NEW · Process Intelligence

See the work before you automate it.

MILO Process Intelligence turns privacy-safe workflow observations into a management map of recurring processes: what happens, how often, how long it takes, and where an AI agent may create the greatest value.

Structural observation only Data minimization Management review
Opportunity matrix
Illustrative synthetic example
1
2
3
4
5
→ Frequency↑ Cycle time
  1. 1.Policy Issuance
  2. 2.Missing Documents Follow-up
  3. 3.Customer Details Update
  4. 4.Claim Reporting
  5. 5.Policy Status Check
Four management questions

From browser activity to management insight

01

What work repeats?

MILO identifies recurring structural workflow patterns and their variants.

02

How much time does it consume?

  • Observed executions
  • Median cycle time
  • P90 cycle time
  • Total observed cycle time
03

What should be automated first?

Prioritization combines the following signals:

  • Frequency
  • Duration
  • Workflow stability
  • Automation potential
  • Risk
  • Confidence
04

What is the potential ROI?

The model separates what was measured, what was estimated as a business assumption, and what was calculated:

  • Potential annual hours saved
  • Potential financial value
  • Payback period

Estimates are not guaranteed savings.

Product journey

From observation to AI agent

  1. Observe
    1
  2. Detect
    2
  3. Classify
    3
  4. Measure
    4
  5. Prioritize
    5
  6. Model ROI
    6
  7. Build AI Agent
    7

MILO can suggest process classifications based on structural evidence. When confidence is insufficient, management review can confirm or rename the business process. Not every process is automatically understood semantically without review.

Executive outcomes

What management receives

Process Map
Process Execution Volume
Median & P90 Cycle Time
Automation Opportunity Ranking
Potential Annual Hours Saved
Potential Financial Value / Payback
Illustrative synthetic example

What the opportunity map looks like

Every number below belongs to an illustrative synthetic example. It does not represent a customer or a real measurement.

#ProcessObserved executionsMedianP90Automation potentialConfidence
1Policy Issuance41211.4m22.8mHigh88%
2Missing Documents Follow-up2686.2m14.1mHigh81%
3Customer Details Update1974.5m9.7mMedium74%
4Claim Reporting13315.8m31.2mMedium63%
5Policy Status Check3582.1m4.6mLow57%
Illustrative synthetic example

ROI model — example

Example process: Policy Issuance

MEASURED
Observed Process Duration
11.4m
ESTIMATED
Annual Process Volume
4,900
ESTIMATED
Human Time Savings Rate
65%
CALCULATED
Potential Annual Hours Saved
605h
CALCULATED
Potential Financial Value
₪ 108,900
CALCULATED
Payback Period
4 months

Potential ROI is based on explicit business assumptions and is not a guarantee of realized savings.

Why this matters

The evidence layer before automation investment.

Organizations frequently know repetitive work exists but cannot quantify it. Without evidence, the decision of what to automate is based on intuition.

  • How much repetitive work exists?
  • Where is employee time actually consumed?
  • How many process variants exist?
  • Which automation initiative should come first?
  • Is the economic opportunity large enough to justify building an AI Agent?
Trust and privacy

Process discovery without collecting content

MILO Process Intelligence is based on structural observation: the sequence of steps and their timing, not the field values entered. Data stays scoped to the organization and remains subject to management review.

Read the security model
  • Structural workflow observation
  • Data minimization
  • Discovery without field values
  • Organization-scoped governance
  • Confidence indicators
  • Management review
  • MILO approval and audit controls

Start from evidence, not from guesswork

A Process Discovery Pilot gives management a process map, measured timings and a ranked opportunity list before any automation decision.