Realistic AI role-play
Let agents practise voice and digital interactions with dynamic customer personas in a safe environment.
↗DORA TRAINER
Dora Trainer
Help contact center teams build confidence through realistic AI practice, useful feedback, and clear readiness insight before live customer conversations.
Enterprise perspective
Build readiness before the customer carries the risk
Courses and quizzes show what an agent has seen. Simulation reveals whether the agent can apply knowledge under pressure. Give agents repeatable, on-demand practice while reserving human coaching for complex feedback and performance development. Align simulation criteria with quality, customer, compliance, and operational measures so readiness has a clear production meaning.
01Practice that builds confidence
Capabilities
Turn training from passive content into repeatable skill practice
Configurable scenarios
Build simulations around products, policies, contact reasons, customer behaviours, and required service skills.
↗Immediate coaching insight
Provide structured feedback after each session and give leaders visibility into individual and team readiness.
↗How Gatestone works
A repeatable system for faster, evidence-based readiness
Define critical skills
Identify the behaviours, knowledge, judgment, and compliance requirements that drive performance in priority interaction types.
Design scenarios
Create realistic customer contexts, personas, objectives, complexity levels, and expected resolution paths.
Configure evaluation
Translate coaching standards and quality criteria into transparent post-session assessment.
Pilot and calibrate
Validate realism, scoring, feedback quality, accessibility, and trainer confidence before broader use.
Embed in learning
Assign practice within onboarding, nesting, cross-skilling, remediation, and change-readiness programs.
Measure readiness
Compare simulation progress with live quality and operational outcomes to improve scenarios and coaching.
Client Stories
How the approach could work.
Illustrative service situations with intended outcomes.
Related insights
Ideas for operators building what comes next.
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