Tailored, privacy-first voice AI solutions
Our Engagment Process
For every use case, we follow the same discovery and implementation process to establish ROI quickly and continue to deliver value at pace.
Weeks 1 - 2 | Consultation and Discovery
Objective Setting: Meet with key stakeholders to understand business goals and identify how a voice AI solution could add value
Needs Analysis: Gather detailed requirements and KPIs to ensure the project aligns with strategic objectives
Technical Assessment: Evaluate existing systems and platforms to identify integration needs and potential challenges
Weeks 3 - 6 | Pilot Phase
Conversation Design: Develop dialogue flows, voice user interfaces, and script interactions that feel natural to users
Rapid Prototyping: Create a prototype to test initial ideas, allowing for early feedback and iterative improvement
User Testing: Conduct early-stage user testing to refine conversation design and adjust for clarity, tone, and usability
Weeks 7 - 10 | Production Phase
Refinement: Enhance the pilot solution based on feedback, expanding functionalities and refining dialogue flows.
Systems Integration and Testing: Integrate with back-end systems and conduct comprehensive QA and UAT to ensure reliability and security.
Final Deployment and Monitoring: Deploy the full production solution and establish monitoring processes for ongoing optimisation and support.
Lead capture
Capture leads immediately as they come with voice AI call answering agents. Leads are 21 times more likely to convert if addressed in the first minute.
Many companies fall short in their response times. The average B2B response time is 42 hours, with only 27% of leads ever receiving a response.
Lead qualification
Consistently qualify leads with AI voice agents as they come and route “hot” leads to a human operator to maximise conversion rate.
Appointment scheduling
Integrate with calendars and check and book appointments on the fly. Improved customer experience and time saved for human operators.
Operations handling
Integrate with operations management systems like OMSs, CRMs, TMSs and manage operations at a scale and complexity not possible without AI.
Lead reactivation
Data mine large cold lead databases that are too large for human operators to engage with.
Have AI voice agents reactive leads, calling 100 leads at a time.
Support staff augmentation
Free up your services and support staff to handle more complex, high-value queries and work. Provide customers with answers 10x faster than traditional automated systems. On average, it takes customers 10 to 60 minutes to resolve an issue when calling a business.
From our data set, the average voice AI support call is 2-6 minutes. With no wait time and no transfers.
Your use case?
New voice AI agent use cases are being discovered ever day. How can voice AI transform your business?
Build your scalable AI workforce
Interested in working together? Fill out some information and we will be in touch shortly. We look forward to hearing from you.