Build conversational call systems for defined service, intake, routing, and support workflows with clear transfer and human-ownership rules.
Voice AI answers calls, understands intent, and either resolves the call or routes it to the right person with context attached. Luminous builds these with LiveKit and ElevenLabs, integrated to your calendar and CRM so bookings land directly. Fixed price from $999 to $15,000, delivered in 2 to 24 weeks depending on scope.
| If you need | Use |
|---|---|
| Calls are missed outside hours or during busy periods | Voice AI |
| Enquiries arrive by message rather than phone | AI systems and automation |
| You need intake qualified before a person picks up | Voice AI with AI revenue systems |
| Call volume is under roughly twenty a week | An answering service is cheaper |
The engagement starts with the operating problem, users, constraints, and evidence required to make a sound technical decision.
Clarify the workflow, users, constraints, and outcome before selecting technology.
Decide what should be built, integrated, automated, or deliberately left unchanged.
Treat security, accessibility, failure states, maintainability, and operating cost as delivery requirements.
Document decisions, demonstrate working increments, and make post-launch responsibilities explicit.
The process stays visible so business context and technical implementation do not drift apart.
Map the current workflow, user needs, constraints, existing systems, and success criteria.
Define the experience, architecture, scope, sequence, and decisions that need validation.
Deliver working increments and test the important paths before expanding scope.
Deploy with ownership, monitoring, documentation, and a clear next-iteration plan.
Post-launch work can cover monitoring, maintenance, optimization, training, or continued product development where it creates clear value.
We select tools based on the workflow, existing environment, security needs, team capability, operating cost, and expected lifespan.
Use these guides and services to evaluate the surrounding website, search, advertising, intake, and measurement work.
Apply the same qualification and escalation rules to chat.
The supervised-agent foundation behind both voice and chat.
See how discovery, architecture, build, verification, and launch stay connected.
Review products and systems delivered across different business contexts.
Share the workflow, product, or operating constraint you need to improve.
It is a good fit when a defined product, workflow, customer, or operating problem needs senior technical judgment and production delivery. Discovery is used to confirm whether this capability is necessary and where its boundary should be.
Yes. We can improve, integrate, or replace only the parts creating material risk or friction. A full rebuild is recommended only when the evidence supports it.
Scope follows the users, workflows, integrations, risks, and verification required. After discovery, we provide a phased plan with assumptions, decisions, responsibilities, and a realistic delivery range.
We evaluate the existing environment, security and privacy needs, team capability, operating cost, maintainability, performance, and expected lifespan. Technology follows those requirements.
We establish ownership, documentation, monitoring, and the next review point. Ongoing support can include maintenance, optimization, training, or continued development where it creates clear value.
Yes. Many useful systems combine product design, software engineering, AI, automation, infrastructure, and growth work. We organize those capabilities as one coherent system rather than separate vendor workstreams.
We will help define the sensible next step, including when a smaller intervention is better than a full build.
