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ConsultEvo

Why Approval Workflows Break Even When Make Is in Place

Make can move an approval request between forms, CRMs, project tools, and notification channels. It cannot decide what the request means, who owns the decision, what information is sufficient, or how an exception should be handled. That is why an approval workflow can run without technical errors and still leave work waiting.

The central issue is usually not the absence of another router, reminder, or notification. It is an unclear operating process. A reliable approval workflow takes a complete request to a recorded decision through visible business states, named ownership, explicit rules, and a designed path for rejection, delay, reassignment, and missing information.

Use Make as the execution layer after those decisions are clear. It can route records, notify the right people, update systems, and create an audit trail. It should not be expected to compensate for incomplete intake, shared accountability, contradictory statuses, or approvals that happen in private messages.

What an approval workflow must make visible

An approval workflow is reliable when someone can answer five questions without chasing context:

  • What is being requested?
  • Is the request complete enough to decide?
  • Who is accountable for the decision?
  • Which rule determines the route?
  • What happens after approval, rejection, delay, or exception?

These are process questions before they are automation questions. Make can execute a defined route, but the business must define the states and decisions that the route represents.

Automation can move an approval request faster. It cannot make an undefined decision process reliable.

A useful distinction is between a technical event and a business state. “Notification sent” is a technical event. “Awaiting finance decision” is a business state. The first tells an operator what the scenario did. The second tells the team what can happen next. Approval reporting should be based primarily on the second type.

Why approval workflows stay slow after Make is implemented

1. The request is sent to a group instead of assigned to an owner

A shared inbox, chat channel, or team queue may improve visibility, but visibility is not accountability. When several people can approve a request, each person may assume another person will handle it. Absence and competing priorities create further delays when there is no named backup.

Assign one accountable decision owner at each approval point. A group can remain available for consultation or reporting, but the workflow should identify who must act, who covers the decision when that person is unavailable, and when escalation occurs.

2. The request enters the queue before it is decision-ready

Many workflows begin when a form is submitted or a record changes status. That event may trigger Make immediately, even though the approver is missing the budget, margin, scope, contract term, risk detail, or supporting document needed to decide.

This creates a misleading queue. The item appears to be waiting for approval when it is actually waiting for information. Those states require different owners and different actions. The requester or an intake owner should resolve missing data before the item enters the decision queue.

3. Decision rules exist only in people’s experience

Teams often know that a high-value discount needs finance review, a particular customer type needs additional scrutiny, or a delivery change requires a resource check. If those rules are not represented in structured fields and documented logic, the workflow depends on individual memory.

Make can apply conditions and branches, but it cannot infer a rule that the business has never agreed. Routing should use fields such as value, risk, request type, customer segment, geography, or change category wherever possible. If a route depends on judgment, define who makes that judgment and where it is recorded.

4. Every stakeholder is treated as an approver

People may need to be informed, consulted, or given decision rights. These are different roles. Making every stakeholder an approver creates unnecessary waiting and makes it difficult to identify who is responsible for the final outcome.

Separate notification from consultation and approval. A specialist may provide an input without owning the decision. An executive may need visibility without being part of every transaction. Each approval step should have a specific risk or authority reason behind it.

5. Exceptions leave the system of record

The normal path is usually straightforward. The real test is what happens when an approver rejects the request, a deadline expires, an owner is absent, the scope changes, or the requester cannot provide the required information.

If these events move into direct messages or informal conversations, the operational record becomes misleading. A request may still show as pending even though someone rejected it, or it may show as approved without recording the condition attached to that approval.

Why this matters

An exception is a normal business condition. The design failure occurs when its state, owner, next action, and decision record are not visible.

6. Statuses describe automation activity instead of business progress

Statuses such as sent, triggered, notified, and automation complete are useful for technical monitoring. They do not explain whether work can proceed. Stronger operational states include awaiting requester information, ready for finance review, returned for revision, approved for delivery, and blocked by exception.

A status should answer the question: what can happen next? If it cannot, it is probably an event label rather than a useful business state.

A practical design sequence before changing the scenario

Before adding another reminder or router, walk through the process in business terms. This sequence helps identify whether the problem is process design, data quality, ownership, or implementation.

01Define the requestState what is being requested, who can submit it, and which fields or documents must exist before it enters the approval process.
02Define the decisionSpecify what the approver is deciding, what evidence is required, and what approved, rejected, or returned means for the next team.
03Assign decision ownershipName one accountable owner, a backup owner, and the person responsible for correcting incomplete or rejected work.
04Define routing and exceptionsDocument the conditions for each route, the approval deadline, the escalation path, and the handling of rejection, reassignment, and changing scope.
05Automate and observeUse Make to move records, notify owners, update connected systems, and expose where requests are waiting or failing.

This sequence prevents a common mistake: debugging scenario logic before confirming that the process has a coherent design. If the owner, required input, or next state is unclear, additional automation usually adds complexity rather than speed.

Controls that make approval workflows dependable

Validate entry criteria

Do not route a request to an approver simply because a form was submitted. Validate the fields and documents required for a decision. If some information cannot be collected at intake, assign an owner and place the request in a distinct awaiting information state.

Make escalation preserve the original record

Reminders should not create duplicate approval requests. Define when a reminder is sent, when the backup owner is notified, and when a manager is escalated to. The original request, deadline, and audit history should remain intact while ownership changes.

Record the reason for every outcome

An approval record should capture the decision-maker, timestamp, outcome, and relevant reason or condition. A rejection without a usable explanation creates another manual loop and prevents later analysis of recurring problems.

Use one operational source of truth

Notifications are prompts for action, not the permanent record of a decision. The authoritative state should live in the system used to manage the underlying work. For sales approvals, that may require aligning ownership and decision states with a CRM architecture. For internal delivery or operational work, a structured ClickUp workflow may provide the status, task, and reporting layer while Make connects systems.

Distinguish human delay from technical failure

Monitoring should show whether a request is waiting for an owner, missing information, blocked by a failed scenario, or intentionally paused. A successful notification does not prove that an approval happened. Technical logs and business-state reporting should therefore be related but not confused.

What Make should and should not do

Make is well suited to

Executing defined work

Receiving structured data, applying agreed conditions, routing records, sending reminders, updating related systems, creating tasks, and recording technical outcomes.

Make should not be asked to

Invent the operating model

Resolve conflicting ownership, decide which approvals are necessary, infer missing business rules, or become the only place where decisions and exceptions are documented.

The right boundary keeps the automation maintainable. Business rules should be understandable without opening the scenario. Make can implement those rules, but the organization must own their meaning and review them when the process changes.

Hypothetical example: pricing approval

Consider a sales team that uses Make to send discount requests to finance. The scenario sends a notification correctly, but finance often asks for the margin, contract term, or customer segment. The notification goes to a shared channel, and sales follows up privately when a deal becomes urgent.

The technical response would be another reminder. The process response is more specific: collect decision-critical fields before submission, use a ready for finance review state only when the request is complete, assign one finance owner, and write the final decision back to the CRM. If the owner misses the response window, escalate the same request to a backup rather than creating a second approval.

In this design, Make has a clear job. It moves a decision-ready request through an agreed process. It is not being used to compensate for incomplete sales data or unclear finance responsibility.

How to decide whether to optimize or rebuild

An existing scenario is usually worth optimizing when the approval path is understood, the owners are accepted, the data is mostly complete, and the main problems involve reminders, routing, or system updates.

A redesign or rebuild is more appropriate when statuses mean different things to different teams, approvals frequently happen outside the system, manual workarounds are normal, or nobody can explain why a review step exists. Another warning sign is a workflow that has accumulated branches without a clear business rule for each one.

Ask: Where does this request wait, and what exactly is it waiting for? A useful answer should identify a visible state such as missing information, owner decision, specialist input, requester revision, or system processing. If the answer is “someone is chasing it,” the workflow needs clarification before more automation.

Operational observations

An approval owner is accountable for making a decision, not merely for receiving a notification.

The fastest approval workflow prevents incomplete requests from entering the decision queue.

A workflow status should describe what the business can do next, not only what the automation did last.

More approval steps do not automatically reduce risk when nobody can explain the decision each step protects.

What to measure after the redesign

Approval reporting should support an operational decision. Track measures that reveal where requests wait and which control needs attention:

  • Time from submission to decision-ready state
  • Time spent awaiting an owner decision
  • Percentage of requests returned for missing information
  • Percentage requiring manual escalation or reassignment
  • Age and volume of requests in each business state
  • Frequency of approvals completed outside the system of record

Each measure points to a different remedy. A high time to decision-ready suggests an intake or data problem. A high time awaiting decision suggests an ownership or capacity problem. Frequent off-system decisions may indicate that the workflow is difficult to use, lacks a needed exception path, or is not trusted by the people expected to operate it.

For broader examples of connected operational systems, the ConsultEvo client work portfolio shows how automation, CRM, data, and reporting can be considered as parts of one operating environment. The governing principle remains the same: define the process and business state first, then configure the automation that supports it.

FAQ

Frequently asked questions

Why do approval workflows remain slow after Make is implemented?

Make may be routing requests correctly while the process still has unclear owners, incomplete inputs, unnecessary approval layers, weak statuses, or unmanaged exceptions. Technical execution does not resolve those operating gaps.

What should an approval workflow status represent?

A status should represent a meaningful business state, such as awaiting information, ready for review, returned for revision, or approved for delivery. It should explain what can happen next.

How can Make improve approval response times?

Use Make to route complete requests to named owners, apply explicit rules, send timed reminders, escalate overdue work, update the system of record, and preserve the history of each decision.

When should an approval workflow be rebuilt instead of optimized?

Consider a redesign when ownership is unclear, statuses conflict, approvals happen outside the system, required inputs are consistently missing, or the organization cannot explain why each approval step exists.

Should every stakeholder be an approver?

No. Some people need notification or consultation rather than decision rights. Separating visibility, advice, and approval keeps the workflow shorter while preserving appropriate involvement.

ConsultEvo

Make approval workflows reliable before making them more complex

If approvals are automated but still slow, review the request states, required inputs, owners, routing rules, and exception paths before adding more scenario logic.