Enterprise AI advisory deployment
Consulting-led AI deployment aligning technology strategy with measurable operational performance goals.
Client
Nexentis Holdings
Services
AI strategy, Custom AI implementation
Industry
Enterprise consulting
Timeline
12 weeks
About project:
A multinational enterprise sought to modernize its operations through AI but lacked a clear roadmap for implementation. Multiple departments were experimenting with automation tools independently, resulting in fragmented systems, duplicated efforts, and inconsistent data governance.
Executive leadership needed a structured, organization-wide AI strategy that aligned with long-term business objectives. They required guidance on prioritization, risk mitigation, compliance considerations, and measurable ROI before committing to full-scale deployment.
Intellix delivered a comprehensive AI advisory and deployment program that translated strategic vision into executable systems. By combining executive workshops, technical assessments, and scalable architecture design, we created a unified AI framework that enabled controlled experimentation, cross-team alignment, and sustainable transformation across the enterprise.
What we did:
Strategic roadmap development
We began with an AI readiness assessment across departments, evaluating infrastructure maturity, data quality, workflow complexity, and operational gaps. Through executive strategy sessions, we identified high-impact automation opportunities and defined phased implementation milestones. Governance models and security protocols were established to ensure responsible AI adoption across all business units.
Deployment & organizational alignment
Following roadmap approval, our engineering team implemented pilot automation systems focused on operational efficiency and decision intelligence. Each solution was designed with modular architecture to allow iterative scaling.
The enterprise achieved measurable productivity gains while reducing redundant tooling across teams. Leadership gained clear visibility into performance metrics and ROI, enabling confident expansion of AI initiatives. The result was a cohesive, enterprise-wide transformation rather than isolated automation experiments.
Impact:
3.2X
Productivity increase
45%
Conversion rate increase
33%
Faster deployment
Enterprise AI advisory deployment
Consulting-led AI deployment aligning technology strategy with measurable operational performance goals.
Client
Nexentis Holdings
Services
AI strategy, Custom AI implementation
Industry
Enterprise consulting
Timeline
12 weeks
About project:
A multinational enterprise sought to modernize its operations through AI but lacked a clear roadmap for implementation. Multiple departments were experimenting with automation tools independently, resulting in fragmented systems, duplicated efforts, and inconsistent data governance.
Executive leadership needed a structured, organization-wide AI strategy that aligned with long-term business objectives. They required guidance on prioritization, risk mitigation, compliance considerations, and measurable ROI before committing to full-scale deployment.
Intellix delivered a comprehensive AI advisory and deployment program that translated strategic vision into executable systems. By combining executive workshops, technical assessments, and scalable architecture design, we created a unified AI framework that enabled controlled experimentation, cross-team alignment, and sustainable transformation across the enterprise.
What we did:
Strategic roadmap development
We began with an AI readiness assessment across departments, evaluating infrastructure maturity, data quality, workflow complexity, and operational gaps. Through executive strategy sessions, we identified high-impact automation opportunities and defined phased implementation milestones. Governance models and security protocols were established to ensure responsible AI adoption across all business units.
Deployment & organizational alignment
Following roadmap approval, our engineering team implemented pilot automation systems focused on operational efficiency and decision intelligence. Each solution was designed with modular architecture to allow iterative scaling.
The enterprise achieved measurable productivity gains while reducing redundant tooling across teams. Leadership gained clear visibility into performance metrics and ROI, enabling confident expansion of AI initiatives. The result was a cohesive, enterprise-wide transformation rather than isolated automation experiments.
Impact:
3.2X
Productivity increase
45%
Conversion rate increase
33%
Faster deployment
Enterprise AI advisory deployment
Consulting-led AI deployment aligning technology strategy with measurable operational performance goals.
Client
Nexentis Holdings
Services
AI strategy, Custom AI implementation
Industry
Enterprise consulting
Timeline
12 weeks
About project:
A multinational enterprise sought to modernize its operations through AI but lacked a clear roadmap for implementation. Multiple departments were experimenting with automation tools independently, resulting in fragmented systems, duplicated efforts, and inconsistent data governance.
Executive leadership needed a structured, organization-wide AI strategy that aligned with long-term business objectives. They required guidance on prioritization, risk mitigation, compliance considerations, and measurable ROI before committing to full-scale deployment.
Intellix delivered a comprehensive AI advisory and deployment program that translated strategic vision into executable systems. By combining executive workshops, technical assessments, and scalable architecture design, we created a unified AI framework that enabled controlled experimentation, cross-team alignment, and sustainable transformation across the enterprise.
What we did:
Strategic roadmap development
We began with an AI readiness assessment across departments, evaluating infrastructure maturity, data quality, workflow complexity, and operational gaps. Through executive strategy sessions, we identified high-impact automation opportunities and defined phased implementation milestones. Governance models and security protocols were established to ensure responsible AI adoption across all business units.
Deployment & organizational alignment
Following roadmap approval, our engineering team implemented pilot automation systems focused on operational efficiency and decision intelligence. Each solution was designed with modular architecture to allow iterative scaling.
The enterprise achieved measurable productivity gains while reducing redundant tooling across teams. Leadership gained clear visibility into performance metrics and ROI, enabling confident expansion of AI initiatives. The result was a cohesive, enterprise-wide transformation rather than isolated automation experiments.
Impact:
3.2X
Productivity increase
45%
Conversion rate increase
33%
Faster deployment
Case studies
Case studies
