AI-Powered Next Best Action: Let Your CRM Think for You

Agents and account managers spend enormous amounts of time figuring out what to do next. Should I call this customer? Send an email? When? What message? RubiLens answers these questions with intelligent next-best-action recommendations— turning decision paralysis into one-click execution.

What "Next Best Action" Actually Means

Next-best-action (NBA) is the practice of recommending the most appropriate action for a customer at a given moment, based on their history, current situation, and business objectives.

For traditional CRM systems, NBA is a dream. They're passive. You look up a customer, review their history, and make a decision. You might decide to call them, but the CRM doesn't help you make that decision—or suggest timing, message, or what to say.

RubiLens is different. It proactively analyzes every customer and surfaces the most intelligent action right now. It's not "maybe call them sometime." It's "call them today with a renewal offer—contract expires in 12 days." It's contextual, specific, and actionable.

Real-World NBA Examples

Here are the kinds of recommendations RubiLens generates daily:

Renewal-Based Actions

"Send renewal offer — contract expires in 12 days" — RubiLens analyzes contract terms and sends alerts. If sentiment is positive, it recommends a simple renewal reminder. If sentiment is negative, it recommends a "let's discuss" conversation. If the customer is at-risk, it recommends an incentivized renewal offer.

Quarterly Business Review (QBR)

"Schedule QBR — last review was 97 days ago" — For enterprise customers, RubiLens tracks when success reviews should happen. It generates recommendations to schedule reviews before they're overdue, with prepared talking points on feature adoption, ROI metrics, and expansion opportunities.

Testimonial Requests

"Ask for testimonial — perfect case study candidate" — RubiLens identifies happy customers with compelling use cases. It recommends exactly when and how to ask for a testimonial, increasing success rates significantly.

Onboarding & Enablement

"Personal onboarding call — reduce churn risk" — New customers have the highest churn probability in the first 60 days. RubiLens recommends proactive success calls, training sessions, and documentation reviews to ensure adoption and reduce early churn.

Expansion Opportunities

"Propose add-on module — customer using 80%+ of core features" — RubiLens monitors feature adoption. When customers are using most of your product, it identifies expansion opportunities and recommends outreach with specific modules or services they're ready for.

Support Escalation

"Escalate to senior specialist — frustrated with current support" — When customer sentiment in support interactions trends negative, RubiLens recommends escalation before frustration reaches critical levels. It identifies the right specialist to handle the issue.

The Key Insight

NBA isn't about generating random recommendations. It's about identifying the moment when a specific action has maximum impact, then making that action effortless to execute.

How RubiLens Generates Recommendations

RubiLens doesn't use simple rules ("if contract_expiration_days < 15, recommend renewal"). That would be brittle. Instead, it analyzes multiple data streams to understand context:

1. Customer History Analysis

How long has this customer been with you? What's their lifecycle stage? Have similar customers churned, renewed, or expanded in the past? RubiLens learns from patterns to predict what's likely to happen next.

2. Sentiment Context

Is this customer happy, frustrated, neutral, or confused? RubiLens reads the room. A renewal recommendation for a frustrated customer is different than for a happy one. Timing and tone matter.

3. Account Status

Payment history, support tickets, feature adoption, login frequency. RubiLens understands account health holistically. A customer with declining logins but positive sentiment needs different action than a customer with increasing support tickets and negative sentiment.

4. Business Rules

You define what success looks like. RubiLens respects your business logic. If you've set a target that customers should have 3 training sessions in their first 90 days, RubiLens alerts when that target is missed.

5. Timing & Capacity

RubiLens doesn't recommend actions your team can't handle. It prioritizes recommendations based on impact and urgency. High-value customers at-risk of churn get recommended before lower-value customers with minor issues.

The Execution Model: From Recommendation to Action

Recommendations without execution are just advice. Here's how RubiLens turns recommendations into action:

Step 1: Agent sees recommendation in their dashboard — "Call Sarah Johnson today. At-risk for churn. Sentiment declining. Recommend win-back offer with 20% discount."

Step 2: Agent reviews context — Click to see Sarah's history, recent interactions, payment status, contract terms. Everything needed to make an informed decision.

Step 3: Agent approves the action — One click to say "yes, I'll act on this." RubiLens logs the decision.

Step 4: AI drafts the outreach — For email: RubiLens drafts a personalized message. For calls: RubiLens generates talking points. For tasks: RubiLens creates a structured follow-up with deadline and context.

Step 5: Agent reviews and sends — The draft is never auto-sent. Agents always have final approval. They can edit the message, adjust timing, or modify the approach. But they're not starting from scratch; they're starting from AI-generated context.

Step 6: Outcome tracking — RubiLens logs when the action was taken, the response, and the outcome. Was the customer receptive? Did they renew? Did churn risk decrease? This feedback loop improves future recommendations.

Why This Matters

This is different from rule-based automation ("if contract expires in 14 days, auto-send renewal email"). RubiLens generates human-reviewed recommendations, not automated campaigns. It augments human judgment, not replaces it.

NBA vs. Simple Rule-Based Automation

Simple Rules ("if X, then Y"):

Brittle. If contract expires in exactly 14 days, send email. But what if sentiment is negative? What if customer is already at-risk?
Impersonal. Every customer with an expiring contract gets the same generic email.
Non-contextual. Can't handle edge cases or unusual situations.
Hard to maintain. When business rules change, you update 50 different automations.

RubiLens NBA (Context-Aware):

Flexible. Understands context. Contract expiring in 14 days + negative sentiment = win-back call, not generic email.
Personal. Generates tailored recommendations based on customer-specific context.
Edge-case aware. Can handle unusual situations that traditional rules can't anticipate.
Easy to evolve. AI learns from outcomes and improves recommendations over time.

Real Impact: What Customers Report

Early customers using RubiLens NBA are seeing measurable improvements:

30% reduction in "what should I do next?" decisions: Instead of agents deciding, RubiLens recommends. Decisions happen faster.
25% increase in proactive outreach: Agents act on recommendations instead of waiting for customers to contact them.
18% improvement in first-contact resolution: Because agents have more context and know the right action from the start.
20+ hours/month saved in team meetings: Less time debating strategy, more time executing it.
Measurable revenue impact: Proactive QBRs increase expansion. Win-back calls save churning customers. Training calls reduce early churn.

Getting Started with NBA Recommendations

NBA is included with Professional and Enterprise plans. RubiLens begins generating recommendations immediately, and you see them on your dashboard within 24 hours.

To learn more about how to set up custom business rules for your NBA engine, see How It Works or contact our team.

The core principle: Your CRM should think, not just store data. RubiLens NBA is how you make that happen.