Disclosure: The opinions here are my own and do not reflect the views of crypto.news’ editorial.
Banks have spent decades building control into every layer: standardized processes, heavy governance, risk teams that scrutinize every change, and large systems engineered for stability. That discipline is a major strength — it preserves trust, protects capital, and meets regulatory expectations. But it can also stifle experimentation. When every deviation is treated as dangerous, the space to try, fail, and learn narrows until innovation withers.
The paradox of control
Large financial institutions can innovate, but only when they carve out intentional spaces where exceptions are allowed. The bank’s imperatives — trust, capital adequacy, reputation, compliance — push decisions toward conservatism. Over time this hardens into a near-phobic avoidance of risk: a small operational error prompts board-level retrenchment and the instinct becomes “don’t try anything that could fail.” That reflex kills more new ideas than any competitor ever will.
What I call controlled chaos is not an invitation to recklessness. It’s a disciplined middle ground: deliberately designed tension that sits between rigid standardisation and unfettered disruption. Complexity science calls it the “edge of chaos,” where adaptive systems are most inventive. In a bank, this looks like small, autonomous teams that run like startups — rapid iterations, minimum viable products, and tight user feedback — while operating inside clear governance corridors.
How controlled chaos works in practice
– Small, empowered teams: Give squads authority to experiment quickly on product concepts and delivery models, with accountability for escalation and compliance.
– Explicit boundaries: Define what’s off-limits (core ledger changes, client data exposure, certain reputational thresholds) and what can be probed.
– Friction as signal: Treat operational friction and near-misses as learning inputs rather than evidence to stop trying. Friction reveals system limits and opportunity areas.
– Adaptive metrics and funding: Evaluate experiments on product-market hypotheses and learning velocity, not just short-term P&L. Allocate a dedicated exploration budget separate from core operating capital.
Internal ventures as probes
Banks don’t need to wait for outside challengers. Internal venture units or skunk-works let institutions tap startup logic while leveraging their advantages: brand, balance sheet, compliance expertise, and distribution. These units can pilot tokenisation, AI-driven services, embedded finance, and new asset classes, allowing the bank to shape outcomes rather than be reshaped by external forces.
Designing for experimentation
You cannot simply “unleash chaos” and hope for good results. Deliberate design is required: choose the right people, set governance and reporting lines, define success metrics, and give a clear mandate to learn. Critical elements include:
– Psychological safety: Teams must know early failures are part of the learning process.
– Clear but permissive boundaries: Spell out what can be tested and what is prohibited.
– Robust feedback loops: Run small pilots, measure different success signals, and iterate rapidly.
– Compliance and security scaffolding: Build explicit compliance pathways and security fences so experiments can scale safely.
Lessons from practice
I’ve observed both outcomes. In one firm, a minor product glitch prompted immediate shutdown of all experimentation — momentum died and talent moved on. In another, small teams were allowed to build, fail, and report openly; those teams produced meaningful pilots around tokenisation and AI services that honored regulatory constraints while expanding the bank’s view of what was possible.
Why the usual disruption story is incomplete
The common narrative that lean fintechs will simply displace banks oversimplifies the landscape. Banks remain central to the economy, have scale advantages, and possess resources fintechs often lack when growing. The smarter scenario is reinvention from within: institutions that pair control with intentional exploration will capture future value, not those that cling to a single operating model or outsource innovation entirely.
Who will stay relevant
As tokenisation, web3 primitives, AI, and embedded finance accelerate, banks that insist on rigid control risk falling behind. Those that adopt a dual operating model — disciplined core operations plus purpose-built experimental units — will lead. They’ll partner with developer communities, gaming ecosystems, and tokenised-asset platforms to launch client-first, technology-enabled, institutionally credible products.
A final note on intent
This is not a call for chaos without rules. It’s a case for designing productive tension: autonomy within alignment, exploration within responsibility. When done deliberately, controlled chaos lets banks preserve what makes them indispensable while discovering new ways to serve clients and capture future value.
Ala Aljayyusi
Ala Aljayyusi is Managing Director at CBIx, leading strategy, operations, and venture-building that connects traditional finance with emerging technologies. He previously served as Senior Vice President at Commercial Bank International and held senior roles at Deutsche Bank, Barclays, DIFC, Dubai Properties, Mawarid Finance, and Tamweel. With two decades of industry experience, he focuses on responsible, measurable innovation that aligns regulatory understanding with product and market insight.