Sales Enablement and Technical Certification That Scales with Your Team
Onboard new reps in days, not months, and certify engineers on technical products without a dedicated enablement team. Discovery calls, demos, objection handling, and technical certifications with AI trained on your own ERP manuals, API docs, and internal wikis. For companies with established corporate universities: we integrate with the existing LMS, we do not replace it.
40%
Reduction in new rep ramp-up time
28%
Win rate uplift after continuous training
50 to 200
Pilot users before scaling
23
Languages supported natively
50+
Engagement badges
Real challenges
What blocks training today
What we hear from training leaders in real conversations. No fluff.
Corporate universities with 10+ years of LMS demand integration, not replacement
Established tech companies have run corporate universities for over a decade, with Cornerstone, SAP SuccessFactors, Workday Learning, or proprietary LMS at the centre. Replacing that infrastructure is out of the question. Roleplays positions itself as a conversational practice layer on top of the existing LMS: the learner takes the theoretical course in the LMS, is redirected to Roleplays for simulated practice, and returns with the score and certificate recorded in the LMS via SCORM/xAPI. We integrate, we do not replace.
Internal technical certifications need AI trained on product manuals
ERP companies, API platforms, DevOps tools, and vertical systems need to certify engineers, implementation consultants, and partners on the technical details of the product. That requires AI with deep knowledge of ERP manuals, API docs, internal wikis, and configuration flows. In Roleplays, you upload all this documentation to the company media library, and the AI uses that corpus as the evaluation base. The result: scalable technical certification without depending on a human instructor with product knowledge.
Pilot with 50 to 200 users before scaling to thousands
Entry into large tech companies invariably follows the pattern: controlled pilot with 50 to 200 users, measurable proof of value, then scale-out to thousands. Roleplays is calibrated for that journey. The typical 60-day pilot delivers metrics on ramp-up time, win rate, internal NPS, and completion rate, with pre-Roleplays baseline for comparison. At scale, the same company workspace supports tens of thousands of users with no reconfiguration.
Two distinct goals: commercial enablement and technical certification
The same company workspace needs to serve commercial roles (SDRs, AEs, CSMs training discovery, demo, objection handling) and technical teams (sales engineers in technical whiteboarding, consultants in product certification, partners in onboarding). Different languages, criteria, and managers. Roleplays separates these two worlds via Permission Sets and parallel tracks, with dashboards consolidated by goal, serving both audiences on the same platform.
Customer Success must practise discovery and objection handling without burning real accounts
Customer Success teams in B2B SaaS must master discovery in renewal, objection handling in expansion, demonstration of new features, and running QBRs (Quarterly Business Reviews). Learning those skills by losing real accounts is expensive. In Roleplays, CSMs train on scenarios specific to the customer lifecycle, with the AI customer playing real personas from the base (frustrated CIO, sceptical financial buyer, freshly-promoted champion).
Sales engineers need technical whiteboarding and depth, not pitch
The sales engineering team lives on a difficult frontier: needs technical depth to answer CTOs and architects, but also needs to influence the purchase decision. Standard sales training does not cover this. Roleplays offers SE-specific scenarios: architecture whiteboarding, deep-dive on integration, named competitive comparison, POC design. The AI plays the sceptical architect and forces real depth.
Startups crossing into enterprise have no enablement team
Startups growing from PMF to enterprise face a hard window: the sales team doubles in size, but they still do not have a dedicated Sales Enablement team. The Head of Sales or CRO runs onboarding "à la carte", with no standardisation. Roleplays fills this gap: you create the templates once (discovery, demo, objections, competitive handling) and each new rep enters the track automatically, with no dependency on manager time.
New reps take 6 to 9 months to hit quota, and the cost is huge
According to Bridge Group, average ramp-up time for an SDR in SaaS is 4.1 months and for an enterprise AE is 9 months. With an average OTE of A$ 180K, each unproductive month represents tens of thousands in cost with no return. Companies with more than 50 reps lose millions per quarter during ramp-up.
Inconsistent discovery calls drain the pipeline
Gong research shows that the top 10% of reps ask 2.4x more discovery questions than the average. Without standardisation, your pipeline fills with unqualified opportunities, contributing to the average 47% forecast miss rate reported by CSO Insights.
Constant product launches invalidate training
SaaS companies launch new features every 2 to 4 weeks on average. Each release requires reps to update pitch, demo, and positioning. According to Forrester, 87% of traditional training content is forgotten within 30 days without continuous practical reinforcement.
Objections are learned by losing A$ 100K+ deals
Reps learn to handle "your competitor does this better" or "we have no budget right now" by losing the deal first. With an enterprise average ticket of A$ 50K to A$ 150K, each opportunity lost to unpreparedness represents a real and measurable cost in your pipeline.
Channel partner certification does not scale
Companies with partner programs need to train and certify dozens to hundreds of partners on multiple products. Manual live role-play processes consume 15 to 20 hours per partner and do not guarantee certification quality consistency.
Top performer knowledge stays locked in one person
According to Salesforce State of Sales, only 28% of reps consistently hit quota. The discovery, negotiation, and closing techniques of your best AEs stay in their heads. Without a system to capture and replicate those practices, the team performance gap persists.
How Roleplays solves it
For every pain, a concrete answer
Segment-specific features mapped to each pain point above.
Integration with existing LMS via SCORM/xAPI
Roleplays connects to Cornerstone, SAP SuccessFactors, Workday Learning, Moodle, and proprietary LMS via SCORM 1.2/2004 and xAPI (Tin Can). Standard flow: the learner takes the theoretical course in the LMS, is redirected to Roleplays for the practical part, and returns with synced score and certificate. SSO via SAML 2.0 / OIDC. For corporate universities with 10+ years of LMS investment, we are the conversational practice layer, not the replacement.
Technical certification trained on your manuals and docs
Upload ERP manuals, API docs, internal wikis, and configuration flows to the company media library. The AI uses this corpus as the evaluation base in technical certification scenarios: module configuration, troubleshooting, API integration, architecture design. Engineers, implementation consultants, and partners certify against your real product, not generic documentation.
60-day pilot with baseline and clear metrics
The typical tech-company adoption journey starts with a 50 to 200-user pilot for 60 days. We define a pre-Roleplays baseline (average ramp-up time, win rate, internal NPS, completion rate) and measure the difference at the end. In every pilot we run, customer success follows up weekly. Success metrics adjusted by use case (commercial vs. technical).
Parallel tracks: commercial and technical in the same company workspace
The same Roleplays workspace serves SDRs and AEs in discovery and demos, CSMs in renewal and expansion, sales engineers in technical whiteboarding, and implementation consultants in product certification. Each track has its templates, personas, criteria, and managers. Dashboards consolidated by goal (commercial vs. technical). Permission Sets control who sees what.
Customer Success scenarios: renewal, expansion, QBR
CSMs train on customer lifecycle-specific scenarios: discovery in renewal (customer re-evaluating), objection handling in expansion (sceptical CFO), feature demonstration to champion, running QBRs with CIO. Personas calibrated to reflect the real customer base: new champion, frustrated executive sponsor, financial buyer questioning ROI.
Sales Engineering scenarios: whiteboarding and deep-dive
SEs train on specific technical scenarios: architecture whiteboarding with CTO, deep-dive on API integration, named technical comparison with competitors ("vs. Snowflake, vs. Databricks, vs. our custom build"), collaborative POC design. The AI plays the experienced sceptical architect and forces real technical depth, not just commercial pitch.
Discovery call simulation with configurable frameworks
AI prospects with configurable ICPs, pain points, buying signals, and resistance levels. Reps practise BANT, MEDDPICC, SPICED, or your custom framework. The AI adapts responses in real time based on rep questions.
Product demo practice with technical objections
Simulate demo scenarios where the AI prospect asks about specific features, integrations, architecture, security, and runs detailed competitive comparisons. Includes technical personas (CTO, VP Engineering) and business personas (CFO, VP Ops).
Objection handling drills by category
Pre-built scenarios for the top 20 objections organised by type: price/budget, competition, timing, authority, inertia. Each scenario has progressive difficulty levels, from receptive prospect to fully hostile.
Multi-product ramp-up with parallel tracks
When reps cover multiple products (cross-sell, upsell), create parallel training tracks. Each product has its own scenarios, personas, and evaluation criteria. Unified dashboard shows proficiency per product.
Channel partner certification paths
Build certification programs for partners with required scenarios, minimum scores, and completion tracking. Partners access a dedicated white-label portal. Ideal for scaling from 10 to 500+ certified partners.
Media Library for best-practice capture
Upload recordings from your best reps via the Media Library. The AI analyses success patterns (discovery questions, reframe techniques, closes) and generates training scenarios replicating those practices for the whole team.
Competitive battlecard training
Simulate scenarios where prospects mention specific competitors by name. Train reps on positioning, technical differentiation, reverse FUD, and win-back strategies. Update scenarios quickly when competitors launch new features.
Voice simulations for realistic practice
Beyond text, reps practise with voice simulations powered by real-time voice infrastructure, replicating the real call experience. Train voice tone, speech pace, and strategic pauses. Video simulation, for body language in live demos, is on the roadmap (coming soon).
Gamification with 50+ badges and leaderboards
Engagement system with more than 50 unlockable badges, proficiency levels, team leaderboards, and weekly challenges. Reps compete with each other and track their evolution. Companies report 3x more practice sessions when gamification is active.
Native support for 23 languages for global teams
Globally distributed teams train in the target-market language. Reps in Brazil practise in Portuguese, the APAC team in English, Japanese, or Mandarin, the EMEA team in English, French, or German, all on the same platform, with AI evaluation calibrated per language.
AI-powered coaching insights for managers
The dashboard shows exactly where each rep struggles (discovery, demo, objections, closing, negotiation) with per-competency scores and evolution trends. Targeted coaching with automatic scenario suggestions for each identified gap.
See a real session
One conversation.
One rubric.
An example roleplay in this context. Each turn is scored against your tenant competency framework.
Scenario
Discovery call with a VP of Operations at a 2,000-employee company evaluating 3 vendors. She has 15 minutes on the calendar and low tolerance for generic pitches. The rep must qualify using MEDDPICC, identify the compelling event, and map the decision process.
Rubric criteria
Fernanda Machado
VP of Operations, enterprise prospect (2,000 employees)
Compliance & framework
Evidence that survives audit
Every session generates exportable evidence with timestamps and per-criterion scores. Audit ready.
SOC 2
Database-per-tenant isolation, encrypted data at rest and in transit, access controls, and audit logging.
GDPR
Data processing compliant with European privacy regulations for multinational tech companies.
Privacy Act 1988 / LGPD
Compliance with the Australian Privacy Principles and Brazilian LGPD, with consent management and data subject rights.
ISO 27001
Information security management aligned with ISO 27001 best practices.
FAQ
Frequently asked questions
Questions that come up in almost every first conversation.
How do you integrate with our existing corporate LMS?
Can you train the AI on our internal manuals and technical docs?
How does the pilot work before scaling?
Does the same company workspace serve commercial and technical teams?
Does it serve Customer Success and Sales Engineering, or only sales?
Does it work for startups that do not yet have an enablement team?
How quickly can new reps start training?
Can we integrate with our CRM?
How does this work for multiple products?
Can we train channel partners at scale?
What about reps who are already experienced?
What is the typical ROI tech companies see with Roleplays?
How does the AI evaluate rep performance accurately?
Does the training work for complex enterprise sales cycles?
How does Roleplays differentiate from traditional LMS or e-learning platforms?
Ready to transform how your team trains?
For organisations with 50+ employees. Book 45 minutes and we'll think the setup through with you.