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AI & Agentic Automation

From always-on chatbots to autonomous AI agents on your contact center.

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From always-on chatbots to autonomous AI agents, RACube designs, builds and deploys intelligent automation on your contact center - resolving customer conversations and getting real work done.

Four connected practices, one AI platform

AI chatbots that resolve around the clock, custom Google Vertex AI models, Amazon Lex voice and text bots, and agentic AI that carries work end-to-end - four practices that connect under one RACube AI platform to turn customer conversations into outcomes.

RACube AI & Automation Services
RACube AI Platform
AI Chatbot
Always-on conversational self-service across web, chat & messaging
Google Vertex AI
Custom ML models, GenAI & Gemini-powered intelligence
Amazon Lex
Voice & text bots with natural language understanding
Agentic AI
Autonomous agents that reason, decide & act end-to-end
The four AI services and how they connect under one RACube AI platform.

How this fits with your contact center & CCaaS offering

RACube isn't a newcomer bolting AI onto an unfamiliar problem. We already architect, deploy and run contact centers on Genesys Cloud, Amazon Connect, NICE CXone and Zoom - and integrate them with Salesforce and your back-end systems. These AI services are the intelligence layer that sits on top of that same stack, so customers get one partner for both the platform and the AI that runs on it.

How RACube AI Plugs Into Your Contact Center & CCaaS
Customer channels
Voice
Web chat
WhatsApp
SMS
Email
Social
RACube AI & Automation layer
AI Chatbot
Google Vertex AI
Amazon Lex
Agentic AI
Contact center / CCaaS platforms - RACube's core expertise
Genesys Cloud
Amazon Connect
NICE CXone
Zoom Contact Center
Systems of record & fulfilment
Salesforce CRM
Knowledge base
Databases & APIs
Workflows & automation
Agents work smarter
Context, assist, automation
Analytics & insight
CX metrics, call drivers
The AI layer plugs into RACube's existing contact center / CCaaS platforms and systems of record.
Service 1 - AI Chatbot

AI Chatbot - always-on conversations that actually resolve

Your customers expect instant answers at any hour. RACube builds intelligent chatbots that understand natural language, answer questions, qualify leads and complete routine tasks - across your website, WhatsApp, SMS, Facebook and in-app messaging. When a conversation needs a human, the bot hands off seamlessly to a live agent with full context, so nothing is repeated and nothing is lost.

Built on proven NLP engines and connected to your knowledge base and business systems, our chatbots deflect repetitive queries, cut wait times and free your team to focus on high-value work - while every interaction is logged and measurable.

What we deliver

  • Custom conversation design - designed for your brand voice, customer journeys and escalation rules.

  • Natural language understanding - intent recognition, entity extraction and multi-turn dialogue using Google Dialogflow CX, Amazon Lex, Rasa and leading LLMs.

  • Omnichannel deployment - one bot across web, WhatsApp, SMS, Facebook Messenger and mobile apps.

  • Live-agent handoff - connected to your CRM, knowledge base and ticketing (Genesys, Amazon Connect, Salesforce).

  • Analytics & continuous tuning - dashboards on deflection rate, resolution and customer satisfaction.

AI Chatbot - How a Conversation Flows
Customer message
NLP / intent recognition
Knowledge base & business logic
Response generated
Resolved or handoff to agent
Channels: Web · WhatsApp · SMS · Facebook · In-app
Human handoff → live agent + CRM (Genesys / Amazon Connect / Salesforce)
How a customer message flows through the chatbot to resolution or human handoff.
Service 2 - Google Vertex AI

Google Vertex AI - custom models and generative AI, production-ready

When off-the-shelf tools aren't enough, RACube uses Google Cloud Vertex AI to build, tune and serve machine-learning and generative-AI models tailored to your data. From demand forecasting and call-driver prediction to Gemini-powered assistants and document understanding, we take models from experiment to a secure, scalable production endpoint.

As an experienced cloud and contact-center engineering team, we handle the full lifecycle - data pipelines, training, evaluation, deployment and monitoring - so you get intelligence you can trust and govern.

What we deliver

  • Data pipelines & feature store - ingest and prepare data from your CRM, call logs, documents and operational systems.

  • Model building - AutoML for speed, custom training for control, and Gemini foundation models for generative use cases.

  • Generative AI & RAG - ground generative models in your own content for accurate, source-backed answers.

  • Deployment & MLOps - real-time Vertex AI endpoints with versioning, evaluation and drift monitoring.

  • Integration - models plug straight into your chatbots, agents, search and analytics.

Google Vertex AI - Build, Tune & Serve Models
Data sources
CRM, calls, docs, logs
Vertex AI Pipelines
Data prep & feature store
Model training & tuning
AutoML / custom / Gemini
Model registry & evaluation
Vertex AI Endpoints
Real-time serving
Applications
Chatbots · Agents · Analytics · Search
The Vertex AI lifecycle from raw data to applications consuming live model endpoints.
Service 3 - Amazon Lex

Amazon Lex - voice and text bots built for the contact center

Amazon Lex brings the same deep learning that powers Alexa to your customer service. RACube designs Lex voice and chat bots that understand what callers want, collect the details they need, and complete the request - checking an order, booking an appointment, authenticating a caller - by calling your backend through AWS Lambda. It drops naturally into Amazon Connect and existing IVR, so you can automate the routine and route the rest to the right agent.

We bring hands-on AWS and Amazon Connect experience to design intents, slots and fulfilment that feel natural and measurably reduce handle time.

What we deliver

  • Conversational design - automatic speech recognition and natural language understanding for voice and text.

  • Intent & slot modelling - intents and slots mapped to your real customer requests and business rules.

  • Backend fulfilment - AWS Lambda functions that connect Lex to your CRM, databases and APIs.

  • Contact-center deployment - native integration with Amazon Connect, IVR and web/mobile channels.

  • Ongoing optimisation - tuned on real transcripts to keep accuracy and containment climbing.

Amazon Lex - Voice & Text Bot Pipeline
Caller / user
Voice or text
Amazon Lex
ASR + NLU
Intent + slots filled
AWS Lambda fulfilment
Backend / API
CRM · DB
Spoken / text response returned to the user
Deploys into Amazon Connect, contact-center IVR & web/mobile apps
An Amazon Lex request from caller to backend fulfilment and back.
Service 4 - Agentic AI

Agentic AI - autonomous agents that reason, decide and act

Agentic AI is the next step beyond chatbots. Instead of just answering, an AI agent plans and carries out multi-step work on its own - it understands a goal, decides what to do, calls the right systems and tools, checks the result, and only asks a human when it should. RACube builds these agents to handle end-to-end processes such as resolving a support case, processing a refund, or orchestrating a workflow across several systems.

We design agents with the right guardrails: scoped permissions, human-in-the-loop approvals for sensitive actions, memory for context, and full traceability - so autonomy comes with accountability.

What we deliver

  • Agent orchestration - an LLM-driven planner that breaks goals into steps and adapts as it goes.

  • Tool & system integration - secure connectors so the agent can act in your CRM, ticketing, databases and APIs.

  • Context & memory - short- and long-term memory so agents stay coherent across a task.

  • Guardrails & human-in-the-loop - approval gates, permission scoping and audit logs on every action.

  • Multi-agent workflows - multiple agents collaborating on complex, cross-functional processes.

Agentic AI - Autonomous Reasoning & Action
Memory & context
Short + long term
Agent Orchestrator
LLM reasoning + planning
Perceive → Reason → Plan → Act → Observe
Tool layer - the agent calls these to get work done
APIs & systems
CRM / ticketing
Knowledge & search
Workflows & automation
Human approval
An agent orchestrator reasoning over memory and acting through a layer of tools.

Interested in AI & Agentic Automation?

Talk to a RACube architect about scoping an engagement around your goals.

Schedule a consultation