How to choose Salesforce routing software.

Score two layers. The routing layer, round robin, load balancing, skills, capacity, availability, territory, object coverage, is table stakes; most dedicated tools do it well. The workflow layer is where tools diverge: how work arrives (intake), whether it is triaged before routing, what happens after assignment, how AI is governed, whether one system serves sales and service, and the total cost of every tool involved. Evaluate a routing tool on the routing layer; evaluate orchestration on the whole path.

A routing tool answers one question: who should get this record? Orchestration defines the whole path: how work arrives, how it is classified, who handles it, what happens next, under what conditions, and with what controls. Routing is one step in that path. Some Salesforce-native systems handle both in one place, with routing as a capability inside the orchestration.

For simple, criteria-based distribution, often yes, and it is already licensed. A dedicated tool adds round robin, load balancing, skills and capacity, availability and schedules, and rule changes without a deploy cycle. Orchestration adds the layer native routing and a routing tool both stop short of: intake, AI triage, and post-assignment execution. Which you need depends on whether assignment is the whole job.

Compare total cost, not the per-seat headline. Factor in the Salesforce edition required, any minimum commitment, onboarding or services fees, the admin time to maintain the configuration, and the other tools you buy around routing (intake, AI, integration) and the manual effort on the seams. A low licence price with a heavy stack around it can cost more than a system that covers the whole workflow under one model.

Insist on testing against your own routing reality, not a vendor's demo. Install it, build a realistic scenario in a sandbox, and watch it run before you sign. Push on the edge cases: the lead assigned to someone on holiday, the hot lead handed to a rep already buried, the SLA that only fires when someone is watching. And ask what happens to work before and after the routing step, because that is where the differences between tools become obvious.

Maybe not today. If assignment is genuinely the whole problem, a dedicated routing tool is a reasonable choice. The question is the 12-to-18-month picture: when intake, AI triage, or multi-step processes arrive, teams tend to add a tool per problem and end up owning the seams. Evaluating for where you are heading, not only where you are, is the choice that ages best.

Some can, many can't. A lot of routing tools focus on one lane, revenue or service. If both matter, look for one system that runs lead routing, case handling, and custom-object workflows on the same model, so logic is configured once and reused rather than re-encoded per tool.

Can our team own it without a vendor dependency? What is the real total cost including the tools around it? Does it run natively in Salesforce or does our data leave the org? Can we trial it in a sandbox first? Does it treat availability, capacity, and response time as routing inputs? And the four the routing frame omits: what happens to work before it is routed, what happens after assignment, how is AI governed, and can one system cover both sales and service?

Round robin distributes records evenly in turn, one to each rep in sequence, regardless of how busy anyone is. Load balancing distributes by current workload, so the rep with the least open work is assigned next. Round robin is simplest and keeps the count even; load balancing keeps the effort even. Most Salesforce routing software supports both, often combined with skills, capacity limits, and availability so a record only goes to someone who can actually work it.

Skills-based routing assigns each record to the person best matched to handle it, by product, language, region, tier, or any attribute you define, rather than to whoever is next in line. It is the difference between spreading work evenly and spreading it correctly. Salesforce native assignment rules match on a single field; dedicated routing software combines skills with capacity, availability, and schedules so the match holds up when someone is at their limit or off that day.

Native Salesforce assignment rules are criteria-based and ordered: the first rule that matches wins. They cover simple distribution well and are already licensed. They stop short of round robin and load balancing, capacity limits, availability and schedules, skills matching beyond a single field, and re-evaluation as conditions change. Changing them often means an admin edit or a deploy cycle. When assignment needs to reflect who is available, who has room, and who is the right match, teams tend to reach for dedicated routing software or a broader orchestration system.

Some can, many can't. A lot of routing tools are built for one lane, lead routing for revenue or case routing for service. If both matter, or if you route custom objects, look for software that runs lead routing, case routing, and custom-object assignment on the same model, so the logic is configured once and reused rather than rebuilt per object. Object coverage is one of the fastest ways to tell a narrow tool from a broad one.

AI lead routing reads unstructured signals, intent, urgency, sentiment, and account context, and turns them into a routing decision, rather than matching only on the fields already on the record. The safety question is governance: which model runs, what it is allowed to influence, whether deterministic logic still controls the outcome where certainty matters, and whether every step is audited. AI applied selectively, with a deterministic backbone and a clear data boundary, is a very different proposition from a routing engine that hands the decision to a model wholesale.