Flat pipeline, active AI licences
Your pipeline has stopped growing. Leadership asks what AI is contributing. An assistant is drafting emails somewhere in the stack, and the forecast still leans on instinct.
The gap between buying AI and earning from it is measurable. In a November 2025 survey of 247 sales and marketing leaders, 91% said they use AI regularly, yet only 38% use it inside their CRM to any degree and just 17% use more than two features. Most teams buy the licence first and pick the workflow later.
Where revenue use cases are moving
Enterprise AI is moving toward revenue work. ISG analysed 1,200 use cases representing $2.6 billion in AI spending and found the leading 2025 themes in CRM automation, sales enablement, forecasting and lead capture, a shift from 2024.
Sales teams are specific about what works. In monday.com’s sales technology research, more than 80% of respondents say AI acts as a productivity booster and makes them more efficient. Sales forecasting is the most common application at 25%, ahead of personalized outreach, sales analytics and lead scoring at 19% each.
A use case decision table for Monday
Pick one row. Running five at once is how pilots stall.
| Symptom | Use case to start with | Measure after 30 days |
|---|---|---|
| Forecast misses the number | Forecasting support | Accuracy against last quarter’s recall |
| Reps chase low fit leads | Lead scoring | Meetings booked from the top decile |
| Quotes and orders drag | Agent support for quotes, order fulfilment and usage tracking | Days from interest to signed quote |
| Call insight stays in the call | Conversation intelligence | Win rate on deals with logged conversations |
Agent work is already in production. Nine in 10 sales teams use AI agents today or expect to within two years, with 54% using them now. Fulfilling orders, tracking product usage and creating quotes lead the list of uses.
Steps that make it stick
- Attach a number before you build. 53% of sales professionals say increasing sales efficiency will have the biggest impact on revenue in the year ahead. That is a direction, not a target. Convert it into one metric.
- Check the fields the use case reads. In Validity’s survey of 602 CRM users, 76% say less than half of their CRM data is accurate and complete, and 45% say their data is not prepared for AI. Fix the three fields that feed the workflow first.
- Ship it to one team for one quarter. Depth matters. Workbooks found that people using more than half of the listed features rate impact at 2.6 out of 3, while single feature users rate it 1.9.
- Bring the proof to the sceptics. Helping prove ROI was the most requested vendor feature, selected by 36% of respondents in the same survey. A before and after number settles the argument faster than a demo.
Where this breaks
Bad data ends these projects quietly. Validity reports that 37% of organizations lose revenue as a direct result of data quality, and 1 in 4 companies experience a 20% or greater drop in annual revenue. Scoring or forecasting on records nobody trusts produces noise.
Results also lag ambition. ISG reports that only about one in four AI initiatives meets expectations for revenue impact, even as the number of use cases in production doubled since 2024.
Expertise is the other wall. Lack of internal expertise was the main barrier for 49% of respondents who succeeded with AI in CRM, per Workbooks. Expectation gaps split teams too, with 59% of marketers calling AI a key driver of revenue growth against 36% of sales professionals. Budgets are thin as well, since 58% of GTM leaders allocate less than 5% of their budget to AI.
If growth is still flat
If your CRM holds the data, the features are switched on and revenue has not followed, we can help. Data Innovation is a Barcelona consultancy with more than 20 years in CRM and data, around 1B emails a month through our deliverability stack, and a EUR 5M deliverability recovery for a global FMCG client. We build and operate intelligent systems and judge them by the numbers they move. For the pattern behind stalled pilots, read why AI CRM insights produce zero revenue growth.