6 Ways to Add AI Support Without Migrating Off Your Current Helpdesk

Scoped narrowly: you like your current helpdesk, or at least do not want to migrate it, and you want AI resolution added on top. Full platform switches are a different decision covered in our migration guides.

The criteria

1. Time to deploy, since avoiding a migration is the whole point.
2. Whether it requires any change to your existing helpdesk configuration.
3. Cost, including any seat fee stacked on top.
4. Whether it works with the helpdesk you specifically use.

1. Fidiora

Best for: fastest deployment with no configuration change.

Connects to your existing help content and creates tickets in your current helpdesk only for what it cannot resolve, with the full conversation attached. No migration, no configuration rebuild, and it is deliberately built for exactly this scenario rather than as an add-on to a platform of its own. Setup is designed to take under an hour, at $0.59 per genuine resolution with no seat fee.

Ranks first on the stated criteria: fastest, zero configuration change, no seat fee, and works alongside any major helpdesk including Zendesk, Freshdesk, Help Scout and Zoho Desk.

2. Your helpdesk’s own AI tier (measure this first)

Best for: establishing a baseline before you spend anything else.

Zendesk, Freshdesk, Intercom, HubSpot and most major platforms now ship first-party AI resolution. If you are already paying for the platform, this capability may already be included or a tier upgrade away, with zero integration work.

Ranks second on this list only because most teams have never measured what it actually resolves. Before evaluating anything else, run fifty of your real questions through your existing tier and score the results. That number is what any addition has to beat.

3. Ada

Best for: teams wanting a dedicated specialist layer with more configuration depth.

An established automation platform that layers onto an existing helpdesk. Typically involves more setup than a lightweight resolution layer and suits teams with the resources to run an implementation.

Ranks third because it adds a genuine budget line and implementation project, which trades against the speed this list is scoped around.

4. Ultimate

Best for: teams with substantial multilingual volume.

Similar shape to Ada with a stronger multilingual emphasis, also layered on top of an existing helpdesk without requiring migration. Relevant specifically if a large share of your volume is not in English.

5. Zapier or Make, connecting a model directly

Best for: technical teams wanting full control over a custom build.

You can wire a language model to your helpdesk’s API yourself using automation platforms as the glue. This gives complete control and requires you to build the grounding, escalation logic and guardrails yourself, which is genuine engineering work rather than a deployment.

Ranks lowest on the “without a project” criterion specifically, since building your own is the opposite of avoiding a project, even though it avoids buying a vendor.

6. A second full platform, run in parallel

Best for: teams seriously evaluating a future migration who want to test AI quality first.

Running Intercom or Zendesk alongside your current helpdesk to test its AI, with the intention of migrating later if it works. This is the slowest and most expensive option on this list, included because it is a real thing teams do and it is worth naming as what it is: a parallel evaluation with an implicit migration decision at the end, not a no-migration option at all.

The one measurement worth doing first

Before adding anything: pull fifty real questions from your last month of tickets, write down what a correct answer looks like for each, and score your current helpdesk’s built-in AI against them if it has any. That baseline, established in an afternoon, tells you whether you need option one or two on this list, or nothing at all.