Digital Process Automation Technology: What It Is, How It Works, and When to Use It
Key takeaway: Digital process automation (DPA) technology uses low-code platforms to automate entire business processes end to end — not just individual tasks. The term was coined by Forrester Research in 2017 as the evolution of business process management (BPM). Where robotic process automation (RPA) handles single tasks, DPA orchestrates people, systems, AI, and bots through one connected workflow.
What Digital Process Automation Technology Is
Digital process automation (DPA) is technology for automating complete business processes digitally, from the first request to the final outcome. It connects people, systems, and data so work stops bouncing between inboxes, spreadsheets, and disconnected apps. In plain terms: software platforms that model a full workflow — approvals, exceptions, human tasks, system updates — and run it with minimal manual effort.
The term comes from Forrester Research, which coined “digital process automation” in 2017, arguing that businesses were moving away from traditional business process management (BPM) software toward faster, low-code tools for digital transformation. Traditional BPM tools were often seen as cumbersome and dependent on specialist coders. DPA kept BPM’s core discipline — process modeling, rules, case management — and rebuilt it around low-code development, cloud delivery, and rapid application building.
DPA vs. RPA vs. BPM: How They Compare
The three acronyms get confused constantly. Here is a clean comparison:
| Aspect | RPA (Robotic Process Automation) | BPM (Business Process Management) | DPA (Digital Process Automation) |
|---|---|---|---|
| Scope | Single tasks | Processes (often slow to change) | End-to-end processes and digital journeys |
| How it works | Software bots mimic clicks and keystrokes | Workflow models managed by IT | Low-code platforms orchestrating people, systems, bots, and AI |
| Human role | Minimal — bots run unattended | Heavy — humans approve and intervene | Collaborative — humans handle exceptions and decisions |
| Best for | High-volume, rule-based data entry | Long-running, heavily governed processes | Customer-facing journeys: onboarding, claims, loan processing |
| Weakness | Breaks when the underlying app changes | Slow to deploy and adapt | Requires process discipline to pay off |
The practical rule of thumb, as one industry breakdown puts it: RPA says “do this task for me,” BPM says “manage this process,” and DPA says “digitize and run this entire workflow” (Cflow’s DPA vs. BPA vs. RPA comparison). Importantly, they are not rivals — Pegasystems notes that DPA platforms routinely orchestrate RPA bots as one step inside a larger automated case, rather than replacing them.
Why DPA Matters Now
Automation spending is consolidating around platforms rather than isolated tools: according to Gartner’s Market Share Analysis for Robotic Process Automation, Worldwide, 2024 (cited by Cflow), the RPA market grew 14.5% to $3.6 billion in 2024, even as generative AI slowed traditional bot growth — a sign the market is shifting toward workflow-aware automation, which is DPA’s territory.
Customer experience now also decides automation budgets. Traditional BPM optimized back-office efficiency; DPA targets the journey a customer or employee actually experiences — a loan application, an insurance claim, a supplier onboarding. DPA fixes the whole journey instead of polishing each step.
DPA Deep vs. DPA Wide: The Two Flavors
Forrester split DPA into two categories, and knowing which you need saves expensive mistakes. DPA Deep is the evolution of traditional BPM suites — platforms from vendors like Pegasystems, Appian, and IBM for complex, long-running processes with heavy governance needs. DPA Wide covers lighter, cheaper tools for simpler processes, aimed at business users — approval chains, request forms, department workflows.
The distinction matters because vendor marketing blurs it. Most vendors pitch DPA as drag-and-drop for anyone, yet experienced professionals deploy most DPA projects, according to Forrester’s Q3 2025 DPA Wave assessment. Pick the category for the complexity you actually have.
Real Examples of Digital Process Automation
DPA shows up wherever a process crosses departments and systems: bank account onboarding that combines identity checks, compliance screening, and account setup in one flow; insurance claims moving from intake through AI-assisted fraud scoring to adjuster review and payout; procurement workflows that handle requests, approvals, and ERP posting automatically.
These are the same end-to-end journeys we covered in our end-to-end process automation explainer, and DPA is the platform category built to run them.
Analysis: Where DPA Fits in Your Automation Strategy
The following is analysis based on the sources above, not vendor claims. Treat DPA as the orchestration layer of an automation strategy, not a replacement for everything else. RPA still wins for quick wins on legacy screens with no APIs; simple workflow tools still win for department approvals. DPA earns its cost when a process is cross-functional, exception-heavy, and visible to customers — that’s where orchestration, case management, and governance justify the platform. The honest risk: DPA projects fail the same way BPM projects failed — automating a broken process instead of redesigning it first. Start with one well-understood, measurable process, and expand from evidence.
Frequently Asked Questions
What is digital process automation in simple terms?
Digital process automation (DPA) is software that runs an entire business process from start to finish — approvals, exceptions, human tasks, and system updates — instead of automating one task at a time. It uses low-code platforms so processes can be built and changed faster than with traditional coded systems. Typical uses include customer onboarding, insurance claims, and loan processing.
What is the difference between DPA and RPA?
RPA (robotic process automation) automates individual repetitive tasks by having software bots mimic human clicks and keystrokes on a screen. DPA (digital process automation) operates one level up: it models and runs the entire business process, decides what happens next, routes exceptions to people, and often calls RPA bots as one step inside that larger orchestrated workflow.
How is DPA different from traditional BPM?
DPA grew out of BPM (business process management), and Forrester coined the term in 2017 to mark the shift. Traditional BPM tools were often slow, expensive, and dependent on specialist developers. DPA keeps BPM’s process-modeling discipline but rebuilds it around low-code tools, cloud delivery, mobile-friendly experiences, and faster deployment aimed at digital transformation.
What are examples of digital process automation?
Common examples include bank account onboarding that combines identity checks, compliance screening, and account setup in one flow; insurance claims that move from intake through AI-assisted fraud scoring to adjuster review and payout; and procurement workflows that handle requests, approvals, and ERP posting automatically. Any multi-step, multi-system process is a candidate.
What is DPA Deep vs. DPA Wide?
Forrester divides DPA into two types. DPA Deep tools are the evolved, full-featured BPM suites for complex, long-running, heavily governed processes like financial compliance. DPA Wide tools are lighter and cheaper, suited to simple processes and a wider audience of business users, such as approval chains and request forms.
Sources
- TechTarget — What is digital process automation (DPA)?
- Pegasystems — What is digital process automation?
- Cflow — DPA vs. BPA vs. RPA: Key Differences & How to Choose
- GainHQ — Digital Process Automation: Guide, Examples & ROI (2026)
