Salesforce Einstein Services
Einstein that predicts, automates, and actually earns its licence fee.
Lead Score Accuracy
Model confidence
Opportunity Win Rate
vs 38% baseline · +21pts
Case Deflection
Einstein Bot handling
What is Salesforce Einstein?
Salesforce Einstein is the AI built into Salesforce. It uses your CRM data to score leads, predict which deals will close, suggest the next best action, draft replies, and summarise records — right inside the screens your team already uses. Think of it as a smart assistant sitting on top of your Salesforce data: the cleaner that data, the sharper its predictions. Einstein now sits under the wider Einstein 1 platform, alongside Salesforce’s generative and agentic AI.
● Salesforce Consulting Partner
● Available on Salesforce AppExchange
AI isn't an add-on. It's the engine underneath everything..
Most Salesforce orgs have it turned on. Almost none have it architected to do anything useful. That’s the gap we close.
Predictive Analytics
Machine learning models trained on your org's data — not generic benchmarks. Lead scores and opportunity insights that reflect how your customers actually behave.
Intelligent Recommendations
Next Best Action surfaces the right step for every rep at the right time — based on signals from the full customer record, not a static playbook.
Workflow Automation
Einstein triggers automation based on predictions. High-score leads route instantly. At-risk renewals get a flag before the rep notices. Cases get resolved before escalation.
Governed Decision Intelligence
Every AI output is traceable. Bias checks, explainability, and audit trails built in. Your compliance team will have questions — we have the answers ready.
What Salesforce Einstein actually does?
Lead and opportunity scoring
ranks who’s actually worth chasing, so reps spend time on the right deals.
Sales forecasting
predicts what will close and when, so the pipeline isn’t guesswork.
Next-best-action
tells reps and agents the smartest next step in the moment.
Conversational assistance
the in-Salesforce assistant once branded Einstein Copilot is now part of Agentforce; Einstein itself focuses on the predictive and generative layer underneath it.
Auto-summarisation
writes call notes, case summaries, and email recaps for you.
Einstein for Service
suggested replies, automatic case classification, and article recommendations for support teams.
Predictive and generative insights across Sales, Service, and Marketing, all driven by your own CRM data.
Six capabilities.
One architecture.
each other rather than running in isolation.
Predictive Lead Scoring
Einstein analyses historical conversion patterns — engagement signals, firmographic data, activity history — and assigns a live score to every lead. Your sales team stops guessing who to call first.
Einstein Discovery
Automated statistical analysis across your entire dataset. Surfaces patterns your team wouldn't have looked for — churn predictors, upsell signals, seasonal behaviour. Explanations in plain language, not data science jargon.
Einstein Bots
Conversational AI on your Service Cloud and Experience Cloud. Handles routine queries, gathers case info, and hands off with full context when it hits something that needs a human — no dead ends.
Prediction Builder
Custom ML models on any standard or custom Salesforce object — no data science team required. We configure, train, validate, and deploy models that answer specific business questions your team actually has.
Next Best Action
Surfaces contextual recommendations directly in Sales Cloud and Service Cloud UIs. Trained on your org's outcomes — not a template library. Reps see what actually works for this customer.
Sentiment & Case Intelligence
Einstein reads incoming case emails and chat transcripts to classify sentiment, detect urgency, and suggest routing before a human reads a single word. Escalations caught earlier. Resolution times shorter.
What changes when
Einstein is built right.
when scoping every Einstein engagement.
Sales teams work the right pipeline
Predictive scoring and opportunity insights mean reps spend time on deals that will close — not just deals that are open. Win rates go up without adding headcount.
Support deflects before it escalates
Einstein Bots and Case Classification handle the repeatable volume. Your service team deals with cases that actually need them — which means faster resolution and lower cost per case.
Data-governed, explainable decisions
Every AI output has an audit trail. Compliance teams can see why a recommendation was made. Models are monitored for drift. No black boxes you can’t explain to leadership or regulators.
Models that scale with your business
Einstein’s ML retrains as your data grows. No manual recalibration. The algorithms that work for you at 10,000 records keep working at 10 million — and get more accurate with every transaction.
AI that does real work.
We build AI that lives inside Salesforce and does real work — lead scoring, next-best-action, auto-summarisation, and automated flows. And the impact is measurable, not theoretical:
Chevy Chase Healthcare. A high-volume clinic was losing patient enquiries daily with no CRM. We built Sales Cloud with structured lead capture and automated follow-up. Conversions rose 40%, agent admin time dropped 30%, and the pipeline went from invisible to fully visible on day one.
Einstein vs Agentforce what’s the difference?
Einstein is the predictive and generative AI woven through Salesforce: scoring, forecasting, suggestions, summaries. Agentforce is the newer layer of autonomous agents that don’t just suggest — they act, handling whole tasks on their own. Most teams use both: Einstein to make the data smart, Agentforce to put it to work.
Further reading on Salesforce Einstein
Go deeper on Einstein AI — from the full platform guide to understanding how it compares with Agentforce.
We build Einstein on top of clean foundations.
AI doesn’t fix dirty data. It amplifies it. Before we configure a single Einstein feature, we review your data quality, your object model, and your existing automations. That’s the part most consultancies skip.
We’ve inherited orgs where Einstein Lead Scoring was scoring on the wrong fields. Where Prediction Builder models were trained on biased historical data. Where Einstein Bots were deflecting the wrong cases. We know what bad looks like — and how to build it right.
Certified AI and Einstein specialists
Not generalist Salesforce admins. Our Einstein architects hold AI Specialist certifications and have delivered production Einstein implementations across Sales Cloud, Service Cloud, and Data Cloud.
Outcome-driven, not feature-driven
We scope Einstein engagements around the business problem, not the feature catalogue. Lead Scoring only if your data quality supports it. Bots only if case volume justifies it. No vanity configurations.
Architecture-first delivery
Data model review, signal mapping, and training set validation before any model goes into configuration. The architect who scoped the project builds it. No handoffs to a junior after kickoff.
Post-deployment model monitoring
We don't hand over and walk away. Einstein models drift as data changes. We stay embedded after go-live to monitor accuracy, retrigger retraining, and flag when a model needs reconfiguration.
Data review before
a single model is trained.
in stages three and four is worth anything.
Data & Org Audit
Data quality assessment, signal availability review, existing automation conflict check. We map what Einstein will have to work with before proposing any configuration.
Foundation
Intelligence Architecture
Feature selection, training set design, prediction target definition, bias risk review. A documented specification — reviewed and approved — before any configuration begins.
Blueprint
Model Build & Validation
Configuration, training, accuracy validation, and A/B testing in sandbox. You see model performance metrics before anything reaches production.
Build
Deploy & Monitor
Production deployment, user enablement, and 60-day post-launch monitoring. Accuracy tracked. Models retrained when drift is detected. We stay embedded.
Ship
Common Einstein
questions answered.
It’s the AI built into Salesforce that uses your CRM data to score leads, forecast deals, suggest next steps, draft replies, and summarise records — inside the screens your team already uses.
Lead and opportunity scoring, sales forecasting, next-best-action, generative drafting and auto-summarisation, and service features like suggested replies and case classification — across Sales, Service, and Marketing. The conversational assistant once called Einstein Copilot is now part of Agentforce.
Einstein predicts and suggests; Agentforce acts. Einstein scores a lead and recommends a step; an Agentforce agent can carry that step out on its own. Most teams run both together.
Not always — Einstein works on your existing CRM data. But the more complete and unified your data is, the better its predictions, which is where Data Cloud helps. We’ll tell you whether you actually need it.
Both. Einstein for Service handles suggested replies, automatic case classification, and knowledge-article recommendations, while the sales features cover scoring and forecasting.
It’s worth it when you have enough clean data for the predictions to be reliable and a real workflow for reps to act on them. If your data’s thin or messy, we fix that first — otherwise you’re paying for guesses.
Einstein’s advantage is that it lives on your Salesforce data and workflows, so its predictions act where your team already works. The right choice depends on which platform your data and processes already sit in — we work across them and will give you a straight answer.
Yes — set up right, Einstein’s models improve as your data grows. The key is a clean data foundation from the start, so you’re refining predictions later, not rebuilding them.
Yes — 60+ Salesforce certifications across the team, and we’re a Salesforce Consulting Partner on the AppExchange. A senior certified consultant runs your project from day one.
What clients say about the results.
Over the last decade, I have engaged with many Salesforce integrators, ranging from global giants to niche firms. Amroar stands out as the premier partner. Proactive, technically astute, and consistently focused on finding the right solution rather than the easy one.
Amroar was the key driver in our successful Salesforce overhaul. Precise timelines, adhered to them. A unique talent for translating rough concepts into functional, scalable features — and incredibly fast at resolving post-deployment items.
We threw several complex curveballs their way mid-project, and they adapted seamlessly — often suggesting better alternatives than what we asked for. A fantastic team to partner with.
A truly reliable company that resolved legacy issues our previous vendors couldn’t touch. Availability is top-tier, and turnaround time on support tickets is impressive. Highly recommended.
Working with Amroar has been as educational as it has been productive. I have full confidence that when I hand a scope of work to the Amroar team, it won’t just be completed — it will be executed with excellence.
Amroar diagnosed, planned, and delivered on our requirements with precision. Their work ethic and technical grasp are second to none. Regardless of the tech stack, our next initiative belongs to the Amroar team.
Ready to make Einstein actually
do something
?
intelligence on, and give you a clear assessment — data readiness, feature fit, and what we’d actually build.