Team and user onboarding
Guided onboarding establishes access to the appropriate product experience.
Synqro.ai
Digital Sensei worked on the architecture and implementation of an AI-enabled sales training platform that connects conversation practice, coaching, reporting and Voice AI inside a structured SaaS product.
Static learning content alone cannot provide repeatable conversation practice, structured coaching and useful visibility into readiness. Synqro.ai brings those connected needs into an AI-enabled sales training and enablement product.
The product had to support scenarios and context, role-aware access, conversational and voice interactions, coaching, reporting and the organizational workflows needed to administer a SaaS platform. Digital Sensei worked on the technical architecture and implementation that connects these concerns across customer-facing experiences, administration, APIs and data.
The experience is structured around the people using and managing the platform, with AI serving specific product actions.
Guided onboarding establishes access to the appropriate product experience.
Users and administrators work through experiences appropriate to their responsibilities.
Structured scenarios and product context support repeatable conversational practice.
Practice connects to coaching activity instead of ending when a conversation does.
Reporting surfaces performance and readiness information for review and follow-up.
Administrative configuration and operational visibility support ongoing product use.
The implementation connects distinct product experiences through a shared backend and relational data foundation, with clear boundaries around access, business workflows and external AI services.
An administrative application supports organization and user management, role-aware oversight, configuration and operational workflows.
A separate customer-facing React experience supports day-to-day practice, coaching and reporting workflows.
NestJS and Node.js provide a maintainable API and application layer, backed by PostgreSQL for relational product data.
Conversational and Voice AI capabilities receive the product context they need while analysis and reporting return to the wider SaaS workflow.
Synqro.ai uses conversational AI for practice and Retell AI for voice workflows. The voice capability connects with appropriate application context so each conversation participates in the broader sales-training experience.
Approved application context helps shape conversational practice around the relevant workflow rather than leaving the voice layer isolated.
Verified transfer and handoff functionality allows a voice workflow to move beyond a single self-contained interaction when the product flow requires it.
Post-call analysis and reporting connect the completed interaction back to product visibility and coaching workflows.
This simplified architecture view describes how the verified product layers relate. It is not a screenshot or a representation of private infrastructure.
Conceptual system view. Private infrastructure and implementation details are intentionally excluded.
AI-enabled SaaS still needs disciplined administration. Synqro.ai supports organization and user management, role-aware access, administrative configuration and structured product workflows.
Reporting and operational visibility help authorized users review practice, readiness and performance, while protected administrative workflows support the wider product experience.
The engineering work addresses the architecture and operational concerns that sit beneath visible screens and AI interactions without exposing client-specific implementation.
Synqro.ai is an evolving software product. Its SaaS architecture supports continued refinement of product capabilities as reporting, administration and AI-enabled workflows develop within the broader experience.
Production software also requires operational attention after individual features ship. Architecture, APIs, configuration, logging, deployment support and maintainability provide the foundation for that continued work without implying a speculative roadmap.
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Digital Sensei can help translate product requirements into architecture, frontend and backend engineering, AI integrations and production delivery.