Workflow automation technique has develop into a board-level precedence as a result of COOs are underneath strain to supply measurable effectivity good points. However a sample retains repeating throughout digital workplaces: automation will increase throughput, will increase exercise, and will increase system complexity, whereas significant output barely strikes. Leaders then conclude automation ‘doesn’t work’. In actuality, automation labored precisely as designed. It scaled the workflow. The issue is that the workflow by no means deserved to outlive.
For UC Right now readers, this isn’t an summary operations drawback. Trendy workflows run by collaboration programs. Requests are available by chat, e mail, and conferences. Approvals stay in message threads. Observe-ups occur throughout channels. When automation accelerates these loops with out deleting them, it amplifies the coordination load that already slows organisations down. Automation ought to delete work. If it solely hurries up handoffs, it scales work as an alternative.
For this reason workflow optimisation vs elimination is a very powerful distinction for awareness-stage leaders. Optimisation makes a foul workflow quicker. Elimination removes the necessity for the workflow solely. Solely elimination produces sturdy enterprise automation effectivity.
Why does automation fail to remove work?
Direct reply: Automation fails to remove work when it targets duties as an alternative of outcomes, and when it preserves approval chains, handoffs, and reconciliation loops that create the workload.
Automation generally begins with the seen ache: guide steps, repetitive admin, and sluggish routing. Groups construct bots to generate tickets, put up updates, summarise conferences, and create duties. These automations improve movement, however they usually go away the work construction intact. The organisation nonetheless has the identical variety of choices, exceptions, and dependencies. It simply reaches them quicker.
That’s the core cause why productiveness automation ROI plateaus. You get early wins from eradicating keystrokes. Then returns flatten as a result of the remaining work just isn’t keystrokes. It’s coordination, ambiguity, and governance. These points can’t be ‘automated away’ with out altering the workflow itself.
What processes shouldn’t be automated?
Direct reply: Don’t automate workflows that exist solely due to damaged governance, duplicated programs, unclear possession, or poor knowledge high quality.
If a workflow exists as a result of groups don’t belief knowledge, automation will scale distrust and create extra audit work. If it exists as a result of no person owns the choice, automation will create extra escalations. Moreover, if it exists as a result of two programs each declare to be the supply of reality, automation will merely speed up reconciliation and create new failure modes.
A sensible COO take a look at: if the workflow disappeared tomorrow, would the enterprise break, or would it not merely expose a design flaw that you’ve been compensating for? If it will expose a flaw, repair the design first. Then automate what stays.
UiPath positions automation as one thing that have to be paired with course of understanding and governance, not simply instrument deployment. That framing is helpful right here as a result of it places consideration on what’s being automated and why, not simply how.
“Automation works finest when it’s utilized to well-understood processes and ruled responsibly throughout the enterprise.”
How does automation scale inefficiency?
Direct reply: Automation scales inefficiency when it will increase throughput in workflows that also depend upon sluggish human choices, guide exception dealing with, and cross-team coordination.
You see the signs rapidly:
Extra tickets, identical decision time: consumption turns into simpler, backlog grows.
Extra alerts, much less readability: notifications improve, choices don’t.
Extra duties, weaker possession: duties get created routinely, then bounce between groups.
Extra summaries, extra checking: AI output will increase, however people nonetheless validate and reformat.
For this reason automation inefficiency usually seems to be like success in dashboards. Exercise climbs. ‘Time saved’ will get claimed. However coordination load rises quietly. Folks spend extra time managing work artifacts as an alternative of finishing outcomes.
The place do organisations optimise pointless workflows?
Direct reply: Organisations optimise pointless workflows in areas the place coverage has drifted, programs overlap, and approvals substitute for belief.
The most typical locations embrace:
Approval chains: approvals persist lengthy after the danger they have been created for disappears.
Standing reporting: work will get tracked as a result of leaders don’t belief visibility or possession.
Information re-entry: the identical info will get typed into a number of programs of report.
Assembly follow-up: coordination exists as a result of choices are unclear within the second.
Handbook reconciliation: groups repair inconsistencies created by fragmented instruments.
These are the workflows that ought to be eradicated, not automated. They don’t seem to be ‘course of’. They’re compensation.
ServiceNow constantly frames the transfer from fragmented instruments to a system of motion as the trail to actual effectivity. That perspective aligns with elimination-first automation as a result of it targets the underlying coordination drawback, not simply floor duties.
“A single system of motion helps organisations join folks, processes, and knowledge to drive quicker outcomes.”
How ought to enterprises method work elimination?
Direct reply: Enterprises ought to redesign workflows to take away non-value work first, then automate the simplified workflow finish to finish with clear governance and end result measurement.
A sensible elimination-first method seems to be like this:
Outline the result: what does ‘carried out’ imply, and who owns it?
Map the workstream: embrace channels, approvals, programs, and exception paths.
Delete non-value steps: take away standing loops, duplicate checks, and legacy approvals.
Exchange approvals with coverage: use thresholds and guidelines to take away human gating the place attainable.
Repair the supply of reality: remove double-entry and reconciliation by design.
Automate the brand new move: now automate finish to finish, with logs and audit trails.
Measure outcomes: time-to-decision, time-to-completion, exception fee, rework fee.
That is the quickest path to sustainable enterprise automation effectivity. It additionally produces a stronger ROI narrative for COOs. Not ‘we automated 40 steps’, however ‘we eliminated 12 steps, lowered touchpoints, and lower completion time by half’.
Backside line: in case your automation technique makes work transfer quicker however not end sooner, it’s scaling the workflow, not eliminating it. The subsequent section of automation success just isn’t extra bots. It’s fewer workflows.
FAQs
Why does automation fail to remove work?
As a result of many programmes automate duties whereas preserving the workflow construction, together with approval chains, handoffs, and reconciliation loops. That scales exercise with out deleting work.
What processes shouldn’t be automated?
Don’t automate workflows that exist as a consequence of poor knowledge high quality, duplicated programs, unclear possession, or damaged governance. Repair the design drawback first.
How does automation scale inefficiency?
It will increase throughput in flawed workflows, creating extra tickets, extra alerts, extra duties, and extra evaluate work, whereas completion time and output stay unchanged.
The place do organisations optimise pointless workflows?
In legacy approval chains, standing reporting loops, knowledge re-entry throughout a number of programs, assembly follow-up cycles, and guide reconciliation work brought on by fragmented instruments.
How ought to enterprises method work elimination?
Begin by defining outcomes, mapping the workstream, deleting non-value steps, changing approvals with coverage, fixing programs of report, then automating the simplified move and measuring outcomes.
