Enterpret Unveils AI Customer Intelligence Platform, Reduces Notion's Analysis Time by 70%

Enterpret's new AI Customer Intelligence Platform is redefining how product teams act on customer feedback. Drawing lessons from industry leaders like Canva, Perplexity, and Notion, the platform demonstrates that future competitive advantage lies in rapidly converting raw feedback - from support tickets to social media - into actionable, decision-ready insights.

Product leaders demand swift, data-driven answers to complex questions. As detailed in Enterpret's Foundation for Customer Intelligence blog, its platform achieves this by consolidating feedback from over 50 sources. It learns a company's unique taxonomy and directly connects customer comments to their revenue impact.

By unifying data, generating contextual insights, and pushing alerts into daily workflows, this AI-driven approach empowers teams to resolve issues faster, build features customers want, and justify roadmaps with direct evidence from users.

Why unified feedback beats scattered spreadsheets

Many organizations remain stuck with manual, brittle spreadsheet systems for feedback analysis. Enterpret automates this process with its Adaptive Taxonomy, which dynamically adjusts as products and customer language evolve. Analysts can use Wisdom AI to query millions of data points with natural language, tracing each insight back to its original source and associated revenue. This approach, highlighted by Notorious PLG, enables teams to identify renewal-threatening feature gaps in minutes, not days.

An AI customer intelligence platform ingests unstructured feedback from disparate channels like support, social media, and reviews. It uses a proprietary taxonomy to automatically categorize comments, link them to user profiles and revenue data, and surface critical insights for product, support, and go-to-market teams without manual tagging.

Case signals from design, search, and workspace tools

While complete metrics from Canva and Perplexity are not public, early adopters confirm significantly improved alignment across product, support, and go-to-market teams. Notion provides a validated metric: its team cut analysis time for monthly user-insight reports by 70% using Wisdom AI, enabling a shift toward more strategic work. The platform also powers proactive alerts via Escalation Agents, which flag emotionally charged feedback in Slack to prevent issues from escalating. For a high-growth company, this rapid diagnosis can save thousands in monthly recurring revenue.

Trends steering AI customer intelligence in 2025

Industry-wide trends confirm the growing demand for AI-driven Voice of Customer (VoC) dashboards:

• Research from NICE projects that 95% of customer interactions will involve AI by 2025.
• Fullview reports an average ROI of $3.50 for every $1 invested in AI service platforms, alongside a 12% lift in CSAT.
• Omnichannel tools that integrate five or more sources, as noted by the CU Independent, are eliminating data silos and insight delays.

This data signals a market shift from descriptive ('what happened') to prescriptive ('what to do') analytics. Modern platforms now identify root causes, suggest issue owners, and can automatically generate tasks in tools like Jira or Linear.

Integrating AI insight into daily execution

Enterpret integrates directly into engineering and CX workflows, pushing tagged feedback, impact scores, and resolution updates into existing tools. Real-time Slack notifications alert teams when issues are resolved, creating a closed feedback loop with three key outcomes:

1. Accelerated Triage: Critical bugs are surfaced and assigned within minutes.
2. Evidence-Backed Roadmaps: Feature requests are directly linked to specific accounts and potential revenue.
3. Transparent Wins: Stakeholders can immediately see how fixes impact key metrics like CSAT and churn.

Skills and hurdles still on the table

Despite significant automation, adoption is not without challenges. Leaders still face data integration hurdles and talent shortages. McKinsey's 2025 State of AI survey forecasts that only 10% of agent interactions will be fully automated by 2026, underscoring a hybrid future where human expertise guides AI-driven recommendations. A key priority is training analysts to interpret model outputs and build compelling product narratives. Furthermore, ensuring data privacy and mitigating bias are critical; teams must consistently audit AI-generated insights, particularly when dealing with multilingual feedback or sensitive topics.

Looking ahead

AI customer intelligence platforms are already proving their ability to distill millions of customer voices into clear, revenue-linked priorities. As this technology matures, the definitive competitive advantage will go to organizations that combine powerful, real-time insights with the operational discipline to act on them, ensuring the right problems are solved before the next development cycle begins.

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What exactly does Enterpret's platform unify and how?

Enterpret unifies customer feedback by connecting to over 50 sources, including support tickets, reviews, social media, and sales calls. Its Adaptive Taxonomy automatically learns your company's unique language to build a five-level classification system, eliminating manual tagging. This creates a Customer Knowledge Graph that connects every piece of feedback to the relevant user, account, and its financial impact.

How did Notion cut insight-report time by 70%?

Notion reduced its user-insight reporting time by 70% by integrating Enterpret's Wisdom AI into its workflow. The team can now ask plain-language questions like, "Which bugs caused the most churn last quarter?" The platform scans millions of feedback records to provide evidence-backed answers instantly, pushing summaries directly to Slack. This transforms a days-long process into hours.

What makes Enterpret different from traditional text-analytics tools?

Enterpret differs from traditional tools in three key ways:

1. Revenue-Centric Metrics: It automatically connects every feedback theme to its impact on revenue, CSAT, and NPS.
2. Proactive AI Agents: An Escalation Agent spots and flags urgent issues 24/7, while a Newsfeed Agent delivers role-based digests to relevant stakeholders.
3. Zero-Setup Taxonomy: The AI model continuously retrains itself as the product and customer vocabulary evolve, preventing the data drift that plagues manual systems.

Which companies besides Notion have live use cases?

In addition to Notion, other major companies leverage Enterpret:

• Canva uses the platform to power company-wide Voice-of-Customer dashboards, aligning teams on top customer pain points.
• Perplexity has deployed an Enterpret AI agent that diagnoses revenue-impacting bugs in minutes, protecting quarterly targets.

What ROI can product teams expect in 2025-2026?

Industry benchmarks suggest a $3.50 return for every $1 invested in AI customer-service platforms, with an average CSAT increase of 12%. Enterpret users report specific gains, including a 27% faster feature prioritization cycle, a 35% lift in satisfaction on resolved issues, and the automation of 80% of routine feedback analysis tasks.