Legal Scheduling on Agent
An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, built for one person, not a department.
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An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, built for one person, not a department.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, so the work stops following people home.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at legal ops teams, taking the phone queue off a human entirely.
A document parser that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, catching the error before it becomes a change order.
Point a retrieval engine at contract analysis, and let people review output instead of producing it. Aimed at accounting firm owners, holding service constant on a smaller team.
Point a retrieval engine at customer support, and let people review output instead of producing it. Aimed at accounting firm owners, replacing the spreadsheet that currently holds it together.
A document parser that handles inspection end to end and hands a human the exceptions rather than the queue. Aimed at accounting firm owners, built for one person, not a department.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at accounting partners, charging only when it actually works.
A document parser that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at accounting partners, going after the low-value tail everyone else skips.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at accounting ops teams, replacing the spreadsheet that currently holds it together.
A document parser that handles incident reporting end to end and hands a human the exceptions rather than the queue. Aimed at insurance agency owners, replacing the spreadsheet that currently holds it together.
A document parser that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at insurance underwriters, built for one person, not a department.
A document parser that handles warranty & returns end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, charging only when it actually works.
Renewal management handled by an anomaly detector, with a human signing rather than writing. Aimed at insurance claims teams, replacing the spreadsheet that currently holds it together.
A narrow document parser scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, holding service constant on a smaller team.
Proposal writing handled by a retrieval engine, with a human signing rather than writing. Aimed at insurance brokers, replacing the spreadsheet that currently holds it together.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at lending underwriters, unbundling the one module people actually use.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at lending underwriters, taking the phone queue off a human entirely.
A narrow document parser scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at lending ops teams, going after the low-value tail everyone else skips.
Margin monitoring handled by an anomaly detector, with a human signing rather than writing. Aimed at wealth management firm owners, so the work stops following people home.
Point a retrieval engine at document review, and let people review output instead of producing it. Aimed at construction project managers, closing the loop while everyone is asleep.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at construction project managers, replacing the spreadsheet that currently holds it together.
A narrow forecasting model scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at construction project managers, starting from data the business already produces.