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Sales

The AI Workspace for Sales Teams

Connect CRM, calls, emails and pipeline data into live Spaces for shared sales decisions.

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Cut pipeline reviews 50%Faster deal reviews & forecastingShared view of revenue health

Sales has data everywhere, but no shared picture

  • Pipeline scattered across CRM, calls, emails, and spreadsheets
  • Reps repeat questions in Slack: "Where's my deal at?"
  • Forecast calls waste time on manual updates
  • No single view of win rates, velocity, or rep performance

Use Cases

Sales use cases on LamLam

Real questions your team asks every day — answered instantly and saved as live Spaces.

Use Case 1

Pipeline health

Ask LamLam

"What's blocking deals in my pipeline?"

Deals stall and nobody notices until the quarter is over. LamLam connects your CRM and activity data so you see pipeline risks the moment they appear.

What you get

  • Stage velocity and conversion by segment
  • Aging deals flagged with days stuck
  • Win probability shifts over time
  • Saved as a live Space your whole team sees
"What's blocking deals in my pipeline?"
Found 2 available connectors
SalesforceSalesforceGongGong

Thought for a few seconds

Let me pull pipeline data from Salesforce — deal stages, ages, and activity logs — and cross-reference with Gong call data to find where deals are stalling and why.

Scanning pipeline deals…

14 deals are stuck in "Negotiation" for 20+ days — $1.8M at risk. Deals without a champion contact have a 72% lower close rate. 3 deals have zero activity in the last 2 weeks.

At-risk deals
14
$1.8M
Avg stage age
22d
+8d
No activity
3
2 wks
Used 2 sources
SalesforceSalesforceGongGong
Use Case 2

Rep performance

Ask LamLam

"Which reps are trending down this quarter?"

Waiting for end-of-quarter numbers means it's too late to course-correct. LamLam gives managers a rolling view of rep health so coaching happens in time.

What you get

  • Activity volume and response times
  • Conversion rates by stage and rep
  • Pipeline coverage vs. quota
  • Trend lines that surface dips early
Live Metrics

3 of 12 reps are below 60% quota pace. They share a pattern: low call volume (avg 8/wk vs. team 18/wk) and 40% fewer follow-up emails after demos.

On pace
0 / 12
75%
Avg coverage
0x
+0.4x
Calls/wk
0
team avg
Win rate
0%
-3pp
Use Case 3

Forecast accuracy

Ask LamLam

"How accurate was last quarter's forecast?"

Every forecast call is a debate between gut feel and spreadsheets. LamLam replaces both with a data-backed view leadership can trust.

What you get

  • Committed vs. actual close analysis
  • Pipeline generation accuracy over time
  • Category-level forecast breakdown
  • Historical trends for better future calls
Forecast Review
Live · 2 collaborators

Q4 forecast accuracy was 84% — best in 4 quarters. "Commit" category was 96% accurate, but "Best Case" only hit 52%. Upside deals converted at just 18%.

Metric
Value
Bar
Commit
96% acc.
Best case
52% acc.
Pipeline
38% acc.
Upside
18% acc.
Rachel (VP Sales)
@Mike let's tighten the "Best Case" criteria — 52% accuracy isn't reliable enough for board reporting.

Why sales teams choose LamLam

Collaboration-first

Spaces keep pipeline and decisions together, no more screenshot ping-pong.

Your tools, no rip-and-replace

Salesforce, Gong, Outreach, HubSpot, connect in clicks, not sprints.

Always-live data

Pipeline updates automatically. No manual refreshes, no stale reports.

Reps + leaders

Execs see forecast health, reps get the deal context they need.

See your sales pipeline in a live Space

Share your CRM and call data, we'll build your first Sales Space live in 15 minutes.