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Build It or Buy It: Why AI in the Contact Center Isn’t Either/Or

August 31, 2024 By Wendy Mikkelsen
  • Wendy Mikkelsen
  • August 31, 2024

Every enterprise CX team faces the same decision eventually. Do you build AI for your contact center with your own people, or buy a finished system from a vendor?

Building your own AI gives you control. Buying a finished one gets you live faster. Both are true. Neither is the whole story, because the choice is rarely all or nothing.

Here’s a more useful way to frame the decision.

The Hard Part Isn’t Launch. It’s Month Seven.

Most enterprise buying cycles focus on the day the AI goes live. Teams argue over who builds it, how fast it ships, and what it costs.

But the launch is the easy part. The hard part comes in month seven, when your business changes and the AI has to change with it.

So ask a different question. When your business changes, who can update your AI system, and how fast?

It matters who builds your AI.

But who’s able to update and maintain it might matter even more.

If the answer is, “We file a ticket and wait three weeks,” you bought the wrong platform. If the answer is, “Our two AI engineers can handle it if they’re free,” you built a system that depends on two people.

Split the Decision by Layer, Not by Side

Most CX teams pick one side and apply it to everything. It’s smarter to break your AI system into layers, then decide build or buy for each one.

Worth buying. The foundation your AI runs on is hard, regulated, and the same for everyone, whether that’s infrastructure, security, compliance, or uptime. Nobody wins a customer by building their own encryption.

Worth keeping in-house. What your AI says and does on your behalf should stay with your team. That means your policies, your tone, your escalation rules, and the judgment only your people have.

Worth negotiating. The conversation flows your AI follows sit in between. That’s where the real build-or-buy decision lives, and it’s the part most platforms skip past.

None of those three layers should leave your team on its own after go-live.

The Real Test Is a Random Tuesday

Some volume spikes are easy to see coming, like open enrollment or tax season. Others hit with no warning, like an outage or a storm.

Neither one should require an engineering project.

Nobody schedules an outage. Your AI should already have a backup flow ready to switch on.

Here’s the setup that handles both. Your vendor builds the conversation flows your AI follows, and builds them well. Your team also gets a few small backup flows built in advance, such as a surge path, a shorter intake, or a different after-hours message. Each one stays off until a supervisor turns it on.

That’s build and buy working together. Your vendor does the heavy lifting. You keep a few levers you can pull yourself.

Five Questions to Ask Every AI Vendor Before You Sign

You’re the buyer. Put these to every vendor pitching your contact center:

1. Control. What parts of the AI system can our team change on our own, and what will always need you?

2. People. Who’s on our account after go-live, and are they the same people who built our flows?

3. Backup plans. Will you build backup flows for our seasonal and emergency scenarios up front?

4. Data. Where does our data live, and is it used to train anyone else’s models?

5. Compliance. What certifications do you hold (HITRUST r2, SOC 2), and at what point does a conversation reach a human?

The last two matter in any regulated industry. The first two tell you whether your CX team is getting a vendor or a partner.

Ownership Is the Real Decision

Your contact center will change. The question is who can change your AI system along with it.

A partnership that lasts works like this. You keep control of the parts that should be yours. Your vendor builds and runs the rest. And that vendor is still there in month seven, when something changes and you need a fast answer.

So stop asking which side to pick. Ask what you want to own, what you’d rather hand off, and who will still be in the room when your needs change.

Wondering where that line falls for your team? LinkLive builds and deploys most of your AI system, then leaves the levers with you.

Build or Buy AI: Frequently Asked Questions

Should we build or buy AI for our contact center?
Most enterprise CX teams end up doing both. Buy the layers of the AI system that are hard, regulated, and identical for everyone, like infrastructure, security, and uptime. Keep the layers that make your service yours, like policies, tone, and escalation rules. Everything in between is what you actually negotiate.
What does building AI in-house really require?
It takes more than an AI model. You need people who can design conversation flows, connect your systems, watch quality, retrain, pass security reviews, and stay available for changes. Building the AI system is rarely the hard part. Owning it is.
Is buying faster than building?
Buying is usually faster to launch. The more useful comparison is the second and third change after go-live. A bought solution your team can’t adjust can end up slower than an in-house build once the business shifts.
What is a low-code or no-code AI platform?
It’s a platform where you build and adjust flows in a visual editor instead of in code. A vendor can handle the heavy build while your team makes routine changes, like wording, hours, or routing, without a developer.
Which parts should stay in-house no matter what?
Judgment stays with you. That means your escalation rules, your tone, your policies, and what your people know about your customers. Anything that decides how customers get treated should stay under your control, even when someone else builds the mechanics.
How do we handle seasonal spikes or emergencies without starting a project?
Build the backup flows before you need them. A surge path, a shortened intake, and a closure or after-hours message can all sit dormant until a supervisor switches one on when a trigger hits.
What should we ask an AI vendor before we sign?
What parts of the AI system can our team change without you? Who is on our account after go-live? Will you build our seasonal and emergency flows up front? Where does our data live, and is it used to train other models? What certifications do you hold, and at what point does a conversation reach a human?
What certifications should an enterprise contact center vendor have?
In regulated industries, look for HITRUST r2 and SOC 2, plus alignment with the frameworks you answer to (HIPAA, HITECH, NIST 800-53, GDPR). Certifications alone won’t make you compliant, but a vendor without them is easy to rule out.
Does a hybrid build-and-buy approach actually work?
It’s the most common outcome for enterprise CX teams, and it tends to hold up. The arrangements that work split the AI system by layer instead of picking a side. They also settle up front who owns which changes after launch.

LinkLive builds and deploys most of your system on a secure contact center platform that’s HITRUST r2-certified, then leaves your team the levers to adjust when the season, the volume, or the day changes.

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