The Grounded Answers Engine
Answers Grounded in
What You Actually Know.
We build you a chatbot trained on your own documents — not the open internet. Every answer is pulled from your content, cited back to its source, and kept inside what you own. So it doesn't make things up.
The Problem
Generic AI Chatbots Create Three Risks You Cannot Afford.
Most AI chatbots are trained on the internet — not your business. They fabricate answers, give generic responses, and leave no audit trail. In a customer-facing context, that is not a feature gap. It is a liability.
They Make Answers Up
A general model fills gaps with confident, plausible, wrong answers. In front of a customer, that's worse than no answer at all.
They Know the Internet, Not Your Business
A generic AI has no idea about your pricing, your policies, or your process. Every answer is generic at best, misleading at worst.
They Can't Be Audited
When a customer disputes what the bot told them, there's no source, no record, and no way to correct it.
What We Build
A Chatbot That Only Answers From What You Have Given It.
Retrieval-Augmented Generation (RAG) means the chatbot retrieves relevant passages from your documents before generating any response. It cannot answer from outside those documents — by design.
Trained on Your Documents
We train it on your documents — your policies, guides, FAQs, and knowledge base become the only place it draws from.
Source-Cited Responses
We cite every answer — each reply links back to the exact document section, so you can audit it any time.
Hallucination Mitigation
We design it to admit gaps — when it can't find a grounded answer, it says so and offers to escalate, instead of guessing.
Deployed Where You Need It
We deploy it where you need it — website widget, CRM panel, member portal, or an internal team tool.
Auto-Updates With Your Content
We keep it current — when your docs change, the retrieval index updates automatically. No retraining cycle, no manual refresh.
Query Analytics Dashboard
We show you what people ask — a dashboard of real questions and escalations, so you can see your documentation gaps.
How We Deliver
From Your Documents to a Live Chatbot — In Weeks.
We Audit Your Documents
We review your documentation — what exists, what is missing, and what needs structuring before it can be ingested accurately.
We Build the Retrieval System
We build the vector database, chunk your documents, and configure the retrieval logic that powers accurate, scoped responses.
We Test for Accuracy
We test the chatbot against real questions from your team — reviewing every response for accuracy, scope, and citation quality.
We Deploy and Monitor
We deploy, monitor escalation patterns in the first two weeks, and tune retrieval thresholds based on live usage data.
Most chatbots go live within 2–4 weeks of kick-off.
Where We Deploy It
Three Contexts. One System Built for All of Them.
Customer-Facing Support
Handles FAQs, policy questions, and account inquiries on your website or member portal — around the clock, freeing your support team for higher-complexity interactions.
Internal Team Tool
Gives agents instant access to policy documents, pricing guides, and SOPs — without searching folders or asking a manager.
Sales Enablement
Surfaces the right product information, comparisons, and objection responses for your sales team — mid-call, in real time.
The Document-Grounded Build
Stop Guessing. Start Citing.
Trained exclusively on your content. Deployed on your infrastructure. Every answer traceable.
Starter
from $2,500
+ from $500/mo (AI Operations)
- Single knowledge base ingestion
- Website or internal widget deployment
- Source-cited responses
- Escalation routing for unanswered queries
- Query analytics dashboard
Growth
from $5,000
+ from $1,000/mo
Everything in Starter, plus:
- Multiple knowledge base sources
- CRM + member portal deployment
- Auto-updates when documents change
- Role-based access scoping
- Sales enablement configuration
Complete
from $7,500
+ from $1,500/mo
Everything in Growth, plus:
- Enterprise-wide document ingestion
- Custom retrieval tuning + fine-tuning
- Advanced compliance + audit logging
- Multi-language support
- Dedicated AI Operations management
Most teams spend more than this annually on support staff fielding questions your documentation already answers. One build recovers that cost.
The Savvy Promise
Every engagement, every build.
You own 100% of the chatbot, the retrieval index, and the deployment — on your own infrastructure, in your own accounts.
Hit the agreed accuracy benchmarks before go-live or we keep tuning at no extra cost.
Weekly demos, no black box — you review every answer pattern before it goes live with real users.
If your documentation is not ready to support a chatbot, we will tell you before you spend a penny.
Your data never leaves your infrastructure. Every answer is grounded in what you own.
The Prove-It Guarantee
If it can't answer your top 25 real questions accurately and with sources, we keep training it free until it does. Run it in parallel with your current support and cut over only when it's proven.
Start With a Free Knowledge Audit
We review your documentation, identify what a chatbot could handle immediately, and hand you a deployment blueprint with scope and cost estimate. Free. You keep the blueprint whether we work together or not.
No commitment · Blueprint yours to keep · Your data stays yours
FAQ
Frequently Asked Questions
What is a RAG chatbot?+
A chatbot grounded in your own documents. Every answer is retrieved from your data and cited back to its source, rather than generated from the open internet.
How do you prevent hallucinations?+
Responses are retrieval-grounded and scoped to your content. When no grounded answer exists, the bot escalates instead of fabricating one.
Where can it be deployed?+
On your website, inside your CRM, or in a member portal — wherever your staff or customers need grounded answers.