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AI Assistant Enhances Business Workflows

Key Points

  • Introducing an AI‑powered virtual assistant that plugs into business chatbots to handle routine, task‑oriented actions and extend the capabilities of core systems.
  • In CRM, AI can automate manual sales and customer‑interaction steps, generating proposals from existing content and crafting consistent outreach messages even for inexperienced users.
  • For case management, AI provides instant document summarization and fact extraction, allowing case managers to access key information quickly without manually sifting through multiple files.
  • In DevOps, AI‑driven code assistance helps developers locate API details, understand functions, and write better code, reducing reliance on external searches and speeding up development.

Full Transcript

# AI Assistant Enhances Business Workflows **Source:** [https://www.youtube.com/watch?v=T0ddxWoQ4No](https://www.youtube.com/watch?v=T0ddxWoQ4No) **Duration:** 00:08:43 ## Summary - Introducing an AI‑powered virtual assistant that plugs into business chatbots to handle routine, task‑oriented actions and extend the capabilities of core systems. - In CRM, AI can automate manual sales and customer‑interaction steps, generating proposals from existing content and crafting consistent outreach messages even for inexperienced users. - For case management, AI provides instant document summarization and fact extraction, allowing case managers to access key information quickly without manually sifting through multiple files. - In DevOps, AI‑driven code assistance helps developers locate API details, understand functions, and write better code, reducing reliance on external searches and speeding up development. ## Sections - [00:00:00](https://www.youtube.com/watch?v=T0ddxWoQ4No&t=0s) **AI‑Powered CRM Assistant** - The speaker proposes embedding an AI virtual assistant into CRM platforms to automate routine tasks, accelerate proposal creation, and empower new staff to engage with clients as effectively as experienced employees. ## Full Transcript
0:00I would like to talk to you today about 0:02a new assistant for business chatbots 0:05have become really cannibalized by 0:09organizations to to Really deliver um 0:13such mundane things at times like just 0:16simple task oriented stop that if you 0:20really think about it a conversational 0:22interface like a virtual assistant can 0:26um really Aid in the ability for 0:30you to extend your capabilities with 0:33your Core Business Systems how does this 0:36work well let's talk about customer 0:40relationship 0:42management so in 0:45CRM we have sales motions we have 0:50customer motions and a lot of 0:53those typically are manual type 0:57steps even with some of the most 1:00Advanced CRM platforms you're still 1:03clicking a lot and what if I were to 1:07suggest to you that if you had let's say 1:13AI 1:17embedded you could change the experience 1:21for the 1:23better let me explain 1:26why in CRM 1:30we have activities like customer 1:36interactions we have 1:39um 1:41activities 1:45that require us to 1:50propose but what 1:53if this system could leverage AI to 1:56accomplish those tasks well then my 2:01proposal process can leverage content 2:05inside my CRM system as well as other 2:08trusted systems to generate an actual 2:12proposal for a client in a much shorter 2:16time or my interactions with a client 2:20maybe that can be better sooner for 2:25example if I have a new person who is 2:28client facing 2:30and they're just learning the ropes 2:33their interactions won't be near as good 2:36as somebody who has been doing it for 2:39several years but the AI could allow 2:42that new person to create interactions 2:46like 2:47emails and 2:49Outreach with the same type of 2:53content in a robust 2:57message automatically 3:00so in a motion where we're interacting 3:05with our customer embedding AI can make 3:09things more consistent and efficient 3:14let's talk about another 3:16example case 3:20management case 3:22management is a 3:25scenario where typically you have 3:29documents 3:30that are complex they're full of 3:34information that has really lots 3:40of you know facts spread across multiple 3:44Pages sometimes multiple documents and 3:47sometimes these documents arrive at 3:49different times but as a case manager my 3:53job would be 3:55to try to progress that case along 4:00but I'm hindered by the fact that I 4:03actually have to dig into the content 4:05when it comes in and maybe I might not 4:08remember content as well that I've 4:12reviewed already but if we introduce 4:16AI then I can get a generated 4:25summary or I can get fact 4:28extraction 4:33at my fingertips in an automated 4:37way that augments my existing case 4:40management process but for the better so 4:43now as a case management person I can 4:47have more 4:49information faster without having to go 4:52into individual documents where the AI 4:54can actually look at those documents and 4:57summarize and harvest key facts for me 4:59quicker let's look at a third example 5:03development in 5:05devops I'm creating 5:09applications code components and let's 5:13be honest those developers out there you 5:16sometimes go to Google right just to 5:18figure out how a function works or how 5:21to um understand an API or a 5:24library but what if I leverage 5:27AI then I have code 5:32assistance and that code 5:35assistance can help me deliver better 5:39code because as I mentioned with the CRM 5:42example I am dipping into existing code 5:46repositories that are trusted inside my 5:49organization and I'm stitching them 5:52together for the particular need that I 5:54have at the moment as a developer so I 5:58can also increase 6:00consistency and 6:02quality so at our Core Business 6:07embedding 6:08AI gives 6:11us essentially a smarter 6:17process 6:19and it can 6:21increase 6:27consistency as well as 6:30productivity and that's the 6:32magic where 6:38productivity can allow me to produce 6:41more with less effort less 6:44friction and as I mentioned 6:47here using existing trusted information 6:51I can do it higher 6:54quality so when you look at embedding AI 6:59I M's 7:00approach using Watson 7:03X 7:04can be a differentiator for you simply 7:09because the Watson X platform 7:13can deploy these use cases at 7:18scale across the 7:21Enterprise they can be 7:28trusted trust is not just a technology 7:32it's an approach that involves 7:35constraints and principles of how we 7:37deploy and how to 7:40architect these types of use cases in a 7:43way that 7:45maximizes our trusted resources and 7:48finally we can deploy 7:51it 7:54anywhere we can build at once and deploy 7:58anywhere on any class 8:00CL or on PR using AI as a new assistant 8:05for business can help in your customer 8:07relationship management your case 8:10management or your development Ops 8:13simply by enabling you to have smarter 8:18process more 8:20consistency and greater 8:22productivity and you can deploy it at 8:25scale be trusted and deploy anyway 8:40more