IBM® watsonx™ Orchestrate® leverages AI to automate complex workflows. The solution helps build, deploy, and manage AI assistants and agents. It offers a catalogue of pre-built agents and tools, low-code agent builder, multi-agent collaboration capabilities, and integrations with enterprise apps.
$530
per month
Twilio
Score 7.8 out of 10
N/A
Twilio offers a CPaaS and CCaaS solution, with the combination of its programmable Voice, Video, and Messaging APIs, as well as the Twilio Flex cloud contact center. Additional capabilities include Twilio's Elastic SIP Trunking, as well as API for WhatsApp.
$0
per min per participant
Pricing
IBM watsonx Orchestrate
Twilio
Editions & Modules
Essential
$500
per month per subscription
Essentials
$500
per month Per subscription
Standard
Enterprise
Standard
Enterprise
per month Per subscription
Programmable Video
$0.0015
per min per participant
WhatsApp Business API
$0.0042
Per WhatsApp Template message sent
WhatsApp Business API
$0.005
Per WhatsApp session message
Elastic SIP Trunking
$0.007
Per min for termination
Programmable Messaging
$0.0075
per message sent or received
Programmable Voice
$0.0085
per minute to receive a call
Programmable Voice
$0.013
per min to make a call
Elastic SIP Trunking
$0.045
Per min for origination
Twilio Conversations
$0.05
per active user per month
Twilio Authy
$0.09
per authentication
Programmable Wireless
$0.1
per MB
Twilio Flex (Contact Center)
$1
per active user hour (5000 hours free)
Programmable Wireless
$2.00
per SIM card
Twilio SendGrid Email API
$14.95
per month up to 100k emails. (Up to 40k emails free for 30 days)
Twilio SendGrid Marketing Campaigns
$15
per month for 5,000 contacts and 15,000 emails. Your first 2,000 contacts are free
Twilio Flex (Contact Center)
$150
per named user per month (5000 hours free)
Offerings
Pricing Offerings
IBM watsonx Orchestrate
Twilio
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
Optional
Additional Details
IBM watsonx Orchestrate can be deployed and run on IBM Cloud, AWS, or on-premises. Prices shown are indicative, may vary by country, exclude any applicable taxes and duties, and are subject to product offering availability in a locale.
1. Pay-as-you-go pricing: Simple usage-based pricing without contracts.
2. Volume discounts: Discounts trigger as usage grows.
3. Free trial credit that includes full API access.
I selected IBM watsonx Assistant so I could maintain the NLP/NLU processing from our last supplier (which was not Twilio). Since we switched, I have not liked IBM watsonx Assistant so much. We are sincerely thinking about changing it to a new one, the Kore.AI which seems easier …
IBM Watson's assistant uses AI that helps to understand and translate the user requirements and conversations to provide fast and accurate results that help to optimize the business processes. It is a highly reliable and secured bot solution as compared to the other similar …
In our case, it is well-suited for workday integration, which allows us to automate the entire workflow. However, we are still working on the O9 platform integration, which we feel is less appropriate, and integrating the workflow into the platform.
I found Twilio to be excellent and very easy to use for a programmer in all aspects related to voice, SMS, and other features utilizing their API. I found the node client to be excellent and helpful. We previously used the Apex client for Salesforce before it was discontinued. Although we try not to use Twilio from Apex anymore, using that client was easier than implementing our own.
New and improved natural language processing yielding better results helps the assistants understand the intention behind the query.
Preserves context of communication, allowing the customers to establish inquiries on the website and continue on the mobile app without having extra informational input.
Intelligent conversations mean that complex paths that are branched based on the user's inputs allow for a much more natural flow of the conversation than fixed scripts.
I think that it needs to be able to integrate better with the knowledge catalogs. It currently provides a default database, which isn't quite large enough for enterprise use. We can connect that then to an external source, but it'd be nice if we could able just to instantiate one straight away.
Segment’s email identifier is case-sensitive, which is ridiculous because emails themselves are not case-sensitive. This means that if I send a capitalized email address in an identify call, it will create a duplicate user rather than matching it with the lowercase email. I think this is a technical oversight that should be corrected.
I’d like to see more information about the eventual transition of existing Frontline customers to Twilio Flex
I’d like to see some integrations between Twilio Studio and OpenAI or another open source LLM to provide automated responses, if this hasn’t been done already
I would like to be able to drag and move the actual lines connecting the steps in Twilio Studio, sometimes mine can get pretty messy
I think a Bug Report form would be beneficial for developers
Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. Action flow and dialog flow we are currently in chatbot.
Unless we can get this handled quickly -- less than 1 week -- we will likely switch to another provider who, in my opinion, we'll have to spend close to $3,000 in development time to build a new integration for texting. Our clients need texting and I feel Twilio has failed us miserably.
With the growing use of AI and chatbots, it's very easy to use, and the conversational language makes it easier than keyword searches in a document. The contextual language processing is impressive. It's easy to integrate into our internal portal. The use of this tool would depend on each company's security and data sensitivity.
Twilio has well documented APIs and examples. There are several tutorials, videos and Q&As regarding their services. So, usability is very good. I must say that advanced knowledge of telephony, API/Programming and error-handling is essential to make good use of Twilio. It's not just plug-and-play unless you are integrated with a system that has all of the programming built for it.
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
Twilio executes what it is designed to do: send SMS messages at scale while providing very good deliverability. I believe that Twilio is very good at what we use for adding SMS messages to our comms strategy. We can see those messages get opened and replied to, which is exactly what we are looking to achieve.
We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).
I have not had to communicate with Twilio support in the last 3 years but my past experience with them has been very positive. They replied to my previous requests promptly and kept me well informed to resolve my inquiries. With their documentation that's available, I hardly imagine why anyone would need to contact support since it's all there in a concise and easy to understand format. It would probably take you longer to type out a support ticket than to just open their doc websites.
Make has more community of workflows to follow that have been redeveloped and are available for download. Selecting WxO is based on our trust level with IBM and the propositions of the Granite model being less biased, more business trained, and the ecosystem allowing for expansion with Assistant and Discovery.
We evaluated many fundraising-based text-to-give programs and found the subscriptions prohibitively expensive for our small scale and uncertain first few years of development. While we may be willing to invest that kind of money after discovering how things work, we're happy with Twilio now and have no desire to start over.
From past 3+ years I am using IBM Watson in our current project easily can implement and manage and monitor user how their using. Is there and update also just update dialog is just enough to change no need to touch any other templates. Multiple language will support, and action and dialog speak recognize chatbot we can create as per client requirement. Overall, as of now good experience with IBM Watson.
By automating tasks that would otherwise require human intervention, organizations may achieve cost savings in terms of labor, especially for handling large volumes of routine inquiries.
Virtual assistants can handle a large number of simultaneous interactions, making them scalable to accommodate growing customer bases and increasing workloads without a linear increase in staffing.
