Lio AI Assistant
LIO for Sales Managers & Leaders

A forecast you can actuallydefend in the boardroom.

Stop building forecasts in spreadsheets the night before the QBR. LIO uses signing probability per lead to predict your number and tells you exactly which deals to lean into, which reps to coach, and where pipeline is leaking.

Team forecast

Commit
$420k
Best case
$610k
At risk
$88k
Quota
$500k
Days left
12
JS

Jess Singh

$148k commit · 132% to quota

92
MC

Marcus Chen

$96k commit · 88% to quota

74
RP

Riya Patel

$54k commit · 49% to quota

41
TL

Tom Larsen

$122k commit · 110% to quota

86

Sales leaders running tight pipes from 5-person teams to 50-rep orgs.

0%Forecast accuracy
0.0×Faster pipeline reviews
0%Higher team close rate
The reality

Managing sales should not
feel like guesswork.

01

Forecasting is theatre

Every Friday: pull spreadsheets, beg reps for updates, build a deck, hope your CFO doesn't ask follow-ups. Numbers are stale before the meeting.

02

You can't see who needs help

Riya missed quota three months in a row. You only noticed in month four. Coaching opportunities go missed because the data lives in 14 places.

03

Pipeline leaks in the dark

$400k worth of “Stage 3” deals haven't moved in 60 days. Are they alive? Dead? Just slow? No one knows and the QBR is Tuesday.

lioLIO fixes all three. Every deal, every rep, every signal visible.
How it works

Lead like the data is
on your side.

Forecast you can stand behind

Forecast you can stand behind

Signing probability per lead rolls up to team forecast. Commit vs best-case vs quota in one view. Variance explained automatically.

  • Signing probability rollups
  • Commit / best / worst views
  • Variance auto-explained
Coach where it matters

Coach where it matters

See which rep is slow on response, which one's losing at proposal stage, who's calling cold leads instead of warm. Coaching becomes specific.

  • Per-rep performance metrics
  • Stage conversion by rep
  • Activity heatmaps
Plug pipeline leaks

Plug pipeline leaks

Deals stuck > 30 days? Flagged. Reps not following up? Visible. Going-cold alerts surface before a deal dies. You see leaks before they cost you the quarter.

  • Stalled deal detection
  • Going-cold alerts
  • Full audit log on every action
Use cases

How leaders use LIO each week

01

Forecast in 10 minutes, not 4 hours.

Open LIO. Commit, best-case, at-risk, variance vs last week all there. Drill into any number and see the deals behind it. Your spreadsheet can retire.

Signing ProbabilityPipeline VisualizationCustom Views
Forecast call
The numbers

Sales leaders running LIO forecast like CFOs.

I used to spend Fridays in spreadsheets. Now I spend them coaching. LIO gave me my weekends back and lifted the team 40 points.

— VP of Sales, mid-market B2B

0%

Forecast accuracy

0.0×

Faster pipeline reviews

0%

Higher team close rate

0h

Saved per week

How it works

For every kind of leader
LIO scales with your team.

First-line managers

First-line managers

5–10 reps. Daily standup data. Coaching cards. Quota tracking.

Sales directors

Sales directors

20–50 reps. Multi-pipeline view. Stage conversion by team.

VPs of sales

VPs of sales

Full org. Forecast accuracy, win-rate trends, rep ramp tracking.

CROs

CROs

Board-ready dashboards. Source-to-revenue. CAC payback. ARR trajectory.

Integrations

LIO joins your stack,not the other way around.

Questions & Answers

Everything you need to know

Get answers to common questions about how LIO helps sales teams score, prioritise, and close the right leads.

Teams running LIO for 3+ months see forecast accuracy in the 90-95% range. The model learns from your win patterns the longer you run it, the sharper it gets.

Your forecast deserves a backbone.

Start your 14-day Pro trial. White-glove rollout included.