Product Managers are currently navigating an AI paradox. While 65 to 72% of companies now use generative AI in at least one function according to McKinsey, the value is not distributed equally. Marketing and Sales teams have achieved high maturity, capturing up to 20 to 31% of realized AI value according to BCG. Product development sits at roughly 13%.
This gap exists because Marketing has industrialized workflows, while Product Managers are still navigating fragmented data across Gong, Salesforce, and Jira. This disconnection leads to “Alignment Exhaustion Syndrome,” where teams waste cycles debating opinions because the evidence is too hard to find.
Ask Bagel AI is a conversational agent built to bridge this divide. It operates specifically at the idea level, helping you turn scattered customer signals into defensible decisions with minimum effort.
Moving Beyond Production to Intelligence
According to Lenny’s Newsletter, 63% of PMs save at least four hours per week using AI, but most of that time is spent on “last mile” production tasks like writing PRDs or cleaning up notes. There is a 27.2 percentage point demand gap for AI that helps with the messy work of user research.
Bagel AI helps you close this gap. It allows you to query your unified product data using natural language. Here are three practical questions you can ask right now to validate your product ideas.
1. “Who is asking for this and what is the revenue at stake?”
Alignment fails when teams lack a shared view of impact. Sales may push a feature as a deal breaker, but without Product Intelligence, you cannot verify if that request is a market trend or a single voice.
By asking Bagel AI Agent this question, you get a breakdown of the ARR and pipeline value currently tied to a specific concept. This moves the discussion from subjective feelings to objective, quantified revenue impact.
- Result: You see the specific renewal risk or expansion potential, giving you the numbers needed to align GTM teams.
2. “Show me the strongest evidence for this specific pain point.”
The most time consuming part of discovery is finding the “why” buried in raw data. PMs often spend hours tagging feedback to find patterns. Lenny’s survey found that PMs see a huge opportunity here, with only 4.7% using AI for research today despite high demand.
Ask Bagel AI identifies emerging themes across Gong calls, support tickets, and CRM notes. You get deep, business-ready evidence in seconds. This allows you to define requirements based on actual customer pain rather than generic summaries.
- Result: A clear list of validated customer signals that prove the need for the feature.
3. “Which accounts care most about this idea for my next meeting?”
Joining a high-stakes customer call with limited context is a massive risk. Lenny’s Newsletter found that 92.4% of tech workers report downsides to AI, with hallucinations and generic outputs being the top complaints. For a PM, generic information is a liability.
Because Ask Bagel AI is grounded in your proprietary data, it provides a 360 degree account view specifically related to your ideas. You enter the meeting knowing exactly what the customer has asked for and where that idea stands on your roadmap.
- Result: You walk into the meeting with full context, avoiding surprises and building trust.
Manual Research vs. Ask Bagel AI
| Activity | Traditional Manual Method | With Ask Bagel AI |
| Validating an Idea | Hours searching through Gong and Jira. | Instant answers using natural language. |
| Justifying Priority | Subjective debates and opinions. | Objective links to ARR and pipeline value. |
| Meeting Prep | Reading weeks of scattered notes. | A clear, account-specific summary. |
| Finding Patterns | Manual tagging and triaging. | Automated trend detection across all tools. |
TL;DR FAQ
No. Generic tools use the open internet. Ask Bagel AI works only on your company’s proprietary data, which means the answers are context aware and accurate.
Ask Bagel AI is currently optimized for idea level validation. It is designed to help you decide what should move into your discovery backlog by providing quantified evidence.
No manual taxonomy or setup is required. Bagel learns your unique business language automatically, so you can start asking questions with minimum effort.
Velocity with Confidence
Product decisions carry weight. They affect your roadmap, your pipeline, and your retention. Lenny’s Newsletter found that 55% of respondents say AI has exceeded their expectations. Stop wasting cycles on manual interpretation. Use Bagel AI to reach the right decision quickly.
Book a Demo to see how Bagel AI brings real-time product intelligence to every decision.
