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Viewpoints

AI Can Generate an Answer. That Doesn’t Mean It Generated the Right One

Use AI, but don't blindly trust whatever is produced by it.

Count the Inquiry Once. Track What Happens Next.

You get a clearer view of marketing results when one inquiry record links the first contact, the meeting held, and the signed engagement.

Your CRM Is Measuring the Wrong Relationship

Measuring relationship depth does not require new software. It requires treating signals with the same seriousness as activity metrics.

Five Ways AI Can Give Sales Managers Their Time Back

Sales leaders can let AI do the manual work while they focus on the human side of sales.

What Salespeople Need from AI Prospecting Before the First Meeting

A useful handoff from AI-assisted prospecting preserves the evidence behind the approach, the buyer's actual response, and the questions the salesperson still needs to ask.

The Hidden Cost of Reconstructing Customer Context Across Enterprise Systems

Organizing operational data around shared business entities can reduce repeated reconciliation and provide CRM, service, analytics, and AI applications with more consistent business context.

Four Checks Before an AI Agent Pilot Gets 2027 Budget

Before an AI agent pilot gets 2027 budget, its sponsor should be able to show a runbook, a sample of the records the agent will read, a named owner who can pause it and a baselined number it will move within a quarter.

Your Pipeline Shows Where Deals Stall. Your Calls Show Why.

The reason for sales call failure lives in conversations: what the rep asked, what the buyer revealed, what got promised, and what got politely dodged.

Global Personalization Needs to Reflect the Market as Well as the Individual

If companies want an experience to feel individual, they also need to understand the environment in which that individual is making a decision.

Your CRM's AI Has a Meter. Do You Know Where It Is?

As CRM vendors fold AI into seat prices, credit pools and per-action fees, sales leaders need five questions to put a real number on what CRM AI costs before their next renewal.

Your AI Agent Read the List, Not the Letters

CRM and inbox agents often report on records they found but never opened, so teams should measure evidence coverage, make "unread" a visible state, and keep the rules that enforce both outside the prompt.

AI Won’t Kill A/B Testing, but Marketers Must Redefine What They Compare

Success will depend on how well marketers can design, evaluate, and optimize customer experiences.

AI Can Make the Purchase, But Companies Still Need to Earn the Loyalty

As personal AI agents take on more purchasing and service interactions, companies must earn loyalty through reliable, personalized experiences and measure success by customer lifetime value.

Before a CRM Agent Acts, Check Which Customer It Has Found

A CRM agent needs more than a plausible match: it must know whose records it has joined, whether those facts are current, and which action the system permits for this request.

The Outreach Success Rate That Flatters the Team

Outreach conversations closed can't stand as a metric on its own.

The Mobile CRM Screen Should Start with the Next Decision

A decision-centered mobile CRM should give field salespeople the context to act, capture the essential outcome, and preserve enough information for the next owner to complete the handoff.

The First 15 Minutes of a Lead: Where Website Enquiries Get Lost

Following a test enquiry from the website into the CRM helps small service businesses uncover missing information, unclear ownership, and delays that customers experience long before anyone replies.

Operational Minimalism: An Essential Discipline for AI-Centric CX Organizations

The payoff from operational minimalism is immediate: Employees are empowered, errors decline, cost to serve decreases, and customers get the service they expect. (Featured on SmartCustomerService.com.)

From System of Record to System of Action: Using Automation and AI to Unlock CRM

Here's what a real-world CRM pipeline looks like, combining AI judgment with RPA and API-driven action to move abuse cases from inception to fully resolved without human intervention.

From Customer Record to Connected Conversation

After decades of talking about omnichannel, there is a straightforward way to judge whether it is working.