Frequently Asked
Infrastructure Questions.

We are an infrastructure and installation firm. Unlike agencies that offer consulting, we install working systems you own. We don't give you advice; we build and deploy the actual thing.

Standard AI tools guess. They predict what sounds right based on patterns. What we build wraps those same models in hard rules your business defines. If your policy says "No discounts above 10%," our system is 100% incapable of offering 11%. Same AI, but with your business logic in control.

We work with the CRMs most service businesses actually use: Salesforce, HubSpot, GoHighLevel, Zoho, Pipedrive, Close, Jobber, and ServiceTitan. If yours isn't on that list, tell us what you're running. We build custom middleware for proprietary and industry-specific stacks as part of our Custom Integrations module.

We work around it. Webhooks, email parsing, screen-scraping middleware, and file-based data extraction are all tools we use when a direct API isn't available. Most legacy systems have at least one output we can hook into. We'll tell you what's possible in the audit.

Your data flows only between tools already in your stack. We don't store customer records, PII, or call transcripts on our servers. No client data is used to train AI models — not ours, not anyone's. The systems run in your infrastructure, under your credentials, and we don't retain access after handoff.

Yes. Because we build into your existing secure infrastructure, we can maintain the compliance standards your industry requires, including HIPAA, GDPR, and SOC2.

We handle 90% of the heavy lifting. We require about 4 hours of your team's time over a 14-day sprint for logic mapping and final production testing.

It's our 30-minute diagnostic session where we map your manual data entry points and missed opportunities to determine the exact ROI of an automated system.

Because we build infrastructure, not subscriptions. You pay a fixed fee for the build. After launch, there's a small monthly tool cost ($250-$750 depending on volume) to keep the AI systems running — but that covers the actual infrastructure, not our time. No consulting retainers, no hourly billing, no scope creep.

Most clients see operational ROI (hours saved) within the first 30 days. Revenue ROI (recovered leads) usually manifests within the first storm season or high-volume cycle.

If any system we deploy produces a logic error — a wrong routing decision, a bad output, a failed trigger — we fix it at no cost within 90 days of launch. No support tickets. No billing. Just fixed. The guarantee covers logic failures, not usage changes you make after handoff.

Yes. For Advanced and Enterprise tiers, we provide a management dashboard where you can update pricing, policy, and brand voice in real-time.

No. We use sub-500ms latency models with regional accent synchronization. Most human callers cannot distinguish our Voice AI from a professional onshore representative.

Our gateways use advanced neural noise-cancellation. Whether your customer is calling from a windy job site or a busy street, the AI filters for the human voice only.

Yes. We can deploy multi-lingual gateways that automatically detect and respond in the caller's preferred language (English, Spanish, French, etc.).

Absolutely. During the Logic Mapping phase, we define the Brand Persona, whether you want the AI to be strictly professional, friendly and conversational, or highly technical.

The system flags it and escalates. When a response falls outside the confidence threshold or triggers an edge-case rule, it routes to a human queue with full context — the caller's history, what was asked, what the AI attempted. Your team reviews and responds. We log every escalation so we can tighten the logic after launch.

No. Because we wrap models in hard business rules, the AI cannot state something that isn't in your verified data set. If it doesn't know, it routes to a human. It won't guess a price, invent a policy, or promise something you didn't authorize.

Our infrastructure is Model Agnostic. We build the logic fabric separately from the AI model. If a better model emerges, we can swap the brain without rebuilding the entire system.

Easily. Once the Global Logic is mapped, we can deploy location-specific sub-gateways in minutes, each with its own local data and CRM routing.