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.
The AI operating layer
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.








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





























Hikari Blue Expertise & Services
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 callFlagship offer · Engineering Practice
Specialized agents engineered into your sales, finance and operations workflows, under governed autonomy, and measured on your operations, full costs included.
01 · Engineering Practice
AI pilots, platforms and legacy systems taken to production, with a rollback at every step.
Xavier de Maillard, Engineering Practice partner
Book a 30‑min call02 · Strategy Practice
Strategy turned into a sequenced program, with an accountable lead per workstream.
Franck Ohrel, Strategy Practice partner
Book a 30‑min call03 · Talent Practice
Senior operators where you need them, training by role, and journeys people actually use.
Rémi Claverie, Talent Practice partner
Book a 30‑min call04 · Run Practice
Delivery pipelines you can trust, and production run under clear SLAs.
Gilles Mischler, Run Practice partner
Book a 30‑min callEnterprise AI Agents
Turn repetitive work and fragmented workflows into coordinated execution, with AI agents engineered around your people, systems, and business goals.
Before
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.
Hikari Blue
We engineer agents into your existing applications, data and operations. Each one works within defined permissions and answers to a named owner.
After
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
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.
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 GrowthInvoices are matched, payments are prepared and closing entries are checked against your rules, with a named approver above each threshold.
AI‑Enabled OperationsRequests are read, routed and answered from your own knowledge, and every reply that commits the company goes to a person first.
Customer Experience & Product DesignOrders, 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 OperationsContracts, procedures and past decisions become answers your teams can cite, limited to what each person is allowed to see.
Custom Software PlatformsThe same operating layer is rolled out across portfolio companies, one workflow at a time, with one record the fund can read.
Digital Transformation ProgramsOur own AI agents are supervised in Atlas. Your workflows are scoped with you in the demo.
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
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
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
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 DemoBusiness impact
3 economic benefits, each produced by a mechanism you can inspect and measured on your own indicators, workflow by workflow.
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.
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.
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.
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
These figures describe the collective experience of our leadership team and expert network, not of one company alone.
Clients who agreed to be named










Software and platform engagements. References on request, under NDA and with each client’s consent.
Selected engagement
Luxury goods · Engineering · Cross‑border governance
Financial services · European tier-1
An open ecosystem
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.
A tabletop kill‑switch drill. It does not stop any system.
Tabletop exercise, timed and self-reported; not a measurement of a real stop.


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 templateOpens in Grok Bot (xAI). macOS app.
Hikari Blue builds agents on Grok Bot.
Compliance posture
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. |
2 ways to start
Product
After the click: a named partner replies in writing and schedules a walkthrough of Atlas.
Book an Atlas DemoHikari Blue Expertise & Services
After the click: the first exchange is free. A named partner replies quickly, in writing, then the 30‑minute call.
Book a 30‑min callCommercial engagement
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.
One scenario · Your clock
Tabletop exerciseFree
Who stops your AI, and how fast? Your team times one scenario and keeps the card.
What you get:
1 week · Paid engagement
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:
12 to 24 weeks · Delivered by a pod
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:
Ongoing subscription
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:
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.
Newsroom
Ask Hikari
4 lines are enough to start a serious conversation.
What happens next
Describe the challenge
4 lines in Ask Hikari. A first structured reading appears on screen.
We review the context
Send it with your name and work email. Your question and the reading reach a senior partner together.
A named senior contact responds
Quickly, in writing.
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
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?