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.
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Tickets arrive and the chatbot answers what your documents cover. Anything else goes to your team, with the context attached.
Sound familiar?
The problem, and what we do about it.
- Your support team answers the same questions 50 times a day
AI chatbot trained on your docs resolves repetitive queries instantly
- Customers wait hours for simple answers
12-second average response time, 24/7, in any language
- Generic chatbots hallucinate and give wrong answers
RAG pipeline grounds responses in your actual data — says 'I don't know' instead of guessing
- You tried a chatbot before and it embarrassed your brand
Guardrails, content filters, and human handoff prevent every failure mode
- AI costs spiral out of control as usage grows
Intelligent model routing cuts costs 60-75% without quality loss
Process
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.
What you get
Clear scope, clear price.
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, 73% on average, reducing average response time from hours to seconds.
- Knowledge base setup
- RAG pipeline
- Chat UI
- Guardrails
- 30-day support
- Admin dashboard
From the Blog
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FAQ
Common questions.
Have you actually built one of these yourselves?
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.
Do I need a custom build, or would an off-the-shelf chatbot work?
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.
How long does it take to build an AI chatbot?
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.
Which AI models do you use?
Premium models for complex queries and smaller ones for simple queries, with intelligent routing between them. We work with OpenAI, Anthropic and open-source models based on your requirements.
What if the chatbot can't answer a question?
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.
How much does it cost to run monthly?
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.
Can it integrate with our existing support tools?
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.
Let's build.
Tell us about your project. We respond within 24 hours with clear next steps.
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