Questions, answered plainly.

An AI employee is software trained on your business that handles the repeat, conversational work — answering customer questions, qualifying leads, booking appointments, sending follow-ups, and routing enquiries — without any manual effort from your team. It's not a simple FAQ bot. It understands context, carries full conversations, and makes rule-based decisions the way a trained human assistant would — just faster, cheaper, and available 24/7.

Most chatbots are scripted decision trees. They follow a fixed path and break the moment a customer says something unexpected. An AI employee from Kaivix Labs is trained on your specific products, policies, tone, and real customer scenarios. It understands free-form input, handles objections naturally, and carries multi-turn conversations without losing context. The decision logic is also deterministic Python — not random AI guessing — so it behaves consistently every time.

Three main things: (1) AI Employees — conversational systems that handle customer communication, lead qualification, and appointment booking. (2) Automation Systems — workflows that run repeated actions automatically without a human trigger. (3) Custom AI Tools — internal or customer-facing software built around your specific business operations. Everything is built from scratch, not adapted from a generic template.

Not typically. They replace repetitive, rule-based tasks — not judgment, creativity, or relationship-based work. In the two client deployments that have reported back — Aion Lab and Atom Medicals — the human team didn't shrink. They got their time back to focus on higher-value work. (Our third client, Lumina Shades, is live but hasn't reported back yet.) An AI employee handles the volume; your team handles the nuance.

Any business with repetitive customer communication or a manual workflow that happens the same way every time. Our current deployments are in digital services and healthcare. We also build for e-commerce, real estate, legal services, marketing agencies, SaaS companies, support desks, and any professional service business. See the full industry breakdown.

Every project is scoped individually, but the structure is consistent: a one-time setup fee to build and deploy the system, plus a small monthly retainer that covers hosting, monitoring, updates, and ongoing support. The exact numbers depend on what you need automated and how complex the integrations are. We don't publish fixed prices because every system is custom-built — the most useful next step is a free 30-minute call where we'll give you a specific, no-obligation quote. See the packages page for a rough breakdown by scope.

We offer three tiers: Starter (one workflow — best for fixing one painful process first), Growth (2–3 integrated workflows — for teams that want support, scheduling, and lead handling working together), and Custom (built entirely around your business — for complex, multi-channel, or industry-specific needs). All include post-launch support.

The build is a one-time project fee. Ongoing support and maintenance can be arranged as a monthly retainer if needed — particularly for Custom builds. This covers adjustments, monitoring, and adding new knowledge or rules as your business changes. We'll discuss what makes sense for your situation during the discovery call.

A standard AI employee or automation workflow takes 2 to 4 weeks from discovery call to live deployment. Multi-workflow Growth builds take 4 to 6 weeks. Custom scope projects vary. We'll give you a specific timeline after the discovery call, and we stick to it.

It's a 30-minute call with no sales pressure. We'll understand your current workflow, identify what's costing your team the most time, and assess whether an AI employee is the right fix. You'll leave the call knowing exactly what we'd build, roughly what it would cost, and whether we're a good fit. Book a 30-minute call.

Less than you'd expect. We do the technical heavy lifting. We'll need you to share information about your business — your services, policies, common customer questions, and how you currently handle things. That usually takes one or two sessions. After that, we build, test, and deploy. You review and approve before anything goes live.

We test through real customer scenarios before deployment — including edge cases, unusual phrasings, escalation triggers, and failure conditions. You'll see the system in action before it's live and can request any changes. Nothing launches until you're satisfied with how it handles real situations.

Yes. Common integrations include Google Calendar, email platforms, CRM systems (HubSpot, Zoho, etc.), Calendly, and scheduling tools. If you use a specific platform, mention it in the discovery call and we'll confirm whether it's supported and how it would connect.

Currently: web chat widget and email. Depending on your package and requirements, we can also support SMS. Voice is not currently available. We'll confirm which channels make sense for your business during the discovery call.

Yes. All conversations are logged, and the system can sync lead information and customer data to your CRM or internal database. This means your team always has context on a customer without needing to re-read a chat thread. Specific CRM sync behaviour is configured per deployment.

All data is handled with full confidentiality. We don't sell, share, or use your customer data for any purpose other than operating your AI employee. Data storage follows our Privacy Policy. If you have specific compliance requirements (HIPAA, GDPR, etc.), discuss them with us during onboarding — we'll design accordingly.

Kaivix Labs is based in the United States. We serve clients globally — primarily across North America, the UK, and the Middle East — and work remotely across time zones. All communication is in English and we're available via email and Calendly.

We design AI employees with deterministic logic — meaning the AI only generates natural language, while all decisions (what to say, when to escalate, what information to provide) are controlled by Python rules your business defines. This minimises the risk of incorrect or hallucinated responses. We also test extensively before deployment. If an incorrect response occurs post-launch, it gets corrected in the next update cycle.

Escalation triggers are configured per business — common triggers include: payment disputes, medical emergencies, complaints that require empathy beyond standard responses, questions outside the knowledge base, or any situation where the customer explicitly requests a human. Escalations come with a full conversation summary so your team doesn't have to ask the customer to repeat themselves.

We don't make blanket guarantees because every business and workflow is different. What we do guarantee is that the system will be tested until it performs correctly before going live, and that we'll iterate with you if something isn't working. Two of our three current client deployments (Aion Lab and Atom Medicals) produced measurable results within the first 30 days; our third, Lumina Shades, is live but hasn't reported results yet. We'll be transparent about what's realistic for your specific use case.

Book a 30-minute discovery call. It's free, no commitment, and you'll leave with a clear picture of whether this is right for your business. Alternatively, email us at brayiron@kaivixlab.com.

We respond to all emails within one business day. For urgent enquiries, booking a call directly on Calendly is typically the fastest way to reach us.

That's exactly what the discovery call is for. You don't need to arrive with a brief or a spec. Just describe the most painful part of your current workflow — the thing your team wastes the most time on — and we'll tell you honestly whether an AI employee can help, and what that would look like.