Glassix vs Front (2026)

TL;DR

• Pick Glassix if you're running high contact volume and want AI agents to resolve, escalate, and follow up without a human in the loop for qualified inquiries — voice included.
• Pick Front if your customer requests cross department lines and the hard problem is keeping context intact through handoffs between sales, ops, and support.

AI-autonomous vs human-collaborative

The two products start from opposite premises about who should handle a conversation. Glassix is built on the claim that AI should run the contact center rather than assist it. Its agents take inquiries end to end — resolving simple ones, escalating what they can't, following up afterward — across messaging channels and voice via CrystalVoice, with multilingual handling that doesn't require separate configurations per language.

Front starts from the agent. It's a shared inbox that happens to have full ticketing, routing, and SLA tracking underneath, and its signature capability is cross-team workflow: routing and escalating without losing conversation context or forcing a cold handoff. Front's AI Autopilot can absorb up to 70% of inbound on qualified plans, but the product's identity is still a workspace humans work in together.

That difference determines everything else — pricing structure, rollout effort, and what a failed implementation looks like.

Which one fits your inquiry mix

The deciding question isn't "how much support volume do you have," it's "how much of it is answerable." Glassix's economics work when a large share of contacts are resolvable from policy and knowledge content — order status, booking changes, account questions — which is why it targets e-commerce, hospitality, automotive, higher education, insurance, and real estate.

Front's economics work when contacts are not independently resolvable. Its 9,000+ customers skew logistics, financial services, and professional services, where a single request might legitimately require a salesperson, a fulfillment coordinator, and a support agent in sequence. No autonomous agent resolves that; the win is making the handoff invisible to the customer.

Audit a week of your own tickets before choosing. The answer usually falls out of the data.

Pricing and where AI actually costs

Front is cheaper to enter at $25/user/mo (Starter), $65 (Professional), $105 (Enterprise) — but Starter caps at 10 seats and one channel, which makes it a trial tier more than a plan, and AI Autopilot and Copilot are paid add-ons on lower tiers.

Glassix starts at $49/user/mo (Starter) with Growth at $65 and custom Enterprise pricing, and offers a 30-day free trial — unusually long, which matters for a product whose value depends on how well you can train it. Its own caveat mirrors Front's: advanced AI capability is an add-on on Growth, not included in base pricing.

Net: at the tier where either product is actually deployable with AI, both land near $65/user/mo before add-ons. Don't decide on the entry price.

Implementation risk

Glassix carries more of it. AI-first means your outcomes depend on configuration quality and the knowledge content you feed it — a thin rollout produces an agent that deflects without resolving, which is worse than no AI. It's also a newer platform with a smaller integration ecosystem than incumbents like Zendesk.

Front's risk is different and milder: you get a working shared inbox immediately, and the failure mode is paying for workflow sophistication a simpler team doesn't need. Front itself notes it can be overkill for straightforward support operations. Its 160+ integrations mean CRM and ERP connections rarely require custom work.

Who should pick what

• High-volume B2C support with repetitive inquiries → Glassix.
• Requests that route across sales, ops, and support → Front.
• Voice is a primary channel you want AI to answer → Glassix.
• Team wants an email-like experience agents already understand → Front.
• Multilingual support without per-language setup → Glassix.
• You need deep CRM and ERP integrations out of the box → Front.

Bottom line

Glassix and Front are both credible AI-era customer engagement platforms, but they're not interchangeable. Glassix is the aggressive bet — commit to AI resolution, invest in configuration, and stop scaling headcount with volume. Front is the durable bet — give a human team a workspace where conversations survive every handoff, then add AI where it earns its keep. Pick Glassix if most of your inquiries could be answered by a well-briefed machine; pick Front if they genuinely couldn't.