done looks like, and when
- Week 1 Use cases scored.
- Week 2 to 3 Data preparation and licensing confirmed.
- Week 4 to 8 Pilot running with a baseline.
- Week 9 Keep, change or stop decision.
Principles we hold to
- Return is measured in hours, not demos.
- Data quality comes before the feature.
- People review what matters.
- Stopping a pilot is a result, not a failure.
Questions fréquemment posées
Which Copilot use cases pay back first in Dynamics 365?
Usually those that remove reading and drafting: summarising cases and opportunities, drafting follow-ups, and answering stock or order questions. We confirm with a baseline before rollout.
Do we need clean data to use Copilot?
Yes. It reads the records you have, so gaps and duplicates become wrong or unhelpful answers.
Take this to your own programme.
Tell us where you are. We will tell you plainly what this means for your estate and what we would do first.
Prenez rendez-vous pour une consultation
Next: Decision intelligence over static reporting: forecasting cash, inventory and churn →
Comment se déroule un engagement
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Cela commence par une consultation de 45 minutes, puis une découverte et un atelier d’ajustement sur vos propres processus. Vous recevez un programme écrit d’ajustement et un plan par étapes avant qu’un programme ne soit approuvé. Quatre phases suivent, chacune avec un outil que vous pouvez utiliser et revoir.
Conception
Plan de solution, carte d’intégration, et les extensions dont nous aurons réellement besoin.
Déploiement
Configuration, répétitions de migration, formation basée sur les rôles, UAT et transition progressive.
Soutien
Hypercare, services managés, portail client, évaluations d’optimisation programmée.
Ce qui détermine le coût : utilisateurs, entités juridiques et devises, intégrations, migration des données et les lacunes rencontrées par rapport aux standards. Découvrez comment fonctionne la tarification, effectuez le score de préparation en trois minutes, ou prenez rendez-vous pour une consultation.