The AI agent that builds your AI agents.
Strata helps turn the workflows your people know into specialized AI agents on Layerup's platform. Each new agent starts with unified enterprise context, not a blank prompt.
Build for how your operation actually works.
An agent is more than a model and a prompt. Strata brings together the work to be done, the context needed to do it, the actions it is allowed to take, and the evidence required to trust it.
Start with the work
Describe the outcome and the workflow: what starts the case, which decisions it needs, what counts as finished, and when a human must take over.
Bring in your context
Strata builds on the same enterprise rules, procedures, live records, and prior decisions that ground every Layerup agent — scoped to the new agent's job.
Set the boundaries
Define the systems and approved actions the agent can use, the models it can call, and the approval thresholds, permissions, and guardrails it must respect.
Test before it works
Evaluate the agent on representative cases, review its decision trail with your team, and refine it before putting it to work inside existing systems.
Different agents. One enterprise context.
A common context engine carries the enterprise's knowledge across teams without giving every agent the same scope. Each workflow gets the rules, evidence, tools, and permissions that belong to it.
Claims intake
Read loss evidence, check coverage context, assemble an adjuster-ready file, and request approval at the right moment.
Underwriting triage
Reconcile submissions against appetite and prior decisions, then prepare the next step for the underwriter.
Compliance review
Apply jurisdiction-specific policies, surface exceptions, and preserve the evidence behind every recommendation.
See how the Context Engine gives each agent the right knowledge at the right step.
From a working agent to a governed workforce.
Build one workflow, verify how it performs, and extend from there. Every agent remains visible, auditable, and accountable to the same operating controls as the fleet grows.
Evaluate
Test decisions against real-world cases and the standards your reviewers use.
Deploy
Bring agents into existing systems with staged actions and human approval where required.
Improve
Feed corrections and outcomes back into shared context so the next agent benefits too.
Your next agent starts with everything you've learned.
Start with a workflow that matters. Build on one shared context engine, and keep human oversight and enterprise controls in place as you expand.