Workflow and Process Management
Workflow and Process Management tests whether you can model a real business process, route work items correctly, handle exceptions, and measure the result, rather than simply storing images.
Process design
Start with a swimlane map: roles across the top, tasks and decision points down the page. Define each task's input, output, owner, queue and completion rule. Routing can be sequential (one approver after another), parallel (all reviewers at once, then a join), conditional (rules on amount, vendor, risk) or ad hoc (unstructured collaboration). Ad hoc workflow suits correspondence; production workflow suits high-volume, repeatable transactions.
Rules, queues and service levels
A rules engine evaluates data captured at ingestion (amount, document type, customer tier) and decides the path without human touch. Straight-through processing rate is the share of items that never queue. Attach service-level targets and escalation to every queue, plus workload balancing and priority rules so one approver cannot become a bottleneck.
Exceptions and integration
Design the exception path first: missing data, failed three-way match, out-of-policy amount, unreadable page. Exceptions need an owner, a resolution form and a clock. Integrations matter too: REST or SOAP calls to ERP and master data, database lookups at the task, notifications, status callbacks. Most workflow failures are integration failures, not routing failures.
Measurement
Track cycle time (arrival to completion) separately from touch time (actual work), plus queue depth, aging, throughput, first-pass yield and rework rate. Simulate volumes before go-live, and version the process definition so an audit can reconstruct which rules were in force on a given date.
Worked example
Accounts payable receives 4,000 invoices a month. Captured header data triggers a three-way match against PO and receipt. Matched invoices under 2,500 currency units auto-approve and post to ERP; matched invoices above that route to the cost-centre manager. Mismatches go to an exception queue with a two-day SLA and escalate to the controller on day three. Reasoning: automation covers only the clean majority; the value comes from a bounded exception path and a measurable backlog.
Traps that cost marks
Automating a process before simplifying it. Modelling the happy path and forgetting rejection and rework loops. Measuring activity counts instead of cycle time and first-pass yield. Leaving queues without owners or escalation. Changing rules in production with no version history.