Why Make Projects Fail When the Sales Handoff Is Broken

The real reason Make projects fail

A Make scenario is only as reliable as the process and data behind its trigger. If a CRM stage means something different to each salesperson, or if a closed-won record does not contain the information delivery needs, the scenario has no dependable basis for deciding what should happen next.

This creates an important distinction:

A scenario may create a project, send a notification and update a customer record without producing a usable handoff. The technical steps can all complete while operations still has to chase scope, billing details, contacts, dates or customer expectations.

This is why a broken sales handoff makes Make projects fragile. The platform exposes the weakness because it connects the handoff to every downstream activity. It does not create the weakness.

What a broken sales handoff looks like

A sales handoff is the transfer of responsibility, context and structured customer data from sales to the team that delivers, onboards, fulfils, bills or supports the customer. A handoff is broken when the receiving team must interpret, reconstruct or repeatedly request information that should have been transferred as part of the process.

Typical symptoms

• Deals move to closed-won without defined implementation or delivery details.
• Important context remains in call recordings, inboxes, chat messages or personal notes.
• Sales representatives use different meanings for stages such as qualified, closed-won or ready for delivery.
• Required fields are technically optional, so records appear complete when they are not.
• No one owns the handoff after the deal closes.
• Customer, company and deal records are duplicated or connected inconsistently.
• Operations has to ask a human what the next action should be.

These problems are often tolerated while volume is low. A salesperson may be able to explain a deal directly to a delivery lead. That informal workaround becomes unreliable as the number of deals, people and systems increases.

How incomplete handoff data breaks Make scenarios

Make relies on triggers, filters, field mappings and actions. Each of those depends on consistent inputs. When the input is incomplete or ambiguous, the scenario has to make a decision using information that may not represent the real business situation.

Triggers fire before the work is ready

A closed-won trigger may create a project immediately, even though the delivery scope, start date or billing contact is missing. The workflow has not necessarily malfunctioned. The business allowed a meaningful event to occur before its exit conditions were satisfied.

Filters and branches become exceptions

If one team records a service package as a structured value and another describes it in free text, Make cannot apply the same logic consistently. Scenarios accumulate special cases, manual overrides and branch conditions that are difficult to test or maintain.

Records lose their relationships

Connected systems need stable identifiers and clear rules for companies, contacts, deals, products, projects and invoices. If those relationships are created inconsistently, automation may update the wrong record, create duplicates or fail to associate related information.

Silent failures become more dangerous than visible errors

A failed operation is usually noticed. A successful operation using the wrong input may not be. For example, a hypothetical agency could automatically create an onboarding project from a deal that contains the wrong service tier. The project exists, notifications were sent and the scenario shows no obvious error, but the delivery team begins with the wrong assumptions.

That is a data quality problem expressed through automation. Adding more scenarios will not resolve it.

The business state that should trigger automation

One of the most useful design questions is not “What can we automate?” It is “What business state is reliable enough to trigger the next action?”

A CRM stage should represent a meaningful business state, not simply an activity performed by a salesperson. For example, “proposal sent” describes an activity. “Ready for delivery” should describe a condition with defined evidence, ownership and required information.

Use this sequence to design a dependable handoff:

This sequence separates a business decision from a technical implementation. Make can then support the decision instead of being asked to invent it.

What to fix before building more Make automation

Process design and CRM structure should be reviewed together. A written process that cannot be represented in the CRM will not create a dependable automation foundation. Likewise, a well-structured CRM cannot compensate for unclear ownership or inconsistent team behaviour.

Do not make every field mandatory simply because it is available. The better test is whether the field is necessary for a downstream decision, action or control. Overloading the CRM with irrelevant requirements can encourage users to enter placeholders, which creates the appearance of data quality without the substance.

Teams dealing with broader pipeline, data model and integration issues may need to review their CRM architecture and process design before changing individual scenarios.

Patch, rebuild or pause?

Not every unreliable Make project requires a complete rebuild. The right response depends on whether the underlying handoff is stable.

Patch the automation when the process is sound

A targeted fix may be appropriate when stage definitions, ownership and required data are already clear. Typical examples include a wrong field mapping, an incorrect filter, a duplicate webhook or a timing issue between systems.

Rebuild when the logic is structurally weak

Rebuilding is more appropriate when scenarios contain many exceptions, duplicate records are common, teams use different pipeline rules or no one can explain why a trigger should fire. In that situation, recreating the same steps with cleaner syntax will preserve the underlying problem.

Pause when the business decision is unresolved

Automation work should pause when sales and operations disagree about what closed-won means, who owns the handoff or what information is required to begin delivery. Those are operating decisions, not configuration details.

Where AI fits in the handoff

AI can support a sales handoff, but it should have a defined job and a clear acceptance test. Useful roles may include extracting structured fields from approved call notes, identifying missing handoff information, summarising context for a delivery owner or routing an exception for review.

AI should not be used as a vague substitute for process design. If the required information, source of truth and approval rules are unclear, an AI layer can make the ambiguity harder to detect. Human review may still be appropriate when scope, commercial terms or customer commitments are uncertain.

The principle is simple: define the operational job first, then decide whether a deterministic automation, an AI-assisted step or a human decision is the right method. Teams considering this layer can review AI agents connected to operational systems.

Designing Make as part of an operating system

Make is most valuable when it is treated as one part of a wider operating system rather than as a collection of isolated scenarios. The CRM may hold the commercial record, a project system may manage delivery, finance may own billing status and reporting may combine data from several sources. Each system needs a clear role and a controlled handoff between them.

This is also why more tools do not automatically create a better process. Every additional connection introduces another mapping, ownership question, failure mode and monitoring requirement. A reliable design may use several systems, but each connection should support a defined business outcome.

For complex data flows, routing and cross-system orchestration, Make automation implementation should follow the process and data model rather than lead them. Relevant Make work can also be reviewed through the ConsultEvoMake automation and CRM workExamples of connected automation, CRM, operations and reporting systems using Make.→

A practical test for sales handoff readiness

Ask a simple diagnostic question: if a new delivery team member received the CRM record without access to the original salesperson’s memory, could they understand what was sold, what must happen next and who owns the next action?

If the answer is no, the handoff is not ready for wider automation. Identify the missing decision, field, owner or exception path first. Then test the smallest useful workflow with realistic records, including incomplete and unusual examples. Reliability is demonstrated by how the process handles exceptions, not only by how it handles the standard path.

The goal is not to automate every movement between systems. The goal is to create a dependable chain from customer decision to internal action, with enough visibility for people to intervene when the data or business state is not ready.