Service · AI
Custom
AI Assistant
An AI that knows your business, your data, your voice. Not a generic chatbot — a purpose-built assistant trained on your content and embedded where your team actually works.
Claude (Anthropic)
OpenAI GPT-4o
RAG
Slack / Web
Prompt Engineering
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The Problem
Generic AI Tools Don't Know Your Business
The Frustration
- ChatGPT gives generic answers, not answers about your policies
- Your team wastes time searching internal docs for basic info
- Customer questions go to a human when they don't need to
- Onboarding new hires takes weeks because knowledge isn't captured
- You're paying for tools that still require humans to operate
- AI you've tried doesn't understand your industry's terminology
With a Custom Assistant
- Answers grounded in your actual documents, SOPs, and data
- Team finds any internal information in seconds, not minutes
- Routine customer questions handled instantly, 24/7
- New hires ramp in days — they can ask the AI anything
- Handles the cognitive load so your team focuses on what matters
- Tuned to your domain, your tone, your workflows
24/7
availability — no human required
<3s
average response time from your knowledge base
∞
simultaneous conversations handled
Deployment Options
What Your AI Can Do
💬
Internal Knowledge Bot
Drop a bot into Slack or Teams. Team members ask anything — SOPs, policies, past decisions, product specs — and get instant, accurate answers.
🌐
Website Customer Assistant
A chat widget on your site that answers questions, qualifies leads, books calls, and handles FAQs — without a live agent.
🏥
Patient or Client Intake
An AI that guides users through intake questions, collects structured information, and routes to the right provider or team.
📊
Data Q&A Interface
Ask your data questions in plain English. "What was revenue last quarter by region?" — answered instantly without a SQL query.
📚
Onboarding Assistant
A dedicated AI companion for new hires that answers every question about process, culture, tools, and expectations — reducing ramp time dramatically.
⚙️
Ops Decision Support
An AI that surfaces relevant data, past precedent, and your own playbooks to help your team make faster, better-informed decisions.
What You Get
Deliverables
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✓
Use Case Design Session — We define the assistant's scope, persona, tone, and success criteria before building anything.
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✓
Knowledge Base Construction — Your documents, SOPs, FAQs, and data ingested, chunked, and indexed into a retrieval system (RAG architecture) for accurate, grounded responses.
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✓
Prompt Library & System Design — Carefully engineered system prompts and conversation flows that give the assistant your voice, your guardrails, and your expertise.
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✓
Integration & Deployment — Deployed in your environment: Slack bot, web widget, internal dashboard, or API endpoint — wherever your team works.
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✓
Evaluation & Red-Teaming — I test the assistant against edge cases, adversarial prompts, and real user scenarios before you go live.
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✓
Feedback Loop Setup — Thumbs up/down ratings, conversation logging, and a process for continuously improving the assistant over time.
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✓
30-Day Post-Launch Support — I monitor performance, refine prompts, and iterate based on real usage for a full month after go-live.
How It Works
The Process
1
Scoping & Design (Week 1)
Define the assistant's purpose, persona, knowledge sources, and integration target. Gather your documents, FAQs, and data.
2
Knowledge Base Build (Week 1–2)
Ingest and index your content into a vector database. Build the retrieval layer that gives the assistant accurate, grounded answers.
3
Prompt Engineering & Tuning (Week 2–3)
Craft and iterate on system prompts, conversation flows, and guardrails. You review and test sample conversations throughout.
4
Integration & Testing (Week 3)
Deploy into your chosen platform (Slack, web, API). Red-team testing and edge case hardening before release.
5
Launch & Iterate (Week 4+)
Go live with monitoring active. I track real usage, surface improvement opportunities, and refine throughout the 30-day support window.
🩺
Healthcare Practices
Patient intake, FAQ handling, internal clinical protocol lookup — with HIPAA-aware architecture.
💳
Financial Services
Client-facing assistants for common questions, or internal tools for compliance, product knowledge, and onboarding.
🚀
SaaS Startups
Customer support deflection, onboarding guidance, and internal ops assistants — before you have the headcount to scale manually.
Technology
Powered By Best-in-Class AI
🤖 Claude (Anthropic)
🧠 OpenAI GPT-4o
🔍 RAG (Retrieval-Augmented Generation)
📦 Pinecone / Weaviate / pgvector
🐍 Python / LangChain
💬 Slack API
🌐 Web Widget (React)
☁️ AWS / GCP / Azure
Custom AI Assistant
Project-based pricing · Scoped per use case and integration complexity
Ongoing fine-tuning and maintenance retainers available
$3,500+
Book a Free Discovery Call
Pricing depends on knowledge base size, integration complexity, and deployment target. Most projects range from $3,500–$9,000.