1. Start with the coordination problem
Map every organisation or department that writes, validates, reconciles or relies on the same record. High reconciliation cost, duplicated records, disputed state and slow multi-party workflows can indicate a credible DLT opportunity.
2. Test whether shared write authority matters
Blockchain is strongest when multiple parties need to contribute to state but should not simply give one participant unilateral control. If a single trusted database owner is acceptable, a conventional platform may be more efficient.
3. Define evidence and immutability requirements
Clarify what must be provable later, by whom and at what granularity. Not every field belongs on-chain; hashes, credentials and signed events may provide the right evidence with less data exposure.
4. Model governance before protocol selection
Who can join, write, validate, upgrade, pause, resolve disputes and pay operating costs? These are operating-model questions with technical consequences.
5. Quantify the value pool
Measure avoided reconciliation, faster settlement, reduced fraud, lower verification cost, improved liquidity, new revenue or regulatory evidence. A pilot should test both technical feasibility and value assumptions.
6. Choose the architecture last
Public, private and hybrid approaches have different trust, performance, privacy and governance properties. Select the stack only after the decision criteria are clear.
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