Einstein AI & Azure AI Implementation
Gen AI & Automation / Einstein AI & Azure AI Implementation

The AI already in your CRM -- finally configured properly

Full implementation of Salesforce Einstein, HubSpot AI, and Microsoft Azure AI -- configured against your data, your use cases, and your business outcomes. Not the default settings.

Native

No new platform needed

4-8 wks

Typical deployment

Your data

All models trained on yours

Measured

ROI tracked from day one

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.

Opportunity scoring calibrationLead scoring by ICPActivity capture setupNext best action rules & Einstein GPT

Deliverables

v Einstein configuration
v Score calibration report
v Activity capture verification
v Next best action rule library

How it works

Our delivery process

01

Platform audit

Assess which AI features are licensed, which are configured, and which -- if any -- are producing measurable business value today.

02

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.

03

Data preparation

Assess and remediate the training data quality and volume required before each AI feature will produce reliable results.

04

Configuration & calibration

Configure each AI feature against your specific data, process definitions, and business rules -- then calibrate thresholds and weights against real outcomes.

05

Measurement & optimisation

Establish baseline metrics, deploy, and run 30-day measurement cycles to demonstrate and improve impact.

Book a free assessment ->

Success stories

Client results

All case studies

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.

V

VP Sales

Enterprise Software Company

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.

C

CRO

Financial Services Platform

Case study Healthcare

180% increase in marketing-influenced pipeline

B2B Healthcare Company

Marketing Operations Rebuild for a B2B Healthcare Company — From Campaign Chaos to Scalable Engine

Read case study ->
Case study Professional Services

300% increase in qualified inbound

CRM Consultancy (60 staff)

Brand Repositioning for a CRM Consultancy — 300% Increase in Inbound Qualified Enquiries

Read case study ->

Platforms we use for this service

Salesforce Einstein Einstein GPT HubSpot AI Microsoft Azure AI Copilot for Sales Azure OpenAI
Salesforce Einstein Feature Guide

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.

PDF * 14 pages * Free

FAQ

Your Einstein AI & Azure AI Implementation questions, answered

Ready to start?

Implement your AI platform correctly

We respond within 1 business day with an honest assessment -- no commitment required.

v Response within 1 business day
v Free initial assessment -- no commitment
v Fixed-price options available
v All data under strict NDA from day one
v 98% on-time delivery across 40+ projects

We respond within 1 business day. No spam.

Client results

What this service has delivered

All case studies →
Case Study
MQL-to-SQL conversion 11% → 49%

AI-Powered Lead Scoring That Increased Sales Qualified Lead Accuracy by 340%

B2B Enterprise Software Company

A B2B software company was passing 180 MQLs to sales every month. Conversion to SQL was 11%. Sales…

11%→49%
MQL-to-SQL conversion
68%
Unqualified lead time saved
1.8x
Revenue per rep
Read case study →
Case Study
23 hours weekly manual work eliminated

CRM Automation Programme for a Logistics Company — 14 Manual Processes Eliminated

National Logistics Company

A logistics company with 280 sales and ops staff had 14 manual CRM processes running on spreadsheets and…

14
Manual processes automated
23 hrs
Weekly work eliminated
12%
Renewal conversion increase
Read case study →
Case Study
Contract review 4 days → 2 hours

Document Processing Automation for a Legal Firm — Contract Review Time from 4 Days to 2 Hours

Commercial Law Firm

A commercial law firm reviewing 60 contracts per week was spending 4 days per contract on initial review.…

2 hours
Review time (from 4 days)
94%
Deviation detection accuracy
34%
Associate capacity increase
Read case study →