Find Where AI Agents Belong
Not every task should be automated. Not every process needs a copilot. AI Discovery uses real execution data to identify where AI augments human judgment — and where it doesn't.
Automation vs. Augmentation
The Automation agent finds RPA candidates — repetitive, deterministic sequences. AI Discovery targets something different: judgment-heavy work where GenAI and copilots augment human decisions.
Automation (RPA)
- › Repetitive, deterministic click sequences
- › Rules-based decisions with clear inputs/outputs
- › High frequency, low variability
- › Best solved by: RPA bots, scripted automation
AI Augmentation
- › Drafting, classification, coding, research tasks
- › Judgment-heavy with variable inputs
- › Human-in-the-loop for quality and compliance
- › Best solved by: GenAI copilots, LLM agents
How AI Discovery Works
The AI Discovery agent mines execution data to find judgment-intensive task patterns and scores each for AI augmentation potential.
1
Mine Patterns
Identify judgment-intensive tasks from execution telemetry
2
Score Potential
Rate each task for AI augmentation vs. full automation fit
3
Quantify Impact
Generate risk-adjusted savings estimates for each opportunity
4
Recommend
Evidence-backed deployment recommendations with clear rationale
Automation Readiness Score
Every candidate task receives a score from 0-100 based on four weighted factors. This isn't a guess — it's computed from real execution patterns.
30%
Pattern Frequency
How often the pattern occurs across the workforce
30%
Decision Complexity
How much judgment is required vs. rules-based
20%
Data Structure
Structured inputs vs. unstructured documents
20%
Cross-App Scope
How many systems the task spans
Where AI Discovery Drives Value
Wherever judgment-heavy work runs across systems — front office to back office, in every industry — AI Discovery separates what to augment from what to automate.
Customer Service
Find which contact-center tasks — triage, response drafting, knowledge lookup, escalation handling — benefit from copilots vs. scripted macros.
Order Management
Spot where order exceptions, fulfillment trade-offs, and proactive status updates can be AI-augmented — and where deterministic rules already suffice.
Claims Management
Identify which claims tasks — intake, document extraction, adjudication, fraud review — are augmentation-ready vs. straight-through automation.
Warranty & Service
Discover where warranty eligibility, claim validation, and abuse detection need human judgment that AI can accelerate.
Procurement & Accounts Payable
Surface where invoice exceptions, vendor inquiries, and PO/contract classification call for AI assistance over rigid rules.
IT & HR Service Desk
Pinpoint where ticket triage, response drafting, and knowledge retrieval benefit from copilots across IT and employee support.
KYC & Financial Crime
Identify which analyst tasks — research, narrative drafting, risk classification — benefit from AI augmentation vs. manual review.
Customer Onboarding
Find where document processing, data validation, and decisioning can be accelerated with AI without compromising compliance.
Advisory & Wealth
Discover where portfolio research, client communication drafting, and market analysis are augmentation-ready.
Know Where AI Belongs Before You Deploy
Stop guessing which workflows need AI. Let execution data tell you.