AI customer service & contact centre solutions
Build AI support tools for ticket routing, reply drafting, service knowledge and conversation summaries, connected to your customer service workflow.
THE BUSINESS CONTEXT
Support teams often work across an inbox, help desk, order system and internal policy documents. The opportunity is to bring the right information into the conversation, reduce repeated administration and help an employee resolve the customer’s actual problem.
We design customer-facing assistance and tools for service agents around your approved policies. A pilot starts with selected request types and measures both the quality of the answer and what happens when the assistant needs a person.
YOUR FIRST ENGAGEMENT
Focused Pilot
Pilot two common support categories using approved help articles, with a handoff into the existing queue.
Discuss This PilotApproved support articles, a sample of anonymised tickets, help-desk access and a service owner.
Measures are agreed for your project. Results depend on the data, workflow and evaluation; they are not guaranteed improvements.
WHAT WE DO
Classify requests by topic, language and urgency using an agreed taxonomy. Identify missing order references and route tickets to the right queue. The service team sets the escalation rules for complaints, sensitive information and unusual requests. Queue priority remains explainable, and an employee can correct a classification.
Retrieve relevant product guidance and prepare a suggested reply with source references. Show the customer’s authorised record alongside a concise conversation summary. Agents can revise the draft before sending. Changes to refunds, account access or contractual commitments follow the same approval process as the existing service operation.
Integrate approved help-desk, CRM and order interfaces where access is available. Preserve a conversation identifier so a customer does not have to repeat every detail after a handoff. Define which information may be displayed on each channel and how the customer’s identity is checked before account-specific information is retrieved.
Sample conversations against the team’s service rubric, track unanswered questions and identify knowledge gaps. Reports can show which policies need clarification and which categories produce repeat contacts. Automated quality suggestions need supervisor review; a positive tone alone does not demonstrate a correct resolution.
A DEFINED ENGAGEMENT
Your proposal defines the exact scope, responsibilities, milestones, and exclusions. Depending on the engagement, the work can include:
WHERE IT FITS
Prepare evidence-based replies and reduce repeated ticket administration.
Give supervisors a structured view of recurring service problems.
Handle common product and order questions with a route to a person.
WHO THIS CAN HELP
Explore example workflows and the customer groups these services are designed to support.
A PRACTICAL FIRST STEP
Choose one useful task, agree how the result will be checked, and use the evidence to decide what should happen next.
QUESTIONS, ANSWERED
The useful starting point is assistance for a defined set of requests. Human staff handle exceptions, complaints and decisions that require authority. Any expansion in automated resolution follows pilot evidence.
We assess the system’s supported APIs, permissions and plan restrictions. The proposal identifies the records that can be read or updated and the handling of failed connections.
An assistant can accept questions and provide approved answers outside office hours. Human response times, monitored availability and escalation coverage must be agreed separately.
CONNECTED CAPABILITIES
Help customers and colleagues find information in a natural conversation.
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