Home / Whitepaper / Conversational AI: Buy vs Build, The Ultimate Guide
Whitepaper
Free Download
Conversational AI: Buy vs Build, The Ultimate Guide
An end-to-end guide to help you determine whether you should buy or build your conversational AI solutions. There is no right or wrong. There are only benefits and trade-offs that are entirely dependent on your business environment, vision, drivers, strategy, people, culture, and budgets.
6 approaches
to implementing conversational AI
7 key considerations
for choosing your conversational AI strategy
250+
conversations with industry leaders
30 days
claimed deployment time for some off-the-shelf solutions
About this report
When you begin to formulate your customer experience and conversational automation strategy, you have a decision to make. Should you buy your conversational AI capabilities off-the-shelf? Or should you build them from the ground-up? Are those the only options, or is there something in-between?
Should you outsource the whole thing, keep it in-house or is there another option? What are the pros and cons of all the above approaches? And what’s the best approach for you?
This guide has been created to answer the above questions and help business decision makers formulate their conversational automation strategies effectively.
What's inside
A description of 6 approaches to implementing conversational AI
7 key considerations that are crucial to making the right decision
An analysis of how each approach scores against each of the 7 key considerations
A framework to help you decide which approach is right for you
In this exclusive interview, we speak with Jerry Haywood, CEO of boost.ai, and Ankur Kothari, co-founder and COO of Automation Anywhere, about the proposed combination.
When is an AI agent ready to go live? Discover how development testing, stress testing and clear pass/fail criteria help build confidence before deployment.
AI agent testing is evolving rapidly. Explore the growing market of evaluation, automated testing, observability and security tools, and why tools alone aren't enough.
