The problem: activity without forecast truth
What to implement first
- Lead-to-opportunity process and qualification frameworks
- Accounts, contacts, and opportunity hygiene rules
- Quotes, products / pricelists, competitor tracking
- Forecasting and pipeline analytics leaders will use
- Sequences / playbooks and Copilot seller experiences
- Clean hand-off from Marketing and into Service / Field after close
Lifecycle fit: Qualifying, Proposing, Closing
A sensible Sales programme shape
- Discover current sales motion and data quality
- Define stages, exit criteria, and forecast model
- Design Dataverse security and integration (ERP, LinkedIn, marketing)
- Deliver process + dashboards; train managers first
- Add Copilot and advanced analytics on trusted pipeline data
EFQM lens: Direction and results
Next step
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Frequently asked questions
Should we start with Copilot for Sales?
Use Copilot after stage discipline and data quality are in place. AI amplifies the process you have — good or bad.
How do we connect Marketing and Sales?
Agree lead scoring, hand-off SLAs, and feedback loops when leads are rejected. Dynamics 365 Marketing and Sales should share Dataverse truth.
What about multi-country rollouts?
Standardise core stages and forecast rules, then allow controlled local variation. Governance and ALM keep the model from fracturing.
Related: Customer Service · Field Service · Governance & ALM · EFQM & Dynamics 365