Agentic AI you can switch on, not build.
Platforms in this group
Algho
The conversational and agentic AI platform behind this group. Ready-made: pre-built sector configurations, every channel from day one, and a workflow layer behind the conversation so the agent acts, not just answers. Today Algho is the whole group. The group has room for new agents as they earn it.
Service that scales without growing the headcount to match.
One brain, every channel. Web, voice, kiosk, in-venue avatar, and mobile. The same agent, the same memory, the same answer. The conversation follows the customer across channels instead of starting over each time.
Routine resolved, judgement escalated. The agent clears the high-volume, low-judgement work, status checks, bookings, eligibility questions, in seconds. Anything that needs a person reaches one who already has the full context the agent gathered.
It acts, not just answers. A workflow layer sits behind the conversation, so the agent completes the task: books the slot, updates the record, moves the case forward. The difference between a chatbot and an agent is whether the work actually gets done.
Accessible by design. Omni-language support, including languages with limited digital presence, and sign language, in production today in Italian Sign Language with the architecture extensible toward Auslan. Equal access without an interpreter in the loop.
Ready-made, not rebuilt. Pre-built sector configurations mean weeks to live, not a programme. You configure what is yours and inherit the rest.
The fast path. Not the only path.
Algho is the ready-made layer: agentic service, deployed quickly, ideal when the buyer wants capability now rather than a build. When the work underneath is high-stakes decisioning, complex rules, governed change, audit you can replay, that is the sophisticated tier, and it lives in our Decisioning and Automation Platforms. Most agentic deployments use both: Algho holds the conversation, the decisioning platform makes the decision. That division is the Decision Pyramid in practice.
See Decisioning & Automation Platforms → Read the Decision Pyramid →
Proven across Europe. Packaged to deploy here.
The platform runs multi-channel customer service across European banks including a regional cooperative, a mobile-first fintech, a specialty finance bank, and a private banking platform. It powers customer service for Trenitalia, the Italian state rail operator. It runs guest experience at a 5-star Italian luxury resort, agent operations across Europe's largest real estate franchise network, multi-channel service for a major Mediterranean ferry operator, and B2B and B2C service for a global food and dairy multinational.
These are European deployments of the platform. Digital Experience Labs brings the same platform to ANZ, ready-made.
The outcome it carries
This group powers our Artificial Intelligence capability: service that scales without losing the human touch.
See Artificial Intelligence →Where it fits
Strongest where service volume is high and the buyer wants it handled without a build first: insurance broker and claims service, financial services, government citizen service, transport, and retail and hospitality.
See Industries →Questions we get asked
Is this for small businesses or large enterprises?
Both, but it earns its place fastest for SMB and mid-market who want agentic service without a build project. It is the same platform that runs across European banks and a national rail operator, so it scales up as you grow.
How is an agent different from a chatbot?
A chatbot answers. An agent acts. The workflow layer and integrations behind the conversation completes the task and updates the systems, and escalates to a person with full context when judgement is needed.
How quickly can it go live?
Weeks, not a programme, because it ships with pre-built sector configurations rather than being built from scratch.
Does it support accessibility and sign language?
Yes. Omni-language support and sign language, in production today in Italian Sign Language, with the architecture extensible toward Auslan for ANZ.
When do we need the decisioning platforms instead?
When the decision underneath is complex, governed, and has to be auditable. Algho handles the conversation and the routine; the decisioning platforms handle the consequential decision. Many deployments use both.