Set up a tiered support team (Tier 1 → Tier 2 → Specialist)
A tiered support model — frontline agents handle the routine stuff, seniors handle harder cases, specialists handle the rest — is a common scaling pattern. Atender doesn’t have a dedicated “escalation” feature; you build the model out of teams, channel defaults, and automation rules. This recipe gives you the concrete setup.
What you’ll end up with
- Tier 1 — General team receives every new conversation by default on all channels
- Tier 2 — Senior team picks up conversations Tier 1 reassigns, or that an automation rule sends directly based on a tag
- Specialists — Billing / Technical teams handle specific topics, routed by content auto-tagging
Three teams, three channel default settings, and three or four automation rules. No new concepts beyond what’s already in the product.
Before you start
- Admin permissions on Teams, Users, and Automations
- Users already invited (at minimum: a few people for each tier)
- A clear idea of who escalates to whom — the recipe assumes a linear T1 → T2 → Specialist flow, but you can adjust
Step 1 — Create the three teams
In Settings → Teams, create:
Tier 1 — General— Frontline support, all new conversations land here — Most of your support teamTier 2 — Senior— Senior agents handling complex cases — A subset — your most experienced 2–4 agentsSpecialists — Billing— Finance-savvy team for invoice / payment issues — 1–2 agents with billing knowledge
If you need more specialist teams (Technical, Returns, Compliance), create them with the same pattern.
Detailed steps: Create a team.
Step 2 — Point all channels at Tier 1
For every active channel, set Tier 1 — General as the default team. New conversations always start with Tier 1.
- Email inboxes — Settings → Email → each inbox → Default team
- Voice numbers — Settings → Voice → each call queue → Team
- Web Chat widget — Settings → Web Chat → widget → Default team
- SMS numbers — Settings → SMS → each number → Default team
See Assign channels to a team for the per-channel detail.
Step 3 — Manual reassignment to Tier 2
Tier 1 agents reassign conversations to Tier 2 using the Assign action in the conversation panel:
- Open the conversation.
- Click the team assignee (or the Assign button if unassigned).
- Type
#Tier 2to filter teams, pick Tier 2 — Senior. - Confirm.
This is the human-driven path. No automation needed — Tier 1 decides what gets pushed up. Atender calls this assignment; some teams call it escalation. Both mean the same thing in Atender — moving the conversation to a different team.
Atender doesn’t have a separate “escalate” verb or a dedicated escalation queue. Reassignment between teams is escalation in this model. Train your Tier 1 agents on when to reassign, and the model works.
Step 4 — Automated reassignment to specialists
Create an automation rule per specialist team. The rule fires when a tag is applied — either manually by an agent or automatically by AI auto-tagging.
Recipe — Billing rule
In Settings → Automation Rules → New rule:
- Trigger: Tag Added
- Conditions:
Tag isbilling(or whatever your billing tag slug is) - Actions:
Assign team → Specialists — Billing
(Optional) Add an internal comment: “Auto-routed from tier: billing topic detected”
Save and enable.
Repeat for each specialist team with their respective tag:
- Specialists — Billing —
billing - Specialists — Technical —
technical-issue - Specialists — Returns —
return-request
How tags get applied
Either path works:
- Manual — agents tag conversations with
billing, etc. Useful when AI auto-tagging isn’t reliable enough. - AI auto-tag — the Sidekick auto-tag feature applies tags based on conversation content. Set this up in Settings → Tag Management. Best for high-volume teams.
Many teams start with manual tagging, watch which conversations get tagged consistently, and graduate to auto-tagging when they trust the AI’s accuracy.
Step 5 — SLA differentiation (optional but recommended)
Different tiers usually have different response-time expectations. Define separate SLA policies and tie them to teams:
- Tier 1 — General — Standard SLA — 15 minutes
- Tier 2 — Senior — Standard SLA (inherited) — 30 minutes
- Specialists — Billing — Specialist SLA — 1 hour (higher complexity, longer target)
Set this up in Settings → SLA Policies. The policy’s Team Assignment matrix is where you scope each policy to a specific team. See Channel-specific SLAs for the assignment pattern.
Verify it worked
- Send a test conversation through any channel. It should land in Tier 1 — General.
- As a Tier 1 agent, reassign to Tier 2 — Senior. Verify it appears in Tier 2’s queue.
- Add the
billingtag to a new test conversation. The Billing automation should auto-reassign within seconds. Check the conversation history — there should be an entry showing the rule fired. - Open Analytics → Team Performance and confirm conversations are distributed across the three tiers as expected after a day or two of real traffic.
When this model breaks down
A tiered model assumes most conversations are routine, only some escalate. If your traffic skews the other way — most conversations need specialist knowledge — you’ll be reassigning constantly. Two alternatives in that case:
- Skill-based default routing. Skip the universal Tier 1 default. Use channel-specific defaults: billing-related channels point at Billing Specialists directly. Tier 1 catches whatever’s left.
- Flat team structure. No tiers at all. Just one or two teams that handle everything. Smaller operations often outgrow Tier 1 + Tier 2 complexity.
If you find your Tier 2 team is doing 60%+ of the work, you don’t have a tiered model — you have a misnamed flat model. Rename and simplify.
Variations
Add an after-hours fallback
Wire opening hours so Tier 1 only receives conversations during business hours. After hours, a fallback team (Tier 1 — On-Call, with a smaller member list) takes over.
In Settings → Opening Hours, define Business Hours and After Hours rules. In Settings → Teams, link Tier 1 — General to Business Hours. Create an automation rule: Outside business hours → Assign to Tier 1 — On-Call.
Add an AI Specialist Agent
For high-volume tenants, an AI Specialist Agent can handle Tier 1 directly — answering common questions, gathering context, and only handing off to Tier 1 humans when AI confidence drops or the customer asks for a person.
This isn’t part of the team setup itself — it’s an Agent Stack feature that lives upstream of human assignment. The AI agent handles initial triage; team assignment happens at handover time.
“Specialist Agent” in Atender refers to an AI agent inside an Agent Stack. It’s not the same as a human specialist team. Don’t conflate the two — they’re different layers.
See also
- What are Teams?
- Create a team
- Assign channels to a team
- VIP routing automation recipe — similar pattern, different trigger
- What are Automations?
- What are Specialist Agents? — the AI tier (different concept)