Number of Seats/Users: Virtual Agent offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows Virtual Agent that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from Virtual Agent. Virtual Agent reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: Virtual Agent offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from Virtual Agent. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: Virtual Agent often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase, our internal data shows that Verizon’s Virtual Agent is delivering strong value, especially around consistency, self‑service, and cost control.

From what our Spendbase clients share, three main themes stand out:

1. Service quality and customer experience
   – Clients see faster answers across websites, chat, and phone, with fewer escalations to live agents.
   – The AI’s ability to pull content from existing business systems and knowledge bases is praised for keeping responses accurate and on‑brand.
   – A common note: once properly configured, the Virtual Agent gives a very consistent experience across all digital channels.

2. Operational efficiency and savings
   – Many clients report:

   • Noticeable drop in routine support tickets
   • Shorter call handling times
   • Reduced need for overnight or peak‑time staffing
   • Our internal data shows that organizations using Virtual Agent as a first‑line support layer often unlock meaningful savings in their support budget and improve agent productivity.

3. Implementation and maintenance
   – Spendbase clients appreciate:

   • The ability to integrate with existing CRMs, knowledge bases, and third‑party content
   • Flexible configuration of intents and FAQs as the business evolves
   • However, several note that the best results require:
   • A clear content strategy
   • Ongoing tuning of conversations
   • Cooperation between IT and customer support teams

4. What clients like most
   – Consistent answers across channels
   – 24/7 availability without extra staffing
   – Lower wait times and fewer transfers to agents
   – Good fit for high‑volume, repetitive questions

5. Common pain points
   – Initial setup can be time‑intensive, especially for complex products or policies.
   – If knowledge bases are outdated, the Virtual Agent reflects those gaps.
   – Some clients mention a learning curve in optimizing conversational flows.

In summary, our internal Spendbase insights show that Verizon’s Virtual Agent works best when it is treated as a strategic self‑service hub, not just a simple chatbot. Companies that invest in clean data sources and ongoing optimization see the strongest savings, higher customer satisfaction, and more scalable support operations.