--- title: "Trust and AI in CRM: The Industry Is Doing the Math. | snapAddy" url: https://snapaddy.com/fr/resources/blog/trust-and-ai-in-crm lang: fr description: "AI in CRM: trust is the real bottleneck. Jochen Seelig shows why in his keynote from CRM Experience 2026. Watch the video now." keywords: [trust, industry, doing, math, short] category: blog last_modified: 2026-09-10T12:04:53.200Z --- # Trust and AI in CRM: The Industry Is Doing the Math. [Retour au Content Hub](https://snapaddy.com/fr/resources/blog.md)[Carla Diener](https://snapaddy.com/fr/authors/carla-diener.md) le 10 septembre 2026 Trust in AI in CRM Trust is hard to negotiate, but it can be measured fairly precisely. For the CRM Future Study 2026, snapAddy surveyed roughly 200 professionals from the user, consulting and vendor sides of the market, and the result turns the usual order of a software decision upside down. Price, normally the first objection, comes last when the subject is AI in CRM. Only 20 percent name implementation costs as a concern. When people stop judging a technology by its price, something else is bothering them. snapAddy CEO Jochen Seelig recently picked up that pattern at CRM Experience 2026 and named the real bottleneck: trust, not budget. This article follows the question underneath it. Why does the industry hand AI some jobs right away and hardly trust it with others? ## The short version: - A lack of trust slows AI in CRM, not the price. Only 20 percent of the roughly 200 respondents name implementation costs as a concern. - Trust grows wherever a result can be checked right away. Data maintenance makes the point (63 percent want more AI there, 34 percent use it), and so does forecasting, which hardly anyone uses (18 percent want it, 7 percent use it). - The full **CRM Experience 2026 keynote** is in the video below, with all the figures and six scenarios for the future. ## It's a lack of trust that slows down AI in CRM, not a lack of budget. Asked what worries them about artificial intelligence in CRM, respondents put quality and reliability first, at 69 percent. Data protection and data security follow at 50 percent, employee acceptance at 37 percent. Costs close the list at 20 percent. Many of these points circle the same question: **Can I trust the result, and do I keep access to it?** ## Where the industry already trusts AI, and where it doesn't. How far that trust goes shows up in behavior, not just in survey answers about worries: which areas of CRM the industry already hands over to AI today, and which it does not. Trust goes where a result can be checked quickly. Meeting summaries are already part of the working day for 57 percent. In data maintenance and enrichment, 63 percent want more support from AI while only 34 percent actually use it, **a gap of 29 percentage points and the widest in the whole field.** Trust stops where a result can only be verified much later, or where the AI decides on its own instead of making a suggestion. Forecasting barely gets past 7 percent in use, and even the appetite for it stays muted at 18 percent. A forecast can only be judged at the end of the quarter, long after the decision that rested on it was made. Autonomous agents that act on their own inside a CRM are stuck at 21 percent in use against 48 percent who want them, the second widest gap in the field after data maintenance. ## Trust is a calculation, not an attitude. The willingness to hand something to AI **is greatest where the result can be checked**. An enriched address is verified in ten seconds. A forecast can only be checked at the end of the quarter, and by then the decision that rested on it is long behind you. That is what decides how much responsibility AI agents are allowed to take on in CRM. So anyone bringing AI into their CRM is working on a different problem than the product debate suggests: **not the model, but whether what it delivers can be verified**. That is where tools like snapAddy DataAgents come in, logging every automatic change so it can be traced. Want to know how wide the gap between what teams want and what they actually use is for data maintenance in your own CRM? Tools like snapAddy DataAgents take care of that maintenance automatically in the background. ## Watch the full keynote. This article picks out one section of the study. **The video shows the complete keynote from CRM Experience 2026**, with all the findings of the CRM Future Study 2026. ## FAQ What are the biggest concerns about using AI in CRM? The quality and reliability of the AI, named by 69 percent of respondents. Data protection and data security follow at 50 percent, then employee acceptance at 37 percent, loss of control over processes at 33 percent and dependence on AI vendors at 30 percent. Implementation costs come last, at 20 percent. Four of the six concerns are therefore questions of trust and control, not budget questions. You can read all the findings in the [CRM Future Study 2026](https://snapaddy.com/en/resources/blog/crm-survey-download.md). Which areas of CRM benefit most from AI today? 63 percent name data maintenance and enrichment as the most valuable area. AI is in use there at 34 percent. The gap of 29 percentage points is the widest in the whole field. Autonomous agents follow (21 percent in use, 48 percent wanted), then lead scoring (28 percent in use, 42 percent wanted) and next best action (22 percent in use, 33 percent wanted). The most widespread use of AI in sales today is meeting summaries, at 57 percent. You can read all the findings in the [CRM Future Study 2026](https://snapaddy.com/en/resources/blog/crm-survey-download.md). What should I keep in mind when using AI in CRM? Start by asking whether the AI's output can be verified in day-to-day work. According to the study, that is what decides how far teams actually follow it: an enriched address is verified in seconds, so people hand that task over readily, while a forecast can only be checked at the end of the quarter. Decide up front which source may overwrite which field, what runs through automatically, and which cases go to a person for review.