Drive AI @ Work

See Every AI Workflow.

Prove Every Outcome.

Lanai connects every AI interaction — bought, built, or quietly embedded — to the business outcome it moved.

WHAT WE HEAR EVERY WEEK

"I see AI Activity,
I do not feel any AI Advantage."

Nobody can pin workflows to outcomes. CEOs, CIOs, CTOs, and builders all feel the gap. Hear their exact words, see Lanai's fix.

CEO · 4,400-Person Enterprise Saas
We sell AI to 67,000 customers. We couldn't measure our own.
"The data you're providing is no longer optional. I have to have it — and I have to have it soon."
LANAI HELPS
Board-ready AI ROI across every function. One view. No assembly required.
CTO · 800-PERSON B2B TECHNOLOGY CO.
$18K in tokens in 21 days. He's doing one-on-ones to audit it.
"Before Lanai, I was sitting in meetings with my top ten token spenders saying: show me what you built."            
LANAI HELPS
Token spend mapped to work pursued and value gained. No more show-and-tell.
COO · 4,000-Person Enterprise Tech
The numbers are up. She can't explain why.
"It's like a science experiment where too many variables changed at once. I can't isolate what drove it. Lanai isolates the variables."            
LANAI HELPS
Workflow-level attribution. Isolate what drove the result — and scale it.
VP TECHNOLOGY · 8,000-PERSON PLATFORM
This is the tooling we need to transform the organization.
"All of our leaders need to see who's using AI, how they're using it — and it feeds back up to the executive level, telling us if we're getting the leverage from the millions we're spending."            
LANAI HELPS
Full AI portfolio visibility from individual to executive. Weekly. Automatic.
WHY YOU'RE STUCK

There are three stages of an enterprise AI journey.

Almost nobody makes it to the third.

Motion starts here
STAGE 01
Are people using AI at all?
Motion gets more sophisticated
STAGE 02
Are they building new agents, redesigning workflows, or just prompting?
This is where motion becomes progress
STAGE 03
Is the work actually moving the business?
ALMOST NOBODY IS HERE YET
UNTIL NOW
The AI @ Work
Operating System to get you to Stage 3.
THIS IS STAGE 3

Not a dashboard.
An operating system.

Every vendor shows you their own corner. Lanai shows you the whole performance.

Stage 3 has three moves. Lanai runs all three — continuously, across every AI-mediated workflow, team.
See

Where is AI actually working?

Every team. Every key result. Every AI investment tracked against the target you committed to — across sanctioned and unsanctioned tools, updated in real time.

In week one you'll see what took others a year to build by hand.

STEER

How is it impacting the KPIs I already run the company on?

Time saved, capacity created, and business impact mapped by workflow, team, and tool. Connected to the KPIs you already track — pipeline, SLAs, throughput, quality.

Stop saying 'we think it's working.' Start showing which workflows prove it.

SCALE

What should I build, scale, redesign, or sunset next?

Lanai surfaces the workflows winning across teams and tells you exactly what to build, scale, redesign, or sunset — with evidence, not instinct.

Stop running experiments. Start running a strategy.

Ask a question. Get the next move with evidence.

Every metric traced from AI activity through your systems to the outcome you already care about – and the workflows to scale, fix, or stop.

AI @ Work · Progress Against Goal
V0.4
SEE MODE
What is AI actually doing in my business — and are we hitting our goals?
Mapping AI activity to team-level key results…
Tracking adoption vs. target across sanctioned and unsanctioned tools…
Surfacing where you're on track, at risk, and behind…

Your AI Portfolio

5 teams · 5 goals · Tracked in real time
  • Progress against target
  • Updated continuously
  • Sanctioned and unsanctioned
Company Goal
15% efficiency improvement across GTM, Engineering, and G&A
6.0 hrs/person/week
0% efficiency
IN PROGRESS
KR1

Engineering

Time saved per developer per week — coding, review, maintenance

Below Target
3.39
Target:6.0 Hours
AppUsage Delta
GitHub Copilot
86%-2%
Cursor
74%·-4%
Cursor
86%·+9%
KR2

Sales & GTM

Time saved per rep per week — prospecting, outreach, follow-up

Above Target
7.83
Target:6.0 Hours
AppUsage Delta
Gong
84%-3%
Outreach
77%·+2%
ChatGPT
58%·+3%
KR3

Engineering

Time saved per developer per week — coding, review, maintenance

Below Target
2.4
Target:6.0 Hours
AppUsage Delta
Gong
84%-3%
Outreach
77%·+2%
ChatGPT
58%·+3%
AI @ Work · Progress Against Goal
V0.4
SEE MODE
Which workflows are actually moving the business — and what's the yield?
Mapping AI activity to outcomes across Salesforce, GitHub, Zendesk…
Calculating lift per workflow — time saved × adoption…
Connecting capacity to pipeline, SLAs, and quality signals…

YIELD IDENTIFIED

3 of 4

outcome areas showing measurable lift $2.3M in capacity connected to business results

OUTCOME MAPPING
CONNECTED:
ZENDESK
SALESFORCE
GITHUB
ERP
WHERE'S THE LIFT?
VIEW ALL WORKFLOWS
Prospect research and outreach
0.5 FTES SAVED
36% ADOPTION
Product content and pricing updates
0.3 FTES SAVED
24% ADOPTION
Competitive analysis and reporting
0.2 FTES SAVED
24% ADOPTION
Campaign drafting and performance review
0.2 FTES SAVED
19% ADOPTION
Job description writing and candidate screening
0.1 FTES SAVED
5% ADOPTION
Revenue
SALESFORCE
AI ACTIVITY → CRM → PIPELINE $
+34%
Qualified pipeline
Throughput
GITHUB
AI ACTIVITY → REPO → PR VELOCITY
+28%
PRS merged / sprint
DIFOT
ZENDESK
AI ACTIVITY → CRM → PIPELINE $
+12pt
Qualified pipeline
Quality
ZENDESK
AI ACTIVITY → ZENDESK → CSAT
−5pt
PRS merged / sprint
AI @ Work · Progress Against Goal
V0.4
SEE MODE
One team cracked it. How do I make it how everyone works?
Identifying which workflows have power-user vs. broad adoption gap…
Generating deployment plan for highest-yield workflow…
Checking which teams haven't adopted yet…

SCALE PLAN READY

4 actions • $127K savings

↑1.8 FTEs capacity · Q3 target within reach

SCALE CENTER
One team is getting 2× yield. Here's how to make it the default.

Lanai detected 4 actions this week. Estimated weekly impact: +1.8 FTEs · $127K saved annually.

SCALE THIS

Roll SDR prospecting workflow to all 47 reps on the GTM team.

Sales & BD • 0.5 FTEs saved • 34% pipeline lift

Adoption: 6 of 47 reps · 13%

Scale to all 47 reps
BUILD THIS

Turn renewal-prep workflow into an agent — it's ready.

Customer Success · 3.39 hrs saved/person/week

High confidence · zero variation detected · ready to automate
Build agent for this workflow
CUT THIS

3 tools doing the same job in Customer Success. Cut two.

Intercom + Zendesk AI + Claude all used for ticket routing · $84K in overlapping spend

High confidence · zero variation detected · ready to automate
Scale to all 47 reps
STOP THIS

Marketing is using Claude for tasks Glean already covers. Redirect.

G&A · 0.9 hrs saved · lowest yield in org Estimated savings: $43K/yr in token costs

High confidence · zero variation detected · ready to automate
Build agent for this workflow

AI WORK DISCOVERED THIS WEEK

239

applications, agents, features, and workflows

Touching 1,240 people. 38% of your workforce.        

What Lanai sees

AI Applications

Tools employees use directly

Claude, ChatGPT, Gemini, Copilot, Cursor

847 people

68% of workforce

12In use
12 APPROVED

AI Agents and Skills

Assistants and skills your teams build

Custom GPTs, Gemini Gems, Claude Projects, GPT Actions, Claude Skills

412 people

33% of workforce

112In use
22 APPROVED90 UNAPPROVED

Embedded AI

AI built into tools you already run

Salesforce Einstein, MS Copilot, ServiceNow, Zendesk AI, Zoom AI

1,104 people

89% of workforce

112In use
64 APPROVED33 UNAPPROVED

Autonomous AI

Multi-step workflows running across your systems.

ClaudeQualifying leads, prepping renewals, triaging tickets, reconciling invoices., ChatGPT, Gemini, Copilot, Cursor

6 teams

11 never reviewed by IT

18Detected
7 APPROVED11 UNAPPROVED

CAPACITY GAINED THIS WEEK

120 FTEs

CAPACITY GAINED

Hours recovered ÷ 40-hr week.

1.5x

AVG LEVERAGE

Output per hour with AI vs. without.

Calculated workflow by workflow.

WORKFLOWS
ADOPTION AND LEVERAGE
WORKFLOWS
TEAM
LEVERAGE
Prospect research and sequence writing

Sales

36%

1.5x

0.5 FTE
QBR prep and renewal strategy drafting

CS

24%

1.4x

0.3 FTE
Competitive analysis and exec briefing

GTM

24%

1.3x

0.2 FTE
Campaign brief-to-copy generation

Marketing

19%

1.3x

0.2 FTE
JD writing and candidate outreach

People

5%

1.2x

0.1 FTE

Connected:

Salesforce

GitHub

Zendesk

ERP

CONNECTED TO OUTCOMES
SDR prospecting and outreach

Sales

Claude

142 uses/wk

+18%Pipeline

Lanai

36% adoption

0.5 FTE saved

Salesforce

SQL conversion 22% to 26%

Bug-to-remediation assistant

Engineering

Claude Skill

67.5%Productivity

Lanai

91% adoption

1.1 FTE saved

GitHub / Jira

Cycle time 14d → 5d

AI-assisted support responses

Support

Zendesk

43%CSAT

Lanai

14% adoption

0.9x leverage

Zendesk

Quality signal declining. Review needed.

AI LEVERAGE GAPS IDENTIFIED THIS WEEK

4 actions · Sales, Marketing, Customer Success

47 reps, 12 CSMs, 3 marketing workflows. Some at 2x leverage. Most are not.

1 REPLICATE SKILL1 BUILD AGENT
1 CONSOLIDATE1 UNDERPERFORMING
Ranked actions this week
REPLICATE SKILL

Renewal Outreach Agent

Sales

AI Agents and Skills

2.1xLeverage

6% adoption

0.5 FTE

top leverage in GTM

6 of 47 reps today13%

Salesforce

34% pipeline lift

Sales West

BUILD AUTONOMOUS AGENT

Turn renewal-prep into an agent. It is ready.

Customer

Autonomous AI

1.8xLeverage

19% adoption

0.6 FTE

3.39 hrs/person/wk

Zero variation across 12 users. Ready to automate.

Salesforce

Renewal lag cut in half

CONSOLIDATE TOOLS

3 tools. Same job. Consolidate to Claude.

Marketing

Embedded AI

1.3xLeverage

19% adoption

Claude, ChatGPT, Glean overlapping

Claude, ChatGPT, Glean overlapping

Token spend

34% on low-yield workflows

We knew AI was saving time. We did not know where the leverage actually was until Lanai showed us.

VP OPERATIONS
AFTER FIRST LANAI REVIEW

Common questions from enterprise buyers

Lanai is the enterprise AI accountability company. Our AI @ Work Operating System discovers every workflow — prompts, copilots, and agents — measures capacity gained, and connects it to the business outcomes leaders are already accountable for.

We decompose every AI interaction into human-equivalent steps and calculate the time delta. That's capacity gained — workflow by workflow, conservative by design.

Vendor dashboards show their corner. Lanai shows the whole portfolio — every tool, every agent, sanctioned and shadow — connected to the KPIs you already run the business on.

Enterprise CEOs, CIOs, CTOs, and COOs at companies with active AI investment and a mandate to show results.

First insight within one week. Pilot runs 60–90 days. No annual commitment until the data speaks for itself.

The enterprise doesn't need more AI activity. It needs a way to run AI like a business.

Make AI accountable.

Two-month pilot. First insight in a week. No annual commitment until the data speaks for itself.