How to Tell Whether Make Is the Right Fit for Your Approval Workflows

Start with the approval process, not the automation tool

An approval workflow moves a request from a defined starting point to a decision and then to a known next state. It should make clear what is being approved, who can decide, what information they need, what happens after approval or rejection, and what occurs when nobody responds.

Many businesses do not have one approval process. They have a collection of informal habits spread across email, chat, spreadsheets, forms, CRMs, finance tools, and project workspaces. That arrangement can survive at low volume because people compensate with memory and follow-up. As volume increases, the missing rules become delays, duplicate work, inconsistent decisions, and unclear ownership.

Before evaluating Make, document one representative workflow from request to completion. Identify the business states, not just the activities. For example, “waiting for manager” is a state, while “sent a Slack message” is an activity. States are easier to report on, govern, and hand over when the workflow grows.

What makes Make a good fit for approvals?

Make is most useful when approval work needs orchestration across multiple applications and the process is still standardizable. It can sit between the systems where a request is submitted, the systems that hold relevant data, the channels used for notifications, and the record where the final decision must be stored.

Typical signs of a good fit include:

• The request begins in one system and the decision must update another.
• Approval routing depends on defined conditions such as amount, department, risk, customer type, or request category.
• Several people or teams need different information at different stages.
• The workflow needs reminders, escalation paths, or status synchronization.
• Records must be formatted, enriched, or checked before an approver receives the request.
• The process is important enough to justify monitoring, documentation, and an owner.

The point is not to automate every message. It is to coordinate a repeatable business process whose data and decision points are distributed across tools.

Use a fit test based on complexity and stability

Workflow complexity alone does not determine whether Make is appropriate. A complicated but stable process may be a good candidate. A simple but constantly changing process may be a poor one.

Ask these diagnostic questions before designing scenarios:

• What exact event starts the workflow?
• What information must be present before a decision can be made?
• Which business conditions change the approval route?
• What are the valid outcomes: approved, rejected, returned, expired, or cancelled?
• Who owns a request when the normal approver is unavailable?
• Where is the authoritative record of the decision?
• What should happen when an integration fails?

If the answers are inconsistent, pause the build. The next step is process clarification, data cleanup, or ownership design rather than more automation logic.

Where Make adds practical value

Multi-system routing

Make becomes valuable when a request needs context from several tools. A discount request might begin in a sales system, retrieve account information, route according to a defined threshold, notify an approver, and write the result back to the original record. Without orchestration, staff often copy information between systems and manually reconcile statuses.

Conditional approval paths

A single linear approval is usually easy to handle. The need for different routes is where a more flexible automation layer can help. For instance, a low-value internal purchase may need one review, while a higher-value request may require finance and department approval in sequence.

These branches should come from explicit business rules. Do not create a new route for every historical exception. First determine whether the exception is a real policy, a data problem, or a one-off event that should remain manual.

Better handoffs and visibility

Approval automation should update the underlying record, not only send a notification. The request should show its current state, current owner, decision history, and next action. This gives operations and management a more reliable view than searching through chat threads.

Controlled reminders and escalation

A reminder is useful when it supports an agreed ownership rule. It is not a substitute for deciding who is accountable. Define when a reminder is sent, when escalation occurs, and who receives the escalated request. Otherwise, automation may create more notifications without improving response time.

When Make is probably not the right answer

The process is still being negotiated

If different leaders describe the approval rules differently, building the workflow now will lock disagreement into technical logic. Resolve the policy first. A written decision table is often enough to reveal where the real ambiguity lies.

One platform already handles the process

If the entire workflow lives in one CRM, project platform, or finance system and its native capabilities meet the requirement, adding Make may introduce another dependency without improving the outcome. Fewer moving parts are often easier to operate.

The workflow requires deep application-level controls

Some processes need sophisticated permissions, formal policy enforcement, a custom user interface, or detailed separation of duties. In those cases, Make may still connect systems around the process, but it may not be the right place to provide every control.

The source data is unreliable

Approval routing depends on trustworthy fields. If amounts, departments, customer categories, owners, or request types are frequently missing or inconsistent, the workflow will route incorrectly or require manual intervention. Improve the data model before adding more branches.

No one owns the workflow

Every business-critical scenario needs an accountable owner. That person does not need to build every change, but they should know what the workflow does, how failures are reviewed, and who approves modifications. A workflow without ownership becomes hidden infrastructure.

Compare Make with native automation and simpler tools

The right comparison is based on the process, not brand preference.

• Native automation: Often best when the workflow stays inside one platform and the required rules are already supported there.
• Simpler automation: Often sufficient for a short, linear flow with few systems, limited branching, and straightforward error handling.
• Make: More appropriate when the workflow needs multi-system orchestration, conditional paths, data transformation, synchronized statuses, or several controlled steps.
• Custom or specialized software: Worth considering when the workflow needs a dedicated interface, advanced permissions, formal policy controls, or a broader operational application.

Using Make simply because it can perform more actions is not a sound selection principle. The better choice is the lightest system that can represent the process reliably, provide the needed visibility, and remain maintainable as volume grows.

For complex cross-system requirements, see Make automation services. The useful starting point is a workflow assessment, not a preselected scenario design.

A practical sequence for assessing Make

Use this sequence to decide whether the workflow is ready for implementation and whether Make is the right operational layer.

Example: a discount approval workflow

Consider a hypothetical sales team where discounts above a defined threshold require review. The request starts in the sales system, but the approver needs account context and the final decision must be visible to sales operations.

A suitable design might validate the discount fields, retrieve the required account information, route the request to the correct owner, record the decision, and update the sales record. If the request is rejected, it should return to a defined state with a reason. If there is no response, the workflow should follow an agreed reminder and escalation path.

Make could be a reasonable fit because the process crosses systems and contains conditional routing. It would not solve the problem if sales leaders had not agreed on the threshold, if account data was incomplete, or if nobody owned exceptions. Those are operating model issues, not connector issues.

Measure whether the workflow is improving operations

Do not judge an approval automation only by whether it runs successfully. Judge it by whether the business can make decisions with less friction and better visibility.

• Can staff see the current state without searching across channels?
• Is the accountable approver visible?
• Are requests returned with a reason when information is missing?
• Can operations identify where work is waiting?
• Are final decisions written back to the system of record?
• Can the workflow owner investigate failures and change rules safely?

The most useful reporting supports a decision. For example, a report showing requests waiting beyond the agreed response period can help a manager address ownership or capacity. A dashboard full of activity counts may be less useful if it does not reveal where the process is breaking.

ConsultEvoMake ProjectsExplore examples of connected Make work across automation, CRM, operations, reporting, and systems integration.→

Final decision rule

Make is usually worth evaluating when an approval workflow is cross-system, rule-based, operationally important, and owned by someone who can maintain it. It is less likely to be the right answer when the process is undefined, the data is unreliable, a native feature already solves the need, or the workflow requires controls beyond an automation layer.

The best implementation starts with a clear business state model and decision logic. Once those are agreed, the tool choice becomes much easier. In some cases, that choice will be Make. In others, a native workflow or simpler system will create less complexity and a more reliable operating model.