What do we implement?

Marketing

Breeze - HubSpot

flow-of-attention-and-retention

Content personalization, predictive segmentation and intelligent automation.

Sales

Breeze - HubSpot + Genesi.ai

marketing-hub

Predictive lead scoring, next-best-action recommendations and analysis of opportunities with the highest likelihood to close.

Customer Service

Aircall

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Live suggestions, sentiment analysis and prioritization of critical tickets.

Operations & data

Hubdb

revops-processes

Data cleansing, enrichment and synchronization powered by algorithms that learn and adapt in real time.

Tools we use

Breeze AI (HubSpot)

To enhance automation and personalization across marketing, sales and customer service.



Enginy

To scale outbound prospecting with predictive intelligence.

Aircall AI

To enhance automation and personalization across marketing, sales and customer service.

FAQs about Applied Artificial Intelligence

How does Posizionate actually use Breeze AI and Genesi.ai to help my sales team know who to contact first and increase close rates? +

A common challenge in sales teams is lack of focus: too much time is spent chasing leads that are not ready to buy. With the implementation of Breeze AI in HubSpot and Genesi.ai, we replace sales intuition with Predictive Lead Scoring. AI analyzes thousands of historical data points to identify conversion patterns and prioritize opportunities not by arrival date, but by real closing probability. This ensures your sales team invests their best hours in prospects with the highest conversion potential.

But we go beyond simple filtering. This technology acts like a virtual coach, delivering next-best-action recommendations. AI doesn’t just say “call this account” it suggests the optimal timing and the most effective messaging based on the prospect’s previous behavior. This gives your team strategic context before picking up the phone, reducing improvisation and significantly increasing effectiveness across every interaction.

The end result is a measurable improvement in conversion rates. By allowing AI to handle opportunity analysis, sales reps can focus entirely on negotiation and closing. We transform sales into a precision-driven growth engine, where technology guides human effort toward the highest business impact.

How does Aircall AI detect customer frustration or negative sentiment in real time? +

Aircall AI’s sentiment analysis capabilities fundamentally change how customer service teams manage critical situations. In a traditional phone interaction, supervisors often become aware of issues only after escalation or a complaint. Our implementation enables AI to “listen” to conversations in real time, detecting changes in tone of voice, frustration indicators and emotional signals. The system proactively flags and classifies critical interactions, enabling immediate intervention before issues escalate.

Beyond detection, AI also supports resolution through live recommendations. While the agent is speaking, the platform searches your knowledge base and suggests relevant responses, resources or compensation options for that specific scenario. This is especially valuable for reducing agent pressure and ensuring that even junior team members can deliver responses with the confidence and consistency of experienced professionals.

From a business perspective, this translates into a significant reduction in churn and customer loss. By automatically prioritizing critical cases and equipping agents with the right responses in real time, customer service shifts from a reactive cost center into a proactive retention engine powered by real customer signals.

If our current database is messy and outdated, how can Hubdb and AI fix it? +

Applying advanced strategies on top of poor data is like building on unstable foundations. Many companies hesitate to adopt AI because of data quality concerns. With Hubdb and intelligent data-cleaning algorithms, we automate what would otherwise be an impossible manual effort. AI scans your database to detect duplicates, formatting issues and incomplete records, executing large-scale cleansing and normalization without constant human intervention.

But the real value comes from real-time enrichment and synchronization. AI doesn’t just clean existing information it completes missing data by connecting external signals and learning from new interactions. If a contact updates their role on LinkedIn or changes company, our implemented systems can detect and suggest those updates automatically, maintaining continuously reliable and current data.

This creates the foundation for any future automation strategy. By ensuring trustworthy information, you eliminate operational issues such as sending emails to the wrong person or duplicating outreach efforts. We provide leadership and operations teams with a reliable and actionable database, turning information into a strategic asset rather than an operational problem.

How does Breeze AI personalize marketing at scale without making emails feel generic? +

Mass marketing is no longer effective, today’s buyers expect relevance. Breeze AI in HubSpot enables dynamic hyper-personalization that would be impossible to manage manually. Instead of sending one campaign to thousands of contacts, AI analyzes browsing behavior, previous downloads and purchase history to build unique experiences for every user. The system determines the best content, subject line and send time for each individual contact.

Thanks to predictive segmentation, the platform anticipates customer needs. It doesn’t only react to past actions it predicts what products, services or content are most likely to matter next. This enables automated campaigns that feel timely and personal while significantly increasing open and click-through rates compared to traditional static campaigns.

For marketing teams, this means scalability without increasing headcount. Teams can design more ambitious and creative strategies while AI handles execution and personalization. Your brand becomes perceived as a company that truly understands its customers, creating a fluid and relevant commercial relationship that evolves automatically until the lead is ready to buy.

How is prospecting with Enginy different from buying databases or traditional LinkedIn outreach? +

Static databases often contain outdated and cold information, while manual LinkedIn prospecting is slow and difficult to scale. Enginy transforms outbound prospecting by applying predictive intelligence to identify your ideal customer. Instead of targeting everything that moves, the platform uses algorithms to identify companies and decision-makers who not only fit your ICP but also show buying intent signals or moments of organizational change.

By integrating this intelligence with your CRM, we automate the flow of qualified prospects directly into your sales funnel. Enginy doesn’t just provide names and emails it delivers the context needed to start meaningful conversations. We move from “cold outreach” to informed prospecting, where your sales team already understands why that company is a good fit and what likely challenges they are facing.

This dramatically improves Customer Acquisition Cost (CAC) efficiency. By focusing prospecting efforts only on accounts with high conversion potential, your team avoids wasting time on low-value outreach. Posizionate implements this technology to create consistent, predictable and high-quality demand generation, feeding your pipeline with real opportunities week after week.

What do we achieve?

Layer_2 (1)

More focused teams that know which lead to contact, what content to send and how to act at every moment.

Layer_2 (2)

Better-served customers through personalized experiences, even at scale.

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Actionable, clean and real-time data to make better decisions.

Ready to activate AI across your commercial processes?