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R&D systems architecture

From complexity to
explicit decisions

Bringing an external, fact-based systems view to R&D organizations: observable artefacts, real interfaces, execution data. No opinions. Only structured evidence.

Research & Framework initiative. Not an operational AI tool provider.
We focus on structural clarity.

Our Philosophy

Recognizing Warning Signs

Operational symptoms revealing structural disconnects.

Endless Sync Meetings

Teams spend more time aligning than building. Information keeps getting lost between handoffs.

Late Integration Surprises

Components that worked in isolation fail together. Interface assumptions were never validated.

Scope Amnesia

Nobody knows why certain requirements exist. Original rationale is lost in email threads.

Zombie Documentation

Specs that exist but nobody trusts. The code is the only source of truth, and nobody reads it.

Key Person Dependency

Critical knowledge lives in one head. Project velocity halts when they're unavailable.

Persistent Schedule Slip

Each milestone reveals new work. Estimates keep growing because dependencies surface late.

Turning Facts Into Explicit Decisions

No opinions. No generic frameworks.
Analyzing observable artefacts to produce actionable outputs with evidence.

Input Analysis (Fact Base)

  • Project artefacts: specs, requirements, V&V, change requests, non-conformities
  • Execution system: backlog flow, incidents, release cycles, validation loops
  • Architecture & interfaces: allocations, ownership, dependencies, friction points
  • Data & traceability: quality, availability, decision logic, coherence

Output Structure (Deliverables)

  • Dependency & bottleneck map (system / org / data) with evidence
  • Top risks with proof elements, signals, and impact assessment
  • Decision log: hypotheses, criteria, trade-offs, ownership
  • 30/60/90-day trajectory with validation criteria and KPIs

Sequential Execution Model

A structured path to regain control: from diagnostic to secured trajectory.

1

Anchor Target

Define success criteria & non-negotiables.

2

Expose Gap

Identify real drifts & blocking dependencies.

3

Prioritize Levers

Impact/Effort matrix. Unlock biggest blockers first.

4

Secure Trajectory

30/60/90 day plan with clear validation rituals.

Engagement Models

Structured interventions adapted to your project pace and maturity.

1–2 Days

Flash Review

Urgent diagnostic for projects under immediate pressure. Quick evidence-based assessment.

  • Executive summary (key findings with evidence)
  • Top 5 risks (with proof elements)
  • Immediate actions (effort × impact)
1–3 Weeks

Complete Review

Deep system analysis for complex recalibration. Full dependency mapping and structured trajectory.

  • 360° diagnostic (interfaces, data, execution)
  • Dependency & ownership map
  • Decision log with criteria & rationale
  • 30/60/90 roadmap with KPIs
1–6 Months

Support Program

Install execution systems and build team autonomy. Workflows, governance, and knowledge capitalization.

  • Co-steering & governance rituals
  • Workflow setup (traceability, validation)
  • Standards & training for autonomy

Case Studies

Projects and identified use cases demonstrating our approach in action.

Diagnostic

R&D System Diagnostic

Audit and diagnostic tool for R&D systems. Maps architecture, analyzes In/Out flows, detects structural conflicts and technical debt.

System Audit Technical Debt Diagnostic
Explore workflow
Demo interface test
Project Execution

Agile Unified Project Execution

Cross-discipline execution framework harmonizing agile iterations with V-cycle gates. Workflow configuration, sprint/gate boards, and readiness dashboards.

Hybrid Agile V-Cycle Gates Multi-Discipline
Explore workflow
Demo interface test
AI + Quality

QMS·AI Workflow

AI-orchestrated document management for quality systems. Conversational interface for impact analysis, change proposals, and full traceability.

RAG NLP Traceability Audit Trail
Explore workflow
Demo interface test
V&V · Change Control

V&V and Change Control Cockpit

Release intelligence. Unify change control, verification, and release management into one cockpit. Link every change to its impact, every impact to evidence.

V&V Change Control Release Gates
Explore workflow
Demo interface test

Where We Operate

Our value lies in system reading and execution architecture, not in a specific technology.

Aeronautics
Energy
Space
Defense
Robotics
Automotive
DeepTech & AI
IoT
Instrumentation

Our Philosophy

We believe R&D chaos isn't a people problem—it's an information architecture problem. Talented engineers fail not from lack of skill, but from lack of structural clarity.

Our role is to extract, structure, and visualize the facts that already exist in your organization—then make explicit the decisions that were always implicit.

Based on 20+ years of hands-on R&D leadership in complex, regulated, multi-domain environments. We are not a software vendor > a systems builder.

Data Sovereignty & No Lock-In Local execution environment. No 'Black Box'. Your data does NOT train public AI models.

We don't bring opinions. We bring structure to deliver.

Clarify goals & constraints > Make implicit explicit
Map interfaces & ownership > Only observable facts
Install workflows & governance > Strengthen decisions with criteria
Capitalize into standards & training > Minimal viable documentation

Let's Talk

A first exchange (30 minutes)

To understand your challenges and see how Intellarys can help.

Email contact@intellarys.fr
Calendar Book a meeting
Presentation Download (PDF)

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