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---
description: How Capitole Lab’s sales assistant connects digital account preparation with discovery, proposals and purchasing technology services.
title: Capitole: AI for a more precise sales proposal
image: https://elacelerador.es/images/social/v1/capitole-ai-meeting-preparation-needs-produce-more-precise-proposal-6cfe5c3a22ed3f0a804ea4089a394047.jpg
---

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# Capitole: AI meeting preparation needs to produce a more precise proposal

Capitole Lab describes an assistant supporting sales teams before client conversations. Economic usefulness appears when preparation makes an engagement and its scope more…

By [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/) 13 October 2026 at 08:58 CEST 4 min read [ Add as preferred source ](https://www.google.com/preferences/source?q=elacelerador.es&utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) 

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![Two women discuss sticky notes on a whiteboard.](https://elacelerador.es/images/variants/v1/capitole-ai-meeting-preparation-needs-produce-more-precise-proposal-two-women-discuss-w1280.webp) 

 Discussion beside a work whiteboard, photographed by WOCinTech Chat in 2016\. Context photograph of project preparation; it does not show Capitole. Framing adapted. Photo: [WOCinTech Chat · CC BY 2.0](https://commons.wikimedia.org/wiki/File:Wocintech%5Fstock%5F-%5F43%5F%2825798171075%29.jpg?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) 

**In this report** 

1. [Prior information needs to become a useful question](#article-section-prior-information-needs-to-become-a-useful-question)
2. [The next document shows what the assistant produced](#article-section-the-next-document-shows-what-the-assistant-produced)

2 figures 
* [Productivity and code are different AI uses](#article-figure-1)
* [Proposals are also evaluated outside the user team](#article-figure-2)

[Download data (CSV)](https://elacelerador.es/en/download.csv?article=%2Fen%2Fcases-and-research%2Fcapitole-ai-meeting-customer-proposal%2F) 

Chart values, table cells, source references and the report revision date.

Capitole uses an AI assistant to help its sales team prepare client meetings. R&D engineer Emelian Gurei describes it in Capitole Lab’s public presentation . The application raises a concrete commercial question: what changes in the proposal the buyer receives because of that preparation. 

The lab combines software, AI and product-design work. Sales assistance supplies a use close to its own consulting business: organising information before a conversation in which the customer must still specify what it needs and which outcome it can purchase. 

Task assistance has a documented context in Spain. Among 100 IT and line-of-business leaders surveyed by Deloitte July–September 2024, 60% cited productivity applications and 31% code generation, according to Statista. These are different uses within a leadership sample; their presence does not measure proposal quality or the profitability of Capitole’s assistant. 

The data behind the story 

### Productivity and code are different AI uses

Use cases cited by 100 surveyed IT and line-of-business leaders in Spain, 2024.

 Respondents 

Tap or hover for details. All values are also available in the data table.

Expand notesCollapse notes 

**Sources:** Statista; Original source

Deloitte: online survey July–September 2024, n=100 in Spain, within a global sample of 2,773 senior leaders. Participating organizations already used AI daily and had a generative AI pilot or a daily implementation. Uses overlap; they do not represent all Spanish companies or measure commercial outcomes.

Explore the data table 

Scroll left or right to see all columns 

__Productivity and code are different AI uses (%)__
| Category                   | Respondents |
| -------------------------- | ----------- |
| Public language models     | 62%         |
| Productivity               | 60%         |
| Generative AI applications | 56%         |
| Enterprise platforms       | 49%         |
| Code generation            | 31%         |

## Prior information needs to become a useful question 

Meeting preparation can include understanding a customer’s activities and distinguishing confirmed facts from questions still to ask. A tool can gather information quickly. The account owner retains the work of deciding what matters and which assumption requires the buyer’s confirmation. 

The distinction matters in custom services. Capitole publishes a financial-services offering  combining software development, data and security. Those are different capabilities. A conversation identifying the specific need can establish what is being contracted, which team participates and which responsibilities remain with the customer. 

Preparation adds value when the first meeting moves beyond a generic presentation of every capability. The buyer needs to locate its decision: which task needs resolving, which dependency exists and which delivery it can accept. Prior information helps formulate that question; it does not justify attributing unconfirmed problems to the client. 

## The next document shows what the assistant produced 

The closest commercial indicator is the subsequent proposal’s quality. A specific scope allows pricing and responsibilities to be discussed around the same subject. A proposal retaining essential unknowns can require more meetings and revisions even when initial preparation finished sooner. 

The public assistant description does not publish a measured sales-cycle reduction or win rate. There is no need to turn the engineer’s statement into a financial result. Usefulness can be examined in the work that follows: questions resolved, requirements confirmed and an engagement both parties understand. 

Precision has an additional audience: people approving a purchase without directly using the product. In Edelman and LinkedIn’s US study, 85% of that subgroup rated understanding business needs important and 68% strategic fit. For Capitole, the document following a meeting needs to help these stakeholders understand what will be delivered and why it merits the expense. 

The data behind the story 

### Proposals are also evaluated outside the user team

Stated importance when selecting a vendor in an RFP, United States, 2025.

 Very or moderately important 

Tap or hover for details. All values are also available in the data table.

Expand notesCollapse notes 

**Sources:** Statista; Original source

Edelman and LinkedIn surveyed 1,934 executives March 17–April 3, 2025\. This chart covers the subgroup of internal decision-makers involved in buying without being expert users of the product; its size is not separately reported. Importance ratings, not contract win rates.

Explore the data table 

Scroll left or right to see all columns 

__Proposals are also evaluated outside the user team (%)__
| Category                  | Very or moderately important |
| ------------------------- | ---------------------------- |
| Understand business needs | 85%                          |
| Understand industry       | 76%                          |
| Relevant expertise        | 74%                          |
| Strategic fit             | 68%                          |
| Cultural fit              | 56%                          |
| Safest choice             | 41%                          |

Capitole belongs to Smart4 Engineering . An offering accessing several capabilities becomes stronger when sales preparation establishes which ones a particular account needs. A broad catalogue adds options; the conversation must select the work justifying their purchase. 

The assistant’s commercial contribution is decided in that transition. Gathering more information can increase activity; a more precise proposal brings a buying decision closer. For Capitole, useful evidence arrives when customers recognise their need, accept the scope and understand the service they will receive for the discussed price. 

[Back to top ↑](#article-top) 

## In this article

### Sources and documents

* [Capitole Lab: R&D team and sales-assistant use](https://www.capitole-consulting.com/capitole-lab/?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) · www.capitole-consulting.com
* [Capitole: financial services technology offer](https://www.capitole-consulting.com/industries/financial-services/?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) · www.capitole-consulting.com
* [Capitole: corporate identity and Smart4 federation](https://www.capitole-consulting.com/about-us/?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) · www.capitole-consulting.com
* Statista
* [Original methodology and data: Deloitte / Statista](https://www.deloitte.com/es/es/services/consulting/research/estado-ia-generativa-empresas-espana.html?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) · Deloitte / Statista
* [Original methodology and data: Edelman / LinkedIn / Statista](https://www.edelman.com/sites/g/files/aatuss191/files/2025-07/2025%20Edelman-LinkedIn%20B2B%20Thought%20Leadership%20Impact%20Report%5FFINAL.pdf?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) · Edelman / LinkedIn / Statista

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About the author

## [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/)

Marian Vasile is a MarTech and growth professional. His work spans product marketing, SEO, paid advertising and deep online tracking, including behavioral analytics and attribution.

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**In this report** 

1. [Prior information needs to become a useful question](#article-section-prior-information-needs-to-become-a-useful-question)
2. [The next document shows what the assistant produced](#article-section-the-next-document-shows-what-the-assistant-produced)

[Download data (CSV)](https://elacelerador.es/en/download.csv?article=%2Fen%2Fcases-and-research%2Fcapitole-ai-meeting-customer-proposal%2F) [Back to top ↑](#article-top) 

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