AI Powered CRM - Get Insights Your CRM Alone Can't Show
Your CRM only knows what a rep had time to type in.
TRUSTED BY 100,000+ Sellers AT TOP ORGANIZATIONS
4.5/5 (630 Reviews) on G2A CRM built on partial data gives partial answers.
Every deal review starts from the same weak foundation: whatever a rep had time to log. The gap between what happened and what's in Salesforce isn't a data hygiene problem.
It's the whole system working from the wrong picture.
The forecast is built on a fraction of the story
Your rep says the deal is progressing. Backstory shows the only person they've contacted in 30 days is the one who never buys.
That's a coaching conversation, if you can see it.
Stakeholders disappear the moment nobody adds them
The person cc'd twice, the one who joined a single call and never came back.
If a rep didn't think to add them, they don't exist in your system, even though they touched the deal.
Cleanup sprints treat the symptom, not the cause
A quarterly hygiene push gets the data looking good for two weeks, then it drifts right back. The problem was never rep effort.
It was that the system depended on it in the first place.
See the full picture before the quarter gets away from you.
- See total pipeline coverage by rep, segment, and stage - know where you're thin before it shows up in the forecast.
- Know which reps are carrying the most risk and where coverage needs to be built right now.
- "Where do I focus my team?" Prioritize based on what's actually happening in each deal.
Every email and meeting gets logged without a rep opening a form. Every stakeholder who touched the deal shows up, whether a rep remembered them or not.
Activity and CRM data get read together instead of separately, so the picture reflects what happened, not what got typed in.
An AI label doesn't fix a data problem
A lot of tools call themselves an AI powered CRM because they added a chat window on top of the same rep-entered fields. That's not a new capability.
It's a faster way to summarize a gap that was already there.
- Chat interfaces answer faster, but only from the same incomplete records
- Any tool that still needs a rep to manually enter activity isn't CRM automation
- The fix has to happen upstream, before the AI ever reasons over the data
- Capture activity automatically first, and there's something real to reason over
Questions to ask before you buy one
Ask these before signing anything, and don't accept a vague answer on the first one.
- Is activity captured automatically, or does a rep still have to log it?
- Does it show every stakeholder touched, including the ones never added to Salesforce?
- Does it answer questions in the tools the team already uses?
- Is it reasoning across CRM and conversation data together, or just one?
- Does it work without depending on rep behavior changing?
What changes when your team has the answers.
Every customer-facing activity happening in our sales org is captured in Salesforce, the contact is created, and it gets associated with the right opportunity - with no extra effort from our sales team.

FAQ
Common questions.
Do reps have to change how they log activity?
No. Capture happens automatically from the tools your team already uses. Reps don't log anything differently.
Does it replace Salesforce?
No. It sits on top of your existing CRM and fills in what manual entry misses. Salesforce stays the system of record.
How long does implementation take?
Most teams are live within a few weeks, since there's no rep workflow change required to start capturing data.
Does this work with our existing sales methodology?
Yes. It's configurable to your CRM setup and process, so the automation reflects how your team already sells.
What's the actual ROI case for something like this?
Time saved on manual entry, deals caught earlier because of full visibility, and fewer decisions made on incomplete data. Customers typically see returns from both sides.
See what your CRM
is actually missing.
Backstory captures the activity your CRM never sees, and reasons across it to answer the questions your data alone can't.
