Handle customer enquiries around the clock without growing your team. AI that answers common questions properly and hands over to humans when it should.
Your support team answers the same questions repeatedly. Customers wait in queues for information that could be instant. After hours, enquiries go unanswered until morning. AI-powered support automation addresses these problems without sacrificing quality.
Effective support automation transforms the customer experience:
Immediate responses: Customers get answers in seconds, not hours. No queues, no waiting, no frustration.
Always available: Support operates around the clock, including weekends and holidays. Customers in different time zones get the same service.
Consistent quality: Every customer receives accurate, on-brand responses. No variation based on agent experience or mood.
Human agents for complex issues: Your team focuses on enquiries that need human judgement, empathy, or expertise.
Support automation uses AI to handle routine enquiries while routing complex ones to human agents.
Understanding enquiries: Natural language processing recognises what customers are asking, even when they phrase questions differently.
Accessing information: Integration with your systems lets AI check order status, account details, booking availability, and other relevant data.
Providing answers: AI generates accurate, helpful responses based on your knowledge base and real-time information.
Knowing limits: When enquiries exceed what AI can handle, smooth handover transfers to human agents with full conversation context.
Support automation handles enquiries like:
Order status and delivery tracking. Real-time updates pulled from authoritative systems.
Account information and simple requests. Balance checks, status updates, and common account changes.
Booking and scheduling. Appointment booking, rescheduling, and confirmations.
Product information and availability. Answers grounded in your catalogue and policies.
Returns and cancellations. Guided flows that collect the right information and route exceptions.
FAQs and troubleshooting. Common questions and step-by-step guidance with safe fallbacks.
The specifics depend on your business, but the pattern is consistent: routine enquiries become instant self-service.
Organisations implementing support automation typically see:
60-80% deflection: Most routine enquiries handled without human involvement.
Response time reduction: From minutes or hours to seconds.
Cost per contact decrease: Significant reduction as automation handles volume.
Customer satisfaction improvement: Faster answers, available any time, with smooth escalation when needed.
Agent satisfaction increase: Team members handle interesting problems instead of repetitive queries.
We build support automation that fits your organisation:
Discovery: Understanding your support operation, common enquiries, and systems.
Design: Creating conversation flows that handle your specific scenarios effectively.
Integration: Connecting to your CRM, helpdesk, and business systems so AI has the information it needs.
Testing: Verifying accuracy and quality before going live.
Launch: Deploying with monitoring and support to ensure smooth operation.
Optimisation: Improving continuously based on real customer interactions.
Support automation works across the channels your customers use:
Web chat. Embedded on key pages to deflect common queries early.
Mobile app messaging. Support in the channel customers already use for your service.
Messaging platforms. WhatsApp and Messenger where appropriate.
Email triage. Classify and draft responses, escalating when required.
Voice and IVR. Voice assistants for routing and common self-service tasks.
Most implementations span multiple channels with consistent behaviour.
Support automation projects typically start with a focused scope: one channel, a defined set of enquiry types, integration with key systems. This proves value quickly before expanding.
Support automation succeeds when it is designed as an operating model, not a widget.
Ground answers in systems of record. For anything factual (orders, accounts, policies), integrate so answers are correct and current.
Define escalation rules clearly. Low confidence, high emotion, unusual requests, or regulated topics should route to humans quickly.
Measure outcomes, not just deflection. Track resolution quality, repeat contact, and customer satisfaction so automation improves the experience rather than hiding problems.
Use these prompts to pressure-test scope and escalation rules.
“What are the top 20 enquiry types we should automate first, and what is the correct ‘best answer’ for each?”
“Which topics should always escalate to a human, and what information should be captured before handover?”
“What metrics will prove success: resolution rate, CSAT, repeat contact, and time to resolution?”
No. Automation handles routine enquiries, freeing your team for work that needs human skills. Most organisations maintain or redeploy support staff rather than reduce headcount.
We test thoroughly before launch and monitor continuously. AI is trained on your knowledge base and connected to authoritative data sources. When uncertain, it escalates rather than guessing.
Basic automation can launch in 6-8 weeks. Complex implementations with extensive integration take longer. We agree timelines based on your specific scope.
