Unified Ticket Routing Across Channels
Support teams that grew channel by channel often end up with separate, inconsistent routing logic for each one — email tickets go through a triage queue, chat gets whoever's available, and social DMs get handled by whichever agent happens to be monitoring that account, usually with the least structure of the three. A customer who emails and then DMs on social about the same issue gets two completely different response experiences and speeds, and social often gets deprioritized entirely because it's not wired into the same SLA and reporting as the main queue, even though public visibility makes a slow social response more damaging.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 4-6 hrs/week and materially faster social response times.
How the automation works
We build one routing layer that sits across all your connected channels — email, live chat, social DMs — and applies the same category, priority and skill-based logic regardless of where the message came from, while still respecting channel-specific handling needs (chat needs faster first response, social needs a public-visibility flag). Cross-channel identity matching links a customer's email ticket and social DM into one view when they're clearly the same issue, and social tickets get pulled into the same SLA and reporting framework as email and chat instead of living in a separate, less-visible system.
Process flow
- 01
Message received on any channel trigger
Email, chat, and social DMs all feed into the same intake point, tagged with source channel but evaluated under one shared routing logic.
- 02
Match customer identity across channels ai
The model checks whether this message is from a customer with an existing open ticket on a different channel, linking them rather than treating each as a fresh, isolated case.
- 03
Categorize and prioritize ai
The same categorization and priority logic used for email applies to chat and social, adjusted for channel-specific urgency norms — chat expects a faster first response than email.
- 04
Route with channel-aware SLA integration
Tickets route to the appropriate skill-based queue with an SLA clock that reflects the channel's expected response speed, and social tickets get a public-visibility flag.
- 05
Unified reporting across channels output
Volume, response time, and resolution reporting cover all channels together, so social and chat aren't invisible blind spots next to email's more mature reporting.
Inputs
- Messages from email, chat, and connected social accounts
- Customer identity/account matching data
- Channel-specific SLA definitions
Outputs
- Unified queue across all channels
- Cross-channel linked customer threads
- Channel-aware SLA tracking
- Combined cross-channel reporting
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Treating social DMs with the same SLA as email ignores that a public complaint sitting unanswered is reputationally different from a private email sitting unanswered — social needs both a visibility flag and often a faster target, not just folding into the general queue unchanged.
- Cross-channel identity matching on name or email alone produces false links between different customers who share a common name — matching needs a stronger identifier (account ID, verified email/handle) or it creates confusing merged threads.
- Chat's real-time expectation doesn't map cleanly onto ticket-style routing logic built for async email — a chat message sitting in the same priority queue as email for even two minutes feels broken to a customer expecting an instant reply, so channel-specific response windows matter, not just channel-aware tagging.
Frequently asked questions
Does this replace our separate social media monitoring tool?
No — it connects to your existing social inboxes and pulls DMs into the same routing and reporting layer as email and chat, so social conversations aren't managed in a completely separate system with no SLA visibility.
How does it know a chat and an email are from the same customer?
Through account-level identifiers where available — logged-in chat sessions, verified email match, or account ID — rather than guessing from name alone, to avoid incorrectly merging different people.
Will chat tickets get the same slow SLA as email under this system?
No — each channel keeps its own appropriate response-time expectation; the shared part is the categorization and priority logic, not a single one-size-fits-all SLA.