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Your proprietary knowledge is bottlenecked on 2–3 senior people — new hires take weeks to ramp up. Generic AI tools hallucinate because they do not know your terminology. A domain-trained AI copilot, powered by your own documents, answers like your best expert 24/7 in Slack, Teams, and WhatsApp. Deployed in 2 weeks.
2-week scoped pilot. Delivered to production. Measurable ROI on day 14.
These are the operational bottlenecks that AI automation eliminates in a 2-week pilot.
Every internal query goes to the same 2–3 senior people — creating a bottleneck that slows down every new hire, every client request, every operational decision
Your team has tried ChatGPT and generic AI tools — they hallucinate answers because they do not know your proprietary terminology, your internal rules, or your jurisdiction-specific regulations
Hiring a knowledge manager costs $2,000–$4,000/month for one person working business hours. Enterprise tools like Glean and Guru cost $10–$20/user/month and give you search results, not conversational answers
A domain-trained AI copilot powered by your own knowledge base — SOPs, product catalogs, process manuals, and training materials ingested into a vector database. The copilot retrieves relevant chunks and generates cited answers. A new hire asks "what is our refund policy for international orders?" — the copilot answers instantly with the exact policy paragraph and a link to the source document. Domain vocabulary, acronyms, internal rules, and jurisdiction-specific regulations trained into the retrieval and generation layers. Multi-language: Spanish queries get Spanish answers with Spanish sources. Deployed in Slack, Teams, and WhatsApp — where your team already works. Admin panel for reviewing responses, marking good/bad answers, and adding new knowledge sources — no code required. Accuracy >90% on domain questions. You own the copilot and the knowledge base (Apache 2.0).
Every 2-week pilot includes these five modules — delivered, tested, and ready to use.
SOPs, product catalogs, process manuals, training materials ingested into a vector database (Supabase pgvector, Pinecone, or Weaviate). Copilot retrieves relevant chunks and generates cited answers. 100% of answers include source document references.
Domain vocabulary, acronyms, internal rules, and jurisdiction-specific regulations trained into retrieval and generation layers. The copilot "speaks your language" — legal terms for law firms, medical terms for clinics, logistics terms for shipping.
Copilot answers in the language of the query. Spanish queries: Spanish answers with Spanish sources. English queries: English answers. Source documents in either language are cross-referenced. Full 22-locale support.
Deploy the copilot where your team already works. Inline queries, threaded conversations, source citations in every response. No new app to install, no new tab to open.
Web-based dashboard: review copilot responses, mark good/bad answers, add new documents, update terminology — without writing code. Accuracy audit of first 100 responses included. >90% accuracy target.
No long discovery phases. No open-ended retainers. A clear scope, a fixed timeline, a measurable result.
30–60 minutes. We identify the knowledge gap, primary use case, target users, and communication channels. By the end of the call, we can tell you whether this is a 2-week copilot deployment — and exactly what it would cost.
During scoping. You upload priority documents (SOPs, product catalogs, process manuals). We audit, organize, and ingest into the vector database. Minimum 10 priority documents. Written scope with fixed price — you approve before any work starts.
2 weeks. Your domain-trained copilot goes live. Day 5: answers first queries in Slack with source citations. Day 10: all channels live (Slack, Teams, WhatsApp) + admin panel. Day 14: accuracy audit delivered — manual review of first 100 responses.
We measure against agreed success metrics: query time reduction, answer accuracy (>90% target), source citation rate. Pre-copilot baseline vs. post-copilot result. Then scope Phase 2: more knowledge sources, new channels, custom integrations.
Full documentation, 60-minute recorded admin training, knowledge base update guide. Source code Apache 2.0. Optional retainer for ongoing knowledge base expansion and accuracy improvement.
Domain-trained RAG copilots answer internal queries 50–70% faster than manual expert consultation — same LangGraph + RAG pipeline proven in HunterX.
Pre-pilot: average time to get answer from senior person. Post-pilot: copilot responds in seconds with cited sources.
Manual audit of first 100 copilot responses rated "correct and complete" by domain expert review.
Slack, Teams, and WhatsApp — deployed where your team already works. No bottleneck, no business hours limit.
Book a free 30-minute discovery call and we will scope your first automation with clear deliverables and measurable outcomes.
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