Organizational intelligence
Understand the organization before you decide.
IRIS Discovery turns scattered signals into an evidence-based model of the business, connecting people, processes, systems, obligations and risks so you can see what is really happening before choosing what to do.
Organizational Digital Twin
Mid-sized company · manufacturing
- Known
- Evidenced
- Inferred
- Unknown
- Conflicting
Illustrative example
- 01
Signals
Scattered operational data
- 02
Profile
Initial scope
- 03
Twin
Navigable model
- 04
Insight
Evidence-based findings
- 05
Decisions
Prioritized actions
The data is there.
The understanding isn’t.
People, software, documents and processes generate information constantly, but its meaning remains fragmented. Discovery doesn’t collect more data: it helps you understand what the data means.
Tacit knowledge
Informal workflows, undocumented expertise and habits that exist only in people’s heads.
Diverging reality
The way work actually gets done drifts away from what the operating manuals say.
Disconnected silos
ERP, CRM, legacy tools and local spreadsheets with no unified view of the organization.
Static archives
PDFs, quality manuals and policies disconnected from what happens day to day.
Moving targets
The AI Act, NIS2, DORA, GDPR and other obligations keep evolving while operations carry on.
Investing blind
Changes approved without a connected view of systemic risk.
Start small.
Understand step by step.
No 200-question audit. Discovery starts from a handful of non-invasive signals and refines its model of the organization as confidence grows.
“We’re about 80 people. Production runs on our ERP, but planning still relies on a few Excel files. We’re ISO 9001 certified, and supply chain traceability is becoming a problem.”
Illustrative example · a few minutes to get started
Extracted signals → initial profile
- Industry
- Manufacturing · mechanical engineering
- Size
- 80 people · mid-sized company
- Certifications
- ISO 9001 · ISO 27001 planned
- Software
- Legacy ERP + parallel Excel spreadsheets
- Main challenge
- Supply chain traceability
- Digital maturity
- Hybrid / decentralized
Your organization,
made navigable.
Not a static org chart, but a semantic model connecting actors, assets, processes, information flows, obligations, evidence and vulnerabilities.
Organization
People · processes · systems
Processes
E.g. order management
Shadow assets
E.g. Excel-based planning
Information
E.g. delivery data
Evidence
Verified records
Vulnerabilities
Risks exposed by dependencies
Knowledge states
“We don’t know” is a valid answer.
Discovery keeps the line visible between what is known, proven, inferred, contradicted or still unknown. No gap is ever filled with an assumption dressed up as fact.
- Known
Directly verified
- Evidenced
Backed by records
- Inferred
Probabilistic inference
- Unknown
Uncertainty preserved
- Conflicting
Contradictory signals
- Unsupported
Unverified claim
One organization.
Four ways to read it.
X-Ray, Trust, Governance and Horizon are not separate inventories: they are different perspectives on the same model. Select a lens to see what it reveals.
What’s really happening?
Operational reality: parallel tools, informal handoffs and hidden dependencies.
Hidden dependencies
Informal handoffs and unmonitored scripts that keep operations running.
Excel dependencies
Local spreadsheets performing critical calculations with no versioning or controls.
Single points of failure
Critical procedures concentrated in one person or a single fragile path.
Process gaps
Differences between written procedures and the work done every day.
Isolated systems
Platforms that require manual re-entry, exports and reconciliations.
Missing evidence
Compliance claims not yet backed by verifiable records.
3 parallel tools and 2 fragile handoffs identified in the current model.
Simple on the outside.
Structured on the inside.
The conversational interface sits on a six-layer architecture that connects organizational data, industry knowledge, rules, verification and insight.
- L6AI & languageModel-grounded dialogue, semantic queries and guided data collection.
- L5Insight engineDependency assessment, compound risks and prioritization.
- L4Assessment & verificationControl maturity, evidence validation and confidence levels.
- L3Rules & governanceDeterministic predicates, SempliGo regulatory knowledge and legal constraints.
- L2Industry knowledgeIndustry archetypes, supply chain position and context.
- L1BaselineSize, jurisdiction and structure of the organization.
Query the organization
Copilot Discovery · grounded answer
- 1.Critical dependency on an Excel spreadsheet in production
- 2.Gap in the incident reporting process
- 3.Missing data protection impact assessment (DPIA) for internal analytics
Source · computed from Twin findings and the linked governance rules.
Illustrative interface
Every output can be traced back to its origin
- 01Source
- 02Evidence
- 03Rule
- 04Control
- 05Assessment
- 06Insight
- 07Recommendation
Understanding has to
lead somewhere.
Discovery translates complex findings into defensible priorities, risk exposure and a concrete roadmap, leaving final authority with people.
Where to act first
Action focused on the most significant vulnerabilities and dependencies.
Compound exposure
A structured view of the potential regulatory, operational and business consequences.
A staged plan
A phased agenda with owners, milestones and checkpoints.
Guiding principle
Humans stay in control.
Discovery prepares the decision. It does not claim to replace human authority.
Human oversight
Discovery prepares options and evidence; decision-making authority stays with people.
Evidence first
Claims are kept distinct from evidence and verification.
Explainability
Every insight can be traced along its causal and documentary chain.
The unknown stays unknown
What isn’t known is explicitly marked UNKNOWN, never guessed.
Governance by design
Regulatory knowledge is linked to the model of the organization.
Traceability
Every output retains its provenance from the sources that support it.
From signals to decisions
Discover. Model. Understand. Decide on evidence.
Risk, compliance, digital maturity and future obligations, read together rather than in separate silos.