appliedAI

Helps established AI adopters benchmark progress, refine strategy, and advance responsible AI transformation through expert guidance and peer collaboration.

Helps organizations set AI priorities and establish the strategy, roadmap, governance, and technical operating model to scale AI securely.

Provides a quick view of an organization’s AI maturity, strengths, and gaps, helping identify possible next steps toward an AI strategy.

Turns AI ideas into secure, production-ready applications integrated into core processes, with measurable impact on speed, cost, and quality.

Moves AI agent concepts into governed human-agent collaboration that automates business processes and supports scalable operations.

Helps mid-sized companies identify valuable AI opportunities, deploy applications, and build capabilities to sustain their AI transformation.

Builds practical, role-specific AI skills so teams can apply AI confidently and responsibly, including in line with EU AI Act requirements.

Helps organizations manage AI use cases, prioritize valuable applications, identify synergies, assess risks, and track deployment progress.

Companion Partnership Program

An ongoing program for companies seeking to embed and scale AI beyond initial pilots. Members gain access to appliedAI’s ecosystem, experts, peer companies, and shared knowledge. The program includes an AI maturity assessment and ecosystem benchmarking, a 12-month transformation and enablement roadmap, recurring strategic reviews, peer working groups, a knowledge base, exclusive reports, and tailored workshops. Members also collaborate on trustworthy AI practices, governance, and risk classification, including in the context of the EU AI Act.

Category: AI Consulting

• Access The AI Ecosystem
  Connect with experts, technology leaders, and companies shaping AI practice. Ecosystem knowledge and peer perspectives can inform strategic decisions.
• Benchmark Maturity And Build A Roadmap
  Understand current AI maturity relative to leading ecosystem companies and use the assessment to shape a 12-month transformation and enablement roadmap.
• Challenge And Refine AI Strategy
  Use expert reviews to examine progress, test architectural decisions, and adjust strategic activities as AI technologies evolve.
• Develop AI Practices Together
  Exchange knowledge, validate approaches, and develop best practices alongside other market leaders.
• Exchange Insights With AI Peers
  Discuss practical AI challenges with experienced peers in exclusive working groups designed for confidential, focused exchange.
• Develop Responsible AI Practices
  Collaborate on governance approaches and risk classifications to support trustworthy AI and navigate the EU AI Act.
• Use Curated AI Knowledge
  Draw on the knowledge base, reports, and tailored workshops to apply insights from projects and conferences to strategic decisions.
• Join Partner AI Events
  Take part in partner-only events that bring members together to explore current AI topics and exchange practical perspectives.

AI Strategy & Operating Model Consulting

Consulting that helps organizations define an AI target state and turn it into an actionable transformation plan and scalable operating model. The service assesses maturity across strategy, data, technology, and organization; benchmarks capabilities; and evaluates use cases for business impact and technical feasibility. It establishes governance, roles, processes, budget logic, and technical standards, and supports technology architecture, MLOps, and buy-versus-build decisions. EU AI Act requirements and trustworthy AI principles are incorporated into the operating model, alongside controls and processes for agentic AI. Recommendations are informed by engineering expertise and methods such as the AI Maturity Assessment and Operating Model Canvas.

Category: AI Consulting

• Operationalize EU AI Act Requirements
  Embed compliance activities into AI processes and establish practical controls that support trustworthy, scalable deployment.
• Prioritize High-Impact AI Use Cases
  Focus engineering resources on use cases with a compelling combination of business value and technical feasibility.
• Turn AI Ambition Into Action
  Give business and engineering teams a practical plan for what to start, when to act, and how initiatives contribute to AI transformation.
• Build A Scalable AI Operating Model
  Create clear responsibilities, decision rights, processes, and standards to support coordinated AI delivery and scaling.
• Set Practical AI Technology Standards
  Align platform and architecture decisions with operational needs, technical feasibility, and the organization’s approach to building or buying AI capabilities.
• Clarify Your AI Starting Point
  Understand current AI capabilities, identify organizational gaps, and establish a grounded starting point for transformation planning.
• Define Your AI Direction
  Set a clear AI ambition and target state to guide strategic decisions and align transformation with business objectives.
• Prepare Your Organization For AI Agents
  Define organizational and control requirements for introducing AI agents into processes while maintaining appropriate human oversight.
• Reach Decisions With Proven Methods
  Use established frameworks to structure assessment and decision-making.
• Apply Insights From Leading Companies
  Apply experience and knowledge gathered through work with companies across the ecosystem.

Quick Check AI

A short, free self-assessment that gives organizations a compact overview of their AI maturity. The five-minute test covers 10 dimensions and sends participants a results report by email. It highlights strengths, gaps, and possible next steps as a starting point for an AI strategy and scalable operating model. Organizations can pursue a deeper company analysis with a more differentiated assessment and individual recommendations from strategy experts.

• Get A Five-Minute Readiness Snapshot
  Complete a free quick test in about five minutes to get a compact first overview of your organization’s AI maturity.
• Identify Strengths, Gaps, And Next Steps
  See where your organization is doing well, where improvement areas exist, and what next steps may help advance AI maturity.
• Review Ten AI Maturity Dimensions
  Use a structured assessment across 10 dimensions to gain an initial view of your organization’s AI maturity.
• Receive Your Results By Email
  Get the quick test results in an emailed report after completing the assessment.
• Explore A Deeper Expert Assessment
  Build on the initial overview with a more detailed company analysis and individual recommendations from strategy experts.

AI Development & Implementation

Engineering-first services that take AI use cases from idea to production-ready applications. appliedAI builds custom generative AI and agent solutions for specific business processes, covering technical scoping, architecture, prototyping, production engineering, integration, monitoring, and governance. Solutions are designed to work with existing IT landscapes and protect data and intellectual property, with security and EU AI Act alignment built in from the start. Teams receive the knowledge and technical setup to operate, maintain, and further develop their solutions.

Category: AI Development Services

• Build Tailored AI Applications
  Develop applications designed around specific business processes rather than relying only on standard tools.
• Integrate AI Into Existing Systems
  Add AI capabilities to existing infrastructure and processes while protecting existing investments and avoiding isolated solutions.
• Validate Feasibility And Architecture
  Clarify feasibility, data availability, and architectural choices before implementation.
• Build Production-Ready AI Software
  Apply disciplined engineering practices to prepare software for dependable use beyond the pilot stage.
• Operate And Monitor AI Systems
  Provide the technical operating framework and monitoring needed to maintain visibility and support ongoing AI system operations.
• Measure Quality And Control Outputs
  Evaluate AI quality over time and apply guardrails to manage unwanted outputs and make system behavior more observable.
• Protect Data And Intellectual Property
  Include data and intellectual property protection in architecture decisions, with hosting choices suited to customer requirements.
• Build Compliance In From Day One
  Address security and regulatory alignment during development rather than adding compliance as a final step.
• Prioritize Feasible AI Use Cases
  Focus implementation on use cases assessed for business value, technical feasibility, and alignment with company goals.
• Test Ideas With Working Prototypes
  Validate assumptions in real process settings and surface risks early through functional prototypes.
• Ground Answers In Verified Sources
  Help make generative AI responses traceable to verified information and support systematic measurement of factuality.
• Enable Teams To Operate Solutions
  Give customer teams the knowledge and technical handover needed to operate, maintain, and develop their AI solutions.

AI Agent Lighthouse Program

A 12-week program that takes companies from use-case scoping and prioritization to building an orchestrated multi-agent system and preparing it for broader rollout. The system connects to company data and business processes, establishing a live setup where people and agents work together. The program includes testing, team enablement, and a deployment plan, with safety mechanisms and evaluations built into an AgentOps infrastructure.

Category: AI Development Services

• Deploy Agents In Business Processes
  Implement an orchestrated multi-agent system and connect it to company data and processes.
• Put Human-Agent Teams Into Operation
  Use human-agent collaboration in a live process while people retain defined decision-making and exception-handling roles.
• Operate Agents With Built-In Controls
  Embed governance and operational safeguards to support reliable, compliant operation, including checks and approvals for consequential actions.
• Prioritize High-Impact Use Cases
  Focus investment on valuable agent applications and define a roadmap for implementation.
• Prepare Systems For Broader Rollout
  Support the transition from a working system to an organizational capability with testing, team enablement, and a deployment plan.
• Switch Models Without Rebuilding Systems
  Maintain flexibility to change the underlying AI model while retaining the system architecture and incorporating data sovereignty.
• Accelerate Processes Around The Clock
  Use agents to carry out work continuously and handle complex task chains, reducing manual handovers and downtime.
• Scale Operations Beyond Headcount
  Support business growth by assigning complex task chains to agents, allowing teams to focus on other work.

AI Accelerator for SMEs

A six-month AI transformation program for mid-sized companies, delivered end-to-end or in modules. It combines analysis of AI potential across business processes, an actionable strategy and roadmap, and implementation of prioritized applications in company systems. The program also supports infrastructure selection, organizational development, training, change management, and governance. Applications are assessed for technical feasibility, economic value, compliance, transparency, and risk. Companies can choose ready-to-deploy solutions from the appliedAI AI Catalog.

Category: AI Consulting

• Deploy Prioritized AI Applications
  Move selected applications into company systems and bring initial AI solutions into productive use.
• Prioritize High-Value AI Use Cases
  Focus investment on use cases selected for potential impact, technical feasibility, and economic value.
• Turn AI Priorities Into An Actionable Roadmap
  Clarify what to do, where to start, and which steps support sustainable AI adoption.
• Deploy Proven AI Solutions
  Choose from tested applications that are ready for productive deployment in company systems.
• Establish AI Roles And Governance
  Build an AI organization suited to the company and clarify responsibilities and processes for AI use.
• Equip Teams For AI Adoption
  Support employees through training and change activities as AI applications and organizational practices are introduced.
• Assess AI Use Cases For Compliance
  Review use cases for compliance, transparency, and risk to support confident deployment.
• Select A Suitable AI Platform
  Understand infrastructure options and choose a platform suited to the company’s AI plans.
• Personalize Customer Outreach
  Use customer behavior to tailor marketing messages, sales outreach, and segment-specific content.
• Accelerate Tender Analysis And Proposals
  Extract requirements from tender documents and identify matching products, services, and pricing components.
• Pre-Qualify Potential Customers
  Identify and assess potential customers and segments to support sales targeting.
• Search Internal Knowledge In Natural Language
  Help teams find information in internal documents and databases using natural-language search.
• Generate Formatted Invoices
  Create invoices from sales data and predefined templates.

AI Enablement

A role-based portfolio of training and learning programs that builds AI capability across an organization, from foundational literacy to leadership, governance, EU AI Act compliance, and technical development. It includes compact AI competency training, courses on AI and generative AI, executive strategy programs, compliance training for AI and technical teams, and developer training. Courses combine practitioner-led instruction with content tailored to roles and, for engineering teams, their technology environments. Delivery ranges from short online courses and intensive workshops to scalable learning platforms. Programs can include certificates, measurable competency goals, adaptable course content, and learning paths that support applying skills in day-to-day work.

• Equip Every Role With Relevant Skills
  Give employees learning suited to their responsibilities so teams can identify, govern, and implement AI use cases.
• Build AI Skills With Compliance In Mind
  Prepare employees to understand AI risks and requirements and apply AI safely and responsibly in line with EU AI Act obligations.
• Guide AI Strategy And Priorities
  Help leaders connect AI initiatives to business goals, prioritize use cases, and understand the organizational structures needed to guide AI transformation.
• Apply Learning To Real Work
  Connect AI concepts to practical tasks through instruction from practitioners and exercises based on project experience.
• Understand AI And Identify Uses
  Build understanding of AI concepts and workplace applications so participants can recognize where AI may be relevant in their work.
• Apply Generative AI And Prompting
  Build understanding of generative AI and LLMs, practice targeted prompting, and use tools more effectively for workplace tasks.
• Apply AI Compliance And Risk Practices
  Help participants identify AI risks, understand regulatory obligations, and apply governance and compliance practices in organizational or technical roles.
• Build And Deploy AI Systems
  Develop practical skills for creating, evaluating, operating, and integrating AI models into real systems.
• Practice With Your Technology Stack
  Align technical examples and exercises with the organization’s architecture, tools, guidelines, and deployment processes.
• Train Teams At Different Scales
  Choose formats suited to focused groups or larger workforces, from online learning to intensive workshops and scalable platforms.
• Keep Teams Current On AI
  Help teams learn about evolving AI technologies through curricula that are updated as the field changes.
• Track Skills In Day-To-Day Work
  Set competency goals before training and assess whether participants apply resulting skills in project work.
• Embed AI Learning Into Workflows
  Support lasting application of AI skills through learning paths, role profiles, feedback loops, and workflow integration.
• Choose A Course Format That Fits
  Select from courses with different durations and formats, including online options with flexible starts and specified customization.
• Document Completed Qualifications
  Provide certificates confirming qualifications and helping organizations document learning progress.

AI Use Case Management Tool

The AI Use Case Management Tool helps organizations systematically record and manage AI use cases and assess associated risks. It enables companies to focus on lucrative applications, identify synergies, and track and review progress in AI deployment.

• Manage AI Use Cases Systematically
  Organize and manage AI use cases systematically to support a structured approach to AI deployment.
• Prioritize Lucrative AI Use Cases
  Focus attention on AI applications identified as most lucrative.
• Assess AI Use Case Risks
  Record and assess risks for AI use cases as part of systematic use-case management.
• Track AI Deployment Progress
  Follow and review AI deployment progress to understand how the organization's use of AI is advancing.
• Identify AI Use Case Synergies
  Reveal synergies across AI use cases and recognize connections within the AI portfolio.