Top 10 Process Intelligence Agents 2027

The Root Cause Analysis Agent answers the question that follows every KPI: why? It compares affected and unaffected cases, uses the dependencies in the causal process graph and draws on company knowledge. In 2027, exactly this explanation decides whether agents act in the right places.

• Answers questions such as: why are deliveries late, why do approvals take so long?
• Measures the share of affected cases and the deviation per attribute from the average
• Quantifies a factor’s contribution to added duration and shows upstream events

Keep in mind: Proposed causes are decision support and should be checked against business knowledge and alternative explanations before measures follow.

The Structural Deviation Analysis Agent checks every case against the expected flow in the process graph. It finds skipped activities, swapped sequences, extra steps, loops and wrong end points. That makes it the foundation of every further analysis – only known deviations can be assessed or automated.

• Answers: does the process run the way it should – and where does it not?
• KPIs: conformance rate, deviations by type, affected cases and variants
• Assesses the time impact of deviating cases compared with conforming ones

Keep in mind: The agent needs an agreed expected flow; without it, legitimate variants cannot be separated from error patterns.

The Compliance Agent checks whether processes follow internal policies, approval limits, the four-eyes principle and segregation of duties. Instead of sampling, it checks every case in a perspective and names the broken rule for each finding. As requirements for controls grow, this full check is likely to become standard in 2027.

• Answers: where were approvals bypassed, where were there segregation-of-duties conflicts?
• KPIs: violation rate per rule, missing approvals, after-the-fact purchase orders
• Takes the rules from the Context Hub instead of hard-wired logic

Keep in mind: The results are only as good as the stored rules – policies and approval limits must be kept current and complete.

The Automation Potential Agent shows which process steps are suitable for automation – and which are not. It finds activities performed often, uniformly and manually, checks for fixed rules and estimates the working time freed up. In 2027 it provides the reliable shortlist of where RPA, workflows or AI agents should actually start.

• Answers: which steps are worth automating, which are already automated?
• KPIs: automation rate, manual volume, uniformity of an activity
• Estimates time savings based on processing times or assumptions

Keep in mind: Time savings are an estimate; whether a step should be automated also depends on exceptions and business rules that people assess.

The Cycle Time Analysis Agent measures how long processes take – from the first to the last step and between every activity. It compares cycle times across variants, periods and case attributes and explains why some cases take much longer. Instead of an average it delivers the distribution, with median and outliers.

• Answers: which segments cost the most time, and how is that developing?
• KPIs: cycle time, median and percentiles, transition time between activities
• Shows the trend over weeks, months or quarters

Keep in mind: Reliable cycle times require clean timestamps and a clear case definition.

The Waiting Time Analysis Agent finds the time in which nothing happens in a process: work waits for approvals, replies or the next batch run. It measures idle times between activities, shows where they pile up and uses process data and company knowledge to explain why. This is often the biggest lever for shorter cycle times.

• Answers: where does work sit idle, and at which times in particular?
• KPIs: waiting time per transition, total waiting time, waiting time share of cycle time
• Detects time patterns by weekday, time of day or part of the month

Keep in mind: Without start and end times per activity, waiting and processing time can only be separated approximately.

The Rework Analysis Agent finds the places where processes do work twice: invoices changed several times, orders sent back to review, documents requested again and again. It calculates the rework rate, quantifies extra effort and added cycle time and shows the causes behind the loops.

• Answers: which activities are repeated, and what does that cost?
• KPIs: rework rate, repetitions per activity, first time right
• Quantifies the added duration of cases with rework

Keep in mind: Not every repetition is an error – whether a loop is legitimate needs a business assessment.

The Working Capital Analysis Agent shows where capital is tied up in processes and where money flows too early or too late. It combines process data from purchase-to-pay and order-to-cash with amounts, payment terms and conditions. That turns process analysis into a direct liquidity question.

• Answers: do we pay before the due date, lose cash discounts, why do customers pay late?
• KPIs: DPO, DSO, payment before due date, cash discount utilization
• Links process steps to amounts rather than to times only

Keep in mind: Besides events, the agent needs amounts, payment terms and conditions from the financial data.

The On-Time Performance Agent measures how reliably processes keep their commitments: delivery dates, service level agreements, legal or contractual deadlines. It shows the share of on-time cases, the size of delays and the step where time is lost. It also finds open cases whose deadline has already passed.

• Answers: do we keep our commitments, and where is time lost?
• KPIs: on-time rate, OTIF (where quantities are available), SLA compliance
• Shows delays in days as median and distribution

Keep in mind: Without a committed date or deadline per case, on-time performance cannot be measured.

The WIP Analysis Agent answers a question classic cycle time analyses leave out: what is open in the process right now? It counts every case started but not yet completed and shows which step each one is in and for how long. A growing backlog becomes visible while it builds up – not after the fact.

• Answers: how much is open, where is it, and is the backlog growing?
• KPIs: work in progress per step, age of open cases, throughput
• Inflow/outflow balance per period as an early warning signal

Keep in mind: The agent depends on current data; the less often data is imported, the later a backlog shows up.