Conversational AI Platform

I used Accenture Conversational AI to resolve customer inquiries. I started working as a customer support analyst focused on ticketing, and the tool was used to resolve customer inquiries, automatic tier one support triage, and streamlining conversational routing to human agents. It was used to filter the queries we were getting on a daily basis so that queries were filtered and sent to the direct competent agent.

We received different types of queries, and Accenture Conversational AI helped with customer inquiries and ticket triage. There were queries regarding onboarding, transaction status checks, and transactions paused for admin action. The AI was configured to answer most of these queries that did not need human intervention. For queries requiring us to react, such as onboarding requests, the AI was escalating to the direct support agent. Most of our queries regarding transaction status checks, to understand if a transaction was completed or failed, were resolved quickly by this conversational AI tool.

Accenture Conversational AI helped my team reduce the volume of tickets we were getting on a daily basis in a significant way. It sped up our resolution time because most of the issues that a human being could take five minutes to handle were tackled in seconds by the AI tool. After resolving issues, there was a data analysis component where the AI could tell us the number of requests we were getting on a daily basis and what we could do to prevent those requests from coming. In addition to supporting with real-time answers, the AI was providing us with real-time data.

The best features Accenture Conversational AI offers in my experience include support with responding to agents and pre-built industry configuration. Based on our industry, the AI was configured to use the language we use on a daily basis. Someone working in FinTech cannot have the same language as someone working in the hotel industry.

Accenture Conversational AI provided conversation analytics and insights on a weekly or daily basis. The tool could provide us with a detailed dashboard tracking containment rates, drop-off points, and intent accuracy. It clarified customer sentiment so that we could build on different features we were already offering to our partners. We were also able to create features based on different needs picked up by the AI from the conversations it was receiving. Robotic Process Automation was very important when it came to native connectors that let conversational flow trigger back-end transactional workflows like balance lookup, account update, ticket generation, and transaction status checks. Those were very impactful features for my team.

Accenture Conversational AI impacted my organization positively by revealing that the volume of queries a human agent was treating had reduced considerably and customer satisfaction rate had increased because the AI was able to provide direct responses to our partners. The majority of our requests were about transaction posts for admin action and transaction status checks. When the AI started answering these tickets, it was a great period for us because the AI was working toward providing timely responses and our partners were happy. We have also seen an increase in client acquisition because of word-of-mouth marketing. When people are satisfied with your product and support team, they tell others that the company is doing well because responses are always available. The good thing about Accenture Conversational AI is that it works even at night and on weekends, every day and any time. This has impacted our organization by revealing that we are closer to our partners.

Nothing is perfect in the world, and I can say Accenture Conversational AI can be improved in several areas. The initial setup, training dataset integration, and edge case prompt tuning have a steep learning curve. Custom integration with proprietary back-end database APIs often requires significant technical support. The tool is better suited for medium to enterprise support teams dealing with high volume inquiries. I would like them to increase the customization capabilities so that the tool can grow as our company grows.

I have used it for three years.

I have not experienced any downtime with Accenture Conversational AI. Maintenance was planned ahead, and we were informed before it occurred. Every software undergoes maintenance, and this was frequent, but we were informed of the specific period when maintenance would happen. We informed our partners in advance. I did not experience any downtime where the software went down without being informed. The tool is very stable.

Accenture Conversational AI is very scalable. We have grown with it, and we noticed a huge number of partner acquisitions. I give scalability a rating of eight out of ten.

Accenture Conversational AI's customer service team has been helpful at some points, but I give them a rating of seven out of ten because there were times we contacted them and did not get a response, even though we were in need of quick support.

I have used Sprout Social and Zendesk AI before Accenture Conversational AI. I am not the one who makes decisions regarding tool selection. Even though I am a senior partner support analyst, I work under a partner support manager and head of support. The decisions are taken at a higher level. Even though we provided essential feedback on the necessity of having such an application, those making the decision ultimately chose to switch to Zendesk. After using Accenture Conversational AI for three years, I believe the organization has enjoyed the benefits. We have switched to Zendesk, so perhaps Zendesk has more to offer, but I cannot confirm this because I was not part of the decision-making process.

The major challenges we faced were when we started using the application. There was significant miscommunication regarding training and user onboarding for my team, as we were the ones handling integration. We did not receive very strong support when it came to integration. The learning material was not complete. It took considerable time for us to fully integrate and use the application at its full capacity. I recommend that they work well on the onboarding process, as this will make the application shine and encourage people to subscribe to the tool.

For the thousands of customers we were handling on a daily basis, Accenture Conversational AI was great because my team was not large. When it comes to money saved, I can mention customer retention at the high percentage I provided. Regarding efficiency, we were able to handle all customer queries without neglecting or ignoring any partners. Premium and default partners were all served well. The return on investment is great and very positive.

I was not involved in the acquisition process. The acquisition occurred before I joined the company, but they acquired it for my customer support team. Regarding pricing, I believe it is very good because the company supported the pricing throughout the three years we used it. The setup was complicated when it came to human configuration, but the licensing was good and the pricing was correct. Given our budget, it was good, which is why I think we used it for three years.

I did track specific metrics and numbers regarding reduction in ticket volume, faster response times, and improvements in customer satisfaction. Accenture Conversational AI has improved our customer satisfaction rate by ninety-five percent because we are always resolving queries. What pushes partners to give complete satisfaction is when their request is resolved in less than five minutes, in less than ten minutes, or is resolved within the SLA resolution time. It also sped up our full-time resolution time. Even new employees who were not well-trained were supported by this tool. We noticed a ninety-five percent improvement in customer satisfaction rate. We achieved one hundred percent full-time resolution for the different queries the AI was able to resolve, such as transaction status checks and many other issues we trained the AI to tackle. We also noticed a very significant improvement in customer retention because all our customers remained with us because they were happy. I can say we achieved one hundred percent retention rate. Regarding acquisition, I cannot quantify this because I do not work in the commercial department, but I have seen many partners joining because of word-of-mouth marketing.

I give Accenture Conversational AI a rating of eight out of ten because the application is very good and is working for the services we are paying for. I removed two points because there is room for improvement regarding onboarding and personalization of the application according to the company. They have much to do in these areas. Additionally, we are not getting timely support from them, which is something they should consider.

Accenture Conversational AI's AI capabilities demonstrate strong governance and security, and we felt safe using the application. We did not notice any data breach or privacy issues. I could give a rating of nine out of ten for security because the application is very good, only authorized people can access it, and we did not experience any security concerns. During these three years, we felt confident about privacy and compliance, ensuring that everything was secure.

I will give Accenture Conversational AI a rating of ten out of ten for accuracy because the responses are very accurate. All responses given to customers are correct and are based on our FAQ. I have never seen Accenture Conversational AI providing a wrong response. Accuracy is one hundred percent.

For a company that does not have a large budget for designing support based on AI, Accenture Conversational AI is an excellent choice because it is very affordable and very reliable. I do not see any downtime, and even though the support team is not fast when we need them, they are there and eventually solve the issues raised. It is very good and integrates well. For a company with five hundred members and one thousand customers, this tool would be a very good fit. What I can tell them is that Accenture Conversational AI is trainable and easy to train so that it can adapt to your industry terms and language and react as needed. My overall rating for Accenture Conversational AI is eight out of ten.

Accenture Conversational AI has helped us to build AI-enabled microservices that help us to frame Spring Boot and write backend microservices that we could direct into Accenture Conversational AI model endpoints. I usually use it for coding the REST and GraphQL APIs that conversational agents dynamically invoke to retrieve customer data or execute backend actions.

The distiller framework is an advanced agent layer allowing my team to build autonomous agents capable of multi-agent collaboration, complex reasoning, and structured multi-turn goal execution. The distiller framework has allowed my team to build a reliable agent communication system that enhances efficient collaboration between our team and in our enterprise. When we are brainstorming on a project, we usually use this platform to collaborate efficiently and reason as a team.

There is also the hybrid intent approach that blends the trained intent path for strict business compliance with generative AI to provide natural language flexibility such that this hybrid intent approach provides clear and efficient natural language flexibility that can convert any language to a user-based language. It is very efficient when it comes to language orchestration.

Our communication infrastructure has developed in such a way that when we have data, it can be easily analyzed using the AI system to get the most useful information that helps us to implement most projects in our enterprise. The system has been reliable and most of the services it has provided have performed quite well. I do not think there are any downtimes or any bottleneck that prevents us from working efficiently while we use this platform.

I could pick the integration side and documentation.

I have been using Accenture Conversational AI for the last one year.

I can give it a rating of nine out of ten because the performance has been efficient and most of the projects that we have implemented using Accenture Conversational AI have come out successfully.

Accenture Conversational AI is highly scalable because it has been evaluating inbound queries and outbound responses for potential policy violations and harmful content. It ensures that the content that is converged through the system does not violate conversational policy and adheres to set enterprise policies.

The customer support was reliable. They have been very responsive. When we call them, they are active twenty-four seven. They respond very fast and they do not keep us queuing. They are very friendly and professional.

We settled on Accenture Conversational AI for the first time because it was the one that aligned with our enterprise use cases and we could not engage other platforms because this one was accurate and it was the one that suited our enterprise.

My experience with pricing has been efficient and the setup cost is affordable, which was within our budget. The license is very flexible because they usually give you the option of subscribing up to the period when you are capable. The timelines of payment are reasonable, as they may give you some grace period for initiating the full payment process. They are very friendly, the team is professional, and they provide clear primary training when they give you the system package after deployment.

The system has been reliable and most of the services it has provided have performed quite well. I do not think there are any downtimes or any bottleneck that prevents us from working efficiently while we use this platform.

My experience with pricing has been efficient and the setup cost is affordable, as it was within our budget. The license is very flexible because they usually give you the option of subscribing up to the period when you are capable.

Accenture Conversational AI is deployed on-premises. It has saved us a lot of time and cost. When it comes to cost of conversation between our teams, it enhances clear, reliable conversation that meets our needs. That saves time because conversation between teams has been streamlined via the API agent that makes everything clear. I can totally recommend this platform because it has an advanced document analysis and translation that helps companies to save on token costs and it supports multilingual support. It can support most languages including English, Spanish, and any language from any country, and it is highly flexible when it comes to communication within an enterprise and outside the borders. I rate this product nine out of ten.