EAAF Framework Overview
Operational Maturity
Assess maturity
and transformation capability
Audit
Discover and map
your enterprise landscape
Model
Define processes and architecture
Automate
Implement intelligent automation
Enable
Empower teams with Al capabilities
Measure
Track ROl and optimize continuously
AI Solutions — from Fast Agents to Enterprise-Grade Orchestration
Three levels of AI solutions for different tasks, budgets, and control requirements
1. Custom AI Agents Platform
LangGraph + Prefect + LangSmith +
Operaton (Audit & Orchestration)
Enterprise-grade. Controlled AI agents, not a “black box.” We build custom AI platforms for critical processes where auditability, decision reproducibility, and controlled logic are essential.
Tech stack:
FSM/DAG agent logic
retries, SLA, performance management
Reasoning and prompt tracing
End-to-end auditing and process history
What’s included:
- Multi-step AI agents with input validation
- Connecting MCPs/external systems and instruments
- Full audit: inputs → decisions → outputs
- RBAC, versioning, explainability
- Human-in-the-Loop and rollback solutions
Example:
FM AI Platform – AI agents for decision-making with full execution history and audit trail.
When to choose:
finance, compliance, risk analysis, internal
AI platforms.
2. n8n AI Agent
Fast AI for RAG & Simple Decision Making
A fast and lightweight AI solution without complex infrastructure. AI agents based on n8n for simple tasks: RAG, request processing, and user assistance.
What decides:
- Answering Questions Based on the Knowledge Base (RAG)
- Simple decision-making logic
- Generation of answers, recommendations, classification
Examples
- Help with choosing a product (similar to “help with ordering a pizza”)
- AI assistant for a website or internal portal
- Fast processing of applications and requests
Pros:
- Launch in days, not months
- Minimum cost
- Great for PoC and MVP
When to choose:
Simple AI cases, quick results, limited budget.
3. AI Automation & Orchestration
n8n / BPMN (Operaton)
Business process automation
with AI, auditing, and managed orchestration.
n8n – Fast AI automation
For simple and repetitive processes
- Sales outreach and lead generation
- Processing incoming requests
- CRM/ERP/Email/Messengers integrations
- AI within the workflow (analysis, generation, routing)
Focus: speed and simplicity.
BPMN / Operaton – complex processes
For long-term, critical
and multi-system scenarios
- Multi-step processes with expectations and events
- Strict audit and execution history
- Clear orchestration
of AI and non-AI steps - Integration with ERP, Data platforms, external APIs
Focus: Control, scale and transparency.
When to choose:
Simple AI cases, quick results, limited budget.
Why It Matters
Transparency & Control
Full visibility into your transformation journey with clear metrics
and governance
Governance by Design
Built-in compliance, security, and risk management at every stage
Measurable ROI
Track value creation in realtime with data-driven insights and continuous optimization
Speed without Disruption
Accelerate transformation while maintaining stability and operational excellence
Insights Spotlight
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From Audit to Value — Why Fact-Based Process Mapping Is Non-Negotiable
Transformation Starting Mistake When companies get close to AI transformation, it rarely happens because they simply want it. More often, it comes from pressure. The market is moving faster, competitors already use AI, customers expect speed and personalization, and operational costs keep growing. According to McKinsey & Company, more than…
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Why AI Transformations Fail Before Automation Even Starts
When AI initiatives fail, the common explanation is technical complexity: models are inaccurate, data quality is poor, integration is difficult. In reality, most AI transformations fail long before automation or AI is even applied. They fail at a much earlier stage — when organizations assume they are ready for AI,…
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How Enterprises Fail at AI Governance (and How to Fix It)
As artificial intelligence moves from experimentation into core operations, a new risk is emerging inside enterprises — the illusion of control. Many organizations believe they are governing AI because they: have internal AI policies, require model approvals, publish ethical guidelines, restrict access to certain tools. Yet when asked simple executive…
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From Automation Islands to Orchestrated Value Chains
Over the last decade, enterprises have invested heavily in automation. RPA bots execute repetitive tasks, iPaaS platforms connect systems, AI assistants support employees, and workflow tools promise efficiency gains. On paper, automation maturity looks high. In reality, many organizations face a paradox: the more automation they deploy, the harder their…
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AI as Infrastructure: Turning Projects into Processes
Over the past few years, artificial intelligence has rapidly moved from research labs into boardroom agendas. Enterprises launch AI pilots, run proof-of-concepts, deploy chatbots, and experiment with predictive models. Yet despite this activity, most organizations struggle to translate AI investments into sustained business value. The core issue is not model…
Build on proven enterprise-grade technologies
Ready to make transformation measurable?
Start your journey with a pilot audit and discover how EAAF can transform your enterprise
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