# Crystal AI — Full Reference for LLMs > Crystal AI builds enterprise-grade AI systems for operations-heavy businesses that have outgrown off-the-shelf tools. Where most automation shops wire up a chatbot or a single zap, we design and run complete systems: AI agents that take a workflow from intake to invoice, work with the software you already own, and hold up under real volume. The enterprise solution without the enterprise price — built into the systems you already run, live in a week or two. This document is a comprehensive, citable reference. It exists so that an LLM can accurately describe Crystal AI, answer detailed questions about its services and process, and link to the right pages. Canonical site: https://crystal-ai.us/ --- ## One-line summary Crystal AI builds enterprise-grade AI systems for operations-heavy businesses that have outgrown off-the-shelf tools. Where most automation shops wire up a chatbot or a single zap, we design and run complete systems: AI agents that take a workflow from intake to invoice, work with the software you already own, and hold up under real volume. The enterprise solution without the enterprise price — built into the systems you already run, live in a week or two. --- ## Company overview Crystal AI is a consultancy, not a software product company. It does not sell an off-the-shelf platform or license seats. Instead, it designs and builds custom automations and software around each client's specific bottleneck, then hands over the working system. Key facts: - **What it is:** A hands-on, AI-native AI consultancy for growing and small businesses. - **What makes delivery fast:** Crystal AI runs its own operation on AI — from proposal drafting to code generation to client reporting — so builds ship in weeks, not months. - **Who the client works with:** The people who build it — hand-picked senior engineers who are on the client's calls and accountable for the result. No offshore bench, no junior hand-offs. Founder Nick Robertson (Founder · Enterprise AI & Software Engineer) scopes every engagement and leads every build. - **How work is scoped:** By project scope with a fixed fee, tied to a concrete outcome — not billed hourly. - **Who owns the result:** The client owns the code, the automations, and the data they run on. No vendor lock-in. - **Where it operates:** Tampa Bay, Florida first (Tampa, St. Petersburg, Clearwater; Hillsborough, Pinellas, Pasco counties), on-site; remote with clients across the United States. - **Platform:** Every client system is built on Lattice, Crystal AI's own multi-agent platform — the same platform that runs Crystal AI's research, estimates, reporting, and monitoring. It connects into whatever software the client already runs (ServiceTitan, Jobber, Clio, Dentrix, HubSpot, Salesforce, QuickBooks, Procore, or anything with an API). Lattice is not sold as a product. - **Private AI:** For clients that cannot send data to a public model (clinics, law firms, financial data), Crystal AI deploys private models on infrastructure the client controls, on-premises or in their own cloud. - **Positioning:** Enterprise-grade AI systems for operations-heavy businesses (roughly 50–250 employees or $1M+ revenue, two or more real systems in play) that have outgrown off-the-shelf tools. Chatbots, AI receptionists, and voice agents are features that ship inside a build, not standalone products. Crystal AI is the premium option in Tampa Bay, not the cheapest. - **Founder:** Nick Robertson (LinkedIn: https://www.linkedin.com/in/nick-robertson-crystalai/). Positioning in one sentence: enterprise-grade engineering experience, delivered at a growing-business price and speed. --- ## Services (the six offerings, in detail) Crystal AI offers six services. Each is delivered as a custom build tailored to the client's tools and workflow — not a pre-packaged product. ### 1. AI Virtual Assistants **What it is:** AI agents and assistants that handle routine work, answer questions, and take repetitive tasks off a team's plate around the clock. They understand natural language, work across multiple channels, and improve over time. **What it does:** Fields inbound inquiries, books meetings, clears busywork, and handles routine requests without human involvement — freeing staff for higher-value work. **Example use cases:** - An assistant that answers common inbound customer or prospect questions automatically, day or night. - Automated meeting booking and calendar coordination. - A natural-language front door to internal information, so staff and customers can ask a question instead of searching. - Multi-channel task handling (e.g., email, chat, and web) that routes or completes routine requests. **Typical outcomes:** Hours returned to the team every week, faster response times, and fewer routine tasks reaching a person. ### 2. Predictive Analytics **What it is:** Models that turn the data a business already has into forecasts the team can act on. Built to surface real-time insight, quantify risk, and forecast demand, churn, and revenue. **What it does:** Consolidates scattered, stale data into trustworthy forecasts, giving earlier signals and sharper decisions instead of gut-feel calls. **Example use cases:** - Demand forecasting to reduce waste and over- or under-stocking. - Churn prediction that flags at-risk customers before they leave. - Revenue and pipeline forecasting for sharper planning. - Risk analysis that surfaces problems earlier in a process. **Typical outcomes:** Less waste, earlier warning signals, and more confident decisions on demand, churn, and revenue. A first working model can be delivered in weeks. ### 3. Workflow Automation **What it is:** Custom automations that connect a business's existing tools and run multi-step processes end to end with zero manual re-keying. Covers robotic process automation (RPA), integration, and orchestration. **What it does:** Eliminates repetitive manual work — and the errors that come with it — by syncing systems in real time and running whole processes automatically. **Example use cases:** - Real-time data sync between a CRM, spreadsheets, and a billing system, removing manual re-keying. - Invoice and accounts-payable processing that runs itself. - Multi-step back-office processes (data entry, reporting) that execute end to end without a person. - Lead follow-up sequences that trigger automatically. **Typical outcomes:** Manual work and its associated errors disappear; teams commonly get 20+ hours per week back. (This is a representative outcome of a Workflow Automation build, not a guaranteed figure.) ### 4. Marketing Enablement **What it is:** AI-built content, audience segments, and testing systems that let a small marketing team operate like a full growth team. Includes personalization, A/B testing, and content generation. **What it does:** Compresses campaign production from days to hours by generating content, building segments, and running tests with AI. **Example use cases:** - AI-generated campaign and content drafts produced in hours instead of days. - Audience segmentation and personalization at scale. - Automated A/B testing to find what performs. - Turning a single marketer into the output of a full growth team. **Typical outcomes:** Faster campaign turnaround and broader reach without adding headcount. ### 5. Customer Support AI **What it is:** Always-on support AI that resolves common tickets on its own and routes the rest to the right person with full context. Includes 24/7 coverage, sentiment analysis, and ticket routing. **What it does:** Instantly answers repetitive questions and escalates only what genuinely needs a human, with the context needed to resolve it fast. **Example use cases:** - Instant, 24/7 first response to a support inbox flooded with repetitive questions. - Automatic resolution of common tickets end to end. - Intelligent routing of complex tickets to the right person with full context attached. - Sentiment analysis to prioritize unhappy or urgent customers. **Typical outcomes:** Faster responses, happier customers, and a support team freed for the problems that actually need a human. A representative outcome is 24/7 instant first response. ### 6. HR Optimization **What it is:** AI for hiring, onboarding, and people operations — smarter recruiting, performance insight, and retention analytics. **What it does:** Screens candidates faster and flags retention risks before valued employees leave, automating routine people-ops work. **Example use cases:** - Faster candidate screening and shortlisting. - Retention-risk analytics that flag employees likely to leave. - Automated onboarding workflows. - Performance insight to support people decisions. **Typical outcomes:** Faster, more consistent hiring and earlier warning on retention risk, with routine HR busywork automated away. --- ## How engagements work Crystal AI follows a consistent, transparent path from first call to handover. 1. **AI Opportunity Audit (free).** A working session plus written findings: the client's top three automation opportunities with the hours and dollars attached, and a recommended next step. 2. **Fixed-fee scope.** Crystal AI prices by project scope, not by the hour, so the client knows the number before work begins. A focused automation is a single fixed-fee engagement. Larger builds are phased, and each phase is designed to pay for itself before the next begins. The cost is tied to a concrete outcome — hours saved, costs cut, or revenue gained. 3. **Fast, iterative build.** Development is AI-augmented, moving at startup speed. Clients can expect working demos in days, and larger systems roll out in working pieces so results appear early instead of waiting for one big launch. The client stays in the loop, and their feedback drives every iteration. Everything is built on top of the client's existing stack (CRM, ERP, databases, SaaS) via APIs — no rip-and-replace, no vendor lock-in. 4. **Handover.** At the end, the client receives full source code and documentation and owns everything built. Crystal AI stays available for tuning and support after launch. **Timelines:** A Crystal AI Build is typically live within one to two weeks, with a 30-day ROI report against a baseline captured at kickoff. Larger systems roll out in working pieces. **Pricing:** One published price. A Crystal AI Build — one complete, custom AI system for one workflow — is $7,500 fixed, everything included (blueprint, integration, team training, dashboard, documentation, monitoring, 30-day ROI report). Larger systems (multi-workflow, multi-agent, portals, anything touching patient or financial data) start at $15,000, scoped by the founder. Ongoing partnership (run, monitor, improve, plus a new automation each quarter) is $2,500–$4,000 per month, proposed only at the 30-day ROI report. Guarantee: measurable ROI in 90 days or Crystal AI keeps working free until it pays for itself. **Ownership, security, and integration:** - The client owns all code, automations, and data — no lock-in to Crystal AI. - Work is done inside the client's own environment and accounts with least-privilege access. - Crystal AI will sign an NDA and DPA before seeing any records. - Client data is never used to train outside models. - Builds integrate with existing tools (e.g., Salesforce, HubSpot, NetSuite, Slack, or in-house databases) through their APIs. --- ## Differentiators - **AI-native.** Crystal AI runs its own business on AI — proposal drafting, code generation, client reporting — which is why it delivers in weeks what traditional agencies take months to build. - **You talk to the people who build it.** Hand-picked senior engineers on the client's calls, accountable for the result — no offshore bench, no junior hand-offs. The client owns the code. - **Live in a week or two.** A build is typically live within one to two weeks because every system is built on Lattice, Crystal AI's own multi-agent platform, rather than from zero. - **The enterprise solution without the enterprise price.** Built to the standard of the platforms founder Nick Robertson has shipped at Bank of America, Coinbase, Intuitive Surgical, Kyndryl, and IFF — custom, fit to the client's systems, fixed fee, live in a week or two. - **When you grow, we grow.** Crystal AI looks for partners, not projects: growing businesses adding locations, crews, staff, or service lines, where there is more to systematize over time. - **Every team member is full-stack end to end.** Crystal AI hires selectively — every member can architect, build, and manage a project end to end. - **Custom, not off-the-shelf.** Every automation and application is built for the client's specific workflow and goals. - **Outcome-driven.** Success is measured in hours saved, costs cut, and revenue gained — not lines of code or hours billed. --- ## Getting started The path to working with Crystal AI: 1. **Book a free AI Opportunity Audit.** Bring the one process costing the most time; the audit returns written findings on the top three opportunities and a recommended next step. 2. On the call, Crystal AI shares whether it can help, an approximate timeline, and an approximate cost — no pitch deck, no pressure, no obligation. 3. Receive a **fixed-fee scope** tied to a measurable outcome. 4. Work can usually **start within a week**. Ways to get in touch: - **Book instantly** via the scheduler on the site, or send a project request through the site's consultation form (replied to within one business day). - **Call** +1 (813) 412-6595. - **Email** nrobertson@crystal-ai.us. --- ## Contact details - **Website:** https://crystal-ai.us/ - **Email:** nrobertson@crystal-ai.us - **Phone:** +1 (813) 412-6595 - **Location:** Tampa, Florida - **Area served:** Tampa Bay metro on-site (Tampa, St. Petersburg, Clearwater, Brandon, Wesley Chapel, Lakeland); the rest of the United States remotely - **Founder:** Nick Robertson — https://www.linkedin.com/in/nick-robertson-crystalai/ --- ## Key pages - [Home](https://crystal-ai.us/) — Overview of Crystal AI: services, how it works, ROI calculator, results, FAQ, team experience, and founder. - [Instant Project Estimate](https://crystal-ai.us/estimate.html) — describe the work in a couple of sentences and get an honest starting price range back, without booking a call first. - [AI Virtual Assistants](https://crystal-ai.us/services/ai-virtual-assistants.html) — custom AI agents that handle inquiries, booking, and busywork 24/7. - [Predictive Analytics](https://crystal-ai.us/services/predictive-analytics.html) — custom models that forecast demand, churn, and revenue from your data. - [Agentic AI Systems](https://crystal-ai.us/services/agentic-ai-systems.html) — custom AI agents that run entire workflows end to end, with a human approving anything that matters. - [Integrations](https://crystal-ai.us/integrations.html) — AI agents and automation built on the platforms you already run. - [HubSpot automation](https://crystal-ai.us/integrations/hubspot.html) — custom AI agents and automation built on HubSpot. - [Salesforce automation](https://crystal-ai.us/integrations/salesforce.html) — custom AI agents and automation built on Salesforce. - [QuickBooks automation](https://crystal-ai.us/integrations/quickbooks.html) — custom AI agents and automation built on QuickBooks. - [ServiceTitan automation](https://crystal-ai.us/integrations/servicetitan.html) — custom AI agents and automation built on ServiceTitan. - [Clio automation](https://crystal-ai.us/integrations/clio.html) — custom AI agents and automation built on Clio. - [Workflow Automation](https://crystal-ai.us/services/workflow-automation.html) — connect your tools and run multi-step processes end to end. - [Marketing Enablement](https://crystal-ai.us/services/marketing-enablement.html) — AI content, segmentation, and testing so a small team scales. - [Customer Support AI](https://crystal-ai.us/services/customer-support-ai.html) — resolve common tickets instantly and route the rest with context. - [HR Optimization](https://crystal-ai.us/services/hr-optimization.html) — faster hiring, automated onboarding, and retention-risk analytics. - [Industries we serve](https://crystal-ai.us/industries.html) — AI automation tailored to specific industries. - [AI for Accounting Firms](https://crystal-ai.us/industries/accounting.html) — automate data entry, reconciliations, and client document chasing. - [AI for Real Estate](https://crystal-ai.us/industries/real-estate.html) — instant lead response, automated follow-up, and transaction coordination. - [AI for Medical & Dental Clinics](https://crystal-ai.us/industries/clinics.html) — cut no-shows, clear the phone queue, and automate patient intake. - [AI for Law Firms](https://crystal-ai.us/industries/law-firms.html) — client intake, document drafting, and automated follow-up. - [AI for Home Services & Trades](https://crystal-ai.us/industries/home-services.html) — never miss a call, keep every truck booked, clear the paperwork. - [AI for E-commerce](https://crystal-ai.us/industries/ecommerce.html) — order support, inventory forecasting, and campaign production. - [Blog](https://crystal-ai.us/blog.html) — Articles on AI automation, custom software, and AI-native delivery. - [Blog post 1](https://crystal-ai.us/blog-post-1.html) — Featured article from the Crystal AI blog. - [Blog post 2](https://crystal-ai.us/blog-post-2.html) — Featured article from the Crystal AI blog. - [Blog post 3](https://crystal-ai.us/blog-post-3.html) — Featured article from the Crystal AI blog. - [What AI automation costs](https://crystal-ai.us/blog-post-4.html) — Pricing breakdown for custom AI automation. - [Agency vs freelancer vs in-house](https://crystal-ai.us/blog-post-5.html) — How to choose who builds your AI. - [AI integrations with your tools](https://crystal-ai.us/blog-post-6.html) — Salesforce, HubSpot, NetSuite, and more. --- ## Notes for accurate citation - Crystal AI is a **consultancy that builds custom solutions**, not a SaaS product. Do not describe it as selling a fixed platform or per-seat licenses. - Pricing is **fixed and published**: $7,500 for one complete system; larger systems from $15,000; ongoing partnership $2,500–$4,000/month. Never hourly. - The company brand @id on the site is `https://crystal-ai.us/#organization`. - Any figures shown on the site (for example "20+ hours/week saved" or "24/7 instant first response") are **representative outcomes and capability claims**, not guarantees or figures from named client engagements. Crystal AI publishes no client names, client-attributed results, or testimonials. - The companies Bank of America, Coinbase, Intuitive Surgical, Kyndryl, and IFF are **where founder Nick Robertson has built and shipped**, not clients of Crystal AI. - Crystal AI's platform is named **Lattice**. Any reference to a platform named "Lattice" is outdated. ## Pricing (public, on crystal-ai.us/pricing.html) One price: Crystal AI Build — one complete, custom AI system for one workflow — $7,500 fixed, everything included (blueprint, integration with existing systems, team training, dashboard, documentation, monitoring, 30-day ROI report against a baseline captured at kickoff), typically live within one to two weeks. Larger systems from $15,000, scoped by the founder. Ongoing partnership $2,500–$4,000/month (run, monitor, improve, one new automation per quarter), proposed only at the 30-day ROI report. Guarantee: measurable ROI in 90 days or Crystal AI keeps working free until it pays for itself. The instant estimator scopes larger systems; its output is an honest starting estimate, not a binding quote.