AI Training for Customer Support Teams
Train your support team to build, evaluate and safely ship AI agents grounded in your own help centre — 4 courses, 7 days, from $2,500/day for up to 10 people.
Free consultation · No minimum seats
Overview
Support leaders are under pressure to "deploy AI agents" without a framework for deciding what should be automated, how answers stay accurate, or when the bot must hand off to a human. The result is usually a deflection bot that annoys customers and a CSAT dip nobody predicted.
This path fixes that. Your team learns to ground answers in your actual help centre and ticket history using RAG, design escalation paths that trigger before a customer gets frustrated, and build evaluation sets from real tickets so you can prove quality alongside cost. It is built for support organisations, not for ML researchers — the prompt engineering course requires no coding at all, so support leads and QA analysts can take it alongside the engineers.
Courses in This Path
Foundations of Agentic AI
What an AI agent can and cannot realistically do in a support workflow. No coding required.
Advanced Prompt Engineering
Control tone, refusal behaviour, and escalation triggers so the agent sounds like your brand.
Implementing RAG for NLP
Ground answers in your help centre and past tickets — the single biggest lever on answer quality.
Foundations for Conversational Agents
Build support agents with memory, context handling, tool use, and clean human handoff.
Who Is This For?
- ✓Support directors and CX leads evaluating AI deflection programs
- ✓Support engineers building or maintaining help-desk agents
- ✓QA and knowledge-base managers responsible for answer accuracy
- ✓Operations managers accountable for cost per contact and CSAT
- ✓Teams that tried a support chatbot and were unhappy with the results
Key Topics Covered
Simple, Transparent Pricing
$2,500/day
Up to 10 students per session · No minimum seats
That's 80% less than enterprise training providers charge for the same quality. Custom curriculum, live instructor, hands-on projects — all included.
Frequently Asked Questions
How much does AI training cost for a 10-person support team?
Our pricing is per day, not per seat: $2,500/day for up to 10 people. The full customer support path is 7 days, so a complete engagement for a team of 10 is $17,500 — the same price whether you send 5 people or 10. There are no minimum seat requirements and no per-head licensing, which is where enterprise providers usually become expensive for support teams. Shorter engagements are available if you only need specific modules.
What is the ROI of AI training for customer support?
Published industry benchmarks put AI customer service returns at roughly $3.50 per $1 invested with a 3 to 6 month payback, driven mainly by cost per conversation falling from $6-12 for human handling to $1-2 for AI resolution. Training changes where you land in that range rather than creating the return outright: teams that deploy without evaluation frameworks routinely ship agents that deflect tickets while quietly lowering CSAT, which erases the saving. We would rather set that expectation honestly than promise a specific multiple for your organisation.
Will AI replace our support team?
Not in the deployments we see working. The pattern that succeeds is AI handling high-volume repetitive contacts while human agents move to complex, high-value, and escalated cases — which usually raises the skill requirement for the team rather than shrinking it. The pattern that fails is automating everything and treating handoff as an afterthought. This training is explicitly built around the first model, and a large part of it is deciding what should not be automated.
Do our support agents need coding experience?
Not for the whole path. "Foundations of Agentic AI" and "Advanced Prompt Engineering" require no coding, so support leads, QA analysts, and knowledge managers can take those alongside engineers. The RAG and conversational agent courses do assume Python at an intermediate level. Most support organisations send a mixed group: everyone attends the first three days, engineers continue into the technical build.
How long before our team ships something?
Teams typically leave the RAG course with a working prototype grounded in their own help centre content, because we use your documentation as the dataset during the exercises rather than a generic sample corpus. Getting that to production depends on your review and release process, but most teams have something in front of internal users within a few weeks rather than a few quarters.
Can you use our actual tickets and help centre content?
Yes, and we recommend it — training on your real content is what makes the difference between a demo and something shippable. We can work from exported help centre articles and anonymised ticket samples, and we will sign an NDA before you send anything. If your data cannot leave your environment, we can run the hands-on portions against a structurally similar public dataset instead.
Ready to Train Your Team?
Tell us about your team and goals. We'll create a custom training plan with the right courses, schedule, and pricing for your organization.
Free consultation · No minimum seats · 100% satisfaction guarantee