IBM Watson Orchestrate
Return time to your teams with their own digital employee
Overview
Code-free automation
IBM Watson® Orchestrate, a 2022 CES Innovation Award Honoree¹, empowers your team with AI-powered digital employees working across existing business apps to take on time-consuming tasks. Watson Orchestrate uses AI to interpret and combine skills needed to complete assigned tasks based on deep company understanding and prior interactions.
Why Watson Orchestrate
Revolutionize how you work
Gain efficiency with everyday automation
The digital employees do tasks — send emails, schedule meetings and pull reports from Workday or Salesforce — in apps and tools already in use.
Streamline work
The digital employees have the unique feature of memory and business context, so conversation doesn’t restart with every new interaction, saving you time.
Ready to deliver
A catalog of integrations and templates extends capabilities for digital employees to meet your needs in human resources, sales and more.
Explore the possibilities
Analyst viewpoint
50%
time reclaimed with AI-powered automation.²
80%
automation leaders expect to beat competitors' revenue.³
1.5x
NPS by 2025 from AI-powered enterprises.⁴
Keep exploring
What IBM Watson and AI-powered automation can do
Automation and digital employees
Learn about augmenting your team, automating day-to-day work and elevating employees to prioritize.
IBM AI-powered automation
Discover The Art of Automation from IBM Fellow and CTO Jerry Cuomo.
Take the next step
Discover how Watson Orchestrate and IBM Automation can revolutionize your workday
Footnotes
Slack is a registered trademark and service mark of Slack Technologies, Inc.
¹ Source: CES 2022 Innovation Award Product, Watson Orchestrate (link resides outside of IBM)
² Source: Skill Shift Automation and the Future of the Workforce (PDF, 1.6 MB, link resides outside of IBM)
³ Source: IBM Institute for Business Value: Automation and the future of work
⁴ Source: Future-Proof Your IT Architecture and Business with Hybrid Multicloud and AI (PDF, 2.6 MB)