Orchestrating the work
Activities are assigned to people or AI agents based on declared skills. AI agents operate with explicit identities, tools, permissions, and responsibilities.
Platform
The control plane for building and governing digital capabilities
Q01 connects initiatives, organizational context, teams, AI agents, environments, and delivery in a single operating model that can be verified.
What it enables
Six platform capabilities
Organizational context
Conventions, stack patterns, and service profiles are described once and inherited across four layers. The same source serves developers locally and AI agents at run time.
Governance
Policies are defined centrally and applied across authorized tenants and workflows. Every delivery carries the program it belongs to.
Shared services
Model access, workflow engine, observability, and deployment templates shared by every team, instead of one toolchain per project.
Multi-tenant
Organizations, business units, and partners work in separate tenants under a shared governance model.
Evolution cycle
When a feature is completed, the service profile is updated: the next design cycle starts from what already exists rather than from scratch.
How it operates
From initiative to Enterprise Asset
Strategy · Design · Engagement · Delivery
01 · Strategy
Initiative
A business objective defines the expected value, accountabilities, constraints, and success criteria.
02 · Design
Design
People and AI turn the initiative into capabilities, requirements, services, activities, and acceptance criteria.
03 · Engagement · Delivery
Delivery
Internal teams, partners, and AI agents carry out the work in governed environments, with traceable identities and responsibilities.
04 · Capability
Evolution
The outcome updates the shared context, documentation, service profiles, and reusable components.
Architecture
Context is inherited across four layers
One source for people and AI agents alike
L1
Platform
Layered architecture, service endpoints, observability, security, error format.
L2
Tenant
The organization’s conventions: route prefixes, error codes, per-environment variables, pipelines.
L3
Stack
Patterns per language and framework: service bootstrap, error handling, metrics, tests.
L4
Service
The microservice profile: domain, entities, existing and planned features.
Without shared context the work produced is correct but foreign to the organization’s conventions, and review becomes the place where everything left undescribed has to be recovered.
AI and people
The choice is made per activity, not per project
AI-led
The AI agent leads
An isolated environment per session. Suited to work where context is sufficient: interfaces on a known schema, tests, alignment to conventions, repetitive changes.
Dev-led
The person leads
The work plan is exported and used in the developer’s own environment. Suited to work that requires judgment: architectural choices, ambiguous integrations, behavior that cannot be reproduced.
AI agents operate with explicit identities, tools, permissions, and responsibilities. What people contribute and what AI agents contribute remain distinguishable, because every contribution is attributed to a verifiable identity.
Governance
Shared rules, verifiable enforcement
Policies
Policies are defined centrally and applied across authorized tenants and workflows, instead of being rewritten for every project.
Checks before promotion
Delivery policies can require merge, review, and checks before a change moves to the next environment.
Interchangeable AI models
Model access goes through a shared gateway: agent-ready and model-agnostic, without depending on a single provider.
Composition
Applications and services can be composed from shared components, metadata, and contracts.
Adoption models
Four levels, one operating model
The technical scope changes, the rules do not
01 · SaaS
First program
The integration environment only, on platform infrastructure. Other environments are registered but not active.
- Infrastructure managed by Q01
- Inactive environments carry no cost
02 · SaaS full
Product in service
The full cycle through to production on shared infrastructure, with platform domains for each environment.
- Infrastructure managed by Q01
- For contexts without isolation constraints
03 · PaaS
Federated node
A dedicated cluster, your own domain, the tenant’s pipelines. Infrastructure governance is shared.
- Isolation and data residency
- The organization’s domain and certificates
04 · Dedicated
Your own infrastructure
The customer’s cloud provider, cluster, and registry. Q01 remains the control plane: it governs the operating model, it does not own the infrastructure.
- On-premises included
- For regulated contexts
See the platform
Let’s start from a real case
Bring us a scenario from your organization: in 45 minutes we work through it together and, where relevant, compare it with the platform.
AI-native · Federated · Customer-owned · AI-Native Operational Federation Platform for Enterprise Delivery Governance.