AdoptAI™ — Building Intelligent Ecosystems for the GenAI Era
- Michel van den Berg
- Nov 9
- 5 min read
Since founding Appsolute Value in 2013, I’ve learned that the hardest part of transformation isn’t the technology — it’s aligning people, purpose, and process.
Why AdoptAI now
This new wave isn’t about building another app. It’s about building agents — intelligent systems that think, learn, and act alongside humans.
From Apps to Agents — The Third Wave of Digital Transformation
Across three technology waves — Web, Mobile, and now GenAI — I’ve helped organizations redefine how they connect with customers and create business value.
The tools changed. The fundamentals didn’t.
The Three pillars
At the heart of every successful transformation lie three pillars that have guided us since the beginning:
Strategy – Define the why behind your AI ambitions.
Integration – Build the how with secure, connected workflows.
Change – Empower the who — your people.
Because transformation, after decades of projects across the world, has taught me one universal truth:
It’s 10% technology, 20% processes and 70% culture
What Makes This GenAI Wave Different
The GenAI era is not about automation for efficiency’s sake — it’s about agentic transformation. We are entering a time when systems can interpret, decide, and collaborate with us.
Yet, as I speak with leaders, consultants, and recruiters across my global network, only a handful of organizations are truly AI-ready.
The barrier isn’t access to technology. It’s the ecosystem — the readiness, the integration, and above all, the culture.
That’s why we created the AdoptAI™ Model.
The AdoptAI™ Model — Where AI Meets Human Intelligence.
We use four core tools within the AdoptAI™ model. Each of these tools builds on the last — from discovering business value to scaling change across the enterprise.
The four tools
AdoptAI™ helps organizations move from curiosity to capability by creating intelligent ecosystems that blend Artificial Intelligence (AI) and Human Intelligence (HI).It’s not theory — it’s a model we’ve refined through real client work in our traditional industries like Banking, Insurance, retail and in new industries like Occupational Health (arbodiensten), around Absence Management.
1. AI Opportunity Scan (2–5 days)
Identify and prioritize your AI use cases through our Pain–Solution–Value mapping and executive readout.
Case snapshot
Fintech (EU): “In 3 weeks we shortlisted 18 use cases to a top-3 portfolio expected to save 12–15% back-office effort; the onboarding assistant now resolves 28% of queries without handoff.”
2. Journey Sprint (1–3 weeks)
Co-create and prototype one or two high-value journeys — such as customer onboarding, claims intake, or checkout experience — and define a measurable impact hypothesis. In partnership with our Interactive UX partner, we built conversational “buddies” that go beyond chatbots — intelligent digital assistants that understand context, history, emotion, and intent.
Case snapshot
Retail (NA/EU): “A conversational returns & exchanges assistant cut average handle time by 31% and improved CSAT by 12 points in 8 weeks of A/B.”
3. Integration Readiness Assessment
Before scaling, we assess infrastructure, APIs, data, and security readiness, and create a gap-closure plan. This ensures that your organization can connect GenAI capabilities securely across systems, channels, and teams.
4. AdoptAI™ Change Acceleration
This phase focuses on people and performance — building internal champions, change playbooks, and success metrics to scale AI adoption sustainably. Because no transformation succeeds on technology alone.
Lessons Learned from Three Tech Waves
Across web, mobile, and now GenAI, one constant remains: every automation redefines human work.
AI won’t preserve existing jobs — it will reshape them.That’s why our work focuses on helping people discover their new human advantage: creativity, judgment, empathy, and design thinking — skills that thrive when technology takes over the routine.
In the agentic enterprise, humans and machines collaborate — each amplifying the other’s strengths.
Ten Best Practices for AI-Driven Transformation
Here are ten field-tested practices that help organizations become AI-ready — and stay human-centered while doing it:
Lead with Inspiration — Tell the story behind the change; make adoption aspirational.
Structure for Enablement — Appoint cross-functional champions, share wins, celebrate innovators.
Avoid AI Silos — Build an enterprise-wide AI portfolio with a clear roadmap.
AI for All — Democratize experimentation; make GenAI accessible to every team.
Empower Cross-Functional Councils — Run hackathons and co-creation labs to spark adoption.
Start with Use-Case Discovery — Map data, pain points, and opportunities for rapid prototyping.
Build AI Savviness — Train teams on co-pilots, prompts, and workflow automation.
Define Value Metrics — Align AI success with core business KPIs.
Build Trust — Communicate clearly; make AI transparent, explainable, and ethical.
Reverse the Hype Cycle — Focus on sustainable value, not fear or FOMO.
Beyond Tools — Building a Culture of Transformation
What success looks like
At Appsolute Value, we’ve seen that AI adoption fails when it stays in IT.True transformation happens when business and technology teams co-create.
That’s why our programs bring data scientists, process owners, and business leaders together — literally sitting side by side.Daily stand-ups, bi-weekly demos, and open knowledge-sharing are the foundation of every successful GenAI implementation.
Because Agile ways of working weren’t built just for software — they were built for transformation.
Partner Ecosystem
We partner with organizations who share our co-creation DNA:
Affinsys – Conversational AI & multi-channel agentic platforms
Forward Partners – AI Innovation Studios and enterprise workshops
Interactive Design Studio by Oscar – UX + AI design for next-generation digital assistants
Together, we help organizations discover new use cases, prototype intelligent journeys, and scale human-AI collaboration across industries — from banking to retail and beyond
We co-create to move toward an Intelligent Agency — building systems that act, decide, and collaborate with humans.
Ready to Begin Your GenAI Journey?
Start here!
Whether you’re a financial institution looking to embed AI across the customer lifecycle, or a retailer aiming to create intelligent customer experiences, the AdoptAI™ model helps you move from isolated pilots to scalable, human-centered transformation.
Start your AI transformation journey with us. Start with the AI opportunity scan. The time is now and let’s transform your organization in an AI-first business.
Contact us to explore how Appsolute Value can help your organization adopt, trust, and scale AI.
Frequently Asked Questions (FAQ)
What is GenAI enablement?
GenAI enablement is the process of preparing an organization to adopt and scale Generative AI responsibly and effectively. It involves building the right ecosystem — strategy, infrastructure, data, governance, and culture — to turn AI pilots into business-wide capabilities that augment human intelligence.
What are agentic workflows?
Agentic workflows are intelligent, autonomous processes that combine AI and human decision-making. Unlike traditional automation, which follows fixed rules, agentic workflows use reasoning, context awareness, and adaptive learning to act dynamically — improving customer experiences, speeding up operations, and creating new business value.
How do I measure AI adoption ROI?
AI adoption ROI is measured by connecting AI outcomes to strategic business metrics. This includes efficiency gains (e.g. reduced handling time), experience improvements (e.g. higher NPS or CSAT), and growth outcomes (e.g. conversion or revenue uplift). At Appsolute Value, we use impact hypotheses during our Journey Sprints to define and track these measurable results.
What is an Integration Readiness Assessment?
An Integration Readiness Assessment evaluates your organization’s technical and operational readiness to implement AI. It examines your APIs, data quality, security, and system architecture to identify gaps that could block AI deployment. The result is a practical roadmap for safely and effectively integrating GenAI into your workflows and platforms.
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