Resolve tier-1 tickets in your brand voice.
Alex handles the common questions — password resets, billing FAQs, onboarding questions — directly in your brand voice. Escalates everything else cleanly with full context.
Support cost scales linearly with customer count — until it breaks you.
The repetitive questions eat the time that should go to retention.
Your first 50 customers, you handle support yourself. Your next 500, you hire a junior. Your next 5,000, you hire a team. Margins compress as headcount grows; the repetitive tier-1 tickets eat the team's time and prevent them from doing the work that actually keeps customers.
- Tier-1 eats most of agent timeRepetitive password resets, billing questions, "how do I…" eat hours that should go to retention work.
- Headcount cost compoundsEach new agent adds a loaded salary + ramp time + onboarding overhead. Margins shrink as you scale.
- Slow tier-1 = angry customerA simple question that takes 24h to answer becomes a CSAT problem.
- Generic AI chatbots are worseOff-the-shelf chatbots speak in a tone that doesn't match your brand. Customers notice — and trust erodes.
Alex handles tier-1 in your voice. Escalates the rest cleanly.
Trained on your past responses + brand voice. Deflection rate climbs week over week as Alex learns your patterns.
- 01Step 1
Read context
Alex reads the ticket, the customer's account, prior tickets, sentiment. Recognises tier-1 patterns.
- 02Step 2
Draft brand-voice reply
Trained on your real past responses. Speaks your tone, uses your vocabulary, follows your escalation rules.
- 03Step 3
Resolve or escalate
Tier-1 confidence high → resolves directly. Sentiment negative or complexity high → escalates to a human with context.
- 04Step 4
Full-context escalation
When a human takes over, they walk in with the full ticket + conversation history + Alex's analysis.
What Alex does on tier-1 support
The repetitive questions — resolved in your voice, with humans saving their time for the conversations that matter.
Trained on real past responses. Indistinguishable from your best support agent's replies.
Email, chat, helpdesk (Zendesk, Intercom, or any helpdesk via webhook), Slack — wherever your customers ask, Alex answers.
Negative sentiment detected → Alex escalates instantly to a human with the full context.
Tier-2/3 tickets escalate cleanly to your team with full ticket + history + suggested response.
Tier-1 SMB autopilot. Tier-3 enterprise suggest-only. Configure per segment.
Each resolved ticket + each human correction makes Alex sharper. Deflection rate climbs week over week.
A ticket conversation Alex resolved end-to-end — in brand voice, with full context preserved.
Illustrative — real screenshots replacing these as customers go live.
How Alex is built to change tier-1 support
Illustrative — how the workflow is designed to shift, not measured customer results.
Common questions
- How long until Alex resolves tickets well?
- Deflection is designed to climb week over week as Alex learns your patterns — incremental, not flipped overnight. Plan for a ramp of a few weeks before Alex reaches peak performance.
- What about angry customers?
- Alex detects negative sentiment and escalates instantly to a human with full context. Default policy: Alex never argues, never insists. The customer goes to a human the moment frustration appears.
- Does Alex replace a CS manager?
- No. Alex covers tier-1 + proactive monitoring. Strategic CS work (renewals, expansion conversations, exec QBRs) stays human-led — Alex prepares the brief.
- What channels does Alex support?
- Email, chat, helpdesk (Zendesk and Intercom natively; any other helpdesk via webhook), Slack (internal alerts + customer-facing Slack channels). One Alex, every channel.
- How does Alex learn our brand voice?
- Upload ~50–200 of your real past responses; Alex learns tone, vocabulary, escalation patterns. Each new resolved ticket + each human correction refines further.
Stop hiring tier-1 agents you can't scale.
Alex handles the repetitive tier-1 volume in your voice. Your team focuses on the conversations that retain customers.