Engineering · For CIO, CTO, Head of Platform
The architecture behind the AI operating layer.
What every Hikari Blue engagement ships on. Reference architecture, native integrations, stack policy and engineering principles. Published so a CIO can evaluate the technical fit before booking a thirty-minute walk-through with the Engineering Practice partner.
Reference architecture
Multi-model orchestration with audit trail by architecture.
The layout below is the default. Every engagement starts here, then adapts to client constraints (sovereign deployment, model catalog, identity provider, observability stack). Variations are documented per engagement in the architecture decision record.
┌────────────────────────────────────────────────────────┐
│ YOUR BUSINESS WORKFLOWS │
│ (CRM, ERP, claims, KYC, clinical, ticketing, ...) │
└─────────────┬────────────────────────┬─────────────────┘
│ │
▼ ▼
┌──────────────────────────┐ ┌────────────────────────┐
│ IDENTITY & ACCESS │ │ POLICY ENGINE │
│ Okta / Azure AD / │ │ OPA / Cedar / custom │
│ SailPoint / Entra │ │ (per-tenant, per-task) │
└─────────────┬────────────┘ └───────────┬────────────┘
│ │
▼ ▼
┌───────────────────────────────────────────────────────┐
│ HIKARI BLUE OPS · the operating layer │
│ ┌──────────────┐ ┌──────────────┐ ┌────────────┐ │
│ │ Multi-model │ │ Audit trail │ │ Kill │ │
│ │ orchestrator │ │ (immutable) │ │ switch │ │
│ └──────┬───────┘ └──────┬───────┘ └────┬───────┘ │
│ │ │ │ │
│ ┌──────┴─────────────────┴──────────────┴────┐ │
│ │ Tool calls, retrieval, evaluation harness │ │
│ └────────────────────┬───────────────────────┘ │
└───────────────────────┬┴──────────────────────────────┘
│
┌──────────┬───────────────┼──────────────┬───────────┐
▼ ▼ ▼ ▼ ▼
┌──────────┐ ┌─────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ Anthropic│ │ OpenAI │ │ Mistral │ │ Google │ │ Local / │
│ Claude │ │ │ │ │ │ Vertex │ │ on-prem │
└──────────┘ └─────────┘ └──────────┘ └──────────┘ └──────────┘
OBSERVABILITY DATA RESIDENCY REGULATOR PORTAL
OpenTelemetry EU / US / on-prem Evidence export
Sentry / Grafana Customer-managed keys DORA / NIS2 / MDR
Datadog / Honeycomb Zero cleartext server-side EU AI Act Art. 12
-
Multi-model by architecture
Routing by task, by risk profile, by cost. Model switches in hours, never months. No vendor lock-in. Default catalog covers Anthropic, OpenAI, Mistral, Google Vertex. Self-hosted models and on-prem inference supported where regulation requires.
-
Audit trail by architecture
Every prompt, every output, every operator action, every model switch, every kill switch trigger: recorded immutably by the platform itself. Queryable by client teams. Exportable to regulator portals. Not a feature retrofitted before an audit.
-
Sovereign by construction
Data residency selectable per workload: EU, US, on-prem. Encryption at rest (AES-256) and in transit (TLS 1.3). Zero cleartext data server-side. Customer-managed keys on AWS KMS, Azure Key Vault, GCP KMS, HashiCorp Vault.
-
Kill switch as a property
Halt, throttle or roll back per workflow, per model, per user. Triggered from the operations console, from a policy violation event, or from a regulator notification. Behavior documented in the engagement runbook, tested quarterly.
Native integrations
We meet your stack where it already runs.
The integrations below are exercised on real engagements. Glue is built in days, not quarters. Anything not listed is supported via an architecture decision review at engagement kick-off.
-
Identity & access
Okta, Azure AD / Entra ID, SailPoint, Ping Identity, AWS IAM, GCP IAM. SCIM provisioning, SAML and OIDC, fine-grained RBAC. MFA enforced. No service accounts without rotation.
-
Data platforms
Snowflake, Databricks, BigQuery, Redshift, Postgres, MongoDB, Elasticsearch, S3 / GCS / Azure Blob. Retrieval augmented generation built against client warehouses, never against a copy.
-
Workflow systems
ServiceNow, Salesforce, SAP, Workday, Jira, Zendesk, Notion, Slack, Microsoft 365, Google Workspace. Operating layer plugs into existing workflows, does not replace them.
-
Security & observability
Splunk, Microsoft Sentinel, CrowdStrike Falcon, Wiz, Datadog, Honeycomb, Grafana Cloud, Sentry. OpenTelemetry pipeline standard. SIEM connector ships with every production engagement.
Stack policy
What we use by default. What we will not ship.
Published so a client CTO knows what arrives in their environment before week one. Deviations are documented per engagement in the architecture decision record and approved by the Engineering Practice partner.
-
Default stack
TypeScript and Python for application code. Go for performance-critical services. Postgres for relational, with vector extensions for retrieval. Container runtime on Kubernetes (EKS, AKS, GKE) or serverless where appropriate (AWS Lambda, Cloudflare Workers, Vercel). CI/CD on GitHub Actions or GitLab CI. IaC via Terraform or Pulumi.
-
Orchestration & agents
LangGraph or in-house orchestrator depending on engagement risk profile. Anthropic tool use, OpenAI function calling, Mistral function calling supported. Open Policy Agent for runtime policy checks. Always paired with human-in-the-loop checkpoints where decisions carry consequence.
-
What we will not ship
Single-vendor agent frameworks that lock model choice into the framework itself. Black-box vendor LLM wrappers without exportable prompts and traces. Production code without tests, observability and runbooks. Any model deployment without a kill switch wired to the operations console.
-
Open source posture
We use open source where it is mature, license-compatible and well-maintained. We do not ship NPM micro-libraries with unclear provenance. SBOM published per build (see Trust Center, Supply chain security).
Engineering principles
Six principles every engineer signs on day one.
These are the rules of engagement. Posted in every project repository. Reviewed at every architecture decision.
-
01Production from line one
We do not build POCs that are not designed to ship. The first commit assumes audit trail, observability and rollback. Throwaway code is rare and explicitly labelled.
-
02Reversibility by default
Every architectural choice has a documented rollback path. No big-bang migrations. Strangler patterns where the legacy is alive. Feature flags on production changes.
-
03Evidence beats opinion
Performance, security and reliability claims carry numbers. Numbers come from telemetry, not from slides. Architecture decision records cite measurements, not vendor pitches.
-
04Human-in-the-loop where consequence carries
Decisions that affect a customer, a balance sheet or a patient receive human review by default. The platform asks for approval, logs the choice, and learns from rejections.
-
05Exit by design
The day one architecture review names the conditions under which the client operates the system without us. We work toward that day from week one.
-
06Named accountability
One of four partners signs every engagement. No anonymous architecture. No reviewer-without-a-name. The decision log carries the operator who signed it, on every line.
Public artifacts
What we publish so you can evaluate cold.
A CIO should be able to form an architectural opinion without a sales meeting. These are the public artifacts.
-
Architecture for AI agent governance (white paper)
WP-HB-2026-00426, twenty pages, French. Reference paper on agent governance in regulated enterprise. English edition Q3 2026.
-
Operating System, the method
The six phases every Hikari Blue engagement follows: Diagnostic, Architecture, Build, Governance, Adoption, Run. Method, not framework.
-
Trust Center
Compliance posture, sub-processors, security architecture, incident response timelines, legal framework, insurance, supply chain security.
-
Newsroom
Operating field briefings on AI governance, agentic systems, regulation, enterprise architecture. Written from the field, not from the feed.
For CIO, CTO, Head of Platform
Walk through the architecture with the partner who signs it.
Thirty minutes. Xavier de Maillard, Engineering Practice partner. We bring the diagram for your stack and the integration matrix for your identity, data and security platforms. You bring the question that has not been answered yet.