Your sales team struggles to sell.
Not because they're bad at it. Because they're drowning in CRM updates, call logging, account research, and hunting for context across five different tools.
According to Bain & Company, B2B sellers spend just 25% of their time actually selling. The other 75%: Admin work. Manual data entry. Trying to remember what was said on that call three weeks ago. And only 30% hit quota last year.
Meanwhile, your competitors who've figured out how to give reps that time back? They're showing up to calls better prepared, following up faster, and closing deals your team is still researching.
AI was supposed to fix this. Most tools didn't.
They search for documents. Some summarize calls (which is nice, we guess). But they can't connect the opportunity record to the email thread to the call transcript to the competitive intel doc. And they definitely can't update your CRM or draft the follow-up that can actually be sent.
Your reps still do that manually. Every. Single. Time.
Computer is different.
Computer for sales teams is your AI teammate built to answer, reason, and act across all your sales data. It doesn't just sit on top of your stack like some kind of fancy search bar. It connects directly to Salesforce, HubSpot, Gmail, Slack, Gong, and Google Drive, then unifies everything into Computer Memory (our patented knowledge graph that your reps can actually talk to).
Then it does the work: logging calls, updating deal stages, drafting outreach, and surfacing the context your reps need before every meeting.
Your reps stop dreading CRM updates. And start showing up to calls actually prepared.
Complete context (not just document scraps)
Most AI tools only search documents. But here's the thing: the context your reps need lives in two very different places.
Unstructured data: emails, call summaries, Slack threads, that one brilliant note someone left in Google Docs six months ago.
Structured data: CRM records, opportunity stages, pipeline metrics, the stuff that lives in actual database fields.
Computer Memory runs both retrieval methods together on every query (this is genuinely, seriously, how-did-they-do-that hard to build). Structured data from your CRM gets queried through Text-to-SQL. Unstructured data from docs and transcripts gets searched through vector embeddings. And if that language is unfamiliar, no problem: it just means Computer pulls from everywhere at once, so you get complete answers, not partial ones.
That's the difference between:
- Option 1: "Here's a doc that mentions the account" (thanks for nothing)
- Option 2: "This deal is in Stage 3, the champion went dark two weeks ago, here's the last call summary, and similar deals closed after we re-engaged the economic buyer. Want me to draft that outreach?"
Unlike those other tools that either struggle with structured data or give you summaries without action, Computer connects everything. Then gives answers, insights, and actions.
Action across your entire tech stack (not just suggestions)
Computer doesn't just retrieve information and politely suggest what you might want to do next.
It writes back.
Through CRUD access to your work apps (sorry, read-only AI tools), Computer updates CRM fields, logs activities, creates follow-up tasks, and routes approvals. Actions flow bidirectionally (which we also patented), keeping Salesforce, HubSpot, and everything else in sync without manual intervention.
For unstructured data, Computer drafts follow-up emails based on call context, generates account briefs from scattered docs, and surfaces relevant collateral matched to deal stage.
One interface. Both answers and actions.
Built for your sales motion, not someone else's
Every sales motion is different. Computer adapts through no-code, low-code, and high-code automations with object, stage, and field-level customization that mirrors your exact process.
But here's where most AI tools fail: customization without visibility is just a black box that does mysterious things until it breaks.
Computer provides full agent observability. Session traces. Performance metrics. Automation success rates. Failure point identification. You see exactly what the agent did, why it made each decision, and where it needs tuning.
Continuous improvement through agent analytics means your automations get sharper over time, not stale.
Results you can measure (not just pilot promises)
A global retail company deployed Computer for sales teams and saw:
- 6 hours saved per rep, every week
- 30% productivity boost
- €1.2M in annual organizational savings
Information was scattered everywhere. Now, our sales team finds customer context in seconds, which has freed up to 30% of their time for actual selling.
Not "we think this might help." Actual results. Actual time back. Actual revenue impact.
If this sounds like your team
Your reps spend more time researching than selling. Pipeline reviews rely on gut feel instead of complete context. Every handoff from SDR to AE to SE loses information. And you're heading into a new quarter knowing the same problems will repeat (because they always do).
Computer can change that.
Unlike AI tools that fade after the pilot, Computer connects to your apps and gets smarter as your team uses it. Because it's learning from your actual deals, your actual motions, your actual wins.
Watch Computer in action. Or talk to our team to see it running against your actual CRM data.
Your team is ready to sell.
Computer is ready to help.
Let's do this, together.
