Revenue teams are being offered AI from every direction. Broadly, there are three approaches. Each has real strengths, and the right mix depends on your team.
Product examples reflect public information as of October 2026 and may have changed. Check vendors directly.
The three approaches
1. CRM-native agents
These are agents built into your CRM platform, such as those offered by Salesforce and HubSpot. They sit next to your data and permissions.
- Strengths: close to the data, consistent security model, one vendor
- Limits: tied to one platform, and often more general than a specialist tool
2. Point tools
Specialist products for one job, such as planning, forecasting, conversation analysis or data enrichment. Examples include CaptivateIQ for planning and Clay for enrichment.
- Strengths: depth in a single workflow
- Limits: separate data and logins, more integrations to maintain, and tool sprawl as you add jobs
3. A cross-job AI partner
One assistant that works across several RevOps jobs and systems, from account building to forecasting to win/loss.
- Strengths: shared context across jobs, one place to ask, fewer tools
- Limits: newer, and it must prove depth in each job
How they compare
| CRM-native agents | Point tools | AI partner | |
|---|---|---|---|
| Scope | Inside one CRM | One job each | Several jobs across systems |
| Data context | CRM data | Mostly its own and imported data | Shared across jobs |
| Setup | Within the platform | One setup per tool | One connection layer |
| Risk | Platform lock-in | Tool sprawl | Depth per job |
Questions that matter in any evaluation
- Does every output cite its source? A brief or update should link to the call, email or field it came from.
- Does anything write to the CRM without approval? Look for approval before write-back, at least at first.
- Which systems does it read? CRM, calls, email, calendar, billing and support data all affect answers.
- Can you see what it did? An audit log matters when numbers are questioned.
- How is it priced as you grow? Seats, usage and outcomes can differ a lot.
How to run a fair test
- Pick a real weekly task, such as preparing for the forecast call.
- Give each option the same deals.
- Compare outputs for accuracy, sources and time saved.
- Check what each option wanted to change in the CRM and whether you could approve it.
Where Prady fits
Prady is your AI RevOps partner, currently in development with ten design partners. It is being built to cover account building, territory planning, pipeline inspection, deal updates, deal briefs, forecasting, 1:1 briefs, win/loss analysis and product feedback, with sources on every output and approval before write-back. Apply to be a design partner. Read about pipeline inspection and deal updates or see the pipeline inspection checklist.
Frequently asked questions
Do I have to choose just one approach?
No. Many teams use their CRM’s built-in agents for simple tasks and add specialist tools or an AI partner for specific jobs. The key is to avoid duplicated data and unclear ownership.
What should I test during a trial?
Run a real weekly task end to end, such as pipeline inspection before a forecast call. Check whether outputs cite their sources and whether CRM changes wait for approval.
Is the market settled?
No. The landscape is changing quickly, so check current offerings before you decide.