Why Approval Workflows Break Even With Make in Place

Many teams implement automation expecting one immediate result: faster approvals.

Then the same problems keep showing up. Requests sit untouched. Managers approve in Slack instead of the system. Sales waits on pricing exceptions. Delivery teams chase signoff manually. Nobody is fully sure who owns the next step.

At that point, it is easy to assume the tool is the problem.

Usually, it is not.

The reason approval workflows break with Make is rarely that Make cannot automate the process. In most cases, Make is doing exactly what it was configured to do. The real issue is that the underlying workflow is unclear, overcomplicated, or missing the controls needed to keep approvals moving.

Make platform is strong at routing data, triggering notifications, updating records, and managing multi-step logic. But it is an execution layer, not a process strategy. If the approval path is vague, ownership is weak, or exceptions are handled outside the workflow, automation will only expose those flaws faster.

This is where ConsultEvo takes a different view. We look at process first, tools second. The goal is not to add more automation for its own sake. The goal is to remove delays, reduce manual follow-up, and create a system people can actually trust.

Quick Summary: Why Approval Workflows Stay Slow

• Approval workflows usually break because the process is weak, not because Make is incapable.
• Slow response times come from unclear ownership, bad routing rules, incomplete inputs, and missing escalation logic.
• The cost shows up in delayed revenue, service bottlenecks, manual chasing, and inconsistent data.
• Make works best as an execution layer for a well-designed process, not as a substitute for workflow design.
• ConsultEvo helps teams redesign approvals around speed, accountability, and clean system handoffs.

Who This Article Is For

This article is for founders, operators, agency owners, SaaS teams, ecommerce teams, and service businesses that already use Make or are considering it for approvals.

It is especially relevant if your team deals with:

• Slow response times in approval workflows
• Dropped requests or unclear handoffs
• Manual follow-up in Slack, email, or DMs
• Approval steps tied to CRM, ClickUp, onboarding, or client delivery
• Automation that technically runs, but still does not improve outcomes

The Real Reason Approval Workflows Stay Slow After Implementing Make

Approval automation is often misunderstood.

Teams assume that once a request can move automatically between forms, project tools, CRMs, and notifications, response times will naturally improve. But automation only moves work. It does not resolve process ambiguity.

That distinction matters.

Make can automate data movement, notifications, status changes, and routing. It cannot fix a broken approval process by itself.

If requests enter the system without required information, approvers still pause. If nobody clearly owns a decision, tasks still sit. If people bypass the workflow to handle edge cases manually, the official status becomes unreliable.

That is why teams often experience a frustrating pattern: the automation is technically working, but approvals are still slow.

The root cause is usually not platform failure. It is process design failure.

This is also why businesses looking for Make automation services should not start with scenario building alone. They should start with workflow design, ownership, and exception handling.

Why Approval Workflows Break Even When the Automation Is Technically Working

Most approval workflow automation problems are operational, not technical. Below are the root causes buyers tend to recognize immediately in their own business.

No clear approval owner at each stage

If a request reaches a queue instead of a person, it often stalls. Shared responsibility usually means no responsibility.

A healthy approval workflow names one owner for each decision point and one backup owner when that person is unavailable.

Too many decision-makers or unnecessary signoff layers

Many workflows grow over time. New stakeholders get added for visibility, caution, or politics. The result is predictable: more handoffs, more waiting, and more confusion.

If multiple approvers are involved without a clear reason, cycle time expands fast.

Approval rules depend on tribal knowledge

One of the most common Make approval workflow issues is that logic exists in people’s heads instead of inside the system.

For example, a manager might know that discounts above a certain margin need finance review, or enterprise clients need an extra legal step. If those rules are not explicit, the workflow becomes inconsistent.

Requests arrive without complete data

Approvers cannot make fast decisions on incomplete requests. They pause, ask follow-up questions, and create new loops outside the workflow.

This is one of the biggest drivers of slow response times in approval workflows. The delay starts before approval even begins.

No SLA, escalation path, or timeout logic

Without deadlines, reminders, and escalation rules, approvals rely on memory and goodwill.

That is not a workflow. That is a loose request process with automation attached to it.

Edge cases are handled outside the system

When exceptions are pushed into Slack, email, or private messages, teams lose visibility and control. The formal workflow says one thing. The real process happens somewhere else.

This is where many workflow bottlenecks in Make appear. The scenario may be fine, but the business keeps creating off-system workarounds.

Status visibility is poor

If requesters cannot see where an approval stands, they start chasing updates manually. If managers cannot see queue health, they cannot intervene early.

Manual follow-up is often a symptom of poor status design, not just poor execution.

Common Mistakes That Keep Approval Workflows Slow

• Automating a messy process before defining the approval path
• Using Make as the process strategy instead of the execution layer
• Letting requests enter the system without required fields
• Adding too many approvers for low-risk decisions
• Ignoring exception paths and only building the happy path
• Failing to define ownership, backup ownership, and response expectations
• Tracking approvals across multiple tools with no single source of truth

How Slow Approval Response Times Create Hidden Operational Cost

Slow approvals do more than frustrate teams. They create operational drag across revenue, delivery, and data quality.

Lost sales velocity

When quotes, discounts, contracts, or onboarding approvals stall, pipeline movement slows. Deals wait for internal answers. Reps follow up instead of selling. Momentum drops.

For teams managing sales operations, this often ties directly into CRM systems and workflow design. If approval timing affects stage movement, handoff quality, or forecasting confidence, the cost reaches beyond one delayed request.

Delayed service delivery and weaker client experience

Agencies and service businesses feel this quickly. If internal signoff delays kickoffs, scope changes, procurement, or resource allocation, client delivery slips.

Clients usually do not see the internal workflow problem. They just experience slow service.

Higher internal labor cost

Every manual reminder, follow-up message, and just checking on this note adds labor cost. It may not show up as a budget line item, but it consumes operator, coordinator, and manager time every week.

Data quality problems

When updates happen late or across multiple systems, records stop matching. Teams make decisions from stale statuses. Reporting loses credibility.

This is common when approvals touch project tools, CRMs, and delivery systems without a clean sync model.

Leadership loses confidence in automation

When workflow outcomes are inconsistent, leaders stop trusting the system. That skepticism spreads. Teams fall back to manual workarounds. New automation projects become harder to justify.

These costs compound in SaaS, ecommerce, agencies, and service businesses because approvals often sit in the middle of revenue operations and delivery operations.

When Make Is the Right Platform for Approvals and When It Is Not Enough by Itself

Make is a strong fit for approval workflows when you need:

• Multi-step routing
• Conditional logic based on deal value, risk, or client type
• System-to-system handoffs
• Custom notifications and reminders
• Status updates across multiple tools

It is especially effective when the workflow already has clear inputs, clear ownership, and clear rules.

Where teams struggle is when Make is expected to compensate for process drift. If the approval path changes frequently, nobody governs the logic, and exceptions are constantly invented on the fly, the automation becomes fragile.

The key distinction is this: Make should execute a process strategy, not replace one.

That is why implementation quality is the deciding factor. A good build reflects a well-designed workflow. A weak build often reflects a workflow that was never fully defined.

If the issue spans more than one tool, teams often need broader automation and systems services, not just a single scenario fix.

What a Healthy Approval Workflow Should Include Before Automation Goes Live

Before building any multi-step approval workflow automation, the business should define what a durable process looks like.

Clear entry criteria

Approval requests should be complete before they enter the queue. That means required fields, supporting context, and structured inputs are defined upfront.

Named owners and backup owners

Each decision point should have one clear owner and one fallback. This removes ambiguity and reduces waiting time during absences or busy periods.

Explicit decision rules

Rules should be based on factors like value, risk, client type, geography, or team function. If the process depends on memory, it will break under pressure.

Escalation logic and timeout handling

Healthy workflows define what happens when an approver does not respond. Reminders, deadlines, and escalations are part of the workflow design, not optional extras.

A single source of truth for status

Everyone involved should know where to check the current state. This may live in a CRM, a project platform, or another operational system, but it should be one place.

Auditability

The system should clearly show who approved, rejected, or requested changes, and when. This supports accountability and reduces disputes.

Minimal approval layers

Good workflows keep signoff lean. Every extra approval step needs a business reason.

For teams running internal delivery or cross-functional approvals in ClickUp, this often ties naturally into ClickUp setup and automations as part of the wider workflow design.

How ConsultEvo Fixes Broken Approval Workflows

ConsultEvo does not start by asking what scenario to build.

We start by asking why the workflow is slow, where requests stall, what data is missing, who owns each decision, and how exceptions are currently handled.

That means beginning with process mapping, bottleneck analysis, and systems design before building in Make.

Our focus is commercial, not cosmetic. We aim to reduce manual work, improve speed, and create cleaner operational data.

Typical deliverables include:

• Approval architecture and workflow redesign
• Routing logic based on explicit decision rules
• CRM, ClickUp, and operational tool integration
• SLA, reminder, and escalation setup
• Status visibility and reporting design
• Documentation for ownership, logic, and governance

Whether the approval touches sales ops, client delivery, onboarding, or internal operations, the goal is the same: fewer delays and better decisions.

If your team is evaluating an approval process automation consulting partner or a Make automation consultant, the key is to choose someone who can redesign the system, not just automate the current mess.

What Buyers Should Ask Before Hiring a Make Automation Partner

If you are comparing providers, ask these questions early:

• Do they redesign the process or just build the scenario?
• How do they handle exception paths and incomplete submissions?
• Can they tie approvals into CRM, ClickUp, and service delivery systems?
• How will they measure cycle time reduction and operational impact?
• Do they document ownership, logic, and governance so the workflow stays usable over time?

These questions quickly separate technical builders from true workflow partners.

Should You Optimize the Current Workflow or Rebuild It?

The answer depends on whether the underlying logic is sound.

Optimize the current workflow if:

• The approval path is mostly correct
• Ownership is already clear
• The main issues are reminders, routing, or visibility
• The data inputs are mostly structured and complete

Rebuild the workflow if:

• Approval steps are redundant
• Ownership is unclear
• Requests enter with bad or missing data
• Exception handling happens outside the system
• The workflow creates more chasing than clarity

A useful rule of thumb: if your team spends more time working around the approval system than using it, the current setup may be costing more than it saves.

This is often when outside expertise matters most. Internal teams are usually too close to the process to challenge long-standing assumptions or remove unnecessary layers.

FAQ

Why are approval workflows still slow after implementing Make?

Because automation does not remove process ambiguity. Slow approvals usually come from unclear ownership, incomplete requests, weak routing logic, or missing escalation rules, even when Make is functioning correctly.

Is Make the wrong tool for approval workflow automation?

Not usually. Make is a strong execution layer for approval workflows. It becomes a poor fit only when teams expect it to define the process for them instead of supporting a clearly designed workflow.

What causes approval automation to fail most often?

The most common causes are too many approval layers, no named owners, logic based on tribal knowledge, incomplete submissions, and edge cases handled outside the system.

How do you reduce response times in multi-step approval workflows?

You reduce response times by clarifying ownership, defining complete entry criteria, minimizing unnecessary signoffs, adding reminder and escalation logic, and creating clear status visibility in one system.

Should we rebuild our approval workflow or optimize the current one?

Optimize if the logic is fundamentally sound and the issues are mostly visibility or reminders. Rebuild if ownership is unclear, steps are redundant, or poor-quality requests enter the system.

What should a Make consultant fix before adding more automation?

They should fix the process design first: inputs, owners, rules, exceptions, escalation paths, and system-of-record decisions. More automation on top of a weak process usually creates more complexity, not better performance.

CTA

If your approvals are automated but still slow, the problem is rarely Make alone.

The real issue is usually broken workflow design: unclear owners, vague rules, bad inputs, poor exception handling, and no accountability for response time.

Make can execute a strong approval system very well. It cannot turn a weak process into a reliable one by itself.

That is the gap ConsultEvo helps close.

If your approval workflow is automated but still slow, ConsultEvo can map the bottlenecks, redesign the logic, and build a faster system in Make and your core tools. Book a workflow review.