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SERVICES

Contact Centre

Route, manage and report on customer conversations.

Cloud Migration

Move off legacy telephony with numbers, users and workflows intact.

AI Solutions

Where AI fits across calling and customer contact, and where people stay in control.

Virtual Agent Delivery Services

Customer-facing agents, scoped and tested, escalating to your team with context.

AI Agent Assistant Delivery

Live prompts, context and summaries for the people handling the conversation.

System Handsets

Desk phones, headsets and meeting rooms, supplied and configured.

SERVICES

Test the platform before you commit

We build a production-grade environment around your real users, workflows and integrations, then agree what success looks like before wider rollout.

VERTICALS

Healthcare

Patient access, triage lines and multi-site working.

Education

Reception, safeguarding and calling across every site.

Not for Profit

Supporter and service lines, with costs kept under control.

Housing Associations

Tenant contact, repairs reporting and out-of-hours cover.

Estate Agents

Branch calling, mobile teams and enquiry capture.

Care Homes

Resident direct dial, accessible handsets & mobile care teams.

VERTICALS

Utilities Companies

High call volumes, demand peaks and service levels.

Travel Companies

Seasonal demand, out-of-hours cover and overseas calling.

Shipping & Logistics

Depot, driver and customer contact in one place.

Dental Practices

Appointment lines, reminders and small-team cover.

Professional Services

Client contact, call recording and CRM context.

PROOF

Emerald Technology

A six-week global rollout to 40 users across multiple regions, with CRM integration and meeting summaries replacing manual admin.

BEFORE YOU COMMIT

Proof of Concept

A production-grade environment built around your real users, workflows and integrations, tested against agreed success criteria.

Deployment Schedule

What a rollout involves week by week, from build and porting through to go-live.

PROOF

Client Success Stories

Named customers, real deployments and the outcomes they measured.

START WITH A CONVERSATION

Tell us how your teams work today

We'll look at your current estate, workflows and contracts, then set out the options and what each one would involve.

AI Agent Assistant Delivery

Give every agent intelligent support in the moment

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Customer service employees are expected to navigate complex processes, search multiple systems and provide accurate answers while maintaining a natural conversation.

An AI agent assistant brings relevant support directly into that interaction.
Future Voice provides vendor agnostic AI agent assistant delivery across leading contact centre platforms. We help businesses select, implement and optimise AI that supports human agents with real time guidance, knowledge, prompts, summaries and workflow automation.

Your people remain responsible for the conversation. The AI helps them handle it with greater speed, consistency and confidence.

Support agents without distracting them

Employees may need to search for an answer, interpret a process, enter notes, update a CRM and decide what to do next while the conversation is still taking place.

AI agent assist technology can analyse the interaction as it happens and present relevant information within the agent workspace.

Depending on the conversation, it can provide next best action recommendations, surface knowledge, suggest responses, analyse sentiment and automate call summaries.

Real time knowledge

Present relevant content from approved knowledge bases without asking the employee to search through multiple documents or applications.

Next best action guidance

Recommend an appropriate step according to the conversation, customer information and defined business processes.

Dynamic scripts

Adapt guidance to what is happening within the interaction rather than making agents follow a rigid, generic script.

Suggested responses

Help employees respond clearly and consistently across voice, chat, email and supported digital channels.

Sentiment insight

Highlight changes in customer sentiment that may indicate dissatisfaction, confusion or a need for additional care.

Automated summaries

Generate structured interaction notes that agents can review, helping to reduce after call work.

Workflow support

Trigger or recommend actions within connected systems, helping agents complete processes with fewer manual steps.

CRM integration

Bring information and AI guidance into the applications your teams already use.

Multilingual assistance

Support employees handling conversations in different languages by providing translated knowledge, prompts, summaries and suggested responses.

Future Voice makes sure that assistance is designed around how your agents and customers actually interact.

 Get the AI Agent your customers and team need

Help agents focus on the customer

The purpose of AI agent assistance is not to replace the human element of service. It is to remove avoidable friction around it.

Faster access to answers

Agents can receive relevant knowledge during the conversation rather than placing customers on hold while they search.

More consistent service

Real time agent guidance helps employees follow the correct process and communicate approved information.

Reduced after call work

AI call summarisation and automated data capture can reduce the amount of manual administration required after each interaction.

Shorter onboarding periods

New employees can access contextual guidance within their daily workspace, supporting them as they build knowledge and confidence.

Greater agent productivity

Less switching between systems gives employees more time to focus on understanding and resolving the customer’s need.

Better customer outcomes

Customers receive faster, more informed support while continuing to speak with a human agent.

These insights can inform improvements to knowledge, workflows, onboarding, coaching and customer journey design.

See how AI is supporting your agents

Agent analytics help managers understand not only how employees are performing, but how effectively the AI assistant is supporting them.

Depending on the selected technology, managers can monitor:

  • How often AI guidance is presented
  • Which recommendations agents use or disregard
  • Frequently accessed knowledge
  • Common questions and knowledge gaps
  • Accuracy and relevance of suggested responses
  • Use of automated summaries
  • Processes that regularly create confusion
  • Differences between teams, channels or languages
  • Opportunities for additional workflow automation
  • The effect on handling time and after call work

These statistics can show where the assistant is adding value, where guidance needs to be improved and where employees may need additional support.

Future Voice uses these insights to refine prompts, improve knowledge connections, reduce unnecessary notifications and ensure the AI Agent Assistant continues to reflect real customer conversations.

Our AI agent assistant delivery process

Understand the agent experience

We examine how customer interactions are currently handled, including the applications employees use, the information they need and the tasks they complete during and after each conversation.

Identify friction

We look for the points that slow agents down or create inconsistency.
These may include knowledge searches, complex processes, repeated data entry, unclear escalation routes, lengthy wrap up work or frequent switching between systems.

Define the use cases

We prioritise practical applications of AI for contact centre agents that can support a measurable improvement.
This might begin with one team, interaction type or part of the customer journey before being extended more widely.

Select the technology

Future Voice assesses available agent assistance software according to your contact centre platform, CRM, channels, integrations, security requirements and desired functionality.

Design the assistance

We define what the AI should recognise, the knowledge sources the assistant can access, including existing FAQs, internal documents, websites, process information and approved external content. Prompts, knowledge, scripts and next best actions are shaped around your operating model.

Define its limitations

Access rules and permissions are designed around employee roles, customer journeys and governance requirements, defining which information it can access, what guidance it should provide and when human judgement must take priority.

Integrate the solution

The AI agent assistant is connected to relevant contact centre tools, CRM records, knowledge sources and workflows.
Our aim is to embed assistance within the agent’s normal working environment rather than introduce another disconnected application.

Test with real scenarios

We test the solution against representative interactions, variations in customer language and situations where the available information may be incomplete or ambiguous.
Agent feedback can also be used to improve how and when guidance appears.

Launch and support adoption

We help managers and employees understand the purpose of the solution, how to use its guidance and how feedback will be captured.
The objective is to build trust in the assistant while making it clear that the agent remains responsible for the customer conversation.

Measure and optimise

We review how the solution affects metrics such as handling time, after call work, first contact resolution, process compliance and agent experience.
Agent analytics can show which prompts are used, which knowledge employees request, where recommendations are ignored and how assistance affects operational performance. These findings allow us to continually improve the relevance, timing and value of the support provided.

Turn existing knowledge into real time support

Many businesses have spent years building FAQs, process guides, product documentation and customer service resources. However, that information may be distributed across websites, shared drives, CRM records and separate internal systems.

Future Voice helps connect suitable internal and external knowledge sources with the AI Agent Assistant, making relevant information available during live customer interactions.

This could include:

  • Internal FAQs and knowledge articles
  • Product and service documentation
  • Policies and compliance guidance
  • CRM and customer information
  • Internal process documents
  • Public website content
  • Support portals
  • Approved third-party information

Rather than requiring employees to search each source individually, the assistant can surface the most relevant information within their normal workspace.

We also help establish appropriate permissions and governance controls, so employees only receive information relevant to their role and the interaction they are handling.

Vendor agnostic AI agent assist delivery

Different contact centres need different forms of AI assistance.

One team may need reliable knowledge retrieval and automated summaries. Another may require next best action prompts, CRM integration, workflow automation and support across several channels.

Future Voice assesses the requirement before recommending the platform.

We work across leading contact centre and communications technologies, including appropriate agent assistance capabilities from providers such as 8×8, RingCentral and Zoom, as well as other solutions within our portfolio.

For example, current platforms can provide real time coaching, dynamic scripts, sentiment analysis, knowledge assistance, workflow support and automated interaction summaries. The exact combination of capabilities varies between products and deployments.

Our vendor agnostic approach means the recommendation begins with your agents, customer journeys and technology environment.

Why Future Voice?

Advice built around your requirements

We recommend technology according to the customer and operational outcomes you need, not a preferred vendor.

Contact centre experience

We understand how customer interactions move across channels, queues, teams, platforms and business processes.

End to end delivery

Our AI Agent delivery services cover discovery, selection, design, implementation, integration, testing and ongoing support.

Integration expertise

We help connect AI customer service automation with the communications and business systems your teams already use.

Ongoing optimisation

We continue to improve journeys after launch, using real interaction data to address gaps and identify new opportunities.

A dependable delivery partner

Future Voice combines technical capability with clear communication, responsive support and a commitment to getting the details right.

Give managers greater visibility

AI agent assistance can also help contact centre leaders understand how employees and customers experience key processes.

Depending on the selected technology, managers may be able to identify:

Common knowledge gaps

  • Frequently requested guidance
  • Processes that create confusion
  • Repeated causes of escalation
  • Customer sentiment patterns
  • Opportunities for additional automation
  • Interactions requiring further review
  • Differences in agent support needs

These insights can inform improvements to knowledge, workflows, onboarding, coaching and customer journey design.

Frequently Asked Questions

What is an AI agent assistant?

An AI agent assistant is a real time support tool for contact centre and customer service employees. It analyses the conversation and provides relevant knowledge, prompts, suggested responses, next best actions and automated summaries while the human agent remains in control.

How is an AI agent assistant different from a virtual agent?

A virtual agent communicates directly with the customer and may resolve an interaction without human involvement. An AI agent assistant works behind the scenes to support an employee who is handling the conversation. The two technologies can also work together within the same customer service environment.

What support can an AI agent assistant provide?

Depending on the selected platform, an AI agent assistant can surface knowledge, suggest responses, display dynamic scripts, recommend next steps, highlight changes in customer sentiment and generate interaction summaries. It can also support connected workflows within CRM and contact centre systems.

Does the AI make decisions for the agent?

The agent remains responsible for the interaction and can review, accept, edit or disregard the guidance provided. Future Voice helps define appropriate boundaries, so AI supports human judgement rather than replacing it.

Can AI agent assist reduce after call work?

Yes. Automated summaries and data capture can reduce the amount of manual administration required after an interaction. The employee can review the generated information before it is saved, helping to improve efficiency while maintaining oversight.

Can AI agent assist help new employees?

Real time guidance can help new employees access the right information while they build experience. It can support onboarding by presenting relevant knowledge and process prompts within the agent workspace. It should complement wider enablement and coaching rather than replace them.

Will it work with our existing contact centre and CRM platforms?

Many AI agent assistance solutions can integrate with contact centre platforms, CRM systems, knowledge bases and workflow applications. Future Voice assesses your current environment and recommends a solution that can be integrated effectively without adding unnecessary complexity.

How do you prevent agents from receiving too many prompts?

Effective delivery depends on presenting the right guidance at the right moment. Future Voice designs prompts according to interaction type, agent needs and business priority. We also use testing and agent feedback to refine the timing, frequency and relevance of the assistance.

How do you select the right AI agent assistant solution?

Our vendor agnostic approach considers the capabilities you need, the platforms you already use and the outcomes you want to improve. We compare suitable solutions according to areas such as knowledge assistance, workflow support, summarisation, integration, security and management controls.

How is the success of AI agent assistance measured?

Relevant measures may include average handling time, after call work, first contact resolution, process adherence, agent confidence and customer satisfaction. The most appropriate measures depend on the use cases selected and the operational challenges the solution is designed to address.

Can an AI Agent Assistant use our existing FAQs?

Yes. Existing FAQs, process documents and knowledge articles can form an important part of the assistant’s knowledge pool. Future Voice assesses the quality and structure of the available content and connects appropriate sources with the selected solution.

Can the assistant access external knowledge sources?

Depending on the platform and your governance requirements, the assistant can retrieve information from approved external sources as well as internal systems. Future Voice helps define which sources are appropriate and how the information should be controlled, reviewed and presented.

How do managers know whether employees are using the AI guidance?

Agent analytics can show how frequently guidance is presented, which recommendations are used and where employees choose a different action. These statistics help managers understand adoption, identify ineffective prompts and improve the support provided.

Can an AI Agent Assistant support multilingual conversations?

Many platforms can analyse conversations and provide guidance, summaries or suggested responses across multiple languages. This may reduce the need for separate translation services, although language coverage and accuracy vary by solution. Future Voice assesses your specific language requirements during selection and testing.

How is the assistant’s knowledge kept current?

The assistant can be connected to knowledge sources that are maintained by your organisation or approved external providers. When those sources are updated, the latest information can become available to the assistant according to the selected platform’s configuration and synchronisation process.