Conversational AI & Assistants

Conversational AI & Assistants

Assistants that actually help — grounded in your knowledge and systems, honest about what they don’t know, and safe to put in front of customers and staff.

A generic chatbot erodes trust faster than it saves cost

Bolting a raw LLM onto an FAQ produces a confident liar. Enterprise conversational AI has to be grounded in real knowledge, integrated with real systems, and disciplined about escalation — or it damages the brand it was meant to help.

Grounded, not hallucinated

Answers come from your content and data via retrieval, not the model’s imagination.

It has to act, not just chat

Real value is checking an order, booking a slot, opening a ticket — connected to your systems.

Know when to hand off

A good assistant escalates gracefully instead of guessing on high-stakes questions.

Retrieval-grounded assistants with a human handoff

We build conversational AI on a retrieval foundation so answers are grounded in your actual knowledge base, connected to your systems via tools so the assistant can do things, and designed to hand off to a human the moment it should. Deployed across chat and voice, with the guardrails to run in production.

Retrieval Grounding (RAG)

Answers sourced from your content and data, with the discipline not to invent.

Tool & System Access

The assistant can look things up and take actions in your systems, not just talk.

Voice & Chat

One assistant across web, messaging, and voice channels.

Graceful Escalation

Clean handoff to a human with full context when it matters.

Guardrails

Scope, tone, and safety controls tuned to your brand and risk appetite.

Analytics

See what people ask, where the assistant helps, and where it should improve.

What you get

Deflection that doesn’t backfire

Handle routine volume without frustrating customers.

Always available

Consistent help across time zones and after hours.

Grounded answers

Responses tied to your real knowledge, not model guesswork.

Actions, not just answers

The assistant resolves, not just responds.

Brand-safe

On-tone, in-scope, and honest about its limits.

Continuously improving

Real conversation data drives ongoing refinement.

Recently shipped

Real, in-production work. Clients are described by sector and scale, per NDA — we don't publish numbers we can't stand behind.

On this site

The chat assistant on cone.red is one of ours — retrieval-grounded, tool-calling, and gated to a verified knowledge base so it won’t fabricate figures. Try it.

Built on our RAG stack

The same retrieval and evaluation discipline that powers our document and GEO work underpins every assistant we ship.

Want an assistant that helps instead of hallucinates?

How we work

Feasibility in weeks, production in a quarter — not a nine-month science project.

1

Step 1: Feasibility

Define the use cases, the knowledge sources, and the escalation rules.

2

Step 2: Build & Evaluate

Ground the assistant, connect the tools, and test answer quality against real questions.

3

Step 3: Deploy

Launch across your channels with guardrails and human handoff live.

4

Step 4: Operate & Improve

Mine real conversations to close gaps and expand what the assistant can do.

Let's Start Your AI Journey

Ready to transform your business with AI? Get in touch with our experts for a free consultation.

Quick Response

We'll get back to you within 24 hours

Location

Sheridan, WY, USA • Barcelona, Spain • Lisbon, Portugal

Why Choose CONE RED?

  • AI R&D lab & venture builder — production systems, not slideware
  • Feasibility in 6 weeks, production in ~90 days
  • Accuracy measured and evaluated — never invented or guaranteed
  • Real engagements across financial services, healthcare & retail
  • End-to-end support from strategy to deployment
90 days
To production
6 weeks
Feasibility sprint
Fortune 100
In production

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