Business challenges
Why Einstein AI & Azure AI Implementation projects fail
01
Einstein is licensed but not properly configured
Salesforce Einstein is included in the enterprise licence. It has never been configured beyond the defaults. The AI features are technically active but produce scores that reps actively ignore.
02
AI features configured without sufficient training data
Einstein Opportunity Scoring running on 3 months of pipeline history. Azure AI deployed without domain-specific fine-tuning. Models producing outputs with no business relevance.
03
No measurement framework for AI performance
AI features are live but nobody is measuring whether they are making any difference to conversion rates, forecast accuracy, or rep behaviour. Leadership cannot justify the licence cost.
04
Platform capability misunderstood
Teams build custom models for use cases that Einstein handles natively in their existing licence. Or they use Einstein for use cases it was not designed for and wonder why it underperforms.
What is included
Everything in this service
Salesforce Einstein
Configure Salesforce Einstein Opportunity Scoring, Lead Scoring, Activity Capture, Forecasting, Next Best Action, and Einstein GPT — calibrated against your actual pipeline data, your stage definitions, and your team workflows.
Deliverables
How it works
Our delivery process
Platform audit
Assess which AI features are licensed, which are configured, and which — if any — are producing measurable business value today.
Use case mapping
Match your specific business outcomes to the AI capabilities your platform supports. Identify mismatches between what you have configured and what you need.
Data preparation
Assess and remediate the training data quality and volume required before each AI feature will produce reliable results.
Configuration & calibration
Configure each AI feature against your specific data, process definitions, and business rules — then calibrate thresholds and weights against real outcomes.
Measurement & optimisation
Establish baseline metrics, deploy, and run 30-day measurement cycles to demonstrate and improve impact.
Success stories
Client results
Einstein Opportunity Scoring was licensed for 2 years and actively ignored by our reps. Celumai reconfigured it against our actual stage conversion data and ICP. Rep adoption went from 0% to 78% in 60 days. The forecast accuracy improvement was visible to the board within a quarter.
Copilot for Sales now drafts follow-up emails, surfaces relevant case studies before calls, and flags stalled deals automatically. Our reps spend 40% less time on pre-call preparation and more time on the conversations themselves.
Platforms we use for this service
Free resource
Salesforce Einstein Feature Guide — get it free
Which Einstein features your licence includes, what each one does, what training data it requires, and what business outcomes you can realistically expect.
From our team
Related insights
FAQ
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