Services
AI business operations integration, organized into the pieces companies actually use.
The flagship system connects reception, website assistance, lead capture, scheduling support, Supabase-backed business data, internal employee assistance, and guardrails.
Right-Sized Private AI Systems
Right-Sized Private AI Systems helps small businesses decide whether a task belongs on a small local model, a private knowledge assistant, a larger private workstation, a cloud model, or a hybrid setup. Onyx AI Studio starts with the work, the data, the privacy need, the budget, and the expected workload, then builds the smallest reliable AI system that can handle the job.
- A right-sized AI plan instead of defaulting every workflow to a large cloud model
- Private knowledge assistants that answer from company documents, SOPs, policies, and examples
- Local, cloud, or hybrid deployment choices based on the actual workload
- A clearer path for when small models, RAG, adapted models, or larger private hardware make sense
AI Business Operations Integration
AI Business Operations Integration installs AI into the way a company already handles calls, website visitors, leads, scheduling, documents, and staff questions. The service maps the existing workflow first, then connects voice agents, website assistants, forms, summaries, follow-up status, company knowledge, and permissions into one managed operating layer. Retell powers the voice and conversation layer, while Supabase supports the business data and knowledge layer. Onyx AI Studio designs the strategy, implementation, guardrails, workflows, testing, and ongoing management.
- 24/7 call and website handling without making AI the whole business
- Structured leads, call summaries, website summaries, and follow-up status
- A company knowledge layer that public and internal assistants can use with different permissions
- Clear escalation rules for pricing, emergencies, scheduling limits, warranties, and sensitive questions
Reception + Website Assistant
The public-facing assistants handle customer entry points without pretending to replace the whole front office. The phone receptionist can answer calls, qualify needs, request appointments, and summarize conversations. The website assistant can answer service questions, guide visitors, capture lead details, and start callback or scheduling flows from the same approved business knowledge.
- Fewer missed calls and abandoned website visits
- Lead details captured with source, urgency, notes, and follow-up needs
- Call and website conversation summaries routed to staff
Internal Business Assistant
The internal assistant is separate from public customer-facing agents. It helps employees ask questions against company files, SOPs, pricing guidance, service rules, call summaries, lead records, and policies with tighter permissions and stronger guardrails.
- Faster answers from company documents and procedures
- Staff visibility into leads, call summaries, and follow-up needs
- Clear separation between public customer answers and internal business knowledge
Guardrails + Knowledge Systems
Guardrails are part of the premium value. Onyx AI Studio defines what the assistants can answer, what they should avoid, when they should escalate, how they handle sensitive information, and how they stay grounded in company-approved files and records.
- Pricing, warranty, refund, scheduling, and emergency boundaries
- Public and internal data separation
- Reduced hallucination risk through document-based answers and confidence limits
Lead Follow-Up + Workflow Automation
Automation work is no longer a separate generic offer. It supports the AI business system by moving the data captured from calls and website conversations into the right follow-up path, staff notification, status field, or reporting view.
- Lead, summary, appointment, and follow-up workflows that run reliably
- Human review points where judgment or sensitivity matters
- Clear logs and fallback paths for operational trust
Business Website + Lead Capture Layer
Web development is framed as the front-end layer of the AI business system. The site should explain the business, convert demand into structured leads, support the website assistant, and give customers a clear path to request help.
- Next.js sites with clear routing, metadata, and deployment readiness
- Responsive interfaces that work across phone and desktop
- Lead capture surfaces that feed the operations system
Demand Generation Content System
SEO is not positioned as a standalone commodity package. It is the source material and demand layer that helps customers understand the business, arrive with better intent, and enter a lead capture workflow that the AI business system can handle.
- Service and case study silos that support topical authority
- Structured data, sitemap, robots, and llms.txt foundations
- Answer-ready passages for AI search and customer-facing assistants
System map
Messy demand becomes an operating layer.
The service model is simple: collect business inputs, structure them safely, then route the next action to the right person or assistant.
Inputs
1- Calls
- Website leads
- Quote details
- Company files
Structure
2- Lead records
- Knowledge sources
- Guardrails
- Handoffs
Actions
3- Summaries
- Scheduling
- Follow-up
- Internal answers