There is a moment in most enterprise sales deals when training stops being enough. It is not the pitch; reps rehearse the pitch. It is roughly 11 minutes into a second meeting. The presumed champion falls silent. Procurement joins without context, and price enters the discussion before anyone intended it to. What happens next depends on judgment: whether the seller can read the room, re-establish the value case, ask the right question, and adapt without giving away too much.
Judgment is not primarily a content problem; it is a practice problem. It develops when people experience enough realistic versions of a difficult moment to recognize it, stay composed, and make better choices when it happens for real.
That is the premise behind Cicero by CGS Immersive and why Selling Power has recognized Cicero among its Top AI Sales Coaching Solutions for the second consecutive year. The publication evaluates providers on their solution, skills and job functions supported, differentiators, and measurable customer results.
1. Enterprise AI coaching: Why conversation is now the baseline
Eighteen months ago, an AI system that could sustain a credible buyer conversation felt novel. Today, it is becoming a baseline capability. Enterprise buyers are asking a more consequential set of questions:
Can the simulation handle unexpected turns in a multi-stakeholder conversation—or does it fall back to a pre-set path?
Can leaders see which behaviors need attention across roles, regions, and teams?
Can the organization connect practice to performance outcomes without treating hiring, enablement, coaching, and on-the-job support as separate systems?
Forrester’s The Revenue Enablement Platforms Landscape, Q1 2026 describes a market in which the value of enablement platforms is defined by their ability to equip sellers to engage buyers on their terms, accelerate skill development and readiness at scale, and deliver unified insights that elevate enablement impact. Forrester points to AI-powered roleplay simulations, dynamic coaching copilots, and adaptive learning pathways as the capabilities that have redefined B2B seller training, onboarding, and everboarding in a rapidly evolving category.
Within that landscape, Forrester includes CGS Immersive’s Cicero as one of the notable vendors, with declared focus areas in the extended use cases that matter most in high-stakes selling: helping humans and AI co-create valuable resources, helping sales managers improve team performance, and engaging sellers through usability and clear benefits.
The gap is not whether an AI can provide a polished conversation or a completion score. The gap is whether an organization can demonstrate that practice changed behavior—and understand how that behavioral change affects revenue, risk, retention, or customer experience.
2. AI roleplay: Friction is necessary for realism
A realistic simulation does not mean an AI persona (buyer) is difficult for its own sake. It means that the avatar who responds credibly to what a seller says, including stimulating moments that make the conversation uncomfortable. Without that friction and discomfort, the practice is not as effective.
Consider a pharmaceutical representative speaking with a time-pressed, skeptical general practitioner about a weight-loss therapy. The physician raises a use case heard at a conference that falls outside the approved indication. The rep now must manage clinical accuracy, preserve trust, move the conversation forward, and avoid an unsupported claim—without sounding evasive.
A linear branching exercise cannot reliably prepare someone for that moment. A credible simulation needs to react to the actual conversation.
In Cicero, personas can be configured with behavioral traits and adapt to a representative’s responses. If a seller overstates a clinical study to keep a meeting alive, the Truth Evaluation Engine can identify the discrepancy, lower the relevant score, and link the evaluation to the exact clip, transcript, and rationale. If the seller responds accurately and redirects effectively, the persona can respond in a way that lets the discussion move naturally to relevant areas such as patient access or reimbursement.
Four people running the same scenario should not produce four identical conversations. They should produce four different outcomes, each revealing a different combination of judgment, knowledge, listening, and composure.
3. AI practice analytics should drive actions aimed at improvement
A practice session can generate signals that are useful on their own: response patterns, interruption frequency, empathy markers, technical accuracy, pricing discipline, pacing, and objection handling. The value rises when leaders can use those signals to make a decision.
With Cicero, a manager can identify a trend, for example, weak handling of competitor comparisons across a region, then move from a global skills view to individual session recordings. The manager can assign a targeted Cicero Journeys scenario, monitor progress, and use Cicero Replay to ground a 1:1 coaching discussion in a specific observable moment, rather than in vague feedback such as “you rushed it.”
This is the shift from asking, “Did we train them?” to asking, “Are they ready, and what evidence supports that conclusion?”
When connected to approved commercial data sources, the objective is to examine how practice and capability patterns relate to outcomes such as pipeline health, win rate, deal size, renewals, and retention. Such relationships should be evaluated in the context of the customer’s own data architecture, performance definitions, and governance requirements, not presented as automatic causation.
4. What Cicero’s customers have measured in sales improvements
Selling Power’s assessment includes measurable business impact. Cicero customers have reported outcomes including:
36% sales growth within 30 days at a global telecommunications provider, associated with stronger objection handling, more confident closing, and faster productivity.
28% higher win rates compared with traditional training, alongside an 88% productivity increase.
17% shorter sales cycles, 22% faster onboarding, and 10–15% lower customer-acquisition costs.
92% increase in self-reported rep confidence before and after training, alongside 16% customer-satisfaction growth across customer-facing teams.
At a global health-technology leader: 55% lower training costs, 30–45% faster time to proficiency, and 30-day knowledge retention improving from approximately 10% to more than 85%.
These are customer-reported results. Results will vary based on the use case, starting performance, implementation approach, management reinforcement, data integration, and the quality of the underlying scenarios and rubrics.
5. When the explainability of sales readiness scoring is not optional
For organizations in healthcare, pharmaceuticals, financial services, and other regulated industries, an unexplained AI score is not a useful score. Legal and compliance teams need a defensible basis for how a score was generated, and employees need a fair way to understand and improve it.
That is why Cicero evaluations are designed to connect assessment to observable evidence:
Traceable scoring: Capability moments can link directly to tagged clips, transcripts, and scoring rationales.
Defensible assessments: Cicero Interview can evaluate candidates against explicit role-based criteria and observable behaviors, rather than only an opaque aggregate score.
Integrity controls: The Truth Evaluation Engine can flag possible inaccuracies or exaggerations against approved content and defined rubrics.
Customer-defined standards: Organizations define the skills, behaviors, and approved knowledge that represent good performance; Cicero applies those standards consistently at scale.
Security, privacy, data residency, model configuration, retention, intellectual-property controls, and integration requirements must be evaluated against each organization’s contract and deployment architecture. Buyers should request current documentation and validate requirements directly with their Security, Legal, and Procurement teams.
6. Four questions to ask every vendor of AI coaching
Sales leaders evaluating AI coaching platforms should put the following questions to every vendor—including Cicero:
Can the persona withstand an unscripted conversation? Can a seller take the discussion in an unexpected direction, and does the persona respond credibly without reverting to a rigid script?
Can you show the evidence behind a score? Can a manager open the exact video or audio clip, transcript, and rationale associated with a specific evaluation?
Can practice data trigger a closed-loop intervention? Can leaders move from a team-level skill trend to an individual session, assign relevant practice, and observe progress in one workflow?
How is performance connected to business data—and who controls it? What is integrated, what is merely correlated, what can be attributed, and who owns the resulting data and intelligence?
A vendor that can answer only the first question may offer a useful roleplay tool. A workforce-performance system needs to answer all four.
Challenge us to prove itBring one sales conversation your team cannot afford to get wrong. In a 30-minute session, we will build a representative scenario live, typically in under 15 minutes, subject to the complexity and material available, and you can judge the experience for yourself.
