Number of Seats/Users: Aivo 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 Aivo 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 Aivo. Aivo reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: Aivo 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 Aivo. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: Aivo 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 Aivo tends to shine for teams that want to scale support quickly without heavy technical work.

From what our Spendbase clients say, the strongest points are:

• Fast time to value
• Clients consistently highlight how quickly they can get an AI bot live across multiple channels.
• The “bot within 72 hours” promise is often met or exceeded in practice.

• Live Chat being free for 3 months lowers the barrier to testing and rollout.

• Effortless setup and maintenance

• The Knowledge Manager is praised for being friendly to non‑technical users.
• Support teams are able to update FAQs and flows themselves, without engineering help.

• This reduces both implementation and ongoing maintenance costs.

• Good balance between AI and human agents

• The AgentBot handles a large share of repetitive questions, improving first‑response times.
• When issues get complex, handoff to human agents through Live Chat is smooth.

• This hybrid model helps reduce backlog and lets agents focus on high‑value cases.

• Impact on costs and efficiency

• Our clients report:
  • Fewer tickets reaching human agents
  • Lower cost per interaction
  • Better coverage during peak hours and off‑hours

• Many describe it as a practical way to scale support without hiring at the same rate.

• Reporting and optimization

• Advanced reporting is used to track:
  • Containment rate (how many interactions the bot resolves itself)
  • Agent workload
  • The most frequent questions and friction points
• These insights help teams improve content and adjust staffing.

At the same time, our internal data also indicates a few recurring pain points:

• Results depend heavily on having well‑structured knowledge content.
• Some teams wish for even deeper native integrations with their existing tools.
• Very advanced or niche use cases may still require custom work.

Overall, Spendbase clients see Aivo as a strong fit if you want:

• Quick deployment of AI support across channels
• A no‑code way to manage knowledge and flows
• A blended AI + human agent experience that cuts costs while keeping service quality high