AI messaging in customer service is being driven by CX vendors, not end users. Technology vendors are the ones telling you what you need and what is happening in the industry. People like our CEO Tom Laird, and like a lot of contact center professionals, do not have the platform or following to say "that is not what we are seeing."
The Real State of AI in Contact Centers
We are not seeing anything that a lot of these contact center technology providers are providing. They are making people make really poor decisions when it comes to what they should be buying, what they should be purchasing, how they should be setting things up.
The other unsaid truth: many companies do not actually need AI-driven virtual agent technology. Maybe 5 to 10% of companies can really find value in customer-facing AI compared to what they would have from a regular self-service model.
The Real Cost of AI
Everyone thinks AI is just snapping your fingers and paying nothing. That is not reality. Setup fees are expensive. Minimums for large third-party AI and analytics companies are extremely expensive. Per-minute usage fees add up fast.
You are looking at platform fees, setup fees, per-minute usage costs, and ongoing maintenance and development. Whether you try to build it yourself or hire a third party, it is going to be expensive.
What Actually Works
Agent tools are straightforward and they work. Auto summarization, agent assist, auto QA. These are more basic integrations that deliver real value without massive infrastructure investment.
Start with the tools that produce immediate ROI. Auto QA is one of them. You do not need to rebuild your entire tech stack. You do not need a team of prompt engineers. You need a tool that scores your calls against your form and gives your supervisors data they can act on today.
That is what OttoQA does. No hype. No six-figure implementation. No 12-month ramp. Send us your QA form, we score 200 calls for free, and you decide if the data is worth it.