Process Intelligence for Automation Centers of Excellence Leaders
You automated the obvious. Now the pipeline is empty and every new candidate lacks a business case. KYP.ai refills the CoE pipeline with ROI-ranked opportunities discovered from real operational data.
TRUSTED BY AUTOMATION AND EXCELLENCE TEAMS WORLDWIDE
What Process Intelligence Means for an Automation CoE
Process intelligence for an automation center of excellence is continuous, data-driven discovery and prioritization: a pipeline of automation candidates captured from real work, ranked by quantified ROI, and delivered with the context needed to build what gets approved.
A CoE governing a pipeline of workshop-sourced guesses governs noise. A CoE governing ROI-ranked candidates from observed work governs a portfolio.
Why Automation CoEs Stall
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The pipeline dried up after the easy wins. Discovery was exhausted after the obvious automations shipped. New candidates come from workshops and wish lists, not data.
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Every candidate fights for budget without evidence. The CFO blocks investment when there is no credible ROI projection. Without quantified business cases, prioritisation is politics.
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The CoE sees self-reported, fragmented data. Each department reports in its own format, late, and only what it chooses to share. The CoE governs from a partial picture.
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Best practices cannot be identified or scaled. Some teams execute a process in half the time. Without visibility into how, their approach stays anecdotal and unreplicable.
How CoE Teams Use KYP.ai
A Single Source of Process Truth
The 360 Enterprise View captures process execution across every desktop, system, and location, continuously. Mindsprint onboarded 600+ processes across 1,200+ employees and compressed what would have been 15 years of manual value stream mapping into real time.
A Pipeline Ranked by ROI, Not Volume
The KYP.ai Business Transformation Engine quantifies inefficiencies and calculates automation ROI per process. It separates what CAN be automated from what SHOULD be automated, so CoE resources go where the returns are.
From Discovery to Deployed Agents
KYP.ai’s Agentic AI Enabler generates production-ready agent code with structured business context. It’s platform agnostic by design: UiPath, Power Automate, BluePrism, n8n, Camunda, or whatever your CoE already runs. Via the MCP Gateway, agents can query process ground truth directly at runtime.
Key Use Cases for CoE Teams
Where automation CoEs apply process intelligence first:
Pipeline Discovery
Always-on capture of 100% of human work surfaces candidates that workshops and event logs miss, including the manual steps between systems.
ROI-based Prioritization
The CAN vs. SHOULD distinction turns prioritisation meetings into arithmetic. Every candidate carries inefficiency cost, expected return, and payback.
Conformance Monitoring
Continuous comparison of actual execution against documented standards. Automations stop breaking on undocumented variants.
Best-practice
Standardization
Identify the fastest team’s variant, standardise on it, then automate the standard rather than the exception.
Agent Code
Delivery
Production-ready agent code generated with structured business context, deployable on the platforms the CoE already governs. Agents query process ground truth at runtime via MCP.
Refilling the Automation Pipeline: Three Ways
Most CoE discovery methods were built for the first wave of automation. KYP.ai is built for what comes after.
DIMENSION
PROCESS CONSULTING
TASK MINING TOOLS
KYP.AI PROCESS INTELLIGENCE PLATFORM
Discovery method
Workshops and interviews
Screenshot capture, manual start/stop
Always-on capture of 100% of human work
Data quality
Interview-based descriptions
Non-deterministic computer vision
Full-context capture at scale
Scale
One area per engagement
Breaks beyond small pilots
Proven at 10,000+ concurrent workstations
Privacy
N/A
Screenshot exposure, employee resistance
On-device anonymisation at source, granular configuration
Output
Recommendations deck
Activity logs
ROI-ranked pipeline plus production-ready agent code
KYP.ai Capabilities for the CoE
Governance, discovery, and delivery on one data layer.
CoE Results
Verified outcomes. The customers own them; KYP.ai supplied the data.
CUSTOMER
OUTCOME
DETAIL
Mindsprint
600+ processes onboarded
1,200+ employees covered. 15 years of manual value stream mapping compressed into real time.
Atos (Client Zero)
56% automation potential identified
400+ use cases in development or deployed across all business functions, from a Client Zero deployment.
Allied Global
10,000 to 15,000 hours recovered annually
10 to 15 minutes per FTE per day across 4,300+ employees. 3.0x ROI with payback in under 5 months.
From Deployment to Measurable Returns
Step by Step List
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Step 1: Deploy Setup in minutes, live in days. Always-on capture with less than 2% CPU, across Windows, macOS, Citrix, and VDI.
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Step 2: Discover Statistically relevant insights in 3 weeks. The pipeline refills with ROI-ranked candidates from real operational data.
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Step 3: Act Measurable returns in 90 days. Agent code deploys on the platforms your CoE already governs.
RECOGNIZED BY LEADING INDUSTRY ANALYSTS
Frequently Asked Questions
How does a CoE refill its automation pipeline after the easy wins?
With continuous, automated discovery instead of workshops. KYP.ai surfaces opportunities from 100% of captured work, including the human steps between systems that event logs miss, and ranks them by quantified ROI.
How do we prioritise between automation candidates?
KYP.ai distinguishes between what can be automated and what should be automated. Each candidate carries quantified inefficiency cost, expected return, and payback period, so prioritisation is arithmetic rather than politics.
How is this different from the task mining we already tried?
Screenshot-based task mining breaks under enterprise conditions: privacy exposure, manual activation, non-deterministic results, pilot-scale limits. KYP.ai runs always-on with on-device anonymisation at source and is proven at 10,000+ concurrent workstations.
Does the agent code work with our existing RPA stack?
Yes. The code is platform agnostic by design: UiPath, Power Automate, BluePrism, SAP Joule, n8n, Camunda, ServiceNow, CrewAI, or anything else you already run. Your platform choice, our intelligence.
Can the CoE monitor conformance after standardisation?
Continuously. KYP.ai compares actual execution against the documented standard with drill-down to teams and variants, so deviations surface as they develop rather than at the next audit.
How quickly can a CoE show results?
Setup in minutes, live in days, statistically relevant insights in 3 weeks, measurable returns in 90 days. Most environments are live within days. Book a demo to see what that looks like for yours.
Refill Your Pipeline with Opportunities That Pay
ROI-ranked discovery from real operational data, and the agent code to act on it. On whatever platform you already run.
About KYP.ai
KYP.ai is an agentic process intelligence platform built on three pillars: a 360° View capturing real-time data across your organization's people, processes, and technology; a Business Transformation Engine that quantifies inefficiencies and calculates automation ROI; and an Agentic AI Enabler generating ready-to-execute agent code with structured business context.
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Performing value stream mapping manually for all those processes with a team of 5 people would approximately take me 15 years. KYP.ai’s process discovery module enabled capturing events data digitally and remotely, thus enabling digital value stream mapping at scale.
Krishna Ramkrishnan Director & Head Operational Excellence, Governance and V&C, Business Process Services, Mindsprint