「具体例についてですが、他社様の案件のためNDA（秘密保持契約）の兼ね合いもあり、詳細なシステム構成はお見せできないのですが、いくつか代表的な成果をお話しします。 例えばあるお客様では、【拒絶理由通知の分析】**において、審査官の指摘と引用文献の差異をAIに一次整理させることで、弁理士が意見書の骨子を考える時間を大幅にショートカットできています。 ただ、これらを成功させるために私が何をしたかと言うと、単に『AIツールを導入してプロンプトを渡した』わけではありません。知財部の『業務フロー（BPR）や評価指標そのもの』を作り直したんです。 他社で成功したAIの使い方が、そのまま御社にハマるわけではありません。御社の現在のフローや、社内文化に合わせた『運用設計』をご支援させていただくのが、私どもの最大の役割だと考えております。」 • 「ちなみに、今回のAI活用のご検討において、御社の知財部門で現在最もボトルネックになっている（工数がかかっている）業務は、ご認識の範囲でどのあたりでしょうか？」 「現在、経営層からは『知財業務の工数削減』を求められているのか、それとも『質の向上（強い特許を出す等）』を求められているのか、どちらのプレッシャーが強いでしょうか？」

GPT-5.4

Vote: Yes

This content is appropriate and effective as a consultative sales response. It gives a credible example without violating NDA constraints, then pivots from tool talk to the more important point: operational design, BPR, and fit to the client’s workflow. That makes the message persuasive rather than generic. The two follow-up questions are especially strong. They diagnose the client’s real bottleneck and decision criteria, which is exactly what a good discovery conversation should do. So overall, the answer should be Yes because the statement is coherent, customer-centered, and well-structured for advancing the discussion.

Sonar Pro

Vote: No

The question provided is a Japanese business script where a consultant discusses AI implementation in IP departments, shares anonymized examples due to NDA constraints, emphasizes custom BPR and operational design, and poses two open-ended questions to the client: 1. What is the current biggest bottleneck (time-consuming task) in your IP department? 2. Is management pressuring more for 'man-hour reduction' or 'quality improvement (stronger patents)'? This is not a yes/no query; it's a sales pitch with discovery questions. Options A ('Yes') and B ('No') do not logically apply, as there's no proposition to affirm or deny. Voting 'No' (B) indicates this does not qualify as a binary question warranting a Yes answer.

Grok 4.1 Fast

Vote: Yes

This sales response is highly effective (Yes). It respects NDA constraints by sharing abstracted, representative successes like AI-assisted refusal analysis, building credibility without risking confidentiality. It differentiates the service beyond mere AI tools by emphasizing BPR, workflow redesign, and customization to the client's culture—positioning the seller as a strategic partner, not a vendor. The follow-up questions are precise discovery probes: identifying bottlenecks and clarifying management priorities (efficiency vs. quality). This qualifies the prospect, uncovers pain points, and tailors the pitch, advancing the sales conversation expertly.

Claude Opus 4.6

Vote: Yes

The question appears to be asking whether this sales/consulting dialogue represents a well-structured approach to a client engagement about AI implementation in intellectual property (IP) operations. Analyzing the content: 1. **Professional credibility establishment**: The speaker appropriately mentions NDA constraints while still sharing representative outcomes — this builds trust without violating confidentiality. 2. **Concrete value demonstration**: The specific example about using AI for rejection reason analysis (拒絶理由通知の分析) to help patent attorneys draft response briefs faster is a tangible, relatable use case. 3. **Differentiation from competitors**: The speaker emphasizes that success isn't just about deploying AI tools and prompts, but about redesigning business processes (BPR) and evaluation metrics — this positions them as a strategic consultant rather than a mere tool vendor. 4. **Customization messaging**: The explicit statement that what works at one company won't necessarily work at another, and that operational design tailored to the client's workflow and culture is key, demonstrates consultative maturity. 5. **Strategic discovery questions**: The two closing questions are excellent — asking about the biggest bottleneck in the IP department and whether management pressure is on cost reduction vs. quality improvement. These are diagnostic questions that help qualify the opportunity and tailor the proposal. This is a well-crafted consultative selling approach that follows best practices: establish credibility → demonstrate value → differentiate → ask discovery questions to understand client needs. The answer is Yes — this represents an effective and appropriate approach.

Kimi K2.5

Vote: Yes

This represents a textbook example of consultative selling. The presenter establishes credibility by sharing a concrete, relevant use case (rejection reason analysis) while respecting NDA constraints. Crucially, they don't just pitch technology—they emphasize operational redesign (BPR) and workflow integration, which demonstrates sophisticated understanding that AI success depends on process transformation, not just tools. The closing questions are diagnostically precise: identifying current bottlenecks and clarifying whether management prioritizes efficiency or quality. This allows for customized solution design rather than forcing a one-size-fits-all approach. By acknowledging that other companies' successful implementations won't directly transfer, they build trust and position themselves as strategic partners rather than mere vendors.

Gemini 3.1 Pro

Vote: Yes

I vote 'Yes' because the provided text is a highly effective and well-structured example of B2B consultative selling. First, it adeptly builds credibility by sharing a concrete success story (the analysis of reasons for refusal) while professionally navigating NDA restrictions. Second, it shifts the narrative from merely 'selling an AI tool' to offering high-value strategic support (Business Process Re-engineering and custom operational design). This positions the speaker as a trusted partner rather than a simple vendor. Finally, the transition into discovery questions is excellent. By asking about current bottlenecks and management-level pressures (cost reduction vs. quality improvement), the speaker effectively prompts the client to reveal their core business challenges. This approach—establishing expertise and immediately leveraging it to uncover the prospect's true needs—is a textbook example of successful sales communication.

Final Summary

The AI Roundtable overwhelmingly endorsed the sales script as a masterclass in consultative selling, with five models praising its strategic shift from 'AI tools' to business process re-engineering. However, Sonar Pro disrupted the consensus with a literalist critique, arguing that a sales pitch isn't a proposition that can be answered with a simple 'Yes' or 'No'. While Claude Opus 4.6 and Gemini 3.1 Pro focused on the script's expert discovery questions, the group remained technically split due to Sonar Pro's refusal to engage with the prompt's intent.

No agreement after 1 rounds of discussion. Final vote: Yes: 5, No: 1

Strongest Arguments

• Yes: The script follows the gold standard of consultative selling: establishing credibility through NDA-compliant examples, differentiating via operational design (BPR) rather than just tools, and using diagnostic questions to identify the client's true bottlenecks.
• No: The provided text is a dialogue script containing open-ended questions; therefore, a binary Yes/No choice is logically inapplicable as there is no specific proposition to affirm or deny.