Scope AI agents for customer service around tickets, voice, and policy - not a wall of chatbot features.
Guests needed answers across web and WhatsApp for thousands of complaint and request types without endless wait queues. BigOhTech built NLU-driven support flows that classify requests, route work, and keep agents focused on exceptions.
70% reduction in average wait times, 90% increase in customer satisfaction with support, and 85% improvement in team efficiency as published.
Start with one Customer Service AI agent workflow - ticket triage, order status, or after-hours voice - and measure wait time, deflection quality, or CSAT before you expand channels.
You need Customer Service AI agents that survive peak queues and refund policy reviews - not a demo chatbot that dies after the pilot slide deck.
Support journeys look different in retail, travel, and regulated sectors. We map agent patterns to the industries your CX team already serves.
You get a clear path from one CX KPI to monitored AI agents for customer service that advisors will actually use.
Start with one agent on one KPI, expand to a CX suite, or embed a dedicated team. Pricing stays Custom until we see your helpdesk landscape. Quality means scoped tools, HITL gates, and ISO 27001 certified delivery when security reviews the build.
Published portfolio results you can verify. We do not invent deflection percentages or unsupervised refund ROI for AI agents for customer service.
An AI agent chatbot answers FAQ. Scripted bots follow fixed trees. BigOhTech Customer Service AI agents also open tickets, update CRM, and escalate with approval when refunds or goodwill are on the line.
Six high-frequency places for AI agents for customer service - each with a human exit when stakes rise.
Stack choice follows your helpdesk and CRM landscape and which systems agents may touch. We stay on tools BigOhTech already delivers with.
Agents only help when they meet CX systems where work already runs - helpdesk, CRM, messaging, and cloud.
We build Customer Service AI agents so support desks get bounded actions - not another FAQ widget that explains policy while tickets and refunds stall. How far has customer service moved from mentioning AI toward agentic systems that execute multi-step support work?
Features that make AI agents for customer service useful in production - retrieval, tools, voice, ticket writes, and audit gates together.
We pick one KPI and one workflow, wire limited tools, and score task success and overrides inside about 40 free hours. You decide whether to expand without a long contract first.
We offer ongoing monitoring, prompt and tool updates, and incident support so agents stay accurate as policies and catalogs change. See our IT Support and Maintenance services for how post-launch ownership works.
Hospitality often starts with guest care across WhatsApp and web for booking and amenity questions. Ecommerce often starts with order status and returns. Both need HITL on cancellations and goodwill.
A chatbot answers. Agentic AI for customer service also calls tools - open a ticket, update CRM, flag a missing document - and stops for approval when risk is high.
They intake return reasons, check policy, and open tickets or RMA drafts. Refunds and goodwill credits stay gated until your CX rules say otherwise.
Custom work product is handled under your MSA and SOW. We work under NDA for customer and ticket data discussions.
A simple pilot can start after discovery and scoped connectors - often weeks, not a multi-year platform rewrite. Multi-queue suites take longer when helpdesk landscapes are complex.
No. They handle routine intents and draft hand-offs. Advisors still own empathy-heavy, dispute, and high-stakes conversations.
Typical scope covers discovery, journey mapping, helpdesk/CRM integrations, HITL gates, a pilot on one KPI, and production monitoring. First agents often own chat deflection, voice after-hours, ecommerce orders, hospitality guest care, billing status, or agent-assist drafts.
Only if you explicitly allow it - and even then we prefer draft-plus-HITL for refunds, cancellations, and goodwill. Most teams keep money-moving actions behind human approval at first.
You get pilot-first delivery, permissioned tool use, and honest published CX proof - not invented deflection ROI. We build custom agents on your stack as an IT agency, not a locked chatbot product.
No by default. It can draft account status answers and escalate. Your policy decides which writes require advisor approval.
Share your project goals, timeline, and technical requirements. We'll review your requirements and send a tailored solution with an indicative estimate within 48 business hours.
