Automate repetitive workflows with custom AI integrations.

Standard ChatGPT has broad internet knowledge but knows nothing about your company's confidential policies, pricing, inventory, or internal documents. Furthermore, public tools can hallucinate and leak proprietary data. A custom AI chatbot built by Aviance uses Retrieval-Augmented Generation (RAG): it is strictly grounded in your verified documents (PDFs, spreadsheets, website content, and FAQs). It answers with 100% factual accuracy, cites sources, respects your security boundaries, and seamlessly escalates complex inquiries to a human team member.

Yes, absolutely. We use commercial enterprise API agreements with providers like OpenAI and Anthropic, which explicitly legally guarantee that zero customer data submitted via the API is ever used to train or improve public models. All vector databases and document embeddings are encrypted at rest and in transit with SOC-2 compliant infrastructure.

Initial implementation costs range from $650 for a custom trained chatbot up to $2,500+ for complex multi-system workflow automations. Ongoing operational API costs (paid directly to OpenAI or Anthropic) are extremely economical: typical customer support bots cost between $5 and $30 per month in token usage, representing a massive cost reduction compared to hiring full-time support staff.

A targeted AI chatbot or single workflow automation takes between 2 to 3 weeks from kickoff to deployment. More complex enterprise automations involving multiple API integrations (CRM, billing, ERP, WhatsApp) take between 4 to 5 weeks. You will be able to test an interactive working prototype on a private staging link within the first 10 business days.

Yes! We do not just build conversational chatbots; we build autonomous "function-calling" AI agents. For example, our agents can qualify a lead, check your team's Google or Cal.com availability, book a meeting, create a deal in HubSpot or Salesforce, and send a confirmation email with calendar invites without requiring human intervention.

We implement multi-layered guardrails: 1) Strict RAG retrieval limits the model's context strictly to provided documentation; 2) System prompts explicitly instruct the model to state "I don't have verified information on that, let me connect you with a team member" rather than guessing; 3) Temperature settings are tuned to zero for deterministic responses; and 4) Automated evaluation suites test edge cases before deployment.

Yes. We build omni-channel automations that deploy across your website chat bubble, WhatsApp Business API, Slack, Microsoft Teams, and automated email inboxes. Your customers can reach you on their preferred platform while your team manages everything from a single unified workspace.

No. We provide an intuitive knowledge management dashboard or connect directly to a shared Google Drive or Notion folder. Whenever your team uploads a new PDF, updates an FAQ doc, or modifies a spreadsheet, our automated re-indexing pipeline parses the new content and updates the AI's vector database automatically.

Yes. Optical Character Recognition (OCR) combined with Vision LLMs allows our automations to parse unstructured PDF files, scanned receipts, purchase orders, and legal agreements. The AI extracts key fields (invoice numbers, dates, line items, totals) into clean, structured JSON and inputs them directly into your accounting software or database.

Whenever an inquiry falls outside the AI's knowledge base or detects frustrated customer sentiment, the agent executes an automated fallback. It collects the visitor's email/phone, captures the full chat transcript, and instantly pings your team via Slack, email, or CRM ticket so a live human can follow up immediately.