AI — but only where it makes the conversation better

Conversations that feel human, operated by AI that works.

LLM-driven conversational flows on WhatsApp, RCS, SMS and Viber. Intent recognition, contextual answers, seamless handoff to human agents, and continuous learning from every conversation. Built by people who have been running enterprise messaging for over a decade and know where AI helps — and where it fails.

The problem we solve

AI chatbots that frustrate customers are worse than no chatbot.

Most "AI chatbots" are rule-based scripts with a language model bolted on. They lose context, hallucinate answers, and escalate poorly. Done well, conversational AI deflects 40–70% of support volume and drives measurable sales conversion. Done badly, it erodes trust and pushes customers to competitors. The difference is in the design, the training data, the evaluation loop, and the handoff logic — all things we build with you, not around you.

LLM-powered natural language understanding with grounded, domain-specific knowledge
Confidence-based handoff to human agents when the AI is uncertain — not when the customer is frustrated
Conversation analytics that show what the AI resolved, what it escalated, what it got wrong
Continuous fine-tuning from real conversations, respecting privacy and consent

How it works

From setup to scale, in four steps.

Scope & data

We map use cases, ingest your knowledge base and past conversations, and define deflection goals per intent.

Build

Conversational design, prompt engineering, guardrails, integration with your CRM, booking, inventory or custom systems.

Pilot

Shadow mode first, then a limited live pilot with human oversight. Daily review and iteration for the first weeks.

Scale

Full rollout with ongoing evaluation, confidence thresholds, retraining cadence, and executive-level reporting.

What you get

Built for teams that care about results.

LLM-powered understanding

Modern large language models with retrieval-augmented generation grounded on your actual content. No wild hallucinations.

Multichannel out of the box

Same conversational brain on WhatsApp, RCS, SMS and Viber. Channel-native formatting, unified context.

Agent handoff with context

When the AI is unsure or the customer asks, we route to a human with full transcript, detected intent, and suggested next action.

Guardrails and compliance

Topic filters, PII redaction, response length limits, regulated-sector templates — AI stays on brand and in bounds.

Analytics and conversation intel

Deflection rate, CSAT, containment, escalation reason, emerging topics. Data that actually drives roadmap.

Model-agnostic architecture

We support Anthropic Claude, OpenAI GPT, open-weight models and on-prem deployments. Pick what fits your compliance posture.

Use cases

Where this makes the biggest difference.

Customer support deflection

Handle FAQ, order status, returns, appointment rescheduling on WhatsApp or RCS. Escalate to human agents only when needed — typically 30–40% of conversations.

Conversational commerce

Product discovery, recommendations, cart assembly and checkout inside the messaging thread. Measurable lift on conversion vs web-only flows.

Lead qualification

Qualify inbound interest with a short conversational flow, hand off qualified leads to sales with full context and a warm summary.

Appointment and booking flows

Schedule, reschedule and confirm appointments in natural language. Integrates with Google Calendar, Outlook, Booking engines and proprietary PMS.

Technical integration

Not a black box. A conversational platform you can audit.

We deploy on our orchestration layer or inside your environment, depending on compliance needs. Every conversation is logged, every decision is traceable, every prompt and tool call is visible to your team. You can retrain, tune or swap models without re-integrating.

Orchestration layer with intent detection, tool use, and retrieval-augmented generation
Connectors to CRMs (Salesforce, HubSpot, Zendesk), e-commerce (Shopify, Magento), custom APIs
PII redaction and prompt-injection defenses built into the request pipeline
Evaluation harness for regression testing new prompts and models against labelled conversations
On-prem or private-cloud deployment available for regulated sectors
Full audit log of prompts, completions, tool calls and agent actions

Industry fit

Verticals that rely on this solution.

Retail & E-commerce Banking & Finance Healthcare Telecommunications Marketing Agencies

FAQ

Frequently asked questions

Which LLMs do you use?

We are model-agnostic. We commonly deploy Anthropic Claude and OpenAI GPT for quality, and open-weight models like Llama or Mistral for on-prem or cost-sensitive scenarios. We help you choose based on latency, cost, privacy and quality targets — and we can swap models later without re-integrating your systems.

How do you prevent hallucinations?

We use retrieval-augmented generation grounded on your own content, strict system prompts with allowed-topic constraints, tool-use for anything factual (inventory, order lookup, booking), and evaluation gates before release. Hallucinations are not eliminated entirely, but they are measured, bounded, and acceptable for the use cases we target.

Can the AI handle my language and dialect?

Modern LLMs handle over 40 languages natively, including Italian, Spanish, Portuguese, Greek, Arabic, Hindi and most European languages. We test per language and tune where needed — especially for domain-specific terminology or regional dialects.

How fast can we go live?

A production-ready pilot typically runs 4–8 weeks depending on scope, data availability and integration complexity. The first 2 weeks are design and data ingestion; the rest is build, evaluate, and refine before live rollout.

How do you measure success?

We define deflection, containment, CSAT, and conversion targets during scoping. Weekly reviews track actual vs target, and we flag drift. Typical outcomes after 3 months: 30–60% volume deflection, 10–30% sales uplift on conversational commerce flows.

What about privacy and GDPR?

We run PII redaction on prompts, control data retention windows, support deletion requests, and can deploy fully on-prem or in an EU-only private cloud. For regulated sectors (banking, healthcare), we design the compliance posture with your DPO before go-live.

Let's talk about ai conversational messaging.

Share your volumes, your region, your integration constraints. We reply within one business day with a concrete plan.

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