Unified model access
Keep the one-API gateway experience while routing approved frontier and specialist models from one place.
Find the best AI model for every task before you switch routers.
Gate Pilot is the routing agent inside Gate Router. It benchmarks your real AI traffic, shows where you are overpaying, and proves which model should handle each workflow based on cost, quality, latency, and company policy.
14-day AI Routing Audit
Connect anonymized traffic and see where Gate can lower spend, improve reliability, or prove your current route should stay.
Gate Pilot agent
An embedded routing agent that learns your approved providers, budget targets, quality bars, latency limits, and data rules.
Route Proof Logs
Every request gets an audit-ready record: chosen model, alternatives considered, cost delta, policy fit, and fallback path.
From model access to accountable routing
Gate keeps the one-API gateway experience, then adds the enterprise layer buyers actually need: a benchmarked, policy-aware reason for every model choice.
Smart Routing
Gate Pilot matches each workflow to the lowest-cost approved model that still clears quality, latency, and policy thresholds.
Route Proof Logs
An audit-ready log for each request showing the chosen model, alternatives considered, cost delta, policy fit, and fallback path.
Enterprise policy controls
Apply provider allowlists, ZDR rules, budgets, fallbacks, and review trails before teams move production traffic.
Bring your current router. Gate benchmarks against it.
Switch only the routes where Gate can prove savings, performance, or control.
Gate Pilot recommendation
Safe to switch support first
34% lower cost while passing the support QA rubric and company policy.
Current route
GPT-5.2
Gate route
Claude Sonnet 4.6
Anthropic
Cost
34% lower
Quality
QA pass
Latency
18% faster
Policy
0 violations
Route Proof Log
Every model choice, explained.
Gate Pilot records why a route changed, which models were considered, what it saved, whether it met policy, and how fallback will work in production.
Example workflow
Customer support summaries
Selected a lower-cost model that matched support tone, issue extraction, and p95 latency targets.
Chosen model
Claude Sonnet 4.6 (Anthropic)
Fallback path
Claude Sonnet 4.6 -> GPT-5.2 -> Gemini 3 Pro
Cache status
31% reusable prompt prefix
Department policy
support/standard
Turn model routing into a business case.
The audit shows exactly where your AI spend is being wasted, which routes are safe to change, and where Gate recommends keeping your current model.
Sample 14-day audit output
Support and internal ops are safe to move first.
Gate Pilot found expensive model usage in repeatable workflows, protected legal routes from unnecessary switching, and produced a route-by-route migration plan.
3,842
Requests tested
41%
Over-routed to frontier models
$42.8K
Estimated monthly savings
0
Policy violations found
Recommended migration
Start with Support summaries and Internal Ops workflows.
Keep Legal extraction on the current restricted route.
Use Gate Pilot fallback recovery for Engineering reviews.
Review savings and quality drift every 30 days.
Example task
Current route
Gate Pilot route
What the buyer learns
Summarize customer support ticket
GPT-5.2
Claude Sonnet 4.6
34% lower cost while passing support QA
Review engineering pull request
Claude Opus 4.5
GPT-5.2
Small savings, better regression detection
Extract contract obligations
Claude Opus 4.5
Claude Opus 4.5
No switch recommended because legal risk is higher
Rollup for selected workload
Customer support summaries
Metric
Current route
Gate Pilot
Takeaway
Start with a 14-day AI Routing Audit.
Give Gate anonymized traffic. We show where you can save money, where performance improves, and which routes should not change before you move production traffic.
Connect traffic
Mirror logs or shadow requests.
Benchmark
Replay approved models on real workloads.
Prove
Show cost, quality, latency, and policy proof.
Migrate
Move only the routes where Gate wins.