What We Offer
Clear, outcome-driven services to move from exploration to reliable, scaled adoption of agents.
Advisory service
AI Policy Framework
A framework for developing AI policy, including ethical guidelines, compliance, and risk management. We advise what the organization must do to comply with AI policy.
Ideal for:
- Enterprises working with AI or planning to start
- Organizations that don't yet have an AI policy established
You get:
- Ensures compliance with regulations such as the EU AI Act, ISO 42001 (standard for AI development and implementation)
- Custom advisory with delivery of a checklist/points list with policies and management systems to implement
- Standalone service available
Standalone assessment
Blueprint AI (Analysis Phase)
A blueprint of the enterprise to determine AI readiness. We map processes, data fragmentation, and digital transformation where needed.
Ideal for:
- Enterprises wanting to integrate AI into existing processes to work more efficiently
- Organizations seeking to reduce errors and automate processes
- Companies wanting to preserve employee knowledge
You get:
- Report mapping processes (scope agreed with client in advance)
- Matrix overview showing which tasks have highest impact for automation
- Feasibility overview and implementation impact assessment
- Architecture analysis
From PoC to rollout
(Agentic) AI Implementation
Practical implementation of AI solutions. Always starts with Proof-of-Concept, through to full rollout. Blueprint AI is always included. Based on this, a PoC proposal is made.
Ideal for:
- All organizations, from startups to large enterprises
- Teams wanting to demonstrate value before scaling
You get:
- Start with rapid, affordable PoC setup to demonstrate value
- Then transition to production-ready implementation and rollout
Proven Results
Real-world implementations demonstrating measurable business impact
Manufacturing: AI-Driven Production Planning
Business Challenge
Production planning managed in complex Excel spreadsheets, leading to planning errors, inefficient resource allocation, and difficulty scaling operations.
Solution Approach
Deployed AI Agents to automate production planning, analyzing demand patterns, resource availability, and constraints to generate optimal schedules.
Measurable Outcomes
- Significant reduction in planning error margins
- FTE resources redirected to strategic initiatives
- Real-time plan optimization based on changing conditions
- Improved production throughput and resource utilization
Technology Stack: Multi-agent orchestration, Optimization algorithms, ERP integration
Logistics: Intelligent Order Management
Business Challenge
Email-based order intake resulted in incomplete or incorrect orders, requiring manual validation and causing delays in processing and customer dissatisfaction.
Solution Approach
AI Agents validate incoming orders, identify missing or incorrect information, communicate with customers for clarification, and provide inventory recommendations.
Measurable Outcomes
- Automated order validation and error detection
- Proactive customer communication for order corrections
- Intelligent inventory advisory based on order patterns
- Reduced processing time and improved customer satisfaction
Technology Stack: Natural Language Processing, Email integration, CRM automation, Inventory analytics
Knowledge Preservation: Tackling Workforce Aging
Business Challenge
Aging workforce creating risk of critical knowledge loss, difficulty onboarding new employees, and dependency on senior staff for complex decisions.
Solution Approach
Captured expert knowledge and decision-making processes in AI Agents, creating an accessible, queryable knowledge system for the organization.
Measurable Outcomes
- Institutional knowledge preserved and accessible
- Reduced onboarding time for new employees
- Consistent decision-making across experience levels
- Continuity protection against workforce transitions
Technology Stack: Knowledge extraction, Conversational AI, Decision support systems
Industry Solutions
Tailored AI strategies for your sector
Fintech & Banking
Compliance-first AI for fraud detection, risk assessment, and customer service automation.
Key Use Cases: Fraud Detection, Risk Assessment, Customer Service, Regulatory Compliance
Healthcare
HIPAA-compliant AI solutions for patient care, diagnostics, and operational efficiency.
Key Use Cases: Patient Care, Diagnostics, Operational Efficiency, Data Analysis
Public Sector
Secure AI implementations for citizen services, policy analysis, and government operations.
Key Use Cases: Citizen Services, Policy Analysis, Operations, Data Management
Manufacturing
Industrial AI for predictive maintenance, quality control, and supply chain optimization.
Key Use Cases: Predictive Maintenance, Quality Control, Supply Chain, Process Optimization
Professional Services
AI-powered solutions for client management, document processing, and service delivery.
Key Use Cases: Client Management, Document Processing, Service Delivery, Analytics
E-commerce
Customer-focused AI for personalization, inventory management, and sales optimization.
Key Use Cases: Personalization, Inventory Management, Sales Optimization, Customer Support
Verification & Trust
Ensuring AI agents are reliable, compliant, and trustworthy
Learn more: Agent Passport & TAP Protocol
99.7%
Reliability Rate
Verified accuracy across production deployments
100%
Compliance Rate
EU AI Act and ISO 42001 alignment
24/7
Monitoring
Continuous oversight and alerting
Attestation Protocols
Cryptographic verification of AI agent behavior and decision-making processes.
Audit Trails
Complete logging and traceability for compliance and debugging purposes.
Risk Controls
Built-in safeguards and fallback mechanisms for high-stakes decisions.
Agent Passport & Trust Assurance Protocol (TAP)
Revolutionary digital identity framework for AI agents - Building trust in the AI ecosystem.
The Challenge
Identity Confusion: Disconnected systems lead to identity confusion for users and AI Agents, creating security risks and operational inefficiencies.
Solution - Agent Passport: A verifiable digital identity framework that establishes trust, security, and clear accountability for every AI agent in your ecosystem.
Compliance Difficulties: Manual compliance processes result in challenges, risks, and inability to scale AI governance across the organization.
Solution - TAP Protocol: Enterprise-wide AI governance that orchestrates trust for all agents, from single use case to full organizational deployment.
Agent Passport Benefits
- Digital Identity Framework - Verifiable identities for all AI agents
- Compliance & Governance - Built-in regulatory compliance
- Trust & Transparency - Complete audit trails and accountability
- Operational Benefits - Streamlined agent management
- Audit & Accountability - Comprehensive logging and traceability
TAP Protocol Components
- Identity: Verifiable identities enhance security and trust
- Policy: Enforced rules ensure compliance and governance
- Data: Secure data management guarantees integrity and accuracy
- Audit: Continuous tracking ensures accountability and transparency
- Risk: Proactive alerts identify and mitigate potential threats
- Integration: Seamless collaboration enhances overall trust ecosystem
Read more about Agent Passport & TAP Protocol →
Core Team Members
A proven alliance of AI architects and transformation strategists with deep cross-vertical experience and verifiable frameworks.
Dennis Hagers - CEO
A seasoned strategy and AI transformation leader with deep experience in enterprise transformation.
Core Expertise: Enterprise Strategy, AI Governance, Digital Transformation
Jeroen Peeters
Digital transformation and Program management for large global enterprises. Led transformation initiatives for Fortune companies across fintech and healthcare.
Core Expertise: Transformation Strategy, Operational Excellence, Digital Transformation
Khushal Bhalsod
Solution Architect and full stack developer with deep experience in start-up and enterprise solutions.
Core Expertise: Technical Architecture, Full stack development, Machine learning and AI
Patrick Leenen
Serial entrepreneur with deep experience in start-ups and enterprise strategy and relationships.
Core Expertise: Start up ideation, Government relations, Business Coaching
Why Agentic Alliance Exists
The enterprise AI landscape is fragmented, risky, and confusing. Organizations need trusted partners who combine deep technical expertise with proven business transformation methodologies. We bridge the gap between AI possibility and enterprise reality.
Cross-Vertical Experience
From SaaS to Web3, fintech to public sector - we understand the unique challenges and opportunities across every major industry vertical.
Verifiable Frameworks
Backed by leading verification protocols, ensuring your AI agents are not just intelligent, but trustworthy and compliant.
Implementation Journey
A structured pathway from analysis to production. Duration depends on scope and organization size.
Phase 1: Analysis & Assessment (1-3 weeks)
Blueprint AI assessment mapping processes, identifying high-impact opportunities, and establishing AI readiness baseline.
Deliverables:
- Process mapping report
- Opportunity matrix
- Feasibility assessment
- ROI projections
Phase 2: Proof of Concept (2-4 weeks)
Sandbox environment achieving three goals: (1) Prove we can automate identified pain points, (2) Help employees familiarize and practice with AI Agents, (3) Go/No-Go decision point if value is not sufficiently proven.
Deliverables:
- Working prototype
- User training & adoption
- Performance metrics
- Go/No-Go evaluation
Phase 3: Production Implementation (1-3 months)
Full-scale deployment with enterprise controls, integrations, monitoring, and change management.
Deliverables:
- Production system
- Integration complete
- Training delivered
- Documentation & handover
Phase 4: Optimization & Scale (Ongoing)
Continuous improvement, tackling additional processes, expanding to new use cases, and scaling across the organization.
Deliverables:
- Performance optimization
- New processes
- Expanded deployment
- Ongoing support
Frequently Asked Questions
What is the typical project timeline?
Timeline varies based on scope and complexity. Analysis & Assessment (Blueprint AI) takes 1-3 weeks. Proof-of-Concept development in sandbox environment 2-4 weeks. Full production implementation 1-3 months, depending on scope and organization size. Additionally, we offer ongoing optimization and expansion to new processes.
What level of investment is required?
Investment depends on project scope and organizational complexity. Blueprint AI assessments start as standalone engagements with fixed pricing. PoC projects are sized based on identified use cases. Full implementations are scoped after Blueprint completion. We structure engagements to demonstrate value at each phase before scaling investment. Contact us for a detailed discussion of your specific requirements.
How does AI implementation impact our employees?
Our approach focuses on augmentation, not replacement. AI Agents handle repetitive, high-volume tasks, freeing employees for higher-value strategic work. We include comprehensive change management and training in every implementation. Employees gain new skills in AI collaboration and oversight. Organizations typically see increased job satisfaction as teams focus on more meaningful work. We work closely with leadership to manage organizational change effectively.
How do you ensure compliance with regulations like the EU AI Act?
Compliance is built into our methodology from day one. Our AI Policy Framework service ensures alignment with EU AI Act, ISO 42001, and industry-specific regulations. All implementations include audit trails, explainability features, and risk controls. We provide documentation and governance frameworks required for regulatory compliance.
Do my employees need AI knowledge?
No, prior AI knowledge is not required. Through training sessions and workshops, we help employees learn how to work with AI Agents and what to expect. During the PoC phase, employees already get acquainted with the system in a safe sandbox environment, allowing them to become comfortable working with AI Agents before production deployment.
What happens after implementation?
We provide ongoing support options including monitoring, maintenance, and optimization services. All implementations include knowledge transfer and training so your team can manage day-to-day operations. We offer flexible support agreements based on your needs, from on-call support to managed services.