We focus on the categories where evaluation is feasible — meaning we can prove the system works, not just hope it does. If your problem doesn't have a measurable success state, we'll tell you upfront.
Different business problems need different architectures. We build four main types, each suited to specific use cases — and we will tell you which one fits yours before the project starts.
| Type | Best for | Complexity | Typical timeline |
|---|---|---|---|
| FAQ / retrieval chatbot | Knowledge bases, product docs, support deflection | Low | 2–3 weeks |
| Lead generation chatbot | Capturing and qualifying inbound leads | Low–Medium | 2–4 weeks |
| Transactional chatbot | Bookings, orders, payments within the chat | Medium | 4–6 weeks |
| Conversational AI agent | Multi-step workflows, CRM integration, memory | High | 6–10 weeks |
Most clients start with a retrieval or lead generation chatbot and upgrade as they see results. We build with that evolution in mind — the architecture supports adding capabilities without a rewrite.
Anyone can wire OpenAI to a frontend. The hard parts come later — model switching, eval pipelines, observability, cost control. Below is what we reach for first, and why. We swap when there's a real reason.
AI projects fail in week one or week ten. We front-load the failure modes — data audit, eval baseline, cost & latency targets — so by the time we ship, you know exactly what you're getting and what it costs to run.
Production AI without evals is hope wearing a deployment. Every Woyce build ships with eval pipelines, safety probes, and observability — the three things that turn a demo into a system you can trust.
Built a grounded, citation-first RAG assistant on a 12,000-document knowledge base. Hallucination rate under 2%, fully deployed in 10 weeks, in production with 85,000 monthly users.
Built a multi-step agent that enriches, scores, and routes inbound leads through five tools. Replaced a 4-hour SDR triage process with a 3-second one. Handles 1,200 leads daily.
Built a structured extraction pipeline for invoices, contracts, and purchase orders — typed JSON output, every time. Processes 8,000 documents monthly at 99.2% field-level accuracy.
A simple FAQ or retrieval chatbot takes 2–3 weeks. A transactional chatbot with CRM integration typically takes 4–6 weeks. A full conversational AI agent with memory and multi-step logic runs 6–10 weeks.
We deploy across web chat, WhatsApp Business API, Slack, SMS, and email. Multi-channel deployment is handled from a single backend — you manage one conversation flow, not five separate ones.
Most chatbots are powered by retrieval over your existing documents (FAQs, product docs, knowledge base). Fine-tuning on proprietary data is available for high-volume or specialist use cases but is not always necessary.
We build explicit fallback and human handoff logic into every chatbot. The agent can escalate to a live agent, log the unanswered query, or send a follow-up email — whichever fits your support workflow.
Yes. We integrate with HubSpot, Salesforce, Zendesk, Intercom, and custom systems via API. The chatbot can read customer records, log conversations, and update fields in real time.
Simple retrieval chatbots start at $3,000–$5,000. Transactional chatbots with integrations run $5,000–$12,000. Full conversational AI agents with memory and multi-channel support are $10,000–$25,000+. We provide a fixed-price quote after the discovery call.