Abstract illustration of interconnected workflow nodes and dashboards representing a digital process automation solution

Digital Process Automation (DPA) Solutions: What They Are and How They Work in 2026

ByAlex Morgan

Key takeaway: A digital process automation (DPA) solution is software that runs an entire business process from start to finish — not just single tasks — by orchestrating people, systems, and data through visual, low-code workflows. Coined by Forrester Research in 2017 as the evolution of business process management, DPA now blends AI decision-making into end-to-end digital flows.

What digital process automation is

Digital process automation is software technology used to both automate a process and optimize the workflow within that process, according to TechTarget’s definition. Its defining trait is scope: instead of copying clicks on a single screen, a DPA solution coordinates every handoff, approval, and system update across a complete workflow, from the first request to the final sign-off.

The term was coined by Forrester Research in 2017 as a replacement term for business process management (BPM). The rebrand reflected a real market shift: nimbler, low-code tools that plug into cloud and API-driven systems, replacing monolithic BPM suites that needed expert coders. In practice, DPA solutions run the workflows businesses live on — employee onboarding, loan origination, customer support intake, IT service requests, and order fulfillment — each involving multiple people, several applications, and decisions no single script can handle.

How DPA solutions work

Most platforms take a manual process digital through the same sequence: map the process as it actually runs today (modern tools can reconstruct this from system logs via process mining); design the flow in a visual, low-code designer, with exceptions routed back to humans; connect the systems — CRM, ERP, email, document stores — with prebuilt connectors so data moves without retyping; add AI that reads documents, triages tickets, and scores or routes work; then monitor cycle times and bottlenecks on dashboards to keep improving the process.

Forrester splits the field into DPA-deep (complex, transformative projects needing skilled technologists) and DPA-wide (lighter tools business users manage themselves). One caution: vendors pitch DPA as drag-and-drop work anyone can do, but Forrester’s Q3 2025 DPA Wave called that citizen-developer promise “largely overstated” — experienced professionals deploy most projects (as summarized by GainHQ). Budget for expertise, not just licenses.

DPA vs RPA vs BPM: how they compare

Forrester principal analyst Craig Le Clair draws the cleanest line: “The DPA world is about transforming a process; it’s about creating a new process.” His rule of thumb for when RPA is the wrong tool: RPA bots tend to break when they must make more than five decisions, manipulate more than five applications, or execute more than 500 clicks — that multi-decision, multi-system territory is where DPA earns its keep.

DPA RPA BPM
Scope End-to-end business processes Single repetitive tasks Process modeling and governance
Typical work Onboarding, loan origination, customer intake Data entry, copying fields between screens Process discovery and optimization
Who builds it Technologists (deep) or business users (wide) Developers and RPA teams Process analysts
Primary goal Transform the whole workflow Save steps on one screen Measure, control, refine processes

Why businesses are buying DPA solutions now

Mordor Intelligence values the digital process automation market at $15.4 billion in 2025, rising to $17.16 billion in 2026 and $29.52 billion by 2031 — an 11.44% compound annual growth rate. The firm describes a decisive shift: enterprises moving from task-centric RPA toward data-driven, AI-augmented hyper-automation, with generative models, process-mining diagnostics, and event-driven orchestration built into unified low-code platforms.

The payoff is concrete in at least one flagship use case: intelligent document processing paired with decision automation has cut manual effort in loan origination by 40–60% at leading banks, per Mordor. Cloud deployments now account for over half of new rollouts, North America is the largest market, and Asia-Pacific is growing fastest. Established vendors include Pegasystems, Appian, IBM, Oracle, ServiceNow, Microsoft (Power Automate), SS&C Blue Prism, and UiPath. For related automation reading, see our guides to automating IT operations and AI agents for business automation.

How to choose a digital process automation solution

Start with one high-friction process — onboarding and invoice approval are classic first candidates — and require the vendor to map it in a pilot. Decide deep vs wide honestly: complex, multi-system flows need skilled implementers. Check integration connectors for your actual CRM, ERP, and identity systems before anything else, insist on audit trails and role-based access (especially in regulated industries), and price the three-year total — license plus implementation plus support — not just the license.

Analysis: where DPA is heading

The following is analysis based on the sources above, not a reported fact. DPA is consolidating into AI-first orchestration platforms: generative AI drafts the flows, process mining finds the bottlenecks, and agents execute the steps. The credible vendors are the ones shipping audit-ready governance alongside the AI, because enterprises increasingly buy automation for compliance and customer outcomes, not task counts. The riskiest bet remains the “anyone can build it” pitch — Forrester’s 2025 finding suggests the skills gap is the real constraint on DPA adoption.

Frequently asked questions

What is a digital process automation solution in simple terms?

Software that automates a whole business process from beginning to end — every approval, handoff, and system update — instead of one small task at a time. Think of it as the digital conveyor belt moving work between people and apps, with AI handling the decisions it can and routing the rest to humans.

How is DPA different from RPA?

RPA mimics a human clicking through one application’s screens for repetitive tasks. DPA orchestrates multi-step workflows across many applications, including human approvals and AI-powered decisions. If the job needs more than about five decisions or five applications, Forrester’s Craig Le Clair notes RPA bots tend to break — that is DPA territory.

What processes do DPA solutions automate?

Common examples include employee onboarding, loan and mortgage origination, customer support ticket routing, IT service requests, invoice approval, and order fulfillment — all long sequences of steps across several systems, with judgment calls that keep them from being fully hands-off.

Do you need developers to use a DPA solution?

Complex, transformative projects (Forrester’s DPA-deep) need skilled technologists, and the firm’s Q3 2025 Wave found the citizen-developer promise largely overstated. Simpler departmental workflows (DPA-wide) can genuinely be built and maintained by trained business users on low-code platforms.

How much does a DPA solution cost?

Pricing varies widely — per-user seats, per-process fees, and consumption-based models are all common, and implementation services often exceed the license cost. Vendors rarely publish list prices, so request a three-year total-cost estimate (license plus implementation plus support) scoped to your first process before comparing platforms.

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