Governed AI capability across your organization

Software that carries executive decisions — not assistants that sit beside them.

Every recommendation has an owner, a rationale, and a reversible record. A growing family of products — Virtual Organization, Nora, and Saga today — on one design and governance system.

  • Named owneron every action
  • Proposeduntil an executive approves
  • Reversiblefor seven days by default
AI earns authority through governance, not fluency.See how we build

INSTRAT360 turns AI into governed business execution. AI proposes; named people approve; every consequential action is logged and reversible. A growing family of products — Virtual Organization, Nora, and Saga today, with commercial and product evolutions to come — shares one governance system, built for Danish and EU organisations.

The portfolio

One governance model, a growing family of products

One design system, one governance model, and one audit trail run across the whole family — starting with the three foundation products, from where a direction is formed to where a decision is executed and recorded.

ExecutionCentral AI workspace

Virtual Organization

The central AI workspace where plans, decisions, and deliverables are produced. Conversation is the control layer; nothing consequential applies without a named approval.

For: CEO · CAIO · COO

Open Virtual Organization
DirectionStrategy narrative & signal

Nora

Where a direction is formed and tested. The narrative and its evidence live in one place, so assumptions are explicit and a direction can be tested before it is committed.

For: Strategy · CFO · CAIO

Open Nora
DecisionAI leadership facilitation

Saga

Structured leadership sessions that reach a recorded decision — what was chosen, what was rejected, and on what basis — then hand it to the workspace as plans and owners.

For: Boards · ExCo · CHRO

Open Saga
The expanding family

One foundation, a growing family of virtual organizations

Virtual Organization is the foundation. From it we are building role-specialized evolutions — a virtual product organization and a virtual commercial organization — the model layer that powers them, and the network that beneficially introduces them to one another. Each ships on the same governance model.

Evolution — Virtual CPOIn development

Virtual Product Organization

Digital product innovation

The product organization as a virtual team — an AI chief product officer that turns outcomes and evidence into prioritised opportunities, interactive prototypes, and specifications ready for Jira and GitHub delivery.

Evolution — Virtual CCOIn development

Virtual Commercial Organization

Commercial growth

A full commercial organization run as governed virtual employees — lead discovery, missions, personalized outreach, and pipeline, with every consequential action held for your approval.

Evolution — capabilityIn development

Commercial Capability Platform

Assessments & learning

A commercial capability platform for assessments and learning — measuring commercial skill and building it with governed, AI-assisted programs.

Model foundationIn development

Gro

Build LLMs from the ground up

Our AI model development platform — building language models from the ground up, so the intelligence beneath every product is genuinely our own.

NetworkIn development

Rede

Where the products meet

A networking AI app where every product — and the people who use them — are beneficially introduced to one another across the family.

How the three connect

Direction becomes decision becomes execution

A direction is formed and tested, turned into a decision the team owns, then executed and recorded. One audit trail runs the whole length of it.

  1. Direction

    Nora

    Forms the direction and tests it against signal.

  2. Decision

    Saga

    Turns the direction into a decision the team owns.

  3. Execution

    Virtual Organization

    Executes the decision and keeps the record.

Nothing consequential moves between the three without a named approval — every action is logged with its author and rationale, and applied changes stay reversible for seven days.

Explore the governance model
INSTRAT360 Studio — engineering

The AI engineering team behind the products — put to work for you

The IP, orchestration, and intelligence layer that power our own products are the same foundation we build on for clients. From startups to enterprises, we take teams from idea to a production-grade AI application in weeks, not months.

New initiative

We don't build wrappers. We build powerful experiences.

Most AI products are a thin prompt over someone else's model. We build full-stack applications on our own orchestration and intelligence layer — and, where it matters, we train real models from scratch rather than fine-tuning a general one.

  • Full-stack AI applications, not prompt wrappers
  • Real models built from scratch — not only fine-tuning
  • Orchestrated on our own IP and AI intelligence layer
  • Production-grade, governed, and owned by you

Service lines

A fast path to real AI outcomes

AI Consulting & Strategy

Executive-level guidance that turns AI ambition into a governed roadmap, prioritised by value and feasibility — not hype.

  • Opportunity and readiness assessment
  • Prioritised, governed AI roadmap
  • Business case and value modelling
Validate in weeks, not quarters

AI Prototyping

A working prototype on your own data and workflows, so a decision to invest is made on evidence rather than a slide deck.

  • Clickable, working proof of concept
  • Evaluation on your real data
  • Clear go / no-go recommendation
Full-stack applications, weeks not months

AI Development

Production-grade AI applications built on our orchestration and intelligence layer — engineered, governed, and ready to run.

  • Full-stack app on our IP and intelligence layer
  • Integrations, chat, and agentic workflows
  • Governance, audit, and observability built in
Real models, not just fine-tuning

Custom Models & Builds

When a general model won't do, we build one — bespoke models and systems that become durable IP your company owns.

  • Models built from scratch for your domain
  • Evaluation, safety, and performance testing
  • Full ownership and handover — no lock-in

Startups

Ship a fundable, production-grade AI product fast — leveraging our IP instead of rebuilding the hard parts.

Enterprises

Transform a function or line of business with governed AI that meets your security and compliance bar.

What we build

  • Live sales applications
  • Business transformation
  • Executive intelligence & reporting
  • Agentic workflow automation
  • Custom copilots & assistants
  • Domain-specific model development
Platform capabilities

One intelligence layer, everything built on it

Whether we build for our own products or for you, the same capabilities come as standard — orchestration, integrations, chat, and real model development, all under governance.

Agent orchestration

Multi-agent workflows that plan, call tools, and hand off work — coordinated, not one-shot prompts.

AI intelligence layer

Our own reasoning, memory, and evaluation layer sits above the models, so quality doesn't depend on one provider.

Deep integrations

Connect the tools and data a business already runs on, with least-privilege access and approvals on writes.

Conversational control

Chat is the control surface — grounded in your data, with sources, and nothing consequential applied until approved.

Model development

From selection and fine-tuning to models built from scratch when a domain genuinely demands it.

Executive deliverables

Decks, reports, and analyses generated from structured, canonical values — not copy-pasted guesses.

Real-time & live AI

Low-latency, streaming experiences — live meeting and call copilots, real-time transcription, sentiment, and fast-lane responses that keep pace with the conversation.

Advanced AI software engineering

AI that writes and ships production code across languages, frameworks, and codebases — plus browser and computer automation to capture and act in real systems, always approval-gated.

Rapid prototyping & simulation

From idea to an interactive, clickable prototype in days — product builders and simulations that turn a direction into something you can test before committing to a full build.

See how every capability stays governed
Selected client collaborations

Delivered with teams building real AI

A selection of the organisations we have partnered with — from enterprise transformation to startup product and model delivery.

Enterprise → startup
Delivered across company stages
Weeks, not months
From idea to production-grade build
6 EU frameworks
Designed against from day one
100% owned by you
Full handover, no lock-in
Enterprise telecom

Strategic transformation · Jira Cloud · agentic AI

INSTRAT helped us turn an ambitious AI direction into a concrete and testable solution — connecting strategic transformation, Jira Cloud, and agentic AI in a practical environment.
Casper Olsen
Senior Director & Head of Strategic Planning & Execution
YouSee
Scale-up · SaaS

Technical migration · product & AI runtime

INSTRAT quickly developed a deep understanding of our product, architecture, and AI runtime. They have supported us from technical migration through continuous product and AI delivery.
Pascal Janus
Co-Founder & CTO
Echory GmbH
Consulting firm

Delivery model → AI-enabled product concept

INSTRAT helped us translate our consulting delivery model into a clear AI-enabled product concept — connecting insights, strategy, tactics, and organisational mobilisation in one coherent flow.
Peter Hindkjær
CEO & Founder
GRAPE A/S
See how an engagement runs

Collaboration summaries shown with permission pending; wording is being confirmed with each partner before publication.

Roles it serves

Everyone lands on the screen that settles their question

The workspace opens to the view each executive needs first — and answers the one thing they came to settle.

  • CEOExecutive briefWhat needs a decision this week
  • CAIOGovernance & auditWhere AI acted and under whose authority
  • CFOIntelligenceWhere margin and growth actually sit
  • COOPlanningWhat is blocked and the recovery path
  • CHROEmployees & capacityWho is overloaded and where work should move
Governance by default

Nothing consequential happens without a named approval

AI earns authority through governance, not fluency. The CAIO gets a defensible record; the CEO gets speed without exposure.

  • Named approval

    Nothing consequential happens without a named approval.

  • Logged with rationale

    Every AI action is logged with its author and rationale.

  • Reversible 7 days

    A seven-day reversible window on applied changes, by default.

  • EU data residency

    EU data residency and AI Act alignment.

  • Role-scoped access

    Access is role-scoped down to the individual objective.

The execution layer

Governed virtual employees carry the work

Inside Virtual Organization, virtual employees reason over your context, propose editable outputs, request approval before acting, and keep an audit log — the same governed engine behind every objective.

  • Role & mission
  • Business memory
  • Tools & functions
  • Document & vector context
  • Contextual AI actions
  • Structured outputs
  • Editable proposals
  • Approval cards
  • Apply all / apply selected
  • Audit logs
  • Task execution
  • Report & deck generation
  • Workflow support
  • Browser / computer-use (CUA) — later
Compliance by design

Built for your most sensitive data — compliant across every layer

For AI that operates across the organization, compliance and information security are part of the product, not later documentation. One shared, compliance-ready foundation, with stricter controls activated by customer, data, and intended use.

  • GDPRData protection & DPIA
  • EU AI ActTransparency from Aug 2026
  • NIS2Cybersecurity baseline
  • DORAFinancial-services overlay
  • EU Data ActSwitching & portability
  • Cyber Resilience ActScope assessment
  • GDPR & data governance

    Clear controller/processor roles, lawful-basis mapping, and full data-subject rights.

  • EU AI Act governance

    Every AI capability records purpose, provider, data, evidence, owner, and approval.

  • Executive & financial controls

    Deterministic math, canonical values, and immutable, reproducible decisions.

  • Cybersecurity & resilience

    A NIS2-aligned baseline with a financial-services overlay for DORA scope.

  • Customer control & portability

    You see where data lives, control retention, and can export or exit at any time.

  • In the product, not a module

    Governance, provenance, approvals, and an audit view appear through the interface you already use.

We build a compliance-ready foundation and require a formal DPO, legal, and security verification before deployment with real executive or customer data. Full compliance depends on the application, deployment, contracts, and each use case being aligned.

Learning hub

See governed AI in motion.

Short product overviews, tutorials, and walkthroughs for Virtual Organization, Nora, and Saga — each with chapters and a full transcript.

Explore the library
Thumbnail for the video “Launching Three Distinct Virtual Organizations in September”0:53
Release announcementVirtual OrganizationFeatured

Launching Three Distinct Virtual Organizations in September

Discover the phased rollout of three complete Virtual Organizations starting September 1st. Each day unveils a new workspace designed to accelerate your AI-driven business execution.

Product Release

Thumbnail for the video “NORA Strategy Alignment Coach Explained”1:02
Marketing videoNoraFeatured

NORA Strategy Alignment Coach Explained

Discover how NORA continuously ensures your initiatives stay aligned with your company's mission and strategy while coaching intelligent flexibility.

Nora Explaind · AI for Leadership

From the newsroom

News, answers, and field notes on governed AI.

Visit the newsroom
News

INSTRAT360 opens the Newsroom

One place for product news, answers, and field notes across Virtual Organization, Nora, and Saga — built to be reshared.

Jul 28, 20261 min
Engagement model

Twelve weeks to a governed workspace in production

From the first session to live objectives running alongside your existing cadence — then your team owns it.

  1. Week 1–201

    Diagnostic

    Where decisions are actually made, and where they stall.

  2. Week 3–602

    Configure

    Roles, objectives, data contracts, and approval thresholds.

  3. Week 7–1003

    Run in parallel

    Live objectives alongside the existing cadence.

  4. Week 11–1204

    Hand over

    Your team owns it; we stay on call for a quarter.

Questions

Governed AI, briefly explained

The short version of what INSTRAT360 is, how the products connect, and how teams begin.

What is governed AI at INSTRAT360?
Governed AI means AI proposes and named people approve. At INSTRAT360, every consequential action has an owner and a rationale, is logged, and stays reversible — so AI becomes accountable business execution rather than unattributed automation.
Is INSTRAT360 a Danish AI company?
Yes. INSTRAT360 is a Danish AI company, registered in Denmark (CVR 36912758) and based in Gentofte near Copenhagen, working across Denmark and the wider EU. What sets us apart is governance: every consequential AI action has a named owner, a rationale, and a reversible audit trail, and the products are built for EU AI Act and GDPR expectations from the start rather than retrofitted.
How do the three foundation products connect?
Virtual Organization, Nora, and Saga share one design system, one governance model, and one audit trail. Nora forms and tests a direction, Saga turns it into a decision the team owns, and Virtual Organization carries that decision into governed execution — recorded end to end. The evolutions we are building — a virtual product organization, a virtual commercial organization, the model layer beneath them, and the network that connects them — ship on the same governance model.
How do companies get started?
Most teams start with one high-stakes decision or workflow. We stand up the relevant product on the shared governance layer so you see named approvals and audit trails on real work first, then expand across leadership, sales, and product from there.

Next steps

Start with one live objective on your own data.

Start with AI consulting or a short governed pilot — from a leadership session to a go or no-go on your own numbers, not a demo.

AI consulting

How the pilot runs

  1. 1

    Leadership session

    A focused two-hour working session with your leadership team to pick the objective.

  2. 2

    One live objective

    We configure a single real objective on your own data — not a demo or sample content.

  3. 3

    Go / no-go in two weeks

    You reach a clear go or no-go decision within two weeks, judged on your own numbers.