Transitioning to AgenticAutomation
6 Part webinar series by the UiPath Community
March ā April 2025
2.
2
Meet the team!
SatishPrasad
Solution Consultant @ IRIS
UiPath MVP
Rohit Radhakrishnan
Community Lead - Asia Pacific & Japan
@ UiPath
Mannoj Batra
Vice President @ NatWest Group
UiPath MVP
Mukesh Kala
RPA Manager @ Boundaryless Group
UiPath MVP
Vibhor Shrivastava
Director Community Advocacy
@ UiPath
Andreea Tomescu
Community Manager
@ UiPath
4
4
Limited process
visibility
Limited insightinto
how work gets done,
making it hard to
monitor, improve, and
automate processes
effectively
Cross dependent
tasks
Complex processes executed
by people, AI agents, and
robots, can run into errors,
inefficiencies, and bottlenecks
Fragmented
automations
Automated tasks often exist in
isolation, managed by different
teams or departments. This
can lead to a lack of
coordination, inefficiency,
duplication of efforts
Key challenges when scaling from task
automation to agentic automation
ā72% of organizations found that their real-world, mission critical processes were becoming more complex to
maintain.
Source: Moving past Gen AIās honeymoon phase: Seven hard truths for CIOs to get from pilot to scale, May 2024
5.
5
Agentic automation isincomplete without
agentic orchestration
Scale automation
end-to-end
Integrate disparate automated tasks
into cohesive processes, leveraging
UI, API, IDP, AI-powered
automation, and human-in-the-loop
interventions
Orchestrate a hybrid
workforce
Continuously orchestrate the flow of
tasks in end-to-end processes and
across systems, ensuring UiPath
agents, third-party agents, UiPath
Robots, and humans work together
for better outcomes.
Monitor
processes
Use AI-powered discovery to get a
360° view of processes to monitor
processes continuously and identify
automation and transformation
opportunities
Limited
process visibility
Cross-dependent
tasks
Fragmented
automations
6.
6
What is agenticorchestration?
Agentic orchestration empowers you to design, implement,
monitor, operate, and optimize your long- running enterprise
processes.
By seamlessly orchestrating robots, AI agents, and people
within a unified workflow, businesses will be able to gain
continuous insights into key performance indicators (KPIs),
track the health of processes, and proactively address
inefficiencies.
Agentic orchestration is the key to scaling automation
effectively, ensuring processes remain adaptable, optimized,
and resilient across a hybrid workforce of digital and human
participants.
7.
7
Until now, youāvefocused
on orchestrating robots and people.
Are you ready to add
AI agents to the mix?
8.
8
UiPath Orchestrates agents,robots and humans
Agentic
Orchestration
Design, implement,
monitor, operate
and optimize your
processes
Optimize workflows executed
by AI agents, automations, and
human-in-the-loop
Automation, process intelligence,
modeling, monitoring, and
managementāall in one
platform
Use data to guide decisions,
while building, improving and
monitoring success along the
way
Agentic orchestrationstarts
with process diagramming and
optimization.
Private preview in December 2024
9.
9
Process Modeling
Process owners(typically in business
teams)
Process
Implementation
Automation developers (typically in
IT/Automation COE)
Process Operations
and Monitoring
Process operations teams and admins
UiPathĀ® Maestro capabilities and target personas
Process Optimization
Process excellence/analysis teams and
process admins
10.
10
Deploy in
AKS/EKS
Kubernetes
cluster
Deploy in
AKS/EKS
Kubernetes
cluster
Deployin
AKS/EKS
Kubernetes
cluster
Deploy in
AKS/EKS
Kubernetes
cluster
Deploy in
AKS/EKS
Kubernetes
cluster
How agentic orchestration works across
the end-to-end process lifecycle
Model Implement Operate Monitor Optimize
Automations Systems
Manual Tasks
AI agents
End-to-end processes
Design end-to-end
agentic processes
using industry-standard
BPMN constructs
Integrate agentic tasks,
RPA, human-in-the-loop,
API events, and advanced
decisioning into processes
Control specific
instances as they
progress through the
process, including
operational analytics
Gain insight into historical
instance executions, with
analytics integrated into
your BPMN models
Use data to understand
and improve KPIs,
leveraging simulation and
bottleneck detection.
11.
11
Design robust
processes
Create, importand edit BPMN 2.0
models to bring clarity and efficiency
to your processes. Leverage standard
and UiPath extension-based elements
to model the complete, end-to-end
process.
Model
12.
12
Streamline BPMN
modeling with
Autopilot
Boostproductivity with
Autopilot for Developersā
create and edit BPMN & DMN
models along with expressions
using natural language.*
Model
*Available in Public Preview
13.
13
Orchestrate agents,
robots, andpeople
across end-to-end
processes
Seamlessly integrate agentic tasks
(UiPath or third-party), RPA, human-in-
the-loop, and API events into your
processes to maximize productivity.
Leveraging UiPath project and solution
management capabilities.
Implement
14.
14
Business rules
configuration
Use industry-standardDecision Model
& Notation (DMN) to add business rule
tasks and manage decisions within
processes. Import and export decision
models for easy integration with
external systems and use versioning to
track and manage changes.
Implement
*Available in Public Preview
15.
15
Process overview
dashboard
Essential informationabout your
orchestrated processes in one place,
including the total number of
processes, in progress and completed
processes, incidents and filtering
capabilities.
Operate
16.
16
Oversee and trackspecific
instances as they progress through
different stages of processes.
Leverage capabilities to pause,
resume, edit variables, retry,
cancel, go to step, and migrate to
new version to manage unhandled
exceptions.
Operate
Instance
management
*Go to step available in Public Preview
17.
17
Default process-level dashboardsthat
provide insight into historical instance
executions, with the ability to create
customizable dashboards for further
analysis.
Process dashboards
Monitor
*Available in Public Preview
18.
18
Aggregated analytics atprocess and
node level such as execution count
and duration overlayed directly on top
of the BPMN model.
Process heatmap
Monitor
19.
19
Analyze end-to-end
business processesin
real-time
Leverage integrated Task and Process
Mining to analyze processes. Enrich process
analysis with context from system, user, and
task-level data. Continuously understand the
impact of automation on top-level KPIs.
Optimize Create Sales Order
*Available in Public Preview
20.
20
Reveal and remove
processinefficiencies
and bottlenecks
Leverage AI-powered process analysis
capabilities to uncover bottlenecks, root-
causes and inefficiencies to find out whatās
slowing your process down. Take decisive
action to streamline processes and drive
continuous process improvement.
Optimize
Improvement opportunity:
63.64% first time right
Significant root-cause identified
*Available in Public Preview