DTMF
Simple, deterministic and efficient
For PIN entry, simple selections, confirmations and well-known journeys, keypad interaction still provides the fastest and most cost-efficient experience.
Simple choicesSecure inputConfirmations
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AI for CX · Voice self-service
Voice AI that fits the conversation
From simple keypad interactions to natural AI conversations — orchestrated for every journey.
Not every call needs a fully conversational AI agent. Some requests are resolved fastest with DTMF; others need speech recognition, intent understanding or a natural real-time conversation. Geomant brings these technologies together into one voice strategy — using the right level of intelligence, automation and cost for every interaction.
The customer problem
Not every call needs a voicebot
Voice self-service has evolved over decades. Most enterprises already operate a mix of keypad IVRs, speech-enabled applications and complex routing logic. Adding conversational AI everywhere is rarely the best answer.
Rigid IVRs frustrate customers
Long menu trees force callers to adapt to the organisation instead of simply explaining why they are calling.
AI can be over-engineered
Complex conversational AI for a simple confirmation, identification or routing step increases cost and complexity without improving CX.
Legacy voice journeys are fragmented
DTMF, speech applications, bots, contact-centre routing and backend integrations are often managed as separate technologies.
Customers get lost during handovers
When automation fails, customers are transferred to an agent and forced to explain their problem all over again.
What AI changes
One voice journey. The right intelligence at every step.
Geomant treats Voice AI as an orchestration problem, not a chatbot project. We select the most appropriate voice technology for each part of the journey.
Speech Recognition / ASR
Let customers speak instead of pressing keys
ASR converts speech into text or recognised input, letting customers provide information naturally while the interaction remains structured.
NamesReference dataOpen speech
NLU-driven IVR
Understand the customer's intent
NLU identifies what the customer is trying to achieve and directs the interaction. A caller can simply say, “I haven’t received my invoice.”
Intent detectionSmart routingSelf-service
Conversational AI
Hold a natural, contextual conversation
Multi-turn dialogue that maintains context and can retrieve information or complete actions in connected business systems — adapting dynamically to the customer.
Complex enquiriesMulti-stepPersonalised
Real-time Voice AI
Highly natural AI conversations
Modern real-time voice models enable fluid conversations with interruptions, natural turn-taking and highly responsive AI — without locking you to one provider.
Natural dialogueLow latencyAI agents
Journey orchestration
One journey, the right tech at each step
Combine DTMF, ASR, NLU and conversational AI inside the same interaction. Simple steps stay deterministic; complex requests escalate into AI.
Hybrid flowsEscalationContinuity
More AI is not always better. The objective is better customer experience, successful automation and sustainable operating cost.
Key capabilities
Build voice self-service around the customer journey
Voice journey orchestration
Combine DTMF, speech recognition, NLU and conversational AI within the same customer journey — deterministic where it should be, intelligent where it must be.
Natural conversation & intent
Customers explain their need naturally. Voice AI understands intent, maintains context and manages multi-step dialogue without rigid menu structures.
AI that completes real tasks
Connect voice self-service to CRM, ERP, scheduling and billing. AI retrieves information, updates records, books appointments and triggers workflows.
Intelligent human handover
Automation should know when to stop. Calls transfer to the right agent with intent, customer context and conversation history already available.
Provider-flexible AI architecture
Combine contact centre platforms, speech services and modern AI models to fit each use case — best-fit architecture, not single AI lock-in.
Enterprise-grade delivery
Two decades of business-critical contact centre integration experience — designed for real telephony, routing and enterprise systems.
How it works
From customer call to the best possible resolution
- 01
Understand
Why customers call, interaction volumes, existing IVR flows, backend systems and the cost of current service.
- 02
Select
Map each use case to the appropriate model: DTMF, speech recognition, NLU or conversational Voice AI.
- 03
Connect
Integrate voice self-service with the systems required to retrieve information and complete real customer requests.
- 04
Orchestrate
Manage routing, automation, escalation and contextual transfer to live agents as one continuous voice journey.
- 05
Optimise
Interaction data reveals where customers succeed, where automation fails and where the journey should improve.
Business outcomes
Better voice self-service, without AI for AI's sake
Increase successful self-service
Automate interactions where customers can genuinely complete their task without an agent.
Reduce pressure on voice queues
Move repetitive contacts into effective self-service while protecting human capacity for complex interactions.
Improve the caller experience
Let customers speak naturally when it adds value, while keeping simple interactions simple.
Service beyond opening hours
Enable automated voice service for selected journeys without extending agent operating hours.
Handle peaks effectively
Use automated voice capacity for incidents, campaigns, seasonal demand and unexpected spikes.
Control AI operating cost
Apply advanced AI where it creates measurable value — not for every interaction.
Interaction models
- DTMF
- Speech Recognition (ASR)
- NLU-driven IVR
- Conversational AI
- Real-time Voice AI
- Human handover
Channels & deployment
Inbound VoiceOutbound VoiceCallbackCloudHybridOn-Prem
Why Geomant
- Voice & contact centre expertise
- AI orchestration, not AI lock-in
- Enterprise systems integration
- Human service in the architecture
Integrations
Geomant AI StudioBuzzeasy CCaaSGenesys CloudAvayaMicrosoft TeamsSalesforceServiceNowREST API
Voice AI is integrated into your real enterprise environment — telephony, routing, agent workflows and business systems — not as an isolated demo.
Where should Voice AI fit into your customer journey?
Your existing IVR does not need to be replaced overnight. We can analyse your current voice journeys and identify where DTMF, ASR, NLU or conversational AI delivers the best outcome.
Start with your existing call flows, contact volumes and customer service priorities.