High Costs
$350K per year in SaaS fees.
A cloud-native conversational AI platform designed to replace a costly third-party chatbot while improving control, responsiveness, and containment.

The case study describes a cloud-native chatbot replacing an expensive third-party platform. The design combines deterministic handling for known questions, retrieval-augmented generation for more complex requests, and sentiment-aware routing to live agents.
The existing commercial chatbot model created cost, customization, and data-control concerns.
$350K per year in SaaS fees.
Rigid workflows limited the ability to tailor experiences.
The organization did not have the level of control it wanted over the platform.
Natural-language understanding for conversational interactions.
Stateless logic execution for chatbot workflows and known-query handling.
Omnichannel interface and live-agent handoff.
Knowledge-based answers for requests that need retrieval and generative AI.
Lambda functions handle known query patterns efficiently.
Bedrock's Claude model handles more complex queries using retrieval-augmented generation.
Amazon Comprehend supports sentiment-based handoff when live-agent support is needed.
| Metric | Before | After |
|---|---|---|
| Monthly Cost | $29,000 | $2,700 |
| Escalation Rate | 58% | 22% |
| Yearly Savings | N/A | $316,000+ |
Responsive chat widget.
Transfer to live agents when needed.
Monitor performance metrics.
With Arina Technologies, we didn't just replace a vendor—we unlocked a capability. Our AI chatbot is faster, cheaper, and truly understands our customers.
Design a conversational AI experience around your knowledge, security needs, integrations, and escalation model.