Intelligent model routing and failover
Set defaults by team, route by complexity, and failover the instant a provider goes down, so every request lands on the right model.
Maintain three levels of control for every request.
The Model Gateway decides which model serves each request, by team, by complexity, and by which providers are healthy right now.
Set a default model for every team.
Give each team the model that fits how they work: Sales starts on Claude Sonnet, Engineering on GPT-5, Product on Claude Opus. Set it once in the gateway; every agent that team runs inherits it, and you can change it for everyone in one place.
Connect AI reads the request and routes it.
Connect AI uses prescribed routing rules and an assessment of each incoming request to route to the least expensive model that can serve it well. A simple lookup lands on an economy model; a cross-system analysis lands on a frontier one.
A provider goes down; requests don't.
The gateway watches provider health continuously. The moment one degrades or goes offline, in-flight and new requests fail over to a healthy model, with your context intact, so the answer holds. Your agents stay up while a provider is down.
What intelligent routing gets you
Every request on the right model, a lower bill by default, and uptime that survives a provider outage.
The right model, without anyone choosing.
Defaults by team and complexity-aware routing mean each request reaches the model that fits it, no engineer wiring model selection into every agent.
A lower bill, by default.
When a cheaper model can return the same correct answer, routing sends the request there automatically, capturing a spread of up to 178× between models.
100% uptime through an outage.
Continuous health checks and instant failover keep agents answering when a provider degrades, with context intact, so the answer never changes.
The same correct, safe answer—at up to 178× less cost, depending only on the model that served it. Based on internal testing by CData Software (Q3 2026). No independent third-party verification. Actual cost gaps varied among models, testing conducted using sandbox accounts containing known data sets that mirror production account structures. Results may not be representative of performance in live production environments, and results may vary. Organizations should conduct their own independent testing before making purchasing or implementation decisions.
We tested 22 models, from budget to frontier, on more than a thousand real questions against live enterprise systems. With Connect AI's data layer handling accuracy and safety, every model got the same right answer. The only difference was the price.
Read the StudyRouting that knows your data, not just your models
Defaults, complexity routing, and failover run in the layer that carries your context, so the model can change without the answer changing.
Change a team’s model in one place; every agent it runs picks it up.
CData Labs, 22 models against live Salesforce, Snowflake, and ServiceNow.
21 of 22 models returned identical results through the same governed tools, so failover doesn’t change the answer.
FAQ
Questions teams ask about routing.
Route smarter. Never go down.
Set defaults, route by complexity, and fail over across providers, all from the Model Gateway, with your context intact.