Optimize your SaaS product with smart workflows

Manual onboarding generates inconsistent activation journeys and variable adoption times depending on the user. This handcrafted approach causes early churn and limits advanced feature adoption, compromising retention and account growth.

We automate the entire onboarding journey: scheduled email sequences, contextual tutorials, personalized activation tracking, and proactive interventions based on user behavior. This orchestration ensures an optimal and standardized adoption experience.

Automated onboarding significantly reduces early churn and accelerates product feature adoption. This optimization enhances the user experience from the very first use and maximizes perceived value, strengthening customer retention and long-term upsell potential.

less churn after onboarding

in preventive support

faster activation

The lack of a consolidated view of customer usage limits product management capacity and hinders anticipation of evolving needs. This fragmentation of behavioral data delays churn signal detection and reduces the effectiveness of sales actions due to a lack of user insights.

We create a unified dashboard that automatically centralizes usage data: features used, engagement frequency, customer feedback, and satisfaction indicators. This consolidation provides a complete strategic view of user behavior.

The usage dashboard optimizes product decisions through a detailed understanding of customer behavior and improves anticipation of evolving needs. This user intelligence strengthens the effectiveness of sales actions by providing precise insights for upsell and retention, maximizing customer lifetime value.

in roadmap accuracy

30% churn

upsell triggered via data

Customer support requires significant resources for repetitive requests and generates variable response times depending on workload. This manual approach limits user autonomy and compromises the product experience with response times unsuited to immediacy needs.

We deploy an AI conversational assistant that automatically handles common questions, directs users to appropriate resources, and forwards specialized requests to human support. This solution ensures immediate assistance and optimized escalation.

The support assistant automates first-level interactions and significantly improves user autonomy. This optimization reduces the load on support teams while streamlining the product experience, enabling account growth through faster resolution of user issues.

tickets avoided

increase in support satisfaction

faster resolution

Searching for information across internal systems fragments workflows for product, support, and marketing teams. This dispersion generates frequent interruptions, data retrieval delays, and limits responsiveness to urgent analysis or reporting needs.

We deploy an internal AI assistant that centralizes access to critical information, automates report extraction, and suggests optimized actions based on context. This solution unifies data access and streamlines inter-team communication.

The internal AI assistant significantly speeds up data access and reduces repetitive extraction and compilation tasks. This optimization streamlines internal communication and strengthens team autonomy, enabling greater responsiveness in decision-making and execution of product and marketing strategies.

time saved

in better project coordination

reduction in manual errors

The dispersion of customer requests across different channels generates variable processing times and compromises product development prioritization. Manual feedback analysis limits the ability to detect usage trends and delays the identification of priority improvement areas.

We centralize all requests with automatic categorization and AI-driven feedback analysis to strategically guide product and support teams. This consolidation transforms customer feedback into actionable and prioritized product intelligence.Nous centralisons toutes les demandes avec catégorisation automatique et analyse IA des feedbacks pour orienter stratégiquement les équipes produit et support. Cette consolidation transforme les retours clients en intelligence produit exploitable et hiérarchisée.

Automated centralization significantly reduces request processing times and improves product development prioritization. This customer intelligence optimizes R&D resource allocation and accelerates the identification of high-impact development areas, strengthening product-market fit.

in support productivity gains

in backlog reduction

bugs reported earlier