---
title: Second Nature AI Reviews
meta_title: 'Second Nature AI Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 353 reviews by the users' company size, role or industry
  to find out how Second Nature AI works for a business like yours.
aggregate_rating:
  rating_value: 4.6
  review_count: 353
  scale: '5'
date_modified: '2026-07-13'
parent_category:
  name: Sales Acceleration
  url: https://www.g2.com/categories/sales-acceleration
---

# Second Nature AI Reviews
**Vendor:** Second Nature  
**Category:** [Sales Training and Onboarding Software](https://www.g2.com/categories/sales-training-and-onboarding)  
**Average Rating:** 4.6/5.0  
**Total Reviews:** 353
## About Second Nature AI
Second Nature is a cutting-edge AI role play training solution designed to enhance onboarding, development, and coaching for teams at scale. This innovative platform allows users to create realistic role play training simulations, enabling teams to practice various conversations with human-like AI avatars. By fostering a practice-based learning environment, Second Nature helps employees build confidence, refine their skills, and ultimately drive better results in their roles. Targeted primarily at organizations looking to streamline their training processes, Second Nature is particularly beneficial for companies that prioritize employee development and effective onboarding. The platform caters to a wide range of industries, making it suitable for sales teams, customer service representatives, and any personnel that require strong communication skills. With its ability to simulate real-world scenarios, Second Nature provides a unique opportunity for teams to engage in hands-on practice that traditional training methods often lack. One of the standout features of Second Nature is its ease of use. Users can create role play simulations in just minutes by typing a few prompts or uploading existing training materials. This flexibility allows organizations to quickly adapt their training programs to meet evolving needs. Additionally, Second Nature seamlessly integrates with various Learning Management Systems (LMS) via SCORM or LTI, including popular platforms like Workday, Adobe Learning Manager, and Cornerstone. This ensures that companies can incorporate Second Nature into their existing training frameworks without disruption. The platform's analytics capabilities further enhance its value proposition. Second Nature provides comprehensive insights into employee performance, usage details, and session overviews, allowing organizations to identify what is working well and where improvements can be made. By leveraging these analytics, companies can make informed decisions about their training strategies, ultimately leading to improved proficiency and reduced onboarding time by up to 30%. Powered by generative AI and machine learning, Second Nature delivers immersive role-play simulations that engage users in natural-language conversations. The AI-driven personas are designed to ask questions, pose objections, and adjust their tone, creating a dynamic learning experience. After each session, the AI evaluates participants on knowledge accuracy, conversational style, and essential soft skills such as clarity and confidence. This rigorous assessment ensures that employees are not only learning but are also prepared to apply their skills effectively in real-world situations. With its proven performance, Second Nature has become a trusted solution for leading companies like Adobe, Oracle, and T-Mobile, solidifying its position as a leader in AI role play training.



## Second Nature AI Pros & Cons
**What users like:**

- Users praise Second Nature AI for its **outstanding sales coaching capabilities** , enhancing pitches and improving communication effectively. (48 reviews)
- Users find Second Nature AI to be **super easy to use** , enhancing their sales coaching experience effectively and intuitively. (37 reviews)
- Users appreciate the **AI integration** of Second Nature AI, enhancing training effectiveness and fostering creative thinking in sales. (27 reviews)
- Users rave about the **interactive coaching features** of Second Nature AI, greatly enhancing their sales training experience. (26 reviews)
- Users value the **effective employee development** offered by Second Nature AI, enhancing training and performance monitoring for sales teams. (24 reviews)
- Performance Improvement (20 reviews)
- Course Creation (16 reviews)
- Users love the **interactive AI training** with Jenny, enhancing real-life practice and feedback for sales agents. (15 reviews)
- Customer Support (14 reviews)
- Intuitive (11 reviews)

**What users dislike:**

- Users struggle with **voice recognition issues** in Second Nature AI, making interactions frustrating and derailing conversations frequently. (8 reviews)
- Users report that **serious bugs** hinder usability, causing slow responses and frustrating glitches within the app. (6 reviews)
- Users note the **steep learning curve** for beginners, making initial engagement with Second Nature AI somewhat difficult. (6 reviews)
- Users experience **slow performance** , facing lags and delays that hinder effective communication and usability. (6 reviews)
- Users find the **time-consuming learning** curve of Second Nature AI challenging, especially for beginners unfamiliar with the application. (5 reviews)
- Expensive (4 reviews)
- Slow Loading (4 reviews)
- Users express frustration with **AI inaccuracy** , noting inconsistencies in understanding and responses during conversations. (3 reviews)
- Users often face **inaccurate information** , as the AI misunderstands questions and diverges from the conversation context. (3 reviews)
- Users seek improvements in **language support** for better accessibility and understanding across diverse users. (3 reviews)

## Second Nature AI Reviews
  ### 1. Shows whether a rep can hold a discount pushback

**Rating:** 4.5/5.0 stars

**Reviewed by:** Beverly  M. | Enterprise Sales Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 13, 2026

**What do you like best about Second Nature AI?**

My lower performers showed real improvement in call quality within the first month. Because the practice mirrors real deals, reps don’t dismiss it as just another checkbox exercise. Two of my weakest reps moved up into the middle of the pack in that same month. I also like that when we have a new product launch, it comes with practice scenarios already attached.

**What do you dislike about Second Nature AI?**

I’d like richer out-of-the-box views for managers. Right now, I have to build the readiness snapshot myself.

**What problems is Second Nature AI solving and how is that benefiting you?**

Training used to compete with selling for everyone’s time, but the short drills now fit naturally into the day. Lower performers often fell behind because they got less live practice, and the higher volume of safe repetition has helped close that gap. I used to spend evenings reviewing call recordings, and now the analysis surfaces the same issues in minutes. The ramp was slow, so new reps leaned on the team for months; now they’re able to stand on their own much sooner.

  ### 2. Gives new reps practice without real-deal risk

**Rating:** 5.0/5.0 stars

**Reviewed by:** Brian  A. | Enterprise Sales Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 11, 2026

**What do you like best about Second Nature AI?**

What I rely on most is the manager time it gives back to me every week. It’s scaled across my entire team without needing to add a trainer. The 30+ language support keeps our regional reps aligned on a single standard. The customer success team responds quickly and clearly understands our sales process. Our reps can drill from their phones between meetings while they’re out on the road.

**What do you dislike about Second Nature AI?**

We were looking for deeper native Salesforce integration, and it has improved gradually over time.

**What problems is Second Nature AI solving and how is that benefiting you?**

Reps used to dodge the hardest objections on real calls, and the safer practice environment lets them tackle those first. I used to judge readiness mostly by feel, but now the data shows me who can actually handle a tough negotiation. Onboarding a cohort used to take up my entire month; it still takes work, but it no longer monopolizes my calendar. Weak reps also used to slip by for a full quarter before anyone noticed, and now I can spot the gap in the data within the first few weeks.

  ### 3. Makes low-performer improvement visible within a month

**Rating:** 4.5/5.0 stars

**Reviewed by:** Michael  S. | Head of GTM, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 09, 2026

**What do you like best about Second Nature AI?**

Having practice and call analytics in one place is what ultimately justified the switch for me. Onboarding a larger cohort no longer means I have to double my mock-call sessions. New AEs now reach a contributing level in weeks rather than a couple of months, and I’ve already seen the impact on the team: two of my weakest reps moved up into the middle of the pack within a month.

**What do you dislike about Second Nature AI?**

The avatar’s motion still looks a bit stiff, although it sounds like an upgrade is coming soon.

**What problems is Second Nature AI solving and how is that benefiting you?**

Reps used to learn product claims on live calls, and in practice we often didn’t catch the incorrect ones until later. Now the breakdown flags the wrong claims as they happen. Feedback also used to vary depending on which manager observed the call, but now every rep is measured against the same scenarios.

Lower performers tended to fall behind because they got less live practice. The higher volume of safe repetition has helped close that gap. Coaching used to be one-size-fits-all; now I can tailor it to each rep based on the specific gaps the analysis highlights.

  ### 4. Lets owning teams update their own line

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jonathan  V. | Head of Contracts & Wholesale, Enterprise (> 1000 emp.)

**Reviewed Date:** July 08, 2026

**What do you like best about Second Nature AI?**

The per-product-line scenario libraries let each sales team own its own playbook without stepping on anyone else’s work. Granular permissions also make it easy for each region to see only what it should. I’ve found the roadmap responsive to enterprise asks, with real timelines instead of vague promises. As a result, new reps become quota-ready faster than they did with the old instructor-led approach.

**What do you dislike about Second Nature AI?**

Cohort reporting by hire wave, region, and role still requires an export, rather than being available in a single native view.

**What problems is Second Nature AI solving and how is that benefiting you?**

Spinning up training for a new region used to mean duplicating sessions and pulling in extra trainers. Now the same library reaches everyone from a single place. Our ramp process didn’t scale with headcount and it drained the senior team, but having one shared content set across regions finally stopped the duplication.

Reps previously learned the pitch on live deals, and those misses cost us pipeline. Now they can rehearse in a safe space first. Onboarding also kept pulling senior reps away from selling so they could mentor new hires, and centralizing practice has given that capacity back.

  ### 5. Segments by product line under one report

**Rating:** 4.5/5.0 stars

**Reviewed by:** David  C. | Institutional Sales Professional, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 07, 2026

**What do you like best about Second Nature AI?**

I can show the board that Ramp is consistent across regions, using the same scenarios everywhere. Reporting also rolls up from every region into a single framework that’s easy for me to present to the board. When a new market comes online, it can be up and running in days because the playbook is already centralized. It also handled our headcount without the performance problems I expected at this scale.

**What do you dislike about Second Nature AI?**

Not every language in the catalog feels equally polished. The English version holds up well, but a few of the other languages could use another review pass.

**What problems is Second Nature AI solving and how is that benefiting you?**

We used to struggle to show leadership exactly why a rep was coached a certain way. Now the records clearly tie every coaching point back to approved messaging. Our most complex negotiations required practice that the old training never covered, and reps can now drill those conversations before going live. Personalized coaching simply wasn’t possible across thousands of reps, but the analysis now pinpoints each person’s gaps. And because every region ran its own training, quality had drifted over time; a single, standard set of scenarios has brought everyone back into alignment.

  ### 6. Tightens discovery quality across the team

**Rating:** 4.5/5.0 stars

**Reviewed by:** John  K. | Founder / President, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 06, 2026

**What do you like best about Second Nature AI?**

The breakdown shows me the exact moment a rep caved on terms. Self-onboarding was quick, and I had scenarios live within hours of getting access. It works beyond the core sales team, too, and we even run new-hire onboarding through it. It gave me defensible numbers showing ramp got faster. It surfaces what a rep actually claimed about pricing, not just how smooth they sounded. The mobile experience means practice isn’t chained to a desk. I can tailor coaching to each rep based on what the analysis flags. The analysis also makes it clear whether a rep handled the objection or simply talked around it.

**What do you dislike about Second Nature AI?**

I noticed some voice latency early on. It has improved since then, but it’s still worth mentioning.

**What problems is Second Nature AI solving and how is that benefiting you?**

Mock calls used to eat up hours of my managers’ time every week, and we’ve gotten that time back now that reps can practice on their own. Ramp was slow when new reps had to learn through trial and error; now they can build the right patterns before their first real call. Reps also used to find their footing on live opportunities, which cost us deals, but they can work the rough parts out in practice first.

They used to freeze on tough objections, and the private repetition has built their confidence before live calls. They also used to wing pricing conversations, and the breakdown now shows me exactly where they gave ground. Onboarding quality would dip whenever I got busy, but the structured path keeps the standard consistent regardless. Onboarding also used to cap how many AEs I could ramp in a wave; now I can bring on a larger cohort without doubling the number of sessions.

  ### 7. Unifies ramp across markets built in isolation

**Rating:** 4.5/5.0 stars

**Reviewed by:** Carlton  H. | Manager , Enterprise (> 1000 emp.)

**Reviewed Date:** July 05, 2026

**What do you like best about Second Nature AI?**

The roadmap does shift, but when I flag an enterprise gap, I get a clear, realistic answer on timing. Spinning up a new region took only a few days because content and permissions were already centralized. When we launch something once, its coaching layer rolls out to every region at the same time, which helped us standardize objection-handling coaching across the entire global team.

It also mattered that our security team cleared it early—it reassured me that the controls were genuinely in place. Granular permissions mean each region sees only what it should. At the same time, each product line can run its own scenario library while we still govern everything centrally. Having Salesforce data right next to practice results gives managers a single place to look.

**What do you dislike about Second Nature AI?**

We were looking for tighter, native Salesforce hooks, and they’ve been arriving in stages.

**What problems is Second Nature AI solving and how is that benefiting you?**

Ramp didn’t scale with our headcount and it was draining the senior team, until we moved to a single content set across regions and stopped all the duplication. Our practice content used to lag behind product changes; now the owning team updates its own line the same day.

We also relied on managers to gauge readiness by feel, but the scoring gives us an objective benchmark. We didn’t have defensible proof that our enablement spend was working, and standardized scoring now gives leadership a clear answer.

Reps used to learn the pitch on live deals, and those misses cost us pipeline. Now they can rehearse in a safe space first. Hiring at scale outpaced our trainer hours, and self-serve practice removed that ceiling. Coaching was generic across thousands of reps, whereas the analysis now points each rep to their specific weak spot.

  ### 8. Turns scattered feedback into comparable data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Betty  F. | Sales & Marketing, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 04, 2026

**What do you like best about Second Nature AI?**

I can build a scenario library that keeps growing without turning into an ongoing content project. I clone existing scenarios and tweak them by region, so the content stays fresh without a huge build each time. I also don’t have to rebuild the whole library from scratch whenever the pitch shifts. After getting access, I had scenarios live within hours, with no long setup.

The breakdown makes it clear which reps actually know the product and which ones are bluffing. By consolidating tools, I’ve cut down the time I spend assembling reports every cycle. It works for assessing any sales team, so I run both SDR and AE ramp through it. As a result, every new hire ramps to the same bar, no matter who trains them.

**What do you dislike about Second Nature AI?**

It took a bit of back-and-forth for me to understand the pricing, but once I did, it seemed fine.

**What problems is Second Nature AI solving and how is that benefiting you?**

Role plays used to feel inconsistent and unrealistic, so reps would tune them out. Now the scenarios mirror real deals, and they actually engage with them. New messaging previously took weeks to make its way into the ramp program; now I can fold it into the scenarios that same week. I also couldn’t prove the program’s value to leadership, but the scoring gives me evidence I can use to defend the budget. New hires were progressing at uneven rates, and the self-paced path keeps the cohort moving together without holding anyone back. Coaching used to be generic for everyone, regardless of individual gaps; now I can tailor it based on what the analysis surfaces for each rep. Finally, validating readiness used to mean sitting in and judging by feel, whereas the data now gives me a clear, defensible read.

  ### 9. Pushes one approved playbook to thousands of reps

**Rating:** 4.5/5.0 stars

**Reviewed by:** Stefano  M. | IT Project manager presso, Enterprise (> 1000 emp.)

**Reviewed Date:** July 03, 2026

**What do you like best about Second Nature AI?**

Reps in 30+ languages now ramp on the same standard, which we could never truly enforce before. Regional and cohort reporting makes it clear which teams are ready to sell, and rolling pitch updates out to thousands of reps is no longer a manual project. Using standard scenarios across markets has eliminated the regional variation we used to fight, and the per-line libraries mean a change to one product doesn’t disrupt another.

Having Salesforce data right next to practice results gives managers a single place to look. Reps can start drilling new messaging the same week a product ships. And our success contact understands what it takes to support a sales org at our scale, not just the feature set.

**What do you dislike about Second Nature AI?**

The moving avatars aren’t quite perfect yet, although I’ve heard that an improved version is on the way.

**What problems is Second Nature AI solving and how is that benefiting you?**

Proving what was trained used to mean reconstructing everything after the fact; now the records link directly to approved playbooks. Reps previously faced tough negotiations for the first time on live deals, but now they can rehearse those moments beforehand. Personalized coaching across thousands of reps felt impossible, and the analysis now pinpoints each person’s specific gaps.

New messaging used to reach the field weeks late; now the coaching layer lands alongside the launch. New reps also took too long to reach quota at our volume, and standardized practice is getting them productive sooner. We couldn’t clearly show leadership why a rep was coached a certain way, but the records now tie every coaching point back to approved messaging. And where we had no consistent way to prove ramp landed across markets, the scoring now gives us a single, data-backed read everywhere.

  ### 10. Scales the ramp program without new headcount

**Rating:** 5.0/5.0 stars

**Reviewed by:** Leah  M. | Director of Sales & Marketing, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 03, 2026

**What do you like best about Second Nature AI?**

I keep the scenario library up to date as our pitch evolves, almost as part of my weekly routine. The objective readiness read has replaced a manager’s gut feel. Building a new scenario now takes an afternoon, rather than starting from a blank page and losing half a day. The cohort data also points me toward patterns I can turn into practical sales coaching.

**What do you dislike about Second Nature AI?**

The moving avatars aren’t quite perfect yet, but I understand that an improved version is on the way.

**What problems is Second Nature AI solving and how is that benefiting you?**

The program didn’t scale, and it stretched the enablement team thin. That changed once we moved to a single content set across regions, which finally put an end to duplicate sessions. Training quality used to depend on which trainer happened to be running the room, but a standard set of scenarios now keeps every cohort held to the same bar. I also used to have no clear read on which reps actually knew the product; the breakdown now shows me who’s solid and who’s guessing. And instead of building each session from scratch—which never scaled—a reusable library now carries most of that load.


## Second Nature AI Discussions
  - [Nothing. I like everything about it](https://www.g2.com/discussions/nothing-i-like-everything-about-it) - 2 comments, 1 upvote
  - [What is Second Nature AI used for?](https://www.g2.com/discussions/what-is-second-nature-ai-used-for) - 1 comment

- [View Second Nature AI pricing details and edition comparison](https://www.g2.com/products/second-nature-ai/reviews/second-nature-ai-review-12994165?section=pricing&secure%5Bexpires_at%5D=2026-07-14+01%3A26%3A23+-0500&secure%5Bsession_id%5D=b4aa23f9-408d-4342-990e-e3aa6b070a26&secure%5Btoken%5D=d08a9f12963663efe074c4fc53977abc5a3c734b7768de6272d6f5816cb27763&format=llm_user)
## Second Nature AI Integrations
  - [Adobe Learning Manager (formerly Adobe Captivate Prime)](https://www.g2.com/products/adobe-learning-manager/reviews)
  - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews)
  - [Cornerstone](https://www.g2.com/products/cornerstone-cornerstone/reviews)
  - [Docebo](https://www.g2.com/products/docebo/reviews)
  - [HubSpot Sales Hub](https://www.g2.com/products/hubspot-sales-hub/reviews)
  - [Microsoft Entra ID](https://www.g2.com/products/microsoft-entra-id/reviews)
  - [Okta](https://www.g2.com/products/okta/reviews)
  - [Salesforce Headless 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews)
  - [SAP SuccessFactors HCM](https://www.g2.com/products/sap-sap-successfactors-hcm/reviews)
  - [SCORM Cloud](https://www.g2.com/products/scorm-cloud/reviews)
  - [Workday Learning](https://www.g2.com/products/workday-learning/reviews)
  - [Workday Platform](https://www.g2.com/products/workday-platform/reviews)

## Second Nature AI Features
**Training & eLearning**
- Content Creation
- Content Libraries

**Course Authoring**
- Course Builder
- Questions
- Instructor-Led Training
- Customized Learning Paths
- Video simulations

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Sales Coaching**
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

**Platform - AI Sales Roleplay Tools**
- Skill-Based Certification 
- Low-Latency Conversations
- Cross-system Integration
- Roleplay Buyer Simulation
- Methodology Alignment

**Training**
- Knowledge Base
- Coaching Materials
- Playbook Creation
- Video Record

**Course Management**
- Gamification
- Assessments
- Certifications
- Manager Portals
- Feedback

**Agentic AI - Course Authoring**
- Adaptive Learning
- Natural Language Interaction

**Customization - AI Sales Roleplay Tools**
- Scenario Creation
- Customizable AI Personas
- Multiple Roleplay Type

**Feedback**
- Review
- Scorecard
- Coaching Card
- Leaderboard
- Real-Time Updates
- Notifications
- Competition

**Platform**
- File support
- Mobile support
- Integration

**Feedback Analysis - AI Sales Roleplay Tools**
- Roleplay Reviews
- Real-Time AI Coaching & Feedback
- Speech Analysis
- Performance Scoring & Analytics

**Onboarding**
- Documentation
- Coaching
- Programs

**Generative AI**
- AI Text Summarization

**Agentic AI - AI Sales Roleplay Tools**
- Adaptive Learning
- Natural Language Interaction
- Decision Making

**Platform**
- Customization 
- Integration APIs
- Internationalization
- User, Role, and Access Management
- Dashboards

**Generative AI**
- AI Text-to-Speech

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