Real Estate Lead Intake
Lead arrives at midnight. AI qualifies (timeline, budget, current situation), books a showing or call, sends prep materials, updates your CRM. Producer wakes up to appointments, not 30 leads to call.
Service · Agentic AI
AI that does the work, not just talks about it.
A junior team member who works 24/7, knows your industry, follows your scripts, integrates with your tools. We build agentic AI implementations on top of foundational models, the value is in the industry-specific configuration, not the underlying model.
Industry-specific use cases
Where agentic AI actually moves the needle.
Generic AI chatbots fail because every industry has its own intake script, qualifying questions, and integration requirements. We start from the playbook, not the model.
Mortgage Qualification
Conversational pre-qualification, document collection (compliance-aware), LOS integration, follow-up sequences for cold leads. Compliance review on every script.
Hospitality Reservations
Direct booking with intent capture, OTA disintermediation, special-request handling, post-stay loyalty triggers. Integrates with OpenTable, Resy, SevenRooms, or your reservation platform.
Content Audience Leverage
Different playbook entirely. List management, automated content repurposing, reader-question-to-content-idea pipelines, AI citation tracking. For publishers and content businesses.
Professional Services Intake
First-consultation scheduling, fit-screening, document collection, prep automation. Compliance-aware for FINRA, AICPA, and similar regulated environments.
Cold Lead Re-engagement
Most lead sources have 60-80% lead-to-call drop-off. AI re-engages cold leads with industry-specific sequences. Recovers 10-20% of dead pipeline in typical implementations.
Implementation
Typical timeline: 4-8 weeks to live deployment.
Phase 1, Discovery
Use case definition, current-state audit, integration scoping. We document the actual playbook your team runs, not what you wish you ran.
Phase 2, Build & Integrate
Implementation on foundational model (Claude, GPT-4, or industry-specific). Integration with your CRM, calendar, LOS, POS, or reservation system.
Phase 3, Train on Your Voice
Custom training on your specific scripts, edge cases, brand voice. Compliance review where applicable. Edge case testing before live deployment.
Phase 4, Live Monitoring
Real-time monitoring, weekly refinement, monthly performance review. AI implementations are not set-and-forget; they get better as you tune them.
Frequently asked
Honest answers about agentic AI.
What is agentic AI in marketing terms?
Agentic AI handles the parts of your business that eat hours but should not, lead intake at midnight, qualification questions, follow-up sequences, scheduling, basic objection handling. Different from generic chatbots in that it actually completes tasks (books appointments, sends documents, updates CRM) rather than just answering questions.
Is this just ChatGPT in a box?
No. Agentic AI is closer to a junior team member who works 24/7, knows your industry, follows your scripts, and integrates with your tools. We build implementations on top of foundational models (Claude, GPT, etc.) but the value is in the integration, training, and industry-specific configuration.
How does this work for real estate or mortgage?
Lead arrives via form or call. AI engages immediately, asks qualifying questions (timeline, budget, current situation), books a calendar appointment, sends prep materials, updates your CRM. Producer wakes up to qualified appointments, not 30 leads to call back. Compliance-aware where required.
How does this work for content businesses?
Different playbook. Newsletter list management, content categorization, AEO/citation tracking, automated repurposing of long-form content into social/podcast/video formats, reader-question-to-content-idea pipelines. Less about lead intake, more about audience leverage.
What is the typical implementation timeline?
4-8 weeks from kickoff to live deployment, depending on complexity. Phase 1: discovery and use case definition. Phase 2: build, integrate with your existing tools (CRM, calendar, etc.). Phase 3: train on your specific scripts and edge cases. Phase 4: live monitoring and refinement.
Stop leaking leads while you sleep.
One discovery call. We will tell you which agentic AI use cases are realistic for your stage and which can wait.