LIVE · Customer Experience · Contact center systems · Frontline AI

Resolve tickets 60 to 80% faster. RAG that works in production.

RAG-grounded agent assist, voice automation, and frontline deflection for contact centers and CX leaders who need measurable outcome shifts, not chatbot vanity metrics. Integrates with Zendesk, Freshdesk, Intercom, Salesforce Service Cloud, Genesys, Five9, and Twilio Flex.

In production at a multi-tenant SaaS contact-center deployment. Reference shared on a private diligence call.

Free call. No sales script. 24-hour reply.

Multi-tenant SaaS contact-center · Zendesk · Freshdesk · Intercom · Salesforce · 60 to 80% faster ticket resolution

// 02/WHY YOU’RE HERE

You’ve tried RAG before. It hallucinated.

Ticket volume scales linearly with growth. Hiring more agents costs money and degrades quality. Off-the-shelf chatbots deflect easy queries and leave the hard ones for the same overworked team. The math doesn’t work past a certain scale.

RAG-based support tools fail in production. Demos look great. Production hits the wall on hallucinations, edge cases, and brand-voice drift. Many CX teams have tried at least one RAG vendor and quietly turned it off after three months.

Agent enablement is fragmented across tools. Knowledge bases, ticketing systems, voice platforms, and CRM each have their own search interface. Senior agents stitch context together manually. Junior agents miss it entirely.

// 03/WHAT WE SHIP FOR CX

Two systems. Production-grade RAG that doesn’t fail in deployment.

01
Frontline Agent Assist and Deflection
RAG-grounded retrieval, response generation, and ticket triage built for production scale. 60 to 80% faster ticket resolution in SaaS-volume deployments. Brand-voice tuned, audit-logged, deployed alongside your existing helpdesk.
Powered by our Conversational RAG System →
02
Customer Operations Automation
For CX teams owning broader operational surface (claims handling, policy servicing, frontline transactions), our Autonomous Operations System orchestrates end-to-end flows with human checkpoints at decision gates.
Powered by our Autonomous Operations System →

// 04/WHAT CX SYSTEMS PRODUCE

Two measured outcomes from production deployment.

01
60 to 80% faster
Ticket resolution time
Conversational RAG System, deployed at SaaS volume
02
30 to 50% deflection
Eligible Tier-1 ticket volume routed to self-service or auto-resolution
Conversational RAG System, deployed at production scale

Multi-tenant SaaS contact-center deployment.

Production RAG across a multi-tenant SaaS contact-center deployment. Brand-voice calibrated per tenant, audit-logged at the response level, deployed alongside the customer's existing helpdesk and CRM. Client reference available on a diligence call.

Directional ranges from delivered work and internal benchmarks. Specific numbers shared with qualified buyers on diligence calls. Results vary by workflow, data quality and adoption.

// 05 · let’s talk

Rebuilding after a previous RAG vendor failed?

Reply within 24 hours, often much faster
Free 30-minute call. No sales script.
Honest scope and timeline, including when we’re not the right fit

// 06/QUESTIONS CUSTOMER EXPERIENCE BUYERS ASK

Common questions.

01We’ve tried RAG before and it hallucinated. How is yours different?

Most production failures come from three sources: weak retrieval (the model can’t find the right answer), no evaluation harness (you don’t know it’s wrong until a customer complains), and no escalation path (the system tries to handle queries it shouldn’t). We treat all three as architecture problems, not prompt-engineering problems. Our deployments include retrieval quality monitoring, hallucination detection, and explicit escalation gates. The system declines to answer when confidence is low, and routes to a human.

02How do you handle brand voice?

03What helpdesk and CRM platforms do you integrate with?

04How long until we see deflection in production?

05Who owns the trained model and the data it’s been tuned on?

06Can we run this alongside our existing chatbot or RAG vendor?

Senior engineers. Production from day one.