BlokMiners Services
We harness the power of AI and blockchain to transform business operations and drive innovation across your entire stack.
AI That Knows Your Business, Not Just the Internet
Not a generic bot. An AI trained on your products, policies, pricing, and history — deployed where your customers and team actually need it. The gap between a generic chatbot and a genuinely useful AI assistant is the difference between training on the public internet and training on your specific business data. Generic chatbots fail because they don't know your return policy, your product specifications, your pricing tiers, or your company-specific processes. We build RAG-based (Retrieval-Augmented Generation) AI assistants that ground every response in your actual documentation, knowledge base, CRM data, and support history. The result is an AI that answers correctly — not plausibly — and that gets more accurate over time as your knowledge base grows.
handle tier-1 queries (order status, product questions, policy lookups, troubleshooting) with accurate, policy-compliant responses and smart escalation to human agents
AI that your team can query for HR policies, IT procedures, product documentation, and compliance guidelines — finding information in seconds instead of searching document folders
engage inbound leads, ask discovery questions, qualify against ICP criteria, and book meetings with qualified prospects directly into your calendar
guide new employees through company processes, answer questions about tools and policies, and surface the right documentation at the right moment
trained on your regulatory obligations, contractual requirements, and internal policies — providing accurate, auditable answers to compliance questions
conversational AI that understands customer needs through dialogue and recommends the right product or service from your catalogue
We audit your existing documentation, knowledge base, support tickets, and FAQs. We define the knowledge structure and select the right vector database and embedding model for your use case.
We build the RAG pipeline, ingest your data, set up the retrieval layer, and configure the response generation model with your tone of voice and policy guardrails.
We run adversarial testing — asking the questions that expose weaknesses. We measure accuracy against a golden test set, tune retrieval parameters, and implement fallback handling for edge cases.
Live deployment with monitoring dashboards showing query volume, resolution rate, escalation rate, and user satisfaction. Monthly performance reviews with tuning recommendations.
We implement retrieval-grounding (the AI can only answer from your approved knowledge base), confidence thresholds (low-confidence responses escalate to humans), output filtering, and regular accuracy auditing. We set benchmarks and measure against them.
Get a focused roadmap, timeline, and execution plan from our senior team in one discovery call.
30-minute call. No obligation. Practical next steps included.