Dependence on experts
New hires depend on managers, senior sellers, or expert technicians for every important question.
AI RAMP · RAMP-UP AND AI-POWERED TRAINING
Turn your company's scattered knowledge into teams that sell, serve, and resolve faster.
AI Ramp captures your experts' criteria and turns it into micro-academies, role copilots, AI roleplays, and management intelligence so your team stops training from scratch every time someone new joins.
Governed answers · Internal sources · Human escalation when needed
AI RAMP · ROLE COPILOT
onlineSALES ADVISOR
Client requests a quote but doesn't have clear specifications. What should I ask before quoting?
First confirm:
- ·Client need and use case
- ·Key product technical specifications
- ·Timeline, quantities, and delivery terms
- ·Approval criteria and escalation path
Validate specification and commercial terms before promising delivery.
•Internal guide · Quoting criteria · Validated source
THE REAL PROBLEM
Your company doesn't just have a training problem. It has a problem turning knowledge into performance.
Scattered knowledge
Knowledge lives in PDFs, catalogs, videos, conversations, informal processes, and key people's memory.
Inconsistent answers
Everyone explains, sells, escalates, or resolves differently—even on the same cases.
Limited management visibility
Leadership lacks a clear view of who's ready, where gaps are, and what knowledge needs reinforcement.
THE PRODUCT
A ramp-up layer for sales, technical, and service teams.
Not a generic LMS or standalone chatbot. A practical system to capture business knowledge and turn it into learning, practice, and measurement.
Role-based micro-academy
Practical paths for sales, service, and technical teams based on your real operations.
Role copilots
Assistants that answer with criteria using official company sources—not generic replies.
AI roleplay
Teams practice high-stakes conversations with AI before facing real clients.
Management dashboard
Leadership sees team readiness, bottlenecks, and documentation gaps in one place.
STUDENT VIEW
A clear path for what to study, practice, and improve.
Each person sees their active route, commercial and technical readiness, and AI tutor recommendations for the next step.
Active route
Visible progress in areas like "Industrial value sales" or technical specializations.
Next best action
The system recommends what to reinforce before advancing or certifying.
Measurable readiness
People understand their level before operating with autonomy.
Commercial readinessTechnical readinessEvidenceAI tutorPractice LabCertification
The experience adapts by role, course, and level.
AI Ramp · Student view
My AI Ramp Route
Hi, Laura. Your active route combines industrial value sales and Infinity Aignep specialization.
Commercial readiness
71%
Technical readiness
46%
Level
New
Pending evidence
3
Next best action
Practice a conversation where the client asks for pipe price without explaining the problem.
RoleplayIndustrial Value Sales + Infinity AignepLevel: AppliedTime: brief
My active routes
Commercial base
Industrial Value Sales
Commercial foundation to sell with diagnosis, value, and close.
62%
- Active module
- Locate the critical event
- Pending
- Diagnosis roleplay
- Readiness
- 71%
Specialization
Compressed air networks
Technical-commercial specialization to sell compressed air networks as an industrial solution.
28%
- Active module
- Minimum technical fundamentals
- Pending
- Applied glossary + checklist
- Readiness
- 46%
AI tutor recommendation
Your commercial performance is progressing well, but before practicing Infinity price objections you need to reinforce technical fundamentals: pressure, flow, pressure drop, and escalation criteria.
Skills in development
Commercial opening
strongValue Sales
Consultative diagnosis
in progressValue Sales
HOW IT WORKS
From expert knowledge to team autonomy.
We capture
We interview experts, review documentation, and structure frequent products, warranties, objections, processes, and commercial criteria.
We build
We create the knowledge base, micro-lessons, role copilots, roleplays, and responses calibrated with internal criteria.
We activate and measure
The team uses the system in real scenarios. We measure adoption, recurring questions, knowledge gaps, and progress by role, line, or team.
ADVISOR VIEW
A conversation with technical criteria and internal sources.
A new advisor asks like they would ask a senior. The difference: the answer is standardized, measurable, and reusable.
Answers with source
Cites datasheet, catalog, or internally approved criteria.
Trains by role
Advisors, counter, telesales, or quoting.
Practices cases
Quoting, objection, and equivalence roleplays.
AI RAMP · SALES COPILOT
onlineSALES ADVISOR
Client needs to size pipe for a compressed air network. What should I ask before quoting?
First confirm:
- ·Required flow (SCFM or m³/min)
- ·Working pressure
- ·Network length and layout
- ·Required air quality
- ·Installation constraints
Validate diameter and material before promising delivery.
•Internal guide · Infinity v2 sizing · Validated source
AI ROLEPLAY
Practice before losing margin in front of the client.
Scenario
Client asks for a discount because another brand seems cheaper.
Role
Sales advisor
Objective
Defend technical value without promising conditions the company cannot meet.
Difficulty
Applied
Feedback metrics
Commercial clarityTechnical accuracyObjection handlingMargin protectionInternal source usage
Recommendation
Reinforce warranties, equivalences, and escalation criteria before the next practice.
MANAGEMENT INTELLIGENCE
What leadership can finally see.
124
Active users
87%
Weekly adoption
1,248
Queries resolved
18
Gaps detected
Readiness by role
Sales78%
Customer Service92%
Technical65%
Recurring questions
- ·Extended warranties
- ·Technical equivalences
- ·Volume discounts
“The team shows progress in basic support, but needs reinforcement in objections, warranties, and equivalences before operating with greater autonomy.”
BUILT FOR COMPANIES WITH CRITICAL KNOWLEDGE
Ideal for teams where operations depend on explaining, selling, resolving, and escalating well.
AI Ramp works especially well in companies with multiple product lines, policies, warranties, processes, brands, roles, and client scenarios.
B2B distributionCommercial teamsCustomer serviceTechnical servicesInternal operationsAfter-sales supportCorporate trainingHigh-turnover teamsMulti product-line companiesCustomer experience
COMMERCIAL OFFER
Start with an initial pilot. Expand line by line.
The pilot validates adoption, captures the company's most critical knowledge, and creates a first measurable readiness view. From there, expansion can grow by roles, product lines, branches, or processes.
Initial pilot
Micro-academy, role copilots, AI roleplays, basic dashboard, and executive findings report.
- 20–40 users
- 1–3 product lines
- Readiness dashboard
Status: Ready to validate with a real team
Platform + monthly operations
Continuous access, knowledge updates, reports, adoption tracking, and managed system improvement.
Product-line packs
New knowledge line, learning route, roleplays, copilots, and metrics specific to category or team.
RESULTS
What the business buys is autonomy.
The promise isn't 'AI training'. The real promise is fewer repeated questions, faster productive people, fewer avoidable errors, and greater visibility for leadership.
Less dependence on managers or senior experts.
More consistent commercial and service answers.
Faster speed to serve, quote, or escalate.
Readiness score by role, line, and person.
Repeatable system to onboard new product lines.
Visible gaps before they affect clients or sales.
SECURITY AND CONTROL
Your company's knowledge stays your company's.
Does not train public models
Internal information is not used to train public models or shared outside the defined instance.
Validated sources
Answers are based on documentation, criteria, and sources approved by the company.
Role-based control
The company defines who can query what, what is measured, and when to escalate to a person.
Governed knowledge
The system identifies outdated, missing, or information that needs review.
Stop rebuilding knowledge every time someone new joins.
Start with one team, two roles, and the lines that create the most friction. Validate whether AI Ramp reduces dependency, exposes gaps, and accelerates autonomy with real users.
← Back to ValerIAGoverned answers · Official sources · Human escalation when needed