Hikari Blue Ops · 01
The capability question is settled. Models draft, decide, execute. The open question is whether you can prove what they did, under which policy, on whose authority.
02
The EU AI Act makes traceable logs a legal obligation for high-risk AI systems: Article 12, record-keeping, enforceable December 2, 2027. Transparency duties already apply since August 2026. What is not traceable becomes hard to defend: to the regulator, and to your own board.
03
Most deployments can show that something happened. Few can reconstruct the chain: prompt, model, policy check, human approval, consequence. Activity is not accountability.
Live · in production
No off-the-shelf tool answered the questions our clients face in front of their boards. Hikari Blue Ops is the evidence layer we run our own AI engagements on: every action traceable, interruptible, defensible. It runs in production today.
Orchestrate, calibrate, govern. Multi-model by architecture: Claude, Gemini, GPT, open weights. Kill switch as architecture, not feature. Zero cleartext data server-side. When agents move from experiment to production, governance becomes infrastructure.
Four capabilities, engineered together
Not a feature catalog. Four properties of the architecture, all engineered together so the platform is defensible to a board, a regulator and an internal auditor · on the same day, from the same evidence.
Anthropic, OpenAI, Mistral, Google. No vendor lock. Models swappable in hours, not in quarters. The orchestration layer absorbs the API surface differences so the client logic does not.
Every action, every tool call, every operator decision, every model swap. Immutable, queryable, exportable. EU AI Act-ready evidence emitted by the platform · not assembled from logs in the week before the audit.
Data residency selectable per workload. EU, US, on-prem. Zero cleartext data server-side on sensitive workloads. The residency posture is a design choice, not a vendor concession.
An agent session halts in seconds, its tool permissions revoked with it. Models retire on a defined timeline · fifteen minutes, two hours, twenty-four hours. Two objects, two SLAs. Each is a control flip, not a weekend project.
One door
Every deployment begins the same way ours did: a four-week diagnostic. Your agents, your obligations, your evidence gap, mapped. Sizing and budget come out of the risk map, not before.
