From process to governed AI agents, in a single session.
Turn the process you already wrote into an editable workflow, an agent team and a compliance-ready design.
Agenticos reads your process document, converts it into an editable workflow, designs which agent handles which responsibility, and documents all of it with EU AI Act-referenced governance notes. The weeks usually lost between analysis and design collapse into one working session.
Agent projects stall at design, not analysis
Most organisations already know which process they want to automate. The bottleneck is designing who runs it with which responsibility, which approval gates apply, and which compliance requirements attach. That work usually spreads across weeks of meetings and scattered documents. Agenticos turns it into a structured, repeatable chain.
Six modules, one chain
Strategy
Turns BSC objectives into quarterly KPI plans and workflow candidates.
Planning
Converts your process document into an editable, simulatable workflow canvas.
Advisory
Produces automation candidates, AI use cases and source-referenced governance notes.
Orchestration
Keeps the workflow and a BPMN-like model in sync.
Execution
Builds a role-based agent team, handoff chain and automatic execution trace.
Verification
Validates the design with a GTL test plan and deployment readiness score.
What you walk away with
Workflow
Editable canvas, JSON, and an n8n-importable format.
Agent blueprints
Copy-paste system prompts, loop policies and tool bindings per agent.
Governance report
Excel workbook and a presentable PDF with source-referenced compliance notes.
Test plan
Domain-based test matrix, evidence pack and readiness score.
Compliance is not a layer added afterwards
Every output is written to an audit trail, text can be pre-scanned for personal data, and consent is captured at the start of the session. Governance notes are produced with references to the EU AI Act, ISO/IEC 42001, the NIST AI RMF and the MIT AI Risk Repository, so every recommendation is traceable to its source.
- EU AI Act risk classification (high / limited / minimal)
- Explicit marking of steps that require human approval
- Durable audit trail and workspace records
- Source-referenced recommendations — evidence, not assertions
What Agenticos designs for every agent
Agenticos is built on Risk-Proportional Determinism: probabilistic intelligence inside, deterministic boundaries outside. For every agent it designs, it produces an autonomy envelope — a five-point contract:
- What it can sense — the data sources it reads
- What it can do — the permitted commands and parameter ranges
- Its autonomy envelope — what it does alone, what needs approval, what is forbidden
- Who stops it, and how — the override and rollback path
- How the outcome is verified — the post-action check
Each action is placed in a risk tier — flexible, governed, constrained or deterministic — and the agent’s autonomy ceiling is set by how much determinism its execution boundary actually provides. A system without a real-time controller never gets a safety-critical action on its own; that action stays at the approval gate. The test plan starts every agent in shadow mode before it acts.
Agenticos does not design a single agent but an agent team: the roles, the hand-offs between agents, and the points where a human approves. The workflow and agent architecture it produces become the process skeleton of the organization’s living digital twin, which CompanyBrain then orchestrates as a multi-agent platform.
The same contract works whatever the agent’s body: a software agent, a cobot, a humanoid, an AMR or a drone. And because transformation is treated as a migration rather than a switch-over, agents go live one at a time, under control, as the organization adapts.
Who uses it?
Process owners and operations leaders
To see concretely which steps an agent can run.
Enterprise architects
To design agent architecture and integration points.
Governance and compliance teams
To embed EU AI Act and ISO 42001 requirements into the design.
Transformation leaders
To present pilot candidates together with a business case.
Plans
Free
- One project
- All six modules
- JSON export
- Audit trail
Pro
- Unlimited projects
- Excel and PDF reports
- Agent blueprint bundle
- Full test matrix and evidence pack
No credit card required. Workshop participants use the platform on a free account.
Cloud or local — and together with CompanyBrain
Agenticos comes in two architectures. In the cloud architecture it runs in the browser and you start immediately. In the local architecture it is installed on your own infrastructure, so process documents never leave the organization. The data decides: not sensitive, cloud; sensitive, local.
Agenticos is the design stage of a company brain. What it designs — workflow, agents, authority limits, test plan — is operated by CompanyBrain on top of your existing systems, and verified outcomes flow back into the next design round. The two products are designed to work together in either architecture.
Frequently asked questions
Do I need to install anything?
It depends on the architecture. In the cloud architecture, no: Agenticos runs in the browser at agenticos.indigonix.ai — you create an account and start with a process document. In the local architecture it is installed on your organization’s own infrastructure, for cases where process documents must not leave the organization.
What exactly do I need to provide?
A process description in plain text is enough — steps and roles. The platform derives the workflow from it.
Can I export the results?
Yes. Workflows export as JSON or in an n8n-importable format; reports export as Excel and PDF; agent blueprints export as JSON or Markdown.
Is my data used to train models?
Your data is not used for language model training and is never sold. Outputs belong to your organisation. Indigonix may study platform content for academic research and framework development, but only on anonymised data — names, emails, organisation names and account identifiers are removed first, and no customer appears identifiably in any research output. You can opt out by writing to info@indigonix.ai.
How does it relate to the workshop?
Agenticos is the live demo tool used throughout the Agentic Enterprise Design Workshop. You can also use it independently.
Can Agenticos design agents for robots such as cobots and humanoids?
Yes. Agenticos is embodiment-agnostic: a software agent, a cobot, a humanoid, an AMR or a drone is designed through the same five-point autonomy envelope — what it senses, what it can do, what it may do alone, who stops it, and how the outcome is verified. Physical agents never receive commands directly from an agent; every action passes through a safe execution layer, and the autonomy ceiling depends on how much determinism the system’s execution boundary provides.
KPIs are not dashboards. They are machine-readable decision triggers.