A Gladly alternative,
evaluated fairly

Gladly is a customer service platform built around the person rather than the ticket, keeping one continuous conversation per customer across channels, aimed primarily at consumer brands.

See Fidiora Pricing How Fidiora works

This page is a fair, high-level guide. Always confirm current features and pricing on Gladly's own site.

Published September 10, 2026 · Reviewed by the Fidiora team

Short answer

Teams look past Gladly when operational reporting becomes hard without tickets, or when a resolution-based quote turns out to be defined loosely. The people-first model is distinctive and it is worth checking the commercial definitions carefully before committing.

Key takeaways

Removing the ticket concept improves the customer experience and complicates operational reporting.
Where pricing is resolution-based, the definition is the whole contract.
Consumer brands with loyal repeat customers benefit most from the model.
B2B support often needs queue and account structure the model does not emphasise.

Why teams look for an alternative

Operational reporting that assumed tickets and now has to be rebuilt
Quoted pricing that is hard to compare with published alternatives
A resolution definition that needs close reading
Wanting a lighter deployment without a platform migration

These are common reasons in general. If none apply to you, you may not need to switch at all.

Evaluation Checklist

What to compare

Predictable pricing

Can you forecast the bill as you grow? Look for seat fees, separate AI add-ons, and channel charges. Compare Gladly's current pricing against an outcome-based model like per-resolution, and confirm the latest numbers on their site.

Time to value

Can you go live in hours without engineers, or is it a multi-week setup? Ask for a realistic timeline, not a demo-day one.

Resolution quality

Does the AI genuinely resolve questions grounded in your content, or mostly deflect? Ask how a resolution is defined and request real transcripts.

No-code control

Can your CX team change routing, rules, and tiers themselves, without filing a developer ticket?

Data ownership

Is your data yours, and is it kept out of third-party model training? Get the answer in writing.

Read the resolution definition

Where a vendor prices on resolutions, ask whether abandonment counts, whether handoffs are billed, and whether a reopened conversation retracts the charge. Get all three answers in writing.

Reporting without tickets

Check that your existing operational reports survive the model change. Volume, backlog, and productivity metrics usually assume a ticket object, and rebuilding them is a project.

When you should stay with Gladly

If the people-first model has genuinely improved your customer experience and your reporting has adapted, that is hard-won and worth keeping. The question is whether a separate resolution layer would reduce the volume reaching agents at all.

What switching actually involves

Layering resolution in front of Gladly requires no change to your data model or your agent workflow. Repetitive questions are answered from your content, and everything else arrives as it does now.

How Fidiora Approaches It

Fidiora publishes its resolution definition in full rather than negotiating it per deal, charges a published rate with no seat fee, never bills for handoffs or abandoned conversations, and runs alongside whichever platform you keep.

Best for: Teams that want outcome-based pricing with a public definition and no platform migration.

See Pricing

FAQ

Questions

What should I ask about resolution-based pricing?

Whether abandonment counts, whether handoffs are billed, whether reopens retract the charge, whether a hard spend cap exists, and whether you can audit a sample of billed resolutions. Get every answer in the contract.

Does Gladly suit B2B support?

It is aimed primarily at consumer brands. B2B support usually needs account structure, formal SLAs, and queue mechanics, which sit more naturally in a ticket model.

Can I keep my platform and add AI resolution?

Yes. That is deliberately the lighter path: no migration, no reporting rebuild, and the volume reaching agents falls immediately.