Frequently Asked Questions

Indigonix System Intelligence designs and builds governed enterprise intelligence systems. The work falls into four areas: assessing AI maturity, designing and building agentic enterprise architecture, bringing those systems under governance frameworks such as ISO/IEC 42001 and the EU AI Act, and improving them continuously through regular monitoring and audit. The central question is not “how do we use AI” but “how do we design autonomous systems responsibly.”

Yes, we build agents — but we do not hand over agents alone. We treat agentic transformation as a migration: the organization is moved into the new structure gradually rather than all at once. Processes are first redesigned with you for agent-to-agent and human-to-agent working, and costed. Agents then go into production one at a time, under control, alongside the scalable environment they need. Our forward deployed engineers develop agentic citizens inside your teams. After go-live the system is monitored through audits and continuously improved.

The services are structured as a lifecycle rather than standalone packages: maturity assessment, redesigning processes for agent-to-agent and human-to-agent working, agentic enterprise architecture, cost estimation, controlled rollout to production, then audit and continuous improvement. The lines are: AI Maturity Assessment, Agentic Enterprise Architecture, AI Governance & Compliance, Strategy Intelligence, Process Orchestration, AI Security & Resilience, Governance Dashboard, BPMN Orchestration, Agent Topology and KPI Decomposition. On the product side there is CompanyBrain and Agenticos; on the training side the Agentic Enterprise Design Workshop and four programmes.

Most engagements begin with a two-week readiness scan. The scan establishes current process maturity, data readiness and governance gaps, and produces a concrete view of which processes are suitable for agentic transformation and which are not. An alternative entry point is the one-day Agentic Enterprise Design Workshop.

Finance, healthcare, manufacturing, energy, retail, defense, education, agriculture, smart city, audit and consulting, and hospitality operations. Because the approach is an architectural discipline rather than a sector-specific product, this list is not closed — what determines fit is the structure of the process and its governance requirements, not the industry.

Prices are not published on the site because scope varies substantially between organizations. For trainings and workshops there are special campaign terms valid until 31 August 2026. To request a quote, write to info@indigonix.ai.

No — the certificate is issued by an accredited certification body, which conducts a Stage 1 documentation review followed by a Stage 2 implementation audit. Indigonix works on everything up to that audit: gap analysis, building the AI management system, writing policies and controls, and preparing the evidence base. See the ISO/IEC 42001 implementation guide for detail.

EU AI Act requirements are treated as part of system design rather than a compliance layer added afterwards. In practice that means risk classification, human oversight points designed into the workflow, and decision logs and explainability mechanisms built from the start. A free preview of the EU AI Act Readiness Guide can be downloaded from Labs.

CompanyBrain is a cross-domain decision-intelligence layer that sits on top of your existing systems — a company brain. It replaces nothing; it brings their data into a shared context and runs a six-stage loop: it sees, understands, reasons, acts according to risk, verifies the outcome and converses in plain language. It is sector-independent, deploys in a cloud or a local architecture, and final approval always stays with a human. More at companybrain.indigonix.ai

No. The deployment comes with a data sense-making engagement: the intelligence sitting latent in your scattered data is extracted, structured, and turned into a holistic information-system layer that learns and improves itself. What you end up with is not a searchable archive but a living organizational memory — a layer that accumulates as it is used and raises the quality of decisions. Why that differs from an ordinary document store is set out in Your Company Has Data. But Does It Have Memory?

All of your business processes go live in line with the enterprise architecture. They do not stay frozen as definitions: they continuously gain meaning from incoming data, and as your strategy shifts they can be modernized through agentic orchestration without a rebuild. The whole mechanism is observable, auditable and loggable — which decision was made on which data, when, and under whose approval can always be traced backwards.

Yes — and in that case you do not need to buy a separate information system. New companies can build their brain directly on the platform: processes, decisions and records accumulate inside CompanyBrain from the outset. The difference is this: in an established organization institutional memory is something you have to extract afterwards; in a new company it is something that accumulates from day one. What matters is not the age of the company but how much of its knowledge sits in systems versus in people’s heads.

Both; there are two separate architectures. In the cloud architecture you start immediately on a hosted platform, and data is processed by the service providers listed in the privacy notice. In the local architecture the model and engine run on your own hardware, fully air-gapped if required; the principle is to bring the model to your data. The choice is driven by how sensitive the data is and which regulation applies: for organizations whose data must not leave, we recommend the local architecture.

Agenticos is a software product that turns your process document into a governed AI agent design in a single session: workflow, agent architecture, compliance notes and test plan. The design stage of every new company brain happens here. In the cloud architecture it runs in the browser at agenticos.indigonix.ai; in the local architecture it is installed on your own infrastructure. Consulting, by contrast, is a human-led design and implementation engagement specific to your organization.

Agenticos designs, CompanyBrain operates. Agenticos turns a process document into a workflow, agent architecture, authority limits and a test plan; CompanyBrain runs those agents on top of your existing systems; verified outcomes and operational data flow back into the next design round. The two products are designed to work together in either architecture — cloud or local — and where process documents are sensitive too, both are installed together locally.

CompanyBrain is not a single assistant but a team of agents with separate roles and authority tiers: one queries and analyses data, one creates and updates records but submits every write for approval, one guides users through the platform, one manages where models run, plus organization-specific specialists. Agenticos designs this team and CompanyBrain orchestrates it; one agent’s finding becomes another’s input, and every agent has a human owner. More: Products

Yes — as the loop runs, a living digital twin of the organization or system emerges. The difference: most digital twins model an asset’s state; this one also models decisions — which decision was made, on what evidence, under whose approval. Because verified outcomes are written back it learns with the organization, and it is the ground on which an action is tested in shadow mode before it touches the real world.

It is the design principle defined for agentic and autonomous systems by Indigonix founder Dr. Damla Aslan: probabilistic intelligence inside, deterministic boundaries outside. The agent’s reasoning space stays wide, while the point where it touches the world is bounded by rules. Adaptivity decreases as consequence severity increases: flexible autonomy at low risk, governed autonomy at medium risk, an approval gate at high risk, deterministic execution when safety-critical. Agenticos and CompanyBrain are built on it. More: Products

No. An agent never writes directly to a system of record or to an actuator; every action passes through a safe execution layer, where only permitted commands are dispatched within permitted ranges, logged, and rolled back where needed. The deterministic boundary at the bottom is provided by an RTOS, a PLC or software policy plus a hardware emergency stop, depending on the system — and the strength of that boundary sets the ceiling on the autonomy an agent can be given.

Yes. The architecture is embodiment-agnostic: a software agent, a cobot, a humanoid, an AMR or a drone connects 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. Agenticos designs the envelope, CompanyBrain operates it, and physical agents run in the local architecture, at the edge.

The Agentic Enterprise Design Workshop runs for one day, comprises six modules and takes roughly seven hours. It can be delivered in person or online. It is aimed at C-Suite executives, digital transformation leaders, process owners and enterprise architects. Participants leave with a working multi-agent system architecture for their own process and a presentable transformation pitch.

Both are available. There are four programmes: AI Literacy (online training), AI Literacy Workshop, EU AI Act Workshop, and AI Governance & Agentic System Workshop. Programme content and agendas are on the Trainings & Workshops page.

Istanbul (Arel Tekmer), Ankara (Next Level) and London (17 Green Lanes, London, N16 9BS). Because workshops and trainings can be delivered both in person and online, geography is not a constraint on working together.

Corporate invoicing, contracts and the required supplier documentation are provided. The process is typically completed within three to five business days after an initial call.

Organizational data shared during consulting and workshop engagements is never sold to third parties and never used for language model training. Data processed in the Agenticos platform is held in Frankfurt (AWS Europe Central 1) and is covered by the platform’s own privacy notice. Where data must not leave the organization, both products can be deployed in the local architecture — the model runs on your own hardware. On this site, only the email address you enter in the guide request form is processed — see the Privacy Notice.

It is the right time if AI projects keep stalling before production, if agent initiatives get stuck moving from analysis into design, or if ISO/IEC 42001 or EU AI Act requirements have landed on the agenda. Contact: info@indigonix.ai