o10

Artificial Intelligence for ai agents

Artificial Intelligence in ai agents workloads (18.0B/mo): Artificial intelligence is the field of building systems that learn patterns from data and act on new inputs. Enterprise AI spend concentrates in inference: serving models to users and APIs at scale.… Apply a balanced quality floor; o10 routes to cheapest compliant supply.

Illustrative workload cross-reference. Example volumes and routing assumptions are not measurements of your application.

SummaryKey takeaways

What you need to know

Start with the core questions, then examine the examples and tradeoffs below.

How does artificial intelligence affect ai agents?

Artificial intelligence is the field of building systems that learn patterns from data and act on new inputs. Enterprise AI spend concentrates in inference: serving models to users and APIs at scale. For ai agents at 18.0B/mo, artificial intelligence ties to Up to 85% compliant routing opportunity at a balanced floor.

How should you route ai agents given artificial intelligence?

Define eval floors from production samples. Route to cheapest model clearing the bar. Shadow mode proves savings before enforce.

How does o10 apply?

o10 enforces routing, policy, and KYI governance in the request path above all gateways and clouds.

01Deep dive

Production application

Artificial Intelligence in AI Agents context

Segment by use case before applying global defaults. Eval floors differ per workload.

Shadow mode proves compliant savings before enforce mode changes production routes.

SourceMethodology

o10 topic cross-index. Glossary: /glossary/artificial-intelligence. Use case: /use-cases/agents.

FAQFrequently asked questions

Common questions

What is Artificial Intelligence in AI Agents?

Artificial intelligence is the field of building systems that learn patterns from data and act on new inputs. Enterprise o10 is the control plane above gateways, aggregators, and Bedrock: complementary to access and observability layers, not a replacement for them.

What is shadow mode?

Shadow mode mirrors live inference traffic through o10 without changing production routes. For every request, o10 evaluates candidate models against your per-use-case quality floors and records which route would have been cheapest and compliant. Along with the cost delta, while the original provider still serves the response. Engineering sees proof without production risk; finance gets a verified savings figure tied to your traffic, not industry averages. Most teams run shadow for 7–14 days segmented by use case (support, RAG, code, batch) before flipping enforce mode.

What is enforce mode?

Enforce mode places o10 in the request path. On every call, o10 selects the cheapest eval-passing model within your budget envelope before the request reaches the provider. Failed eval candidates are never routed. Each enforced call writes an immutable ledger entry: model, venue, and fully loaded cost. Jurisdiction and data-residency venue controls are on the roadmap, not enforced today. Enforce without shadow proof is possible but discouraged. Shadow establishes trust with engineering and finance first.

How are savings verified?

Savings are verified against your own shadow baseline per use case, not industry averages or vendor marketing claims. o10 mirrors a week or more of production traffic, segments by workload, and compares what you actually spent versus what you would have spent on the cheapest eval-passing route at the same quality floor. Finance signs off on the delta before enforce mode flips. Gainshare pricing ties o10 fees to this verified number, so savings must be real and auditable.

What is KYI?

Know Your Inference (KYI) is a governance framework by o10 that scores inference systems across five weighted pillars: Performance (25%), Economics (25%), Integration (20%), Strategy (20%), and Risk (10%). Each pillar scores 0–100; the composite rolls into a confidence level and board-signable recommendation. KYI runs continuously in the o10 control plane, not as a one-off audit. So every routed call and eval updates the score. A composite floor of 65 triggers enforcement levers: cap, rightsizing, or sunset per policy.

Which venues does o10 support?

o10 unifies routing across per-token API gateways (unified inference gateway), OpenRouter (multi-provider aggregator), Amazon Bedrock (per-token and committed capacity), and owned or open-weight infrastructure. A single control plane sits above all venues. You do not need separate dashboards per provider. o10 selects the cheapest eval-passing route per call and holds budget envelopes. Committed Bedrock drawdown and open-weight routing are first-class venues, not afterthoughts.

How fast to go live?

Most stacks connect o10 in shadow mode within a day: point traffic through the control plane, segment by use case, and start the verified savings clock. Enforce mode follows after per-use-case eval equivalence is proven. Typically one to two weeks for enterprises with multiple workloads. No six-week gateway migration is required; o10 sits above existing gateways and clouds. KYI scoring and the immutable ledger stay live from day one in shadow.

What is a quality floor?

A quality floor is the minimum eval score a model must achieve for a specific use case before o10 routes production traffic to it. Floors are per workload. Support, RAG, code, and batch clear at different bars, and measured by replaying representative traffic through eval suites, not assumed from vendor benchmarks. Once a cheaper candidate passes the floor, o10 can route to it in shadow (proof) or enforce (live). Floors without evals are hopes; evals without floors are expensive defaults.

o10Set the envelope. o10 holds it.

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Paste a week of traffic. Get the number that books the audit.

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verified savings methodology · State of Inference Spend 2026