Proprietary frameworks refined across $725M in documented outcomes

Full-Spectrum Data & AI Engineering

Engineering teams from Fortune Global 500 operations: chemical plants, nuclear reactors, enterprise systems. We engineer solutions across data foundations, BI, ML, GenAI, and agentic automation that eliminate 40-70% of manual work and deliver measurable ROI within 12 months.

Typical engagements: $150K (department) to $10M+ (multi-department or multi-country enterprise).

$725M+
Client Value
100+
Projects
95%
Success Rate
4
Continents
Service Details

What We Deliver & What "Done" Means

Proprietary frameworks refined across $725M in documented client value, from strategic transformation to technical implementation.

FOR C-SUITE • TRANSFORMATION LEADERS • BOARD ADVISORS

Business & Corporate Transformation

$725M IN DOCUMENTED CLIENT VALUE • 100+ ENTERPRISE TRANSFORMATIONS

100+ enterprise transformations generating $725M in documented client value. We assess business processes first, quantify opportunities, prioritize by ROI, then engineer solutions across data, BI, and AI. Led by teams who've run Fortune Global 500 operations and hold HEC Paris Business Strategy credentials. We understand both boardroom strategy and production floor reality.

Typical deliverables
  • Business process assessment and opportunity mapping
  • Technology roadmap aligned to business objectives
  • ROI quantification and investment prioritization
  • FrontLoadIQ™ implementation methodology
  • Data Leadership Index maturity assessment
  • Organizational design and change management strategy
  • Executive alignment and board presentations
  • Strategic vendor evaluation and technology selection
What "done" means
  • Prioritized roadmap with ROI for each initiative
  • Executive and board alignment on transformation strategy
  • Business case approved by finance with clear success metrics
  • Technology choices mapped to business outcomes
  • Change management plan with stakeholder buy-in
  • Transformation governance structure operational
  • Quick wins identified with execution timeline
TYPICAL ENGAGEMENTS: $50K ASSESSMENT TO $10M+ MULTI-YEAR TRANSFORMATION
Technical Capabilities

Implementation Tools We Use to Deliver Transformation

Service

Data Engineering

DEPLOYED FOR 10+ COUNTRIES • PROCESSING 2 BILLION RECORDS DAILY

Foundations that scale: consolidate sources, standardize definitions, automate pipelines using frameworks refined across multinational enterprise deployments.

Typical deliverables
  • Data warehouses & lakehouse patterns (Snowflake, Databricks)
  • ETL/ELT pipelines, orchestration, monitoring
  • Data quality checks, observability, SLAs
  • Governance foundations: catalog, ownership, access
  • Cloud platform delivery (AWS, Azure, GCP)
What "done" means
  • Clear ownership and support model
  • Documented definitions and lineage
  • Automated testing and failure handling
  • Performance and cost controls
  • Reliable refresh cadence that teams trust
Service

Business Intelligence

400+ DASHBOARDS DEPLOYED • 10,000+ ACTIVE USERS

Executive dashboards and operational reporting built on semantic models and metric governance, aligned to how decisions are made, with adoption patterns proven in Fortune Global 500 environments.

Typical deliverables
  • BI strategy and KPI definitions
  • Executive dashboards and operational reporting
  • Semantic models and metric governance
  • Power BI, Tableau, Looker implementations
  • Adoption enablement and self-serve patterns
What "done" means
  • Metrics are consistent across teams
  • Ownership of definitions is explicit
  • Performance reliable at real usage levels
  • Dashboards tied to actions, not curiosity
  • Users know where to go, and trust what they see
Service

AI & Machine Learning

30–50% ACCURACY IMPROVEMENT TYPICAL

Predictive models engineered by teams who've operated chemical plants and manufacturing systems, designed for production with monitoring, retraining, and operational adoption built into every deployment.

Typical deliverables
  • Use case framing and prioritization
  • Forecasting and predictive models
  • Optimization engines and decision support
  • MLOps: deployment, monitoring, retraining cadence
  • Model risk controls and auditability where required
What "done" means
  • Baseline established and improvements measured
  • Data drift and performance monitoring in place
  • Clear ownership for model lifecycle
  • Human-in-the-loop defined where needed
  • Process integration (not a standalone notebook)
Service

Generative AI & LLMs

60–80% TIME SAVINGS ON DOCUMENT WORKFLOWS

Grounded assistants, RAG systems, and document automation deployed with enterprise guardrails, using the same privacy-first architecture we run in our own Noème.AI platforms serving universities and corporate boards globally.

Typical deliverables
  • RAG systems grounded in enterprise sources
  • Document extraction, summarization, workflow automation
  • Assistants for internal teams and customer-facing workflows
  • Prompt evaluation, quality measurement, iteration loop
  • Privacy, retention, and access controls aligned to policy
What "done" means
  • Clear sources of truth and citation behavior
  • Safety and policy constraints built in
  • Evaluation harness and measurable quality
  • Escalation paths for edge cases
  • Logging that supports governance and debugging
Service

Agentic AI & Automation

40–70% REDUCTION IN MANUAL PROCESSING

Multi-agent workflows with tool calling, permissions, and human-in-the-loop controls, engineered by teams who automated chemical plant operations before bringing these frameworks to enterprise business processes.

Typical deliverables
  • Workflow automation across tools and systems
  • Agent orchestration with tool calling and permissions
  • Decision automation with human approvals when needed
  • Process observability and incident handling
  • Governed rollout and change management
What "done" means
  • Actions are logged and explainable
  • Permissions and scope boundaries are explicit
  • Fallback paths exist when confidence is low
  • Monitoring and error recovery are built-in
  • Business owners can operate the process long-term
Product Capability

Noème.AI Product Suite

OPERATING ACROSS 4 CONTINENTS • GLOBAL + QUEBEC COMPLIANCE

SaaS platforms built on the same AI stack we engineer for enterprise clients: board governance, university planning, and Quebec compliance solutions. We practice what we preach: every framework we recommend runs in production in our own platforms.

Available products
  • Board Governance (global, contact sales for pricing)
  • University Planning (global, contact sales for pricing)
  • Garage Operations (global, contact sales for pricing)
  • Real Estate Management (global, contact sales for pricing)
  • Loi 25 Privacy Compliance (Quebec/NoèmeX, contact sales for pricing)
  • Loi 27 Harassment Prevention (Quebec/NoèmeX, contact sales for pricing)
What "done" means
  • Subscription-based SaaS, not custom development
  • Built using our own transformation frameworks
  • Global deployment with Quebec compliance pathways
  • Pricing scales with organization size

“Before this project, I had a fog of data in my head. I knew instinctively we had production and quality issues but couldn't pinpoint where to look or how to prioritize. After Global Data and BI's team delivered our Data & BI Platform, my operations team knows exactly where to look every morning before starting the day, clarity replaced confusion. Our product quality increased significantly and scrap quantities dropped. We went from intuition to precision, and from diagnostic to prediction and optimization.”

R. Bory,VP of Operations, Advanced Separations Manufacturing
How We Work

Proven Engagement Progression,
From Assessment to Enterprise Scale

Explore opportunities, prove value in one department, scale across the enterprise. Our FrontLoadIQ™ methodology delivers measurable results at each phase; 95% of our engagements advance to the next stage because clients see documented ROI before expanding.

Phase 1

Explore · Understand the Opportunity

Using Data Leadership Index™ and rapid assessment frameworks refined across 100+ enterprise engagements.

Starting Point
1.1 Free Resources & Strategy Call
Investment: Complimentary

Take the Data Leadership Index and schedule a 30-minute conversation. We'll give you a candid view of where technology can, and cannot, help.

Timeline: Immediate
15-min assessment 30-min strategy call Instant results
1.2. Rapid Discovery
Rapid Opportunity Assessment
For organizations exploring transformation programs

A one-week sprint on your highest-priority problem. We identify the top 3 use cases with rough ROI and implementation options. Reserved for qualified organizations considering enterprise-scale engagements.

Timeline: 1 week
Top 3 opportunities ROI ranges Go/no-go recommendation
Request scoping call
Phase 2

Prove · Turn One Area Around

Deploy FrontLoadIQ™ methodology: comprehensive assessment followed by full department transformation with 40–60% efficiency gains documented.

Deep Discovery
2.1. Business & Technology Assessment
Investment based on organizational complexity

A 4–6 week assessment spanning processes, systems, and data across your organization. You get a clear roadmap, technology choices, and quantified business case. Scaled to enterprise scope: geographies, business units, system landscapes.

Timeline: 4–6 weeks
Current state map Prioritized roadmap Executive workshop Quantified ROI
Contact for scoping
Quick Win Build
2.2. Department-Level Transformation
Full implementation, custom scoped

We fully transform one department or process with data, BI, AI, and automation, so you see real numbers and adoption before scaling. Complete end-to-end implementation including infrastructure, applications, training, and change management.

Timeline: 3–6 months
End-to-end build 40–60% efficiency gains User training Production deployment
Contact for scoping
Phase 3

Scale · Enterprise & Ongoing

Multi-year programs supported by the same operational engineering teams who've deployed systems across chemical plants, nuclear facilities, and Fortune Global 500 operations.

Enterprise Program
3.1. Enterprise-Wide Transformation
Multi-year programs, enterprise pricing
For organizations with $100M+ revenue or 1,000+ employees ready for company-wide operational transformation

Multi-department, multi-year program to build your data foundation, enterprise BI, and AI/automation capabilities company-wide. Programs scaled to Fortune Global 500 complexity with dedicated operational teams.

Timeline: 9–18 months
Enterprise data platform AI & BI at scale Change management Multi-geography deployment
Contact for enterprise scoping
Continuous Excellence
∞ Managed AI & Analytics Services
Annual support programs, custom scaled

We monitor and evolve your models, dashboards, and automations, and act as your extended data & AI team as needs change. Programs scaled to infrastructure complexity, model count, and user base.

Timeline: Ongoing partnership (12-month minimum)
Model monitoring Performance optimization Executive advisory Priority support
Contact for managed services
Start Here

Free Data Leadership Assessment

Benchmark your organization's capabilities, identify operational risks, and determine which investments generate the highest returns, in 15 minutes.

Data Leadership Index icon

Data Leadership Index

Our proprietary assessment helps CIOs and data leaders identify where fragmented operations create competitive risk and determine which initiatives drive measurable results.

  • Maturity score (0–100) across 12 capabilities.
  • Benchmark against industry leaders in your sector.
  • Prioritized roadmap ranked by business impact.
  • ROI projections for top transformation opportunities.

Ready to See What Technology Could Really Do for Your Operations?

We’ll start with where you are today, not a generic playbook. One conversation can clarify whether there is a genuine transformation opportunity worth pursuing.