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

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

Early Renewal or Prepayment: InfiBot 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 InfiBot is delivering solid value across three main areas: automation quality, customer experience, and cost efficiency.

From what our Spendbase clients share with us, the biggest positive themes are:

1) Customer experience & satisfaction
– Clients report faster responses, especially for common queries like balance checks, branch timings, and simple account questions.
– Many highlight that conversations feel “human-like” thanks to NLP and sentiment analysis.
– There is a clear drop in wait times when chatbots and voice bots handle first-line support.

2) Operational efficiency & cost optimization
– A large portion of incoming tickets are now resolved via self-service, reducing the volume for live agents.
– Our internal data shows that clients often see:
– Fewer repetitive calls and chats to the contact center
– Better agent productivity, as agents focus more on complex issues
– Lower average handling time for escalated cases because the bot already captured context
– Several clients mention that this automation translates into meaningful savings on support headcount or overtime.

3) Intelligence, context, and scalability
– Spendbase clients value that InfiBot can predict intent and keep conversations contextual across steps.
– The ability to collect and use customer preferences for future interactions is seen as a strong plus.
– InfiBot appears to scale well during peak periods, absorbing spikes in basic inquiries without performance drops.

Some common areas for improvement that our internal data surfaces:
– Initial setup and training can require more time and guidance than expected, especially for teams new to AI.
– A few clients would like even deeper reporting and more plug-and-play integrations with existing CRMs and help desks.
– Fine-tuning intent detection for niche industry use cases can take iterative work.

Overall, our Spendbase clients see InfiBot as a strong fit if you are:
– Handling a high volume of repetitive customer questions
– Looking to introduce or upgrade self-service within your contact center
– Aiming to reduce support costs without hurting customer satisfaction

From a Spendbase discount perspective, this kind of tool tends to pay off most when you actively route the maximum number of routine tasks through the bot and use the insights on preferences and sentiment to continuously refine your flows.