Scope & qualify
We map the AI you deploy and the public AI that represents you — the surfaces, markets, products, and risk questions that matter — and confirm fit before any workspace is provisioned.
Lawnise engagements
Lawnise verifies the AI you deploy and the public AI that represents you — through scoped access, an agreed operating cadence, and an audit-ready evidence trail. We confirm fit before a workspace is opened.
Engagement model
The shape of the engagement is matched to what you need to verify — keeping access, evidence, and operational responsibility aligned before the platform is used in production.
We map the AI you deploy and the public AI that represents you — the surfaces, markets, products, and risk questions that matter — and confirm fit before any workspace is provisioned.
Anything that tests connected AI systems runs only under a written scope, defined targets, and agreed rules of engagement — with your authorization first.
Lawnise operates the first verification workflow against your approved evidence, with your review cadence and reporting needs in view.
Each verified answer is linked to its source and preserved with a hash-linked trail, held under tenant- and project-scoped access controls.
You get the findings, the exposure trend, and the correction paths — what was wrong, on which surface, and what to do about it.
Corrections are re-verified, and public-surface verification continues on an agreed cadence so exposure doesn't drift back.
Commercial terms are handled through a proposal or order form — no public checkout. Start by telling us the scope you need.
Request access for a scoped verification engagement, or book a briefing for a working session.