HALO AI Agents resolve the repeat work across voice, WhatsApp, chat and email. Your team takes over inside one Agent Inbox, with full context, predictions on every profile, and zero after-call admin.
Repeat work
"Where is my package." "Can I change my order." "How do returns work." Important to the customer, not the work your team was hired for. The conversations that matter get crowded out.
Lost context
A WhatsApp thread on Monday and a phone call on Wednesday are treated as two unrelated events. The customer repeats themselves. The agent rebuilds context from scratch.
Bolt-on AI
79% of organizations claim they use AI agents. Most teams layered an AI agent on top of fragmented data and disconnected channels. Same wait times. The foundation never changed.
Support is three parts that only pay off together. The AI resolves the routine. Your team handles what matters, in the same workspace, with full context. And the context layer sits underneath both, so nothing starts from zero and every resolution makes the next answer smarter.
Buy a chatbot and you get deflection. Buy an inbox and you get a workspace. Here they are one system, the only way cost stops scaling with the number of tickets.
HALO doesn't read from a script. It pulls customer context, calls your tools, runs workflows, and hands off to a human only when judgment is required. Deploy it across every channel.
Describe what the agent should do. HALO doesn't read from a script. It configures, connects your tools, and rolls out. No code.
Built by a telco. Natural turn-taking, ElevenLabs voices, intelligent interruption handling. WhatsApp Voice included. The most expensive channel becomes one of the cheapest.
HALO doesn't fire one query and stop. It runs parallel searches, evaluates, and asks itself follow-up questions until the answer is complete. 20% more satisfactory answers.
Every answer traces to its source and is correctable in plain language. It improves through normal work, not separate retraining cycles.
Topic Analysis groups conversations by what was asked. Resolution Rate breaks down how each one ended. Customer Feedback Score sits alongside both, so you can see when satisfaction and resolution disagree. That's usually where the work is.
Topic Analysis: Sankey view of subtopic to resolution to feedback
Resolution Rate: Resolved, Handover, Unresolved, Undetermined
Per-answer fix: Correct individual responses at the source
Voice, WhatsApp, web chat, email, Instagram, Messenger and RCS land in one inbox, each with the full customer history attached. The AI is woven through it, not bolted on top: it suggests replies, transcribes calls, translates languages and writes the summary after. When HALO hands a conversation over, your human agent doesn't switch systems. They just keep typing, and no one rebuilds context from scratch.
Voice, WhatsApp, web chat, email, Instagram, Messenger, RCS. Same inbox, same conversation history. The customer's channel is their choice, not your headache.
A Spanish customer writes in Spanish. Your agent reads English, types English back. The customer receives Spanish. Both sides feel native. Works on every channel.
Calls transcribed in real time with speaker separation. The transcript drives Agent Assist suggestions during the call. Every conversation flows into QA at 100% coverage.
Suggested replies based on customer context, knowledge base, and what was just said. Junior agents perform like seniors, faster.
Hand a conversation to another team, loop in a colleague with an internal note, or let someone take over mid-thread. Skill-based routing sends each case to the right person first time.
Before the agent replies, the profile shows if they're likely to escalate, what to offer next, and the channel they prefer. The call summary writes itself afterwards.
The Customer Context Platform connects every channel into one memory and runs predictions natively, so the AI and the inbox act on the whole customer, not a single ticket. Prefer your existing CDP? Connect that instead. Either way, this is the layer that lets every resolution make the next one better.
Your customer isn't a row in a table. Their household, products, nearest store and order history are all linked, so your agent sees everything, not a name and an email.
Churn risk, lifetime value and likely next purchase live on the profile, ready for your team and the AI to act on.
Web, app, email and WhatsApp all resolve to the same person, updated the moment they act. A thread on Monday and a call on Wednesday are one conversation, so the customer never repeats their story.
Most "AI for support" platforms wrap a chatbot with phone connectivity afterwards. CM.com is the inverse. Voice is core, every other channel was added later. It shows in call quality and latency.
Not two products integrated together. Same workspace, same data, same conversation history. When HALO hands off, the human doesn't switch systems. They just keep typing.
All your data is stored and processed in the EU, and it stays yours, never used to train language models. A European company, listed on Euronext Amsterdam and headquartered in the Netherlands.
We handle thousands of unique personalized orders every day, and yet 70% of all customer questions via chat are now resolved automatically. That gives our team the space to be truly personal when it actually matters.
79% of our customer chats are now fully handled by Lucie, our AI colleague. That's not just a number, it means our team finally has the space to focus on conversations that truly require a human touch.
We now handle 44% more customer contacts with the same team. Not by working harder, but because AI takes care of the repetitive questions so our people can focus on what actually matters.
Checking an order status used to take a minute and six manual steps. Now the AI responds in 5 seconds, and that's already happened over 22,000 times. That's the time our team gets back for the conversations that actually require expertise.
AI is not about replacing our expertise, it’s about making it more accessible. The more we work with it, the more we see how it can strengthen the guidance we provide.
And the longer it runs, the better it gets. Every conversation adds to the customer context and teaches the AI, so you know your customers better and resolve more.
Less after-call work
HALO writes the summary, updates the system records, schedules follow-ups. Time goes back to customers.
More satisfactory answers
Agentic RAG resolves more on the first attempt. Fewer "I don't know" responses, fewer escalations.
Of conversations reviewed
Voice transcripts flow into QA automatically. Every call gets reviewed, not a sampled few.
A 30-minute walk-through with a CM.com solutions architect. Bring your current support stack. We'll show you HALO, the Agent Inbox, and how predictions surface on every customer profile.
AI agents that don't just chat. They look up orders, reroute deliveries, process returns.
Build agents in natural language
Voice-native, 72 languages
Full traceability and analytics
One workspace where your team and HALO actually work together. Real-time co-pilot, zero after-call admin.
Predictions on every profile
Agent Assist on every channel
Auto-summary, auto ACW
Connects customers to households, locations, products, contracts. Predictive AI runs natively on top.
Connected entity model
Native CXP Predictions
Real-time at enterprise scale
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