An AI chatbot that actually resolves tickets — not just deflects them.
We build production-grade AI chatbots powered by your company data. RAG pipelines, guardrails, and human handoff — not a generic ChatGPT wrapper.
73%
tickets resolved without humans
12s
avg response time (was 4 hours)
60%
support workload reduction
$100-500
monthly AI infrastructure cost
The Problem
Sound familiar?
How It Works
Our process.
01
Knowledge Ingestion
We ingest your docs, FAQs, help center, and product data into a vector database. 500-token chunks with semantic search.
02
Pipeline Build
RAG retrieval + LLM generation + streaming chat interface. Tested against 100+ real customer queries.
03
Guardrails
Input classification, output validation, hallucination prevention, competitor filtering, and human handoff triggers.
04
Launch & Monitor
Deploy with analytics dashboard, cost tracking, accuracy metrics, and feedback collection. 30-day support included.
The Details
What you get.
Most AI chatbot implementations fail because they're built without retrieval architecture, guardrails, or fallback strategies. We build chatbots that learn from your documentation, answer with your data, and know when to escalate to a human. We don't just build these for clients — we build and operate AskOrac, our own AI chatbot SaaS, running RAG pipelines, confidence-based routing, and human handoff in production every day. Our implementations resolve 60-75% of support tickets without human intervention, reducing average response time from hours to seconds.
Investment
$15,000 – $40,000
AI Chatbot — Fixed Price
Knowledge base setup, RAG pipeline, chat UI, guardrails, 30-day support, admin dashboard
Get a QuoteDeep Dives
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FAQ
Common questions.
Yes — we build and operate AskOrac (askorac.com), our own AI chatbot SaaS, in production. Every technique we implement for clients — RAG retrieval, confidence-based escalation, guardrails, human handoff, multilingual support — runs live in our own product first. You're hiring the team behind a working AI chatbot platform, not an agency assembling one for the first time.
It depends on your requirements. If you need a chatbot trained on your docs with standard widget deployment, our own product AskOrac may cover you from $29/month — we'll tell you honestly if that's the better fit. A custom build makes sense when you need deep integration with internal systems, custom workflows, on-premise deployment, or behavior no SaaS product supports.
3-4 weeks from kickoff to production. Week 1: knowledge ingestion. Week 2: pipeline and chat UI. Week 3: guardrails and testing. Week 4: launch and monitoring setup.
GPT-4o for complex queries, GPT-4o-mini for simple ones, with intelligent routing between them. We also support Claude and open-source models based on your requirements.
It escalates to your human support team with full conversation context. The handoff is seamless — the customer doesn't start over. We also log unanswered questions so you can expand the knowledge base over time.
For a product with 10,000 active users, typical monthly infrastructure costs are $100-500 depending on query volume and model mix. We implement cost controls and model routing to keep this predictable.
Yes. We integrate with Zendesk, Intercom, Freshdesk, Slack, and custom ticketing systems. The chatbot can create tickets, update statuses, and pull customer data from your existing tools.
Ready?
Let's build.
Tell us what you're building. We'll respond within 24 hours with a scope, timeline, and fixed price.
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