Executive and Data/AI leaders: prioritize initiatives and establish a credible path to scale.
AI & Data Readiness Diagnostic
- Prioritized use cases
- Data and AI maturity
- Risks and dependencies
- Executive roadmap
DATA · AI · CYBER — ADVISORY, BUILD & RUN
Data, AI, Cyber. One team to scale with confidence.
Yellowsys brings together advisory, engineering and cybersecurity to scope, build, secure and operate your transformations. Yellowmind, our AI platform, accelerates the path to scale.
- 100+ Data, AI & Cyber experts
- 15% of revenue invested in R&D
- From strategy to RUN
Which priority should you start with?
Three entry points designed around the decision you need to make.
CISOs, CIOs and CTOs: understand platform exposure before it becomes critical.
Secure AI & Data Platform Assessment
- Prioritized exposure
- Control findings
- Security recommendations
- Remediation plan
AI, business and compliance leaders: align stakeholders around a governable use case.
Secure GenAI Workshop
- Framed use case
- Data and responsibilities
- Risks and controls
- Architecture principles
Outcomes tied to their scope.
Big 4 · Finance/Audit
AI regulatory compliance review
- Scope
- The described regulatory review process
- Context
- Strengthen a regulatory review process subject to the AI Act framework.
- Engagement
- Structured, traceable review workflow
- Process controls and audit
- Decision-system security
- Outcome
- −40% processing time on the described process, with process compliance audited against the AI Act.
Pathé Gaumont · Media
Decision system and data governance
- Scope
- Decision system and audience data
- Context
- Modernize a decision system built on audience data.
- Engagement
- Modernized decision systems
- Stronger audience-data governance
- Shared access and quality rules
- Outcome
- +32% audience engagement on the described scope, with no observed non-compliance.
Sodexo · Services
Centralized and secure Data architecture
- Scope
- The described centralized Data architecture
- Context
- Centralize a Data architecture while strengthening its security.
- Engagement
- Centralized architecture and encryption
- Granular access control
- Security built in by design
- Outcome
- +45% data quality on the described scope, with no observed security incident.
Outcome qualification — These figures apply only to the described scopes. Methods, periods and measurement details are shared during a qualified discussion.
Enterprise AI has enough ideas. It needs evidence, control and repeatability.
Experiments multiply, but fragmented data, unmanaged risk and practices that cannot be reproduced still prevent operational scale.
Fragmented knowledge
Teams still search, verify and consolidate information before they can decide.
Isolated experiments
A useful prototype remains difficult to transfer, evaluate and reproduce in operations.
Insufficiently governed risk
Access, models, data, connectors and actions must be controlled before they become critical.
Frame, prove, industrialize, capitalize.
- 01
Frame
Clarify the problem, value, users, data, risks and success criteria.
- 02
Prove
Run a diagnostic, prototype or pilot on a controlled and measurable scope.
- 03
Industrialize
Integrate the use case, controls, observability, security and adoption.
- 04
Capitalize
Turn validated practices into reusable components, agents and playbooks when appropriate.
Yellowmind extends our work when an AI practice needs to become repeatable.
When the context calls for it, Yellowsys uses its proprietary platform to turn validated practices into sourced, controlled and reusable agents and playbooks.
Evidence with every answer
Bring results, sources, actions and validation into one experience.
Repeatable playbooks
Combine branches, rules, human checks and evaluation criteria.
Governed access
Set roles, knowledge, tools and permissions for each context.
Four use cases where evidence changes the decision.
Document analysis
Consolidate heterogeneous documents into sourced summaries.
Discuss this use caseAudit and compliance
Structure controls, analyze gaps and retain evidence.
Discuss this use caseKnowledge assistants
Provide contextual access to authorized internal knowledge.
Discuss this use caseBusiness workflows
Standardize tasks, coordinate stakeholders and measure quality.
Discuss this use caseChoose the next useful step.
In thirty minutes, clarify your priority, primary risk and best starting point.