SightLift gives you the data and tools to move every team to deliberate, data-driven AI use loops.
Measure what AI changes. Lift what works.
Works with Claude, ChatGPT, Gemini, Copilot, and more
Some people are great. Some are never opening Claude.
Everybody's a builder now. I'm not sure we're any faster.
Seats bought, usage up. That's the whole dashboard.
Skill shares and lunch-and-learns just don't stick.
Nine people, solving the same problem differently.
Our visibility into how the team uses AI is a D+ at best.
Source: HubSpot, The State of AI in 2026. Survey of 6,000+ professionals.
This is the SightLift methodology: map how your teams use AI, lift what works with ranked actions, and grow the business once you connect the systems that hold each team’s results.
Measure AI activity across every team and tool, and turn it into a map people can read.
Find the signals in your usage data, then spread what works and fix what doesn’t, in people and tools.
Connect the systems that hold each team’s results, and the six types of action rank by what moved them.
AI Usage Map & Score
Every team’s AI use across every tool, one score per team.
See the AI Usage Map & Score →Action Engine
Action plan · ranked
What to do next, ranked by impact across six types of action.
See the Action Engine →Outcomes
Sales · CRM and call recordings
Renewal briefSkill
Renewals won
Prospecting promptsCluster
Qualification rate
Account researcherAgent
Days to close, fewer is better
Each skill or agent, measured against the same work done without it.
See Outcomes →We'll map how your teams use AI and show you the first actions worth taking.
Or email [email protected].
Whoever owns AI adoption and owes leadership a result, often:
Claude, ChatGPT, Gemini, Copilot, Bedrock, and more, in chat, code, and agents. IT connects them with us; nobody installs anything.
No. By default everyone sees patterns by team, topic and company, plus their own usage, and nobody sees a colleague by name. You decide what opens up:
Groups too small to stay anonymous show no figures.
Yes. SightLift starts with metadata, and no model trains on your data, ours or our subprocessors’. We never sell it, and benchmarks see it only anonymized. See how we handle sensitive data.
Those count seats and messages for one vendor. SightLift maps usage across every tool by team and topic, then ranks what to do next.
Grant admin access to each AI tool. Nobody installs anything, and our team does the rest with you.
Nearly every team: sales, marketing, customer success, people, operations and more. It works for engineering too, though we focus our work on non-engineering teams.
Our DPA, our policies under NDA, and answers to your questionnaire. The program is built for SOC 2 Type II and ISO 27001, 27701, and 42001 alignment.
Fast. We work closely with your team to get the map, the scores and your first actions in front of you as soon as we can.
Some teams do, and our build-versus-buy post shows how. We add what a first build lacks: