AI Enablement

Salesforce AI Consulting That Starts With Use Cases, Not Features

Q: Is this only for large sales teams?

No - AI enablement scales down well. Even a 5-person sales team can benefit from automated lead scoring and call prep if the use case is well-defined.

Most AI enablement projects fail because they start with the technology instead of the problem. We identify the specific workflows AI can actually improve in your Salesforce org, then build around those, not the other way around.

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35%

Avg. Pipeline Conversion Lift

4hrs

Avg. Time Reclaimed Per Rep/Week

Fixed

Price Known Before Work Starts

Sound Familiar?

Challenges We Solve in AI Enablement

You paid for Einstein AI but nobody uses it.

AI only delivers when it is built around a real workflow. We define the use case, prepare the data, and ship agents reps actually use, priced on the outcome rather than the experimentation.

Your data isn’t clean enough for AI to be useful.

We treat the data foundation as step one. An agent is only as trustworthy as the data under it, so we clean and govern before we configure a single agent.

Reps still do manual lead scoring and research.

We automate the busywork with Agentforce. One deployment reclaimed about four hours per rep per week and lifted pipeline conversion 35% in 90 days.

AI Enablement Case Study

Sales Automation with Agentforce

A sales team was spending 4+ hours a day on manual lead scoring, research, and follow-up. We deployed a custom Agentforce configuration with automated scoring and AI-generated call prep.

35%

pipeline lift, 90 days

4 hrs

reclaimed per rep weekly

shortcuts, engineer-reviewed

90 days

to measurable results

Read the full case study →

What’s Included

A Complete AI Enablement Engagement

Every project includes these core deliverables, scoped to your specific situation during discovery.

AI Readiness Assessment

A structured review of your data quality, object structure, and process maturity before any AI configuration begins.

Use Case Identification

Workshops to pinpoint the 2–3 highest-impact AI opportunities in your org, not a generic feature checklist.

Agentforce Agent Configuration

Custom AI agents built around real workflows: lead qualification, case triage, meeting prep, and more.

Einstein AI Setup

Lead scoring, opportunity insights, and forecasting models tuned to your actual sales data and history.

Data Preparation & Cleansing

The unglamorous but essential work that determines whether your AI recommendations are trustworthy.

Adoption & Change Management

Training built around how your team actually works, so AI tools get used rather than ignored.

How We Work

Our Approach

Discovery & Assessment

We map your current state, risks, and success criteria before scoping any work.

Solution Design

A clear plan reviewed and signed off with you before development begins.

Agile Delivery

Two-week sprints with live demos and direct access to your delivery team.

Go-Live & Hypercare

30 days of active support after launch. We don’t disappear after deployment.

FAQ

Common Questions

Do we need Einstein AI or Agentforce, or both?

It depends on your use case. Einstein AI is generally about predictions and scoring within existing workflows; Agentforce is about autonomous agents that can take action. We’ll recommend the right combination after the readiness assessment, not before.

How clean does our data need to be before starting?

Cleaner is always better, but you don’t need perfect data to start, you need to know exactly how clean it is. Our readiness assessment quantifies this and tells you what needs fixing first.

How long until we see results from AI enablement?

Most clients see measurable workflow improvements within 60–90 days of go-live, once adoption has had time to take hold. We track this with you, not just at handoff.

Is this only for large sales teams?

No, AI enablement scales down well. Even a 5-person sales team can benefit from automated lead scoring and call prep if the use case is well-defined.

What does Agentforce or Salesforce AI consulting cost?

Pricing depends on how many use cases you deploy, how ready your data foundation is, and the governance your industry requires. We price on outcomes rather than hours, and we absorb all AI token and compute costs, so there is no usage meter running against your budget. A free 30-minute review is the fastest way to get a firm, fixed quote for your specific use cases.

Last reviewed: July 2026

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Tell Us About Your AI Enablement Challenge

Free 30-minute review with a certified Salesforce consultant. Typical response within 1 business day.

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