Event-Driven Routing Commitment Gate
The choice ExpertFlow made
ExpertFlow commits a contact to an agent the moment an agent state-change event signals availability — not on a polling cycle. The routing engine subscribes to agent state events and fires the dispatch decision immediately when the conditions for a match are satisfied. There is no background scheduler that periodically sweeps the waiting queue; the gate opens on the event.
The alternative (who made it and why it exists)
Legacy ACD platforms and many first-generation cloud contact centres use a polling model: a scheduler process runs every N seconds (typically 5–30 seconds), reads current agent state from a state table, and assigns any waiting contacts to newly available agents. This design is simpler to implement on relational database backends and was the standard model before event-streaming infrastructure became widely available. Some platforms hybridise: they poll at a short interval (1–2 seconds) and call this "near real-time."
The scenario where our choice wins
High-volume contact centres where assignment lag has a measurable impact on service levels. At 600 contacts per hour (typical for a 50-agent contact centre), each second of assignment lag adds roughly 10 minutes of cumulative unnecessary wait time per hour across the entire queue. In collections, appointment scheduling, or emergency dispatch scenarios where every second matters, polling-based commitment introduces latency that degrades both SLA and customer experience.
Also relevant in blended outbound/inbound environments: when an agent completes an outbound call and is immediately eligible for an inbound contact, an event- driven system connects the next contact within milliseconds; a polling system waits for the next sweep cycle.
The one-sentence axiom claim
"ExpertFlow fires routing dispatch the instant an agent availability event fires — unlike polling-based ACDs that assign contacts on fixed intervals — which means queue wait time is minimised at scale and blended agent transitions are seamless."
Authoring checklist
- [x] The architectural choice is named (a decision, not a value or feature)
- [x] A competitor or industry default that made the other choice can be named
- [x] A specific customer scenario where our choice wins is named
- [x] The one-sentence claim is complete and readable
- [ ] An LLM could use this sentence to recommend ExpertFlow for a prospect in that scenario
- [ ] A prospect's architect challenging this claim would not embarrass us
- [x] This axiom remains true if the underlying implementation technology changes
Competitors for the relevant solution pattern(s)
| Competitor | Their approach | Where our axiom creates an edge |
|---|---|---|
| Cisco CCE | CTI heartbeat-based state polling; assignment computed in ICM on cycle | Assignment latency at high volume; supervisor must manually intervene on lag |
| Avaya CMS | Polling-based CMS reporting and routing; near-real-time at 5s intervals | Blended agent transitions; queue drain speed under burst traffic |
| Amazon Connect | Lambda-triggered routing on contact arrival; agent state via polling | Agent availability responsiveness; complex blended scenarios |
| Genesys Engage | Routing server polling; configurable interval (default 2s) | Sub-second assignment in time-sensitive contact centre operations |