AI Usage Map & Score

Unify AI usage across every tool

Chat, code and agents from Anthropic, OpenAI and Google, with cost, on one map.

Claude 46% · ChatGPT 38% · Gemini 16%
of 12,400 conversations this month

Find your best AI users on every team

Compare departments, teams and roles on the same map.

9 people do 40% of Sales’ AI work
and 3 of them sit in Renewals

Sort every conversation by topic

Tag each one by topic, output and complexity, then slice it any way.

1,284 conversations tagged this week
across 31 topics, led by renewal prep

Track every skill and tool the team uses

See who made each one, whether it’s current and who reuses it.

Account researcher · 214 uses
reused by 6 teams, and v3 is current

Ask the map over MCP ↓ Start building your AI-Use Score ↓

Ask the map about your team's AI usage.

Open SightLift in its dashboard, or ask it questions over MCP from Claude, ChatGPT or your own agents. This lo-fi demo shows the MCP.

Try it: click a question, or type your own. Sample data.

Claude

sightlift-analytics · MCP connected

I'm connected to your SightLift AI Usage Map. Pick a question to start:

In the product, it answers from your team's live usage.

Start building your AI-Use Score.

The score rates each team on five dimensions you weight, tracked each quarter and split by team, geo or department. Each one rises when:

Adoption most of the team uses its paid AI seats on most days.
Sophistication people give AI bigger jobs, like code, analysis or a plan.
Efficiency less of your token spend goes to waste, like model overkill.
Reuse people run a shared skill instead of redoing work by hand.
Governance sensitive work meets your policy and stays with the right roles.

Answer what you can for a quick estimate. In the product, real usage sets it.

Adoption

Is the whole team on board?

How many people are on your team?

How many use a paid AI seat each week?

How many are your best AI users?

Sophistication

Is the team using AI to do meaningful work?

Do they write structured prompts?

RarelySometimesUsually

Do they use files, projects, MCP, or sub-agents?

RarelySometimesUsually

Do they know when not to use an LLM?

RarelySometimesUsually

Efficiency

How much of your spend does useful work?

Do they pick the right model for each task?

RarelySometimesUsually

Do they weigh token cost when picking a model?

RarelySometimesUsually

What % of AI output never gets used?

Reuse

Does the team run on shared AI tools?

Do they build and share skills?

RarelySometimesUsually

Are skills cataloged in one place?

RarelySometimesUsually

Do skills self-improve to stay current?

RarelySometimesUsually

Governance

Does sensitive work follow your rules?

Do you have an AI use policy?

Does the team stick to the policy?

RarelySometimesUsually

Do you have a process for non-adherence?

0Your estimate

Adoption0

Sophistication0

Efficiency0

Reuse0

Governance0

Action plan

Finish any section to see your top moves.

How much should each dimension count?

20Adoption

20Sophistication

20Efficiency

20Reuse

20Governance

Raise your priorities, or keep the defaults.

Map how every team uses AI and see where each one stands.

Unify AI usage across every tool

Find your best AI users on every team

Sort every conversation by topic

Track every skill and tool the team uses

Ask the map about your team's AI usage.

Start building your AI-Use Score.

Adoption

Sophistication

Efficiency

Reuse

Governance

Three steps from AI usage to business outcomes.

See your map and score on your own data.

Where should we send your score?

Your score is ready.