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Hikari Blue

The AI operating layer

Put AI into production. Keep control.

We design, build and run custom AI systems, integrations and AI programs for mid‑market and enterprise companies.

We design, build and run custom AI systems, integrations and AI programs.

Our own platform: Atlas, the workspace where your teams supervise AI agents.

  • Atlas demo: a guided walkthrough of our own platform, in a demo environment.
  • 30‑min call: scope a custom build, an integration or an AI program.
Thomas, Chief Revenue Officer, an AI agent in Atlas. Its autonomy, set by you: Governed, among 4 levels.
Follow-ups due in Atlas: Sable Point Energy, field report summarization, no reply for 19 days.Open
Thomas, Chief Revenue Officer, an AI agent in Atlas. Its autonomy, set by you: Governed, among 4 levels.
Follow-ups due in Atlas: Sable Point Energy, field report summarization, no reply for 19 days.Open
Our own platformAtlas by Hikari BlueAtlas by Hikari Blue

Atlas by Hikari Blue

See what your AI agents did today.

Set each agent’s autonomy, read its runs and verdicts, and act on the decisions waiting for you.

Book an Atlas Demo
Atlas · AgentsLedgerUsageFollow-ups
Atlas legend: run states Active, Pause, Stop; autonomy levels Prepares, Governed, Autonomous, Fully autonomous.
Owen, an AI agent, active.Its run state and its autonomy level, set by you.
Clara, an AI agent, on pause.Its run state and its autonomy level, set by you.
Margaret, an AI agent, active.Its run state and its autonomy level, set by you.
Henry, an AI agent, active.Its run state and its autonomy level, set by you.
Agent · Runs · Verdicts
Henry, an AI agent.5 runs, 5 published.
Nora, an AI agent.30 runs, 30 draft.
Walter, an AI agent.2 runs, 2 decisions.
Tokens used per day by the AI agents in Atlas, over 30 days. Tokens used per model: Opus 5.5, Sonnet 5.5, Haiku 4.5.
Follow-ups due in Atlas: 3 quotes with no reply, each one ready to open.
Owen, an AI agent, active.Its run state and its autonomy level, set by you.
Margaret, an AI agent, active.Its run state and its autonomy level, set by you.
Agent · Runs · Verdicts
Henry, an AI agent.5 runs, 5 published.
Nora, an AI agent.30 runs, 30 draft.
Walter, an AI agent.2 runs, 2 decisions.
Tokens per model Tokens used per model: Opus 5.5, Sonnet 5.5, Haiku 4.5.
Follow-ups due in Atlas: 2 quotes with no reply.
AI software agents, not people, each with a name, a role and a schedule. You set each agent’s autonomy, from draft-only to autonomous.Each agent run leaves a timestamped entry. The Ledger shows each agent’s run count and verdicts.Tokens used per day and per model by your AI agents, in one place.Follow-ups and decisions waiting for a person are listed in Atlas, each one ready to open.

Hikari Blue Expertise & Services

Systems that survive contact with operations.

We design, build and run custom systems on your stack, with or without Atlas. 4 Practices, each led by a named partner, from diagnosis to handover.

Book a 30‑min call

Flagship offer · Engineering Practice

Put AI agents to work across your business.

Specialized agents engineered into your sales, finance and operations workflows, under governed autonomy, and measured on your operations, full costs included.

Enterprise AI Agents

Put AI agents to work across your business.

Turn repetitive work and fragmented workflows into coordinated execution, with AI agents engineered around your people, systems, and business goals.

  1. Before: requests wait in a queue while a person copies them by hand between the CRM, the ERP and the knowledge base.

    Before

    A fragmented process

    Requests wait in a queue. Your team copies the same data between the CRM, the ERP and the knowledge base, by hand, one case at a time.

  2. Hikari Blue: specialized agents are engineered into the CRM, the ERP and the knowledge base, each within its declared permissions.

    Hikari Blue

    Specialized agents, inside your systems

    We engineer agents into your existing applications, data and operations. Each one works within defined permissions and answers to a named owner.

  3. After: requests move through the agents and the systems, a person approves the reply that commits the company, and the result is measured.

    After

    Coordinated execution

    The operation runs coordinated, with more capacity to execute. Your team approves what commits the company and keeps control, and the result is measured on the indicators you already report.

Illustrative workflow. Possible gains, measured workflow by workflow and never promised: faster execution, greater operational capacity, lower avoidable operating costs, new business capabilities, governed autonomy.

We do not sell agents. We engineer business capability.

The outcome is why you act. Agents are the capability. The AI operating layer integrates and runs them. Governance makes the value last.

What's possible

Don't just add AI. Reinvent what your company can achieve.

6 functions where one workflow in production changes how the work gets done. In every system we engineer for you, each one runs with a named owner, a full record and a way to stop it.

  • A sales workflow in production, from the incoming lead to a quote approved by a salesperson.

    Sales & Revenue

    Leads are qualified, quotes are prepared and follow-ups are sent inside your CRM, and a salesperson approves what leaves the company.

    E-commerce & Digital Growth
  • A finance workflow in production, where an invoice is matched and a named approver releases the payment above the threshold.

    Finance & Administration

    Invoices are matched, payments are prepared and closing entries are checked against your rules, with a named approver above each threshold.

    AI‑Enabled Operations
  • A customer request is routed and answered from company knowledge, and a person reviews the reply that commits the company.

    Customer Experience

    Requests are read, routed and answered from your own knowledge, and every reply that commits the company goes to a person first.

    Customer Experience & Product Design
  • Orders and purchasing prepared from current data, with an exception routed to the planner who owns it.

    Operations & Supply Chain

    Orders, purchasing and forecasts are prepared from current data, and each exception reaches the planner who owns it, with the record of what the agent did.

    AI‑Enabled Operations
  • Contracts, procedures and past decisions become cited answers, filtered by what each person may see.

    Enterprise Knowledge

    Contracts, procedures and past decisions become answers your teams can cite, limited to what each person is allowed to see.

    Custom Software Platforms
  • One operating layer rolled out across several portfolio companies, one workflow at a time, with a single record read by the fund.

    Portfolio Transformation

    The same operating layer is rolled out across portfolio companies, one workflow at a time, with one record the fund can read.

    Digital Transformation Programs

Atlas by Hikari BlueAtlas by Hikari Blue

What Atlas runs today.

Our own AI agents are supervised in Atlas. Your workflows are scoped with you in the demo.

Compliance audit

Owen, an AI agent, audits our public site every week and applies the fixes its charter allows.

Owen · every week

In the demo: Active · Autonomous

Newsroom writing and editing

Clara, an AI agent, drafts briefings; Margaret, an AI agent, edits and prepares them for publication.

Clara · twice a week · Margaret · every day

In the demo: Clara on Pause · Margaret Governed

Revenue and strategy briefs

Thomas, an AI agent, prepares a weekly revenue brief; Charles, an AI agent, a weekly strategy memo. Drafts only.

Thomas · every week · Charles · every week

In the demo: Governed

Business-plan control

Walter, an AI agent, checks the business plan twice a month and reports; it never edits a published figure.

Walter · twice a month

In the demo: Governed

Roles and schedules are those of our own agents.

Book an Atlas Demo

Business impact

Intelligence is the capability. Performance is the objective.

3 economic benefits, each produced by a mechanism you can inspect and measured on your own indicators, workflow by workflow.

  • One operating layer connects models, data and business systems, and each new AI use is added on top of it.

    Faster time to production

    We take one workflow to production first, in phases that each end with a go/no-go, and every next use builds on the same operating layer instead of starting over.

  • A business workflow runs with AI inside it, and its existing indicators track cost, lead time and quality.

    Lower total cost of operation

    Our model-agnostic architecture runs each task on the model it needs, local open-weight models included where they fit; switching providers is a routing change, not a rebuild.

  • A workflow in production with its named owner, its record of decisions and its stop path.

    Revenue protected from operational risk

    In every system we engineer for you, each workflow in production has a named owner, an append-only record and a kill switch, so an error can be stopped and traced before it spreads to your customers.

Diagram: an AI capability becomes execution inside a business workflow, and execution becomes value, under control.
CapabilityExecutionValue

Strategy without deployment is theatre. Deployment without ownership is dependency. We do neither.

New to the category? Read the definition: what is an AI operating layer?

Proof

Built by operators. Proven in complex environments.

These figures describe the collective experience of our leadership team and expert network, not of one company alone.

  • 25+Years. Entrepreneurial and technology leadership experience
  • 600+Projects. Delivered across our leadership teams and expert network
  • 450+Senior operators. An extended network of experienced specialists
  • 4Exits. Entrepreneurial exits across our leadership team

Clients who agreed to be named

Software and platform engagements. References on request, under NDA and with each client’s consent.

Selected engagement

Cross‑border digital sovereignty for a global luxury leader.

Luxury goods · Engineering · Cross‑border governance

Client context
A global luxury maison operating across 2 continents.
Business challenge
Keep the brand's digital presence in mainland China under local data residency, without breaking brand consistency across continents.
What was engineered
Data residency engineered in for mainland China, one governance across both jurisdictions, and a governed transfer between them, with its record.
Operational outcome
The brand's digital presence secured across mainland China, with brand consistency and operational reliability preserved across 2 continents.
AI production references on request, under NDA and with each client’s consent.

Financial services · European tier-1

Production AI workflows under model risk discipline.

Challenge
AI‑augmented decision support in a regulated customer workflow, with DORA in scope.
Ambition
Run that workflow in production under model risk discipline.
Transformation
Model risk governance integrated from the architecture phase, with multi‑model orchestration.
Execution
Audit trail emitted at runtime; a model swap is a routing change, with the audit unchanged.
Outcome
Production AI workflows whose evidence is emitted, not assembled.
Evidence
Walk‑through under mutual NDA. No performance figure is published.
Read the healthcare case

An open ecosystem

Independent by architecture.

Models, cloud platforms and data infrastructure evolve. Our architecture stays focused on your operations, not on a vendor.

Examples of the technologies the layer connects.

You can't scale AI you can't stop.

KILLSWITCH by Hikari Blue × Grok Bot: what's your AI's Time to Stop?

A tabletop kill‑switch drill. It does not stop any system.

Tabletop exercise, timed and self-reported; not a measurement of a real stop.

Grok BotGrok Bot
Public template

KILLSWITCH by Hikari Blue

Your AI goes off the rails at 3 a.m. Who stops it, and how fast? KILLSWITCH by Hikari Blue times it. One scenario, your clock, a card you keep. It does not stop any system.

Open the template

Opens in Grok Bot (xAI). macOS app.

Hikari Blue builds agents on Grok Bot.

Compliance posture

Engineered for audit. Honest about certification.

We do not publish certifications we have not earned. Our systems are designed to produce the evidence enterprises actually need: audit trails, access control, data governance, privacy documentation and regulatory readiness. Open the trust center

Standard Status Evidence
SOC 2 Type II In preparation Not certified. Control mapping in preparation; the audit start date is published when the auditor is engaged.
ISO 27001 Target 2027 Not certified. Information security management system in preparation; certification audit targeted for 2027.
GDPR & CCPA Available Privacy notice and DPA available. Sub‑processors list maintained.
EU AI Act Architecture property The systems we engineer for you are designed to emit, through their audit trail, the record-keeping evidence the regulation requires of high-risk AI systems (Article 12). Not a certification, an architecture property.

Request the trust pack under NDA

2 ways to start

See the product, or start a project.

Product

For teams that want to supervise their AI agents in one workspace.

After the click: a named partner replies in writing and schedules a walkthrough of Atlas.

Book an Atlas Demo

Hikari Blue Expertise & Services

For a custom build, an integration, an AI program or an embedded pod, with or without Atlas.

After the click: the first exchange is free. A named partner replies quickly, in writing, then the 30‑minute call.

Book a 30‑min call

Commercial engagement

4 steps, from a free drill to AI that runs in production.

Start free with KILLSWITCH by Hikari Blue. The first paid step is the 1-week Operating Assessment. Each step gives you what you need to decide on the next one, before you commit to it.

  1. One scenario · Your clock

    KILLSWITCH by Hikari Blue

    Tabletop exerciseFree

    Who stops your AI, and how fast? Your team times one scenario and keeps the card.

    What you get:

    • One AI use, one timed scenario
    • A card your team keeps
    • No system connected or stopped
  2. 1 week · Paid engagement

    Operating Assessment

    From$18,000,· 1 week

    1 week on one critical workflow, at a public price. Multi-workflow scope on quote.

    What you get in 1 week:

    • Time to Stop established
    • The workflow's value, quantified
    • A named owner
    • A plan to put it into production
    The 4 deliverables of the Operating Assessment: Time to Stop established, the workflow's value quantified, a named owner and a plan to put it into production.
  3. 12 to 24 weeks · Delivered by a pod

    AI‑Enabled Operations

    Fixed priceset at the Assessment · paid in phases, each ending with a go/no-go

    One workflow put into governed production by a pod, then handed to your team with the controls to run it.

    What you get: one critical workflow in production, with:

    • Operational controls
    • Governance
    • Auditability
  4. Ongoing subscription

    Run

    Monthly,sized to what runs in production

    Your systems kept in production, with costs and incidents under control, on a monthly retainer.

    What you get, every month:

    • Costs under control
    • Incidents under control
    • A named partner who answers for it

Start at any step. The first exchange is free: a written reply from a named partner, then a 30‑minute call. Scope, pricing and duration depend on the agreed engagement.

Ask Hikari

Describe your challenge. A senior partner will take it from there.

4 lines are enough to start a serious conversation.

Plain words. No polish needed.

Or pick a starting point:

What happens next

  1. Describe the challenge

    4 lines in Ask Hikari. A first structured reading appears on screen.

  2. We review the context

    Send it with your name and work email. Your question and the reading reach a senior partner together.

  3. A named senior contact responds

    Quickly, in writing.

  4. We determine the appropriate next step

    The first exchange is free: the written response, then a 30‑minute call.

The Operating Assessment that may follow is paid: 1 week, from $18,000.

Ask Hikari prepares the brief. A person answers it. Book a 30‑min call

Bring the real problem

Bring us the critical workflow.

Describe the system, the constraint and the outcome you need. A named senior partner will review your request and respond quickly.

Start with the definition the rest of this site applies: What is an AI operating layer?