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CORE SERVICE

AI Adoption

LBC.ai builds customized collaborative and responsible intelligence, by combining strategy, artificial intelligence (AI) engineering and tools, data, organizational transformation and change management to help clients move from AI experimentation to intelligent transformation efforts that deliver measurable and sustainable value at scale.

Why you need to build your own unique AI journey​

AI-driven transformation is different from digital transformation.

The AI challenge is cooperative, disruptive, adaptable​

AI augments and increasingly acts autonomously​

AI is moving from tools that assist people to systems that can learn, reason and act autonomously, personalized and adaptable to each context.

As we move from digitalization to intelligent augmentation, exponential performance becomes more achievable.

AI creates differentiated value​

With AI, value does not depend on access to the same technology and models, but how you use it. Different people, data, processes, business models, and levels of readiness will produce very different outcomes.

AI evolves continuously and very fast​

Capabilities, costs and applications change rapidly, requiring continuous adaptation rather than a one-off implementation.​

The limits are still unknown. Through the unavoidable disruption, some businesses will succeed, others will not.​

AI performance varies greatly​

The key to competitive success does not lie in the competence of leaders and organizations alone, nor in the technological tools, but in the right combination built between people and AI tools.

It entails several new risks too.​ Competitive advantage depends on how you combine people, data, processes and AI.​

LBC.ai – Integrated approach to AI​

Artificial intelligence, on its own, does not generate sustainable value, and carries several risks. LBC.ai applies an integrated approach – intelligent transformation – to achieve transformative and sustainable positive impact on a business, built on LBC proven capabilities.

LBC’s model of Intelligent Transformation​

LBC’s model of Intelligent Transformation​

LBC’s advantage lies in combining trusted AI consulting and engineering with proven capabilities that set us apart

Transformation integrating business, technology and people​

In-depth domain expertise across 13 sectors

AI & digital engineering and tools

Capability building and change management​

Proven ability to deliver complex projects​

Capabilities from strategy through execution​

In private & public sectors, in advanced and in developing economies​

Projects delivered
+ 5
Countries
0
Industry sectors
0
Client satisfation
0 /6
Digital transformation projects delivered*
+ 0

Digital strategy, AI strategy, web platforms, process automation, intelligent automation, intelligent data, AI implementations.

(*) Projects where digital transformation was dominant or exclusive

How do we help our clients​

Collaborative and responsible intelligence

The sustainable use of AI must be based on building a collaborative and responsible intelligence between humans and machines. LBC.ai provides the right combination of leadership, people, technology, AI engineering and tools, data, operating model and organization redesign, as well as change management to deliver measurable improvements in productivity, service quality, innovation and growth. At the same time, it helps manage infrastructure costs, workforce transition, regulatory requirements and capital allocation risk.

Services

  • AI Strategy & Transformation

    Strategy, maturity, opportunity portfolio, value cases, roadmap and AI operating model.​ To maximise value relative to cost, risk, implementation capacity and competitors. ​

  • Generative AI

    Enterprise GenAI solutions, knowledge systems, copilots, content and decision-support applications.​ To achieve both quick and sustainable ROI from GenAI.

  • Agentic AI & Intelligent Automation

    Agent strategy, process redesign, agent development, orchestration, integration and deployment.​ To improve productivity or promote end-to-end transformation. ​

  • Data & AI Engineering

    AI-ready data, architecture, engineering, semantic layers, model integration, MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations). To build the data foundations necessary for sustainable AI transformation. ​

  • Responsible AI & Governance

    Governance, transparency, regulatory readiness, model risk, cybersecurity, controls, policies and monitoring.​ To guide AI leadership, compliance and management.​

  • AI Organization, Workforce & Change

    Organization and operating-model redesign, roles, workforce transition, adoption and change management.​ To ensure the sustainability of any meaningful AI transformation.​

  • AI Training & Enablement

    AI competence evaluation, role-based capability building for leaders, business teams, technical teams and employees.​ To ensure reskilling focused on results and rapid adaptation to evolving AI solutions. ​

  • AI Strategy & Transformation

    Strategy, maturity, opportunity portfolio, value cases, roadmap and AI operating model.​ To maximise value relative to cost, risk, implementation capacity and competitors. ​

  • Generative AI

    Enterprise GenAI solutions, knowledge systems, copilots, content and decision-support applications.​ To achieve both quick and sustainable ROI from GenAI.

  • Agentic AI & Intelligent Automation

    Agent strategy, process redesign, agent development, orchestration, integration and deployment.​ To improve productivity or promote end-to-end transformation. ​

  • Data & AI Engineering

    AI-ready data, architecture, engineering, semantic layers, model integration, MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations). To build the data foundations necessary for sustainable AI transformation. ​

  • Responsible AI & Governance

    Governance, transparency, regulatory readiness, model risk, cybersecurity, controls, policies and monitoring.​ To guide AI leadership, compliance and management.​

  • AI Organization, Workforce & Change

    Organization and operating-model redesign, roles, workforce transition, adoption and change management.​ To ensure the sustainability of any meaningful AI transformation.​

  • AI Training & Enablement

    AI competence evaluation, role-based capability building for leaders, business teams, technical teams and employees.​ To ensure reskilling focused on results and rapid adaptation to evolving AI solutions. ​

Focused solutions

AI fundamentals

AI Leap

AI maturity, opportunities, roadmap tool

AI Compliance Platform

AI governance and regulatory readiness​

AI Agentic Platform

Build and orchestrate enterprise AI agents & AI assistants​

AI Spot Trainer

Platform to upskill your entire organization

AI Optimizers​

AI Cloud Optimizer

Framework for technical and price optimization

AI Agent Cybersecurity Risk

Evaluate, recommend, report on cybersecurity in AI agents​

AI UI/UI Optimizer

Evaluate, recommend and report on web sites’ UI/UX​

AI Applications​

AI Leadership Mentor

Support leadership development programs​

AI Procurement Tool

Procurement and tendering tool​

AI Leap

Not sure how to structure coherently your AI journey ?
Start with AI Leap.

Tool to help clients move from experiments to a performance-focused, scaled AI operating model, including readiness assessment, opportunity identification and strategic road map.

What we keep seeing​

  • Pilots that never scale​
  • Investment without a clear return​
  • Teams pulling in different directions​
  • The risk of falling behind, or of spending badly​

What it takes to move​

  • An honest view of where you stand today​
  • Priorities chosen on impact versus effort​
  • A roadmap the whole leadership owns​
  • A first use case that proves the value​

One month. One leap into AI sustainability.​

In four weeks, know where you stand, where AI can create
the most value and what you should implement first.

1. AI maturity assessment

Where you stand today.​

Expert-guided survey, data analysis, leadership interviews, workshops, resulting in structured maturity assessment​.

Duration: ~1.5 weeks​

2. AI opportunity identification

What is worth doing.​

Opportunity discovery and use-case design workshops; the first use case defined.​

Duration: ~1.5 weeks​

3. AI transformation roadmap

How to get there.

Strategy and implementation roadmap with budget, owners and timeline; first use case underway.

Duration: ~1 week

​Learn how you can apply AI
Leap in your organization​

Know more about AI Leap​

AI Competence Center

Human experts behind the AI solutions

LBC benefits from the seamless work of a combined staff of 110 professionals, including an AI Competence Center.

Strategy. AI. Digital. Transformation. One team.
  • Strategy & Business
    Consultants · Business Analysts · Sector Experts

  • AI & Data
    AI Architects · AI Engineers · Data Scientists

  • Digital Engineering
    UX/UI · Full Stack · Architecture · QA

  • Transformation
    Organization · Change · Training

Network of international partners and experts

LBC works with a selected and tested network of international partners and experts in various areas of expertise, namely in AI, applying the principles of “best in class” and “best fit”.

LBC is a collaborating firm of Andersen Consulting

Andersen Consulting integrates digital transformation and AI-driven solutions with Andersen Global’s world-class tax, legal, valuation, and global mobility expertise, together comprising more than 50,000 professionals worldwide in over 1,000 locations in 180 countries.

AI Tools and Technologies

LBC.ai uses proprietary AI tools and a wide range of AI technologies of hyper scalers such as Open AI, Microsoft, Anthropic, Google, as well as specialized AI technologies.

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