Real systems. Real outcomes.

SDR team was drowning in unqualified inbound leads. Average response time exceeded 24 hours, and reps spent 70% of their day on data entry and follow-up scheduling instead of closing.

We ran a two-week discovery sprint to map the full lead-to-meeting workflow, then designed an event-driven agent architecture with human-in-the-loop for deals above a revenue threshold.

AI agent qualifies inbound leads against ICP criteria, enriches CRM records from external data sources, drafts personalized proposals, and books meetings directly on rep calendars — escalating only high-value opportunities.

200+ operators were re-searching the same institutional knowledge daily. Internal tickets averaged 4-hour resolution times, and subject-matter experts were bottlenecked answering repeat questions.

We audited document permissions, built a hybrid retrieval pipeline, and deployed an evaluator harness before any user-facing launch to ensure answer quality and citation accuracy.

RAG assistant with cited answers, role-based permissions, and an offline evaluation suite. Deployed behind SSO with full audit logging and SOC-2-aligned infrastructure.

Portfolio team managed listings, tenants, maintenance, and forecasting across 8 disconnected tools. Operators spent 40% of their week on manual data reconciliation and status updates.

We mapped every cross-system workflow, designed a unified operator surface, and built agent orchestration to automate the highest-friction handoffs first.

Single operator dashboard with agents that unify listing management, tenant communications, maintenance routing, and revenue forecasting — with a native mobile experience for field teams.