3xRMD Voice
AI voice agents that engage and convert.
- Inbound reception
- After-hours answering
- Appointment booking
- Lead qualification
- +4 more
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AI agents and intelligent automation that work alongside your team — handling repetitive work, engaging customers and keeping business processes moving.
AI shouldn't just answer questions. It should take action.
3xRMD connects intelligent agents with the systems your business already uses, allowing AI to perform real work across sales, customer service, administration and operations.
Less repetitive work.
More capacity.
More done.
Your operations.
Automate repetitive processes and remove unnecessary manual work.
Your team.
Give people additional capacity and better tools so they can focus on higher-value work.
More together.
Combine people, AI and automation to improve business outcomes.
AI voice agents that engage and convert.
More opportunities. Less sales administration.
Smarter customer support at scale.
Remove the work between the work.
AI tools for your people, every day.
Same team.
More capacity.
We connect AI and automation with the applications your business already relies on.
If it has an API, there's a good chance we can make it work harder.
Find where time is being lost.
Build the improved process.
Integrate the systems and information required.
Develop the agent or automation and test real-world scenarios.
Deploy through a controlled rollout.
Measure, optimise and continuously improve.
The goal isn't to automate every interaction.
It's to automate the repetitive work around your people so they have more time for judgement, creativity, relationships and complex decisions.
Let AI handle repetition.
Let people handle what matters.
Capability is only half of it. The other half is knowing what the AI can reach, what it can do, and where it stops.
AI should only access the information required to perform its role.
Agents and integrations should follow least-privilege principles.
Clearly define where AI stops and people take over.
Agents should be tested against expected and unexpected scenarios.
Where practical, actions and interactions should be logged.
AI workflows require monitoring and continuous improvement.
A rough sense of the hours sitting inside one repetitive process.
Potential capacity identified
hours returned per year
Indicative capacity value
Indicative only. This is a simple model based on the numbers you entered, not a quote, a forecast or a guarantee. Actual outcomes depend entirely on the specific process, the systems involved and how the automation is implemented. Some tasks automate almost completely; others only partly.
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Tell us where your team is spending time on repetitive work. We'll explore whether AI and automation can do it differently.