Case Studies
Real-world transformations powered by Elevant.AI
Ice Breaker...
Two guys are floating aimlessly in a hot-air balloon when they realize they are completely lost. Spotting someone on the ground, they lower the balloon and shout:
"Hey! Can you tell us where we are?"
The man on the ground squints up, pulls out a notebook, makes a few calculations then calls back:
"Certainly! You're in a hot-air balloon, about 30 feet above a wheat field, at 51° 30' 28" N, 0° 7' 23" W."
One balloonist turns to the other and sighs.
"That guy must be a consultant."
"How do you know?"
"Everything he told us is perfectly accurate... but totally useless."
Case Studies
Case 1: Enriching a consulting methodology with AI
Global Consulting Firm
The Context
A major consulting firm had developed an internal transformation methodology that had become too static and underused. Elevant.ai was engaged to modernize and augment it with AI and GenAI capabilities.
Approach
- Identified 25 areas for AI enrichment (automation, guidance, dynamic recommendations).
- Ran pilot modules to test impact and adoption.
- Embedded AI-driven assistants and continuous feedback loops.
Outcome
- Methodology transformed into a smart, adaptive delivery system.
- Consultants gained real-time guidance and automation of repetitive tasks.
- Adoption and value perception increased significantly.
- Elevant.ai became the orchestrator of the new AI-enabled framework.
Case 2: From Patchwork to Plan
Retail Organization
The Context
A mid-sized retailer faced margin pressure and disorganized initiatives across departments. Leadership sought a unified, actionable transformation roadmap aligned with strategic priorities.
Approach
- Conducted a 14-week diagnostic through data validation, stakeholder interviews, and workshops.
- Defined a 2-year roadmap of 22 projects with clear costs, dependencies, and governance.
- Deployed tailored experts and freelancers per workstream, coached by an embedded PMO.
Outcome
- Clear, company-wide program with aligned priorities and accountability.
- Faster delivery and measurable impact at lower cost.
- Client regained control, trust, and confidence -every euro linked to tangible outcomes.
Case 3: Fit-Gap Analysis for Odoo
Digital Consultancy Firm
The Context
An Odoo implementation partner faced time-consuming fit-gap analyses when matching client requirements against Odoo's standard functionalities. Manual comparison of customer needs with platform capabilities slowed down project scoping and increased the risk of overlooking customization needs. Elevant.AI was deployed to streamline this critical discovery phase.
Approach
- Integrated Elevant.AI to automatically map customer requirements against Odoo's standard feature set.
- Enabled rapid identification of gaps requiring custom development or configuration.
- Created AI-assisted reports highlighting coverage, gaps, and recommended solutions.
- Built knowledge base of common customizations and workarounds for recurring gaps.
Outcome
- Fit-gap analysis time reduced by 60-70% per project.
- Earlier and more accurate identification of customization scope and effort.
- Improved project scoping accuracy and client expectation management.
- Implementation team freed to focus on solution design rather than manual comparison.
Case 4: Commercial Journey Automation
HR Services Provider
The Context
A leading HR services provider aimed to accelerate growth by transforming its commercial process — from first client contact to onboarding — with Elevant.AI’s support.
Approach
- Mapped and redesigned the full sales-to-onboarding journey.
- Implemented AI-driven quote generation with dynamic, client-specific templates.
- Automated eligibility and compliance checks.
- Shifted from product-based to project-based selling.
- Deployed change management to align all consultants.
Outcome
- Quote creation time cut by over 50%.
- Consistent, high-quality proposals boosting brand credibility.
- Personalized offers increased win rates and client satisfaction.
- Onboarding fully automated, improving compliance and efficiency.
- A fast, intelligent, client-centered commercial process driving growth.
Case 5: Compliance Check & Validation of Technical Specifications
Diversified Maritime Group
The Context
A diversified maritime group faced the challenge of manually reviewing extensive technical specifications for new ship builds—a critical but time-intensive process. Each specification document needed verification against customer requirements, historical vessel data, regulatory frameworks, and class society rules. Missing items or non-compliance issues discovered during or after manufacturing resulted in costly delays and rework. The technical team required a solution to ensure specification completeness before production began.
Approach
- Deployed Elevant.AI to automate cross-referencing of new ship specifications against multiple sources.
- Integrated customer requirements, past ship specifications, and regulatory databases into the AI system.
- Configured automated compliance checking against maritime regulations and class society rules.
- Generated comprehensive gap analyses and comment lists highlighting missing or non-compliant items.
- Enabled technical teams to focus on resolution rather than manual verification.
Outcome
- Specification review time dramatically reduced while improving coverage and accuracy.
- Complete gap identification before manufacturing, preventing costly post-production corrections.
- Systematic compliance verification across all regulatory and class society requirements.
- Technical team capacity redirected from manual checking to value-added engineering work.
- Significant cost avoidance through early detection of specification gaps and non-compliance.
Case 6: Top-down & Bottom-up Strategy Alignment
Global Services Provider
The Context
A Global Services Provider faced a major transformation exercise which required alignment of leadership vision, ambition and constraints. This exercise needed to combine existing strategic work from past exercises with deep-dive analysis with each Factory Lead to capture priorities, challenges and realities.
Approach
- Combined top-down + bottom-up methodology covering all factories
- Standardised diagnostic per factory (7S, SWOT, BMC, GAP, KPIs)
- Consolidation into a 3-year transformation roadmap with priorities & quick wins
- Weekly governance to validate steps, remove blockers, ensure alignment
Outcome
- A complete, consistent and actionable strategic plan per factory
- A Group-wide integrated roadmap with phasing, dependencies and owners
- Clear project charters, KPIs and dashboards for execution & steering
- Executive-ready deliverables for COMEX & Board
Case 7: Automated Process redesign with BPMN
Manufacturing Giant
The Context
An industrial vehicle manufacturer's digital transformation team faced the challenge of documenting and analyzing the company's complete business process landscape. Traditional process mapping required months of manual work -consolidating scattered documentation, conducting numerous interviews, and translating findings into standardized BPMN diagrams. The fragmented nature of existing documentation and the complexity of cross-departmental processes made this a resource-intensive bottleneck for transformation initiatives.
Approach
- Deployed Elevant.AI to ingest and analyze diverse documentation sources and interview transcripts.
- Automated the creation of a comprehensive, organized inventory of all business processes.
- Generated standardized BPMN representations including departments, actors, events, actions, and gateways.
- Enabled systematic process discovery across all organizational functions.
- Provided the transformation team with structured, analysis-ready process documentation.
Outcome
- Process discovery and documentation accelerated by 70-80% compared to manual methods.
- Complete and consistent BPMN process library covering the entire organization.
- Clear visibility of cross-departmental workflows, dependencies, and handoffs.
- Transformation team empowered with accurate baseline for optimization initiatives.
- Foundation established for ongoing process improvement and digital transformation efforts.
Case 8: AI Business Case Detector and Adoption
Multiple Organizations
The Context
Multiple organizations recognized AI's potential but struggled to identify concrete, high-value use cases within their operations. Without a systematic approach to evaluate where AI could deliver meaningful business impact, companies risked pursuing low-value initiatives or missing critical opportunities. These customers needed a structured methodology to discover, prioritize, and assess AI business cases aligned with their unique value streams and competitive differentiators.
Approach
- Applied Elevant.AI's AI Business Case Detector methodology to analyze customer value streams.
- Mapped core business processes and identified key competitive differentiators.
- Generated families of AI opportunity areas with potential for significant added value.
- Detailed specific AI business cases within each family with clear descriptions.
- Assessed each business case for expected value creation and technical feasibility.
Outcome
- Comprehensive portfolio of prioritized AI opportunities tailored to each business.
- Clear understanding of where AI could strengthen competitive advantages.
- Business cases evaluated on both value potential and implementation feasibility.
- Strategic roadmap for AI adoption aligned with core business objectives.
- Faster time-to-decision on AI investments with reduced exploration risk.
Case 9: Automating Enterprise Architecture with Archimate
Enterprise Architecture Central Team
The Context
An enterprise architecture team faced the challenge of efficiently creating comprehensive Archimate-compliant enterprise architectures for diverse clients. While the Archimate standard defines elements and relationships across motivation, strategy, business, application, and technical layers, it provides no methodology for conducting the architecture exercise itself. Manual architecture development required extensive interviews, documentation analysis, and iterative modeling—consuming significant time and risking inconsistencies across the multi-layered frameworks.
Approach
- Deployed Elevant.AI to structure and automate the enterprise architecture creation process.
- Automated ingestion and analysis of client documentation, interviews, and strategic materials.
- Systematically mapped elements across all Archimate layers (motivation, strategy, business, application, technical).
- Generated compliant Archimate models with proper element types and relationships.
- Enabled enterprise architects to focus on validation and refinement rather than manual modeling.
Outcome
- Enterprise architecture development time reduced by 60-70% per engagement.
- Consistent, standards-compliant Archimate models across all client projects.
- Complete coverage of all architecture layers with proper element relationships.
- Architects freed to focus on strategic insights and stakeholder engagement.
- Scalable methodology enabling the firm to serve more clients efficiently.
Case 10: AI-Augmented Due Diligence & Value Creation Planning
Private Equity Firm
The Context
A private equity firm specialized in company acquisitions wanted to strengthen and accelerate its pre-acquisition analysis. Traditional due diligence processes were time-consuming, fragmented, and heavily dependent on manual analysis, making it difficult to rapidly assess strategic fit, value creation potential, and acquisition price. The firm engaged Elevant.AI to support a structured, AI-augmented due diligence of a target company under consideration.
Approach
- Elevant.AI was deployed as an AI-powered copilot throughout the analysis phase, covering strategic, operational, and financial dimensions.
- Strategic assessment : Analysis of the target company’s strategy, business model, and value proposition; Competitive positioning versus key market players.
- Value creation planning : Identification of strategic and operational improvement levers; Definition of a prioritized post-acquisition action plan.
- Financial analysis : Review of financial performance through key KPIs and value drivers; Identification of risks, opportunities, and improvement areas.
- Q&A preparation : Generation of a structured list of questions to be addressed to the seller and management team (Focus on strategy, operations, financials, and governance)
- Valuation support : Estimation of a potential acquisition price using market-based valuation multiples. Scenario-based assumptions to support investment decisions and negotiations.
- All analyses were performed using proven consulting and investment methodologies, embedded directly into the Elevant.AI platform.
Outcome
- Due diligence activities accelerated by 25–35%, significantly reducing time-to-decision.
- Improved consistency, depth, and traceability of strategic and financial analyses.
- Reduced manual effort while increasing confidence in the investment rationale.
- Elevant.AI became a repeatable analysis framework for future acquisition opportunities.