Customer service AI. Built to resolve.

One knowledge base. A personal assistant for every advisor.

Policies in SharePoint. Processes in Google Docs. Training in PowerPoint. When the answers are scattered, customer queries take longer and new starters have more to learn.

Bring that knowledge into one centralised base. Agent Assist finds relevant guidance and suggests replies while your advisor handles the conversation, reviews the answer and decides what to send.

Train from the same approved information that your team, AI Agents and Quality use every day.

Turn conversations into better service.

A helpful tone is only part of a good answer. Quality can link the conversation to your knowledge base to check accuracy and whether the advisor followed your policies.

If an advisor changes account details without checking identity, flag the missed step and the conversation evidence. Use it to focus coaching and improve the guidance your team works from.

Resolved? Ask your customer.

Surveys add the customer’s perspective: did they get the help they needed? Bring their feedback alongside the review.

Different channels. One place to help.

Email, WhatsApp, social messages and live chat all arrive in the Resolvable Helpdesk. Your team sees the customer’s history, who owns the enquiry and what needs to happen next.

Spend less time switching between inboxes and rebuilding the story. Keep the conversation, notes and handover together, with AI and your people working from the same context.

From question to resolution.

Use AI Agents to understand a routine request, check approved knowledge and connected data, and carry out the actions you authorise. When the enquiry needs a person, pass on the conversation, what was checked and what still needs doing.

Check the tracking and delivery evidence, then guide the next step. If a missing-parcel enquiry needs your team’s review, hand over the context so the customer can continue from there.

Hear the issue behind the numbers.

Find repeated delivery concerns, checkout friction and unclear policies in customer conversations. Give Operations, Product or your knowledge team the evidence to investigate and make a useful change.

Plan for the pressure, then work on the reason customers need to contact you. Performance data and the customer’s own words answer different questions.

Different language. Same conversation.

A customer writes or speaks in their language. Translation gives your advisor the meaning in English, then carries the reply back. Keep the original wording and customer context together.

Answer the call with your knowledge behind it.

The caller explains what they need. Your AI Receptionist checks approved knowledge and speaks the answer, or gathers details for a person to follow up. Define the transfers and callbacks around your operation.

A missed call still has a next step.

Give your sales team a prepared queue with lead history. If a call goes unanswered, schedule the follow-up. When it connects, the advisor takes the conversation forward and saves the outcome with the lead.

Ask a question. See the answer.

“What is my busiest day?” Ask in plain English and get an answer, a chart and the reporting context behind it. Help your team see demand patterns and decide where to look next.

Know when you’re busiest. Find out what’s driving it.