Enterprise · For leadership teams
We work with your leadership to find where AI creates value in your organization, what it will take to get there, and what to do first. The advice comes from people who research and build reasoning systems, so it is grounded in what AI can and cannot do today.
Fixed-scope engagements · Researchers and engineers on every team
Now
Contract review agent
AI governance policy
Next
Claims triage agent
Data access layer
Later
Forecast analysis
Agent operations team
Opportunity map
Every workflow where AI could help, ranked by value and by how hard it is to do well.
Readiness review
An honest look at your data, systems, skills and controls.
Risk and governance
How decisions made with AI are reviewed, recorded and explained.
A roadmap you can fund
What to do now, next and later, with a business case for each step.
- 1DiscoverWorkshops with your leaders and the teams who do the work.
- 2PrioritizeWe score each opportunity on value, feasibility and risk, and test the top ones.
- 3PlanA roadmap, an operating model and the first agent to build.
- Contract review
- Claims triage
- Forecast analysis
- Customer email replies
Illustrative scoring from a discovery phase.
engine
Today Lemma runs on leading foundation models, chosen for each task, with our own verification and evaluation layer on top. Our own models are in development.
- DecomposeBreaks a question into claims small enough to check one at a time.
- CheckVerifies each claim with code, a proof assistant, a search or a second model.
- ScoreGives every step a calibrated confidence, so people know where to look first.
- ReviewSends the steps it is least sure of to a person before anything counts.
- RecordKeeps the whole trace: every claim, check and decision, ready to audit.
Usually six to ten weeks, depending on how many parts of the business are in scope.