When the Vendor Leaves: The Part of Technology Projects CIOs Don’t Talk About Enough

Familiar milestones often measure technology projects.

• Was the project completed on time?
• Did it stay within budget?
• Did the technology work as expected? Did employees receive training?
• Did the vendor deliver what was promised?

Those are all important questions.

But another question is often overlooked until much later.

What happens when the vendor leaves?

I have spent much of my career on both sides of technology implementations. I have been responsible for technology outcomes as an IT executive, worked in security and governance, helped organizations navigate transformation as a consultant, and now work with organizations that are managing significant technology changes.

One lesson continues to come back: The most important part of a technology implementation often begins after the implementation is over.

That is when the vendor steps back, the project team moves on, and the organization is expected to operate what it just purchased.

This is where knowledge transfer becomes much more important than documentation.

Knowledge Transfer Is More Than Training

Many organizations define knowledge transfer as a few training sessions, a collection of technical documents, and perhaps a final project meeting. That is not really knowledge transfer.

Documentation tells you what someone built. Training may show you how to use it. Neither necessarily means the organization can own it.

True knowledge transfer should create organizational capability.

1. Can the internal team administer the technology?
2. Can they troubleshoot it when something doesn’t work?
3. Can they understand the integrations and dependencies?
4. Can they recover the system?
5. Do they understand the security requirements?
6. Do the business owners understand how the technology supports the process?
7. And perhaps most importantly, does someone inside the organization understand why the system works the way it does?

These questions become especially important with systems closely tied to business processes.

A technology solution may depend on business rules, data definitions, integrations, automation, or decisions that were originally understood primarily by the implementation team. If that knowledge leaves with the vendor, the organization can quickly become dependent on the very company it hired to help it become more capable.

The Dashboard Isn’t the Product

I am currently working with an organization that is taking a different approach with a data and dashboard initiative.

Rather than simply accepting a finished set of dashboards and documentation, the organization is establishing a core group that receives the knowledge and continues to participate after the vendor’s involvement decreases.

That distinction matters.

The dashboard itself is not the product.

The real product is the organization’s ability to understand the data, validate the information, maintain the solution, make appropriate changes, and continue improving it.

That requires both technical and business knowledge.

It also requires governance.

• Who approves changes?
• Who determines whether a requested change is necessary?
• Who validates the data?
• Who decides what should be prioritized? Who is responsible when something doesn’t look right?

Those are ownership questions, not training questions.

AI Raises the Stakes

The issue becomes even more important as organizations move into artificial intelligence and automation.

An AI-enabled scheduling solution, for example, may involve cloud services, AI capabilities, robotic process automation, integrations with existing business systems, business rules, scheduling logic, operational processes, and ongoing changes to the surrounding systems. 

That creates a much different ownership challenge than implementing a standalone application.

I am seeing this firsthand in work we are currently doing on an AI-enabled scheduling initiative, where the implementation is forcing us to think beyond the technology itself and address who will own, support, maintain, and govern the solution after implementation.

The question is no longer: “Did the vendor give us enough documentation?”

The better question is: “Do we understand enough about this solution to operate and govern it after the vendor is no longer involved?”

That includes understanding the technology, the data, the integrations, the business rules, the AI component, the automation, the vendor dependencies, the operating costs, and the support model.

It also means understanding what the organization can change itself and what will require outside assistance.

That distinction should be established before the project reaches go-live.

The CIO’s Responsibility Doesn’t End at Implementation

Technology leadership is sometimes measured too heavily by implementation results.

We celebrate the go-live date. We report that the project was delivered on time. We move to the next initiative.

But the go-live date is really the beginning of operational ownership.

A CIO should be asking:

• Can we operate it?
• Can we support it?
• Can we secure it?
• Can we change it?
• Do we understand it?
• Can we govern it?
• Who owns the business rules?
• Who owns the product?
• Who do we call when something goes wrong?
• And what happens if the vendor is no longer available?

These questions are particularly important when negotiating the original statement of work. 

Don’t discuss knowledge transfer during the final weeks of a project. It should be part of the project design from the beginning.

The contract should establish the documentation, access, training, administrative capabilities, support responsibilities, escalation process, and transition assistance the organization will receive.

It should also define what happens after implementation.

Build the Capability Before You Need It

One of the biggest mistakes organizations make is waiting until the vendor is preparing to leave before determining what knowledge needs to be transferred.

By then, it may be too late.

The people who originally designed the solution may have moved on. Business requirements may have changed. Technical decisions may no longer be fresh. The organization may also discover that critical knowledge was never formally documented or transferred.

A better approach is to build the internal ownership model while the project is still being implemented.

• Identify the technical owners.
• Identify the business owners.
• Identify the product owner.
• Establish a governance group when appropriate.
• Define what the internal team must be able to do before knowledge transfer is considered complete.
• Then test it.

Have the internal team perform routine administration. Have them work through a troubleshooting scenario. Make sure they know how to escalate an issue. Confirm that they have the access they need.

Knowledge transfer should be demonstrated, not simply declared complete.

The Vendor Doesn’t Have to Disappear

This does not mean organizations should eliminate vendor relationships. In today’s technology environment, that would not be realistic.

Organizations will continue to rely on software providers, cloud platforms, managed services, consultants, and specialized expertise. 

The objective is not to be independent of vendors. The objective is intentional dependency.

• If the vendor provides specialized technical support, that may be appropriate.
• If specialized development requires the vendor, that may be appropriate.
• If the organization needs outside expertise for an advanced AI capability, that may be appropriate.

But leadership should understand where the dependency exists and why. The organization should know what it owns, what the vendor owns, what it can support internally, what requires outside assistance, and what that dependency costs.

That is the difference between using a vendor strategically and unintentionally becoming dependent on one.

The Real Measure of Success

Technology changes. Vendors change. Platforms change.

The leadership challenge remains the same.

Someone inside the organization must own the outcome.

A successful technology implementation is not simply one where the vendor delivers the solution.

It is one where the organization has the people, knowledge, governance, and support model necessary to operate and improve that solution after implementation.

The goal of knowledge transfer isn’t to teach your team enough to survive the vendor’s departure.

It is to build enough organizational capability that the vendor’s departure isn’t a crisis.