What is AI agent orchestration?

AI agent orchestration is the coordination of multiple autonomous AI agents to complete complex, multi-step tasks. A planner agent decomposes a goal into subtasks and delegates each to a specialist subagent with the right tools and context. Agents run in parallel or sequence, hand off results, and course-correct automatically—with human review at critical decision points. The result is end-to-end task completion without manual intervention at each step.

What is an MCP server?

An MCP server is a standardized interface built on Anthropic's Model Context Protocol that exposes your business tools—CRM actions, database queries, email sending, API calls—to AI agents in a secure, typed way. Instead of writing custom integration code for every AI model, an MCP server lets any compatible AI agent call your tools using a common protocol. Moon Sherpa Labs builds production MCP servers as part of agentic AI system deployments.

What is legal intake automation?

Legal intake automation uses AI to handle the first steps of converting a prospect into a signed client without manual staff time at each step. An AI system answers or transcribes inbound calls, extracts case details, scores the lead against your firm's intake criteria, checks your conflict database, and routes qualified leads to the right attorney automatically. The result is faster response times, consistent qualification, and higher case conversion—without adding intake headcount.

What's your background?

Our founder has been on your side of the table—running a real estate practice and managing operations at a law firm. We build solutions for how businesses actually work, not how developers think they should work.

What if I'm not sure what I need yet?

That's fine. We'll map out your workflow, identify bottlenecks, and figure out if technology is even the right solution. Sometimes it's not.

What is Follow Up Ace?

Follow Up Ace is an AI agent assistant for real estate teams using Follow Up Boss CRM. It automates follow-up tasks, scores leads with AI, and exposes 100+ CRM tools to Claude and ChatGPT via an MCP server—so agents can manage their pipeline by voice or chat.

What is a fractional CTO?

A fractional CTO is an experienced technology executive who works part-time or on a contract basis instead of as a full-time employee. They provide senior technical leadership—strategy, architecture, team building, vendor decisions—at a fraction of the cost of a full-time hire. Fractional CTOs are especially valuable for startups, growth-stage companies, and founder-led businesses that need real technical expertise without a full-time executive headcount.

What is real estate automation software?

Real estate automation software handles lead follow-up, CRM data entry, pipeline updates, and appointment scheduling without manual work at each step. Modern real estate automation uses AI to score leads by intent, draft personalized follow-ups, route new inquiries automatically, and surface high-probability contacts before they go cold. The result is more closings from the same lead volume, without adding staff. Moon Sherpa Labs builds real estate automation on Follow Up Boss via Follow Up Ace.

What is business process automation?

Business process automation (BPA) uses software to handle repetitive, rule-based tasks—data entry, document routing, approvals, notifications, and system updates—without human intervention at each step. Modern BPA combines traditional if/then workflow rules with AI decision nodes that can handle exceptions, classify documents, score leads, and draft responses. The result is faster processing, fewer errors, and staff time redirected to work that actually requires judgment.

Does Moon Sherpa Labs build HIPAA-compliant software?

Yes, we have extensive experience building HIPAA-compliant systems for law firms and healthcare-adjacent businesses. This includes secure client portals, document processing, voice AI intake systems, and communication workflows that meet compliance requirements. Not legal advice—consult qualified counsel for your specific compliance needs.

Is AI HIPAA compliant for law firms?

AI can be HIPAA compliant for law firms when it is purpose-built with specific safeguards: a signed Business Associate Agreement (BAA) with the AI vendor, encrypted storage and transmission of protected health information (PHI), role-based access controls, audit logging, and data minimization. Consumer AI chatbots—including standard ChatGPT and similar tools—do not offer BAAs and are not compliant for use with client health data. Purpose-built legal AI systems deployed on BAA-covered infrastructure (Azure OpenAI, AWS Bedrock, Google Vertex AI) can meet HIPAA requirements when properly configured and built with application-layer compliance controls.

What is the difference between an AI agent and a chatbot?

A chatbot responds to a single prompt with text and typically has no memory or tool access—it answers, and the interaction ends. An AI agent receives a goal and executes it: decomposing the task into steps, calling external tools (CRM, database, APIs, email), running multiple steps without a human prompting each one, and delivering a completed outcome. Chatbots answer questions; AI agents do work.

How much does it cost to build an internal AI tool?

The cost to build an internal AI tool depends on four factors: scope (what tasks the tool handles), integrations (how many existing systems it connects to), data infrastructure (whether you need fine-tuning or RAG pipelines), and compliance requirements (HIPAA, SOC 2). No-code AI integrations typically start around $2,000–$10,000. A focused single-workflow AI agent runs $30,000–$80,000. A multi-agent orchestration system with several integrations typically costs $75,000–$200,000 or more. Enterprise platforms with compliance requirements run higher. Moon Sherpa Labs provides detailed scoping before any commitment.

How much does it cost to develop an AI agent?

AI agent development cost depends on how autonomous the agent needs to be. A single-workflow agent handling one well-defined task end-to-end (intake qualification, data reconciliation, pipeline management) runs $30,000–$80,000 and takes 6–12 weeks. A multi-agent system coordinating several agents across parallel workstreams runs $75,000–$200,000+ over 3–6 months. The jump in cost comes from orchestration logic—handoffs between agents, error recovery, and human-in-the-loop checkpoints—not from the underlying AI model, which costs the same either way.

How do you automate Follow Up Boss?

To automate Follow Up Boss, connect it to trigger-based workflows using its REST API, Zapier integration, or an MCP server. The quickest path is native Action Plans for drip sequences—no technical setup required. The most powerful path is an AI agent with MCP tool access: the agent reads CRM history, scores lead intent, drafts personalized messages, updates contact stages, and runs follow-up sequences autonomously without manual steps. Follow Up Ace by Moon Sherpa Labs provides 100+ pre-built Follow Up Boss tools for Claude and ChatGPT via MCP.

What is HIPAA-compliant software?

HIPAA-compliant software is any application that handles protected health information (PHI) while meeting the federal Health Insurance Portability and Accountability Act's safeguard requirements. At minimum that means a signed Business Associate Agreement (BAA) with every vendor that touches PHI, encryption at rest and in transit, role-based access controls, audit logging, and data minimization. The requirement applies to any software—not just AI tools—used by a covered entity or business associate, including law firms, healthcare providers, and their vendors.

What is custom software development?

Custom software development is building an application, integration, or internal tool designed specifically for one organization's exact processes—rather than adapting the organization's workflow to fit off-the-shelf software. It spans a spectrum: no-code automations on existing platforms, low-code tools with custom logic layered in, and fully custom web applications with dedicated databases and infrastructure built from scratch. Moon Sherpa Labs builds custom software for real estate, legal, and construction-industry clients in Austin, Texas and remotely nationwide.

Do you build AI receptionists for law firms?

Yes—our legal intake automation includes a voice AI front end that answers inbound calls 24/7, the same role a human receptionist or answering service fills. The difference is what happens after the call is answered: instead of just taking a message, the AI transcribes the conversation, extracts case details, scores viability against the firm's criteria, checks for conflicts, and routes qualified leads directly to the right attorney—all before a human ever touches the file.

Do you build AI voice agents for real estate teams?

Yes—through Follow Up Ace, which connects Claude and ChatGPT to Follow Up Boss via a 100+ tool MCP server. Unlike call-center-style voice agents that cold-call leads from a script, this is a CRM-embedded voice interface: agents ask questions or make updates by voice and the system reads and writes real pipeline data in Follow Up Boss, not a separate demo environment. For teams on other CRMs, we build the same MCP-based voice/chat layer as a custom integration.

Do you handle corporate legal intake, not just plaintiff-side firms?

Yes. In-house legal departments and litigation-support teams use the same intake pipeline for a different job: logging subpoenas and discovery requests, flagging response deadlines, checking new matters against active conflicts, and routing each item to the assigned attorney or legal ops team with a structured summary. It's the same conflict-check and CRM-routing engine used for new-client intake, configured for corporate and enterprise legal ops workflows instead.

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I've been on your side of the table—running a real estate practice, managing operations at a law firm. I build solutions for how businesses actually work, not how developers think they should work.