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Agent Assessment_Dark Mode
DISCOVER YOUR AGENTIC-READY PROCESSES

Prove Agentic AI Value Before You Build

Agent Assessment evaluates your workflows for AI-agent readiness, simulates the ROI, and provides migration recommendations, so your team knows what to improve next and why.

Agent Assessment Dashboard
PLATFORM COMPATIBILITY

Works With Your Stack

Inventory Management Sync
Agent Fit Tier: Intermediate
0 / 100
Agent Fit Score
85 / 100
  Intermediate
Logic 0 / 100
 
Measures task variability. Low = rule-based; high = requires judgment/generalization.
Adaptability 0 / 100
 
Measures how much the system must adapt over time. High = memory, personalization, or policy drift handling.
Outcomes 0 / 100
 
Measures predictability of 'one right answer.' High = multiple acceptable answers with confidence.
Actioning 0 / 100
 
Measures current reliance on humans (review/approval/exception handling). Higher = agents can add value by coordinating people-in-the-loop.
Integration Surface 0 / 100
 
Measures integration surface/orchestration complexity. High = agents shine as routers/decision-makers across tools.
Agent Fit Score-1

Agent Fit Score

Know exactly which RPA processes are ideal candidates for AI agent optimization, with a five-dimension scoring framework that evaluates logic, outcomes, adaptability, and more.

KEY FEATURES

Score, Simulate & Migrate

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Agent Fit Score

A five-dimension scoring framework built for evaluating agentic readiness across logic, outcomes, adaptability and more.

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ROI Simulation

Compare your current classic RPA total cost of ownership against projected AI Agent run-rate.

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Migration Readiness

Each process surfaces a migration readiness analysis with estimated effort, a recommended migration path, and a list of prerequisites.

AI Assistant (1)
AI Assistant

An AI-powered conversational interface for exploring agent design and refining process concepts.

PDF Proposal
Proposal Builder

Generate a migration proposal with Agent Fit scores, ROI projections, and migration priorities into a shareable document.

How It Works

Four simple steps to assess your RPA workflows for AI-agent readiness, simulate the ROI, and get an action plan for migration.

1
Connect process data

Connect your production environment via the API connector or upload an Excel file with your process catalog data using the template.

2
Score Agent Fit

Get an automatic Agent Fit Score across all your processes, and compare your process maturity against industry benchmarks like Gartner's Agent Assessment framework.

3
Simulate the ROI

Compare your current RPA run-rate against projected AI Agent costs. Configure license, maintenance, and ops inputs to reflect your real environment.

4
Get migration guidance

Explore your processes recommended migration path and prerequisites, then use the proposal generator to share your insights with stakeholders.

500

processes analyzed

2.5

projected license savings in pilot roll-outs

40

faster agent deployments vs. manual migration

Watch the Demo

Frequently Asked Questions

Agent Assessment is a beta product. These are the questions we hear most often from teams evaluating it for their first automation portfolio review.

Does Agent Assessment work with all RPA platforms?
Yes, organizations running UiPath, Blue Prism's Chorus, Automation Anywhere, or other RPA tools can still use Agent Assessment by uploading a formatted Excel file with their process data. The assessment, scoring, and ROI modelling features work the same way regardless of how the processes were originally built.
What data does Agent Assessment need to get started?
How are Agent Fit scores calculated?
What does a strong vs. weak migration candidate look like?
Can I export the analysis results?

Ready to see which bots are agent-ready?

Agent Assessment is available now to a limited set of beta clients. If you're interested in analyzing your environment for agent-readiness, book a demo with our team!

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