I design systems from the workflow outward: understand the failure points, define what must remain deterministic, then introduce AI where it can create real leverage.
Systems that answer demand, qualify intent, find real availability, complete bookings, and tell operators when automation needs help. Across selected deployments, these architectures have processed more than 1.5 million customer calls and reduced operating costs by as much as 92%.
High-volume customer communication is expensive, inconsistent, and difficult to scale without losing quality.
Architected multi-tenant voice campaigns, agent logic, CRM tools, schedules, analytics, and deployment safeguards.
A production platform that moves voice AI from isolated demos into observable, repeatable business operations.
Busy clinics lose calls, take too long to book appointments, and lack a unified view of patient-call outcomes.
Built AI reception, clinic-specific call logic, protected booking, and normalized operational reporting.
Faster booking, fewer missed opportunities, and a clear path for staff follow-up across locations.
Service leads arrive with incomplete context and decay quickly while staff manually qualify and schedule them.
Connected messaging, qualification, ServiceTitan availability, durable booking state, and human escalation.
A dependable lead-to-booking workflow that separates conversational flexibility from transactional certainty.
AI can help make medical and research information usable, but only when provenance, review, security, and deterministic controls are part of the architecture from the beginning.
Patient histories are fragmented across long PDFs, scans, laboratory reports, visit notes, and duplicated records.
Designed staged ingestion, relevance filtering, progressive summarization, and source-linked clinical facts.
Large record sets become coherent patient-level summaries while remaining traceable for clinical review.
Dental teams spend valuable chair time converting spoken findings into formal documentation and charts.
Built voice capture that structures examinations into reviewable SOAP notes and periodontal chart data.
Documentation moves closer to the examination without removing the clinician's final review.
Clinical study setup turns dense protocols into complex visits, forms, subjects, rules, and review obligations.
Designed protocol-assisted configuration, eCRF workflows, subject operations, auditability, and integrity checks.
A structured workspace that makes study execution and review more continuous, visible, and consistent.
Research sites must reconcile sponsor budgets with protocol obligations and inconsistent market benchmarks.
Connected protocol extraction, proposal spreadsheets, procedure mapping, and evidence-based comparisons.
Negotiation teams can identify missing or underpriced work and prepare defensible budget positions faster.
Tools for finding stories, producing content, and reviewing AI-assisted changes without hiding sources, costs, or editorial control.
Newsrooms need speed, but generic AI writing pipelines lose freshness, editorial context, and accountability.
Built discovery, clustering, writing, SEO, review, provider routing, cost telemetry, and video workflows.
An editorial operating system where AI assists the workflow instead of bypassing it.
Full-document AI rewrites make it difficult to verify whether scientific meaning has changed.
Designed patch-first edits with visible differences, explanations, validation, and accept-or-reject controls.
Writers can improve dense material through local, reviewable changes rather than trusting an opaque rewrite.
Smaller products that test how AI can participate in commerce and collaborate with people inside operational software.
Restaurant menus create decision fatigue while conventional ordering software offers little useful guidance.
Combined menu context, conversational discovery, customization, Square checkout, and order tracking.
A more helpful ordering experience that can guide a guest without getting between them and checkout.
AI agents often operate outside the same tasks, documents, and accountability systems used by people.
Created shared project primitives, agent access tokens, tasks, documents, comments, and activity history.
People and agents can work from the same source of truth and report progress in the same workspace.