• SettleMintSettleMint
    • Introduction
    • Market pain points
    • Lifecycle platform approach
    • Platform capabilities
    • Use cases
    • Compliance & security
    • Glossary
    • Core component overview
    • Frontend layer
    • API layer
    • Blockchain layer
    • Data layer
    • Deployment layer
    • System architecture
    • Smart contracts
    • Application layer
    • Data & indexing
    • Integration & operations
    • Performance
    • Quality
    • Getting started
    • Asset issuance
    • Platform operations
    • Troubleshooting
    • Development environment
    • Code structure
    • Smart contracts
    • API integration
    • Data model
    • Deployment & ops
    • Testing and QA
    • Developer FAQ
Back to the application
  1. Documentation
  2. Executive overview

The challenges in today's digital asset landscape

Current tokenization projects face recurring obstacles—vendor fragmentation, compliance systems disconnected from token transfers, custody solutions that don't meet institutional standards, and settlement delays that negate blockchain's speed advantages. This page identifies these pain points so you can evaluate whether proposed platforms actually solve them.

Key terms

  • Integration point: Connection between separate systems requiring custom development and ongoing maintenance
  • Ex-ante control: Compliance checks that happen before a transaction executes, preventing violations
  • Ex-post control: Compliance checks that happen after execution, requiring reversal if violations are found

See the Glossary for complete definitions.

Vendor fragmentation creates integration burden

Walk into any tokenization project and you'll see the same pattern: five or more vendors stitched together with integration code, manual handoffs, and operational complexity.

Rendering chart...

One vendor handles token creation. Another manages investor onboarding and KYC checks. A third provides custody wallets. A fourth runs the marketplace or trading platform. A fifth handles settlement and bank connectivity. Perhaps there's a sixth for reporting and compliance dashboards.

Integration as ongoing liability

Each integration is a point of failure. When settlement breaks at 2 a.m., three vendors blame each other while your operations team frantically debugs which API changed without warning.

Procurement alone takes months as legal reviews five contracts, InfoSec evaluates five security questionnaires, and finance negotiates five SLAs.

Development velocity collapses because every new feature touches multiple systems. Want to add a new asset class? You're coordinating updates across the entire stack. Need to change a compliance rule? All five vendors must support it.

No single source of truth

There's no unified view of ownership, compliance status, or transaction history. Your team spends more time reconciling data between systems than actually servicing assets. When auditors ask for proof of compliance, you're compiling reports from five different platforms and hoping they align.

Off-chain compliance creates legal risk

Many projects run compliance logic off the blockchain in spreadsheets and middleware. The token itself doesn't know who should be allowed to hold it.

A typical flow: an investor buys tokens, the transfer executes on-chain instantly, and then—sometime later—a compliance officer checks whether that investor should have been eligible. If they weren't, now you're unwinding a transaction that's already settled, consumed gas, and potentially generated tax events.

False positives block legitimate investors

Legitimate investors get blocked because the off-chain system can't verify their status in real time. Support tickets pile up. Your compliance team manually overrides blocks while trying not to accidentally approve someone they shouldn't.

Permanent evidence of violations

Regulators see this architecture and immediately understand the problem: there's no ex-ante control. The ledger records transactions that violate rules, creating evidence of non-compliance that lives permanently on an immutable blockchain.

Different tokens on the same platform might have different compliance rules, but those rules live in external databases that can drift out of sync with actual token logic. You think a transfer restriction is enforced, but the middleware got updated and now there's a gap.

Custody solutions don't meet institutional standards

Most blockchain platforms default to single-key wallets. One private key controls the entire treasury. Whoever has that key can transfer all assets with no checks, no approvals, no audit trail beyond "the key signed this transaction."

Banks don't operate that way. Traditional custody involves segregation of duties, dual control, maker-checker workflows, transaction limits, and formal approval processes.

Key loss is permanent

Lose a blockchain private key and those assets are gone. Permanently. There's no customer service line to call, no fraud protection, no insurance payout unless you've purchased specialized crypto custody coverage with significant premiums.

Missing enterprise features

Even when platforms offer multi-signature wallets, the implementation often lacks enterprise capabilities. There's no policy engine defining who can approve what types of transactions. There's no time-based locks or velocity limits.

Recovery procedures are typically "hope you backed up your seed phrase and stored it securely." Enterprise custody requires formal key ceremony processes, geographic distribution of key shards, time-locked recovery mechanisms, and clear legal accountability for who's responsible if something goes wrong.

When a risk committee asks, "What happens if your CTO gets hit by a bus?" the answer can't be "we hope someone finds the password." That's an automatic project shutdown.

Settlement delays persist despite blockchain speed

Blockchain promises instant settlement. Technically, the token does move instantly on-chain. But the cash leg still settles on traditional banking rails that operate on T+1 or T+2 cycles.

Cash-token timing mismatch

Your interface might show "transaction complete," but behind the scenes, there's a gap between when the token transferred and when the cash actually cleared. During that window, you have counterparty risk. One party could default, a bank could freeze an account, or compliance could flag the transaction forcing a reversal.

Operations teams spend hours reconciling blockchain transactions against bank statements, tracking which cash transfers cleared and which are still pending. The promise of instant settlement evaporates into the same reconciliation work that plagues traditional markets.

Atomic settlement requires on-chain cash

True atomic settlement—delivery versus payment (DvP) where both legs happen simultaneously or neither happens at all—requires both assets and cash to be on-chain. Most platforms don't provide tokenized cash integration, regulated stablecoin connectivity, or preparation for Central Bank Digital Currency when those become available.

Even when tokenized cash exists, cross-chain settlements remain challenging. Your token lives on one network, their payment token lives on another, and now you need a bridge that maintains compliance checks across both chains while keeping the settlement atomic.

Corporate actions remain manual

Imagine your tokenized bond pays quarterly coupons. The typical process: your finance team exports a list of token holders from the blockchain explorer, imports it into Excel, calculates pro-rata payments, generates wire transfer instructions, sends them to the bank, manually logs each payment, and then reconciles which payments cleared.

Distribution complexity

Someone invariably gets missed because they acquired tokens between the snapshot date and the payment date. Another holder's bank account information changed. A third investor is in a jurisdiction that requires tax withholding, but nobody flagged that until after the payment went out.

Voting by spreadsheet

Shareholder votes require snapshotting token balances at a specific block, exporting holder addresses, matching them to real-world identities, sending voting instructions via email, tracking responses in another spreadsheet, tallying votes manually, and hoping nobody challenges the results.

Redemption workflows

An investor submits a redemption request via email or a web form. Someone verifies they actually hold the tokens. Someone else checks whether there's sufficient liquidity. A third person initiates the burn transaction on-chain. A fourth person processes the cash payment. Everyone hopes the reconciliation balances at month-end.

Stock splits, dividend distributions, rights offerings, tender offers—every corporate action that's automated in traditional securities markets becomes a custom project. Your operations team grows instead of shrinking.

Enterprise integration requirements unmet

Banks and asset managers operate with strict IT controls. They use Active Directory or Okta for identity management. They require single sign-on (SSO) so employees don't manage separate credentials for every system. They enforce multi-factor authentication (MFA) as standard policy. They need Security Information and Event Management (SIEM) integration to feed all security events into centralized monitoring.

Shadow IT concerns

Many blockchain platforms assume you'll create new user accounts in their system, manually provision access, and somehow duplicate your existing identity infrastructure. InfoSec immediately flags this as shadow IT with uncontrolled access.

Data residency and deployment

Data residency requirements mean European customers need data stored in EU data centers. Asian customers need data in their local region. Banks with specific regulatory constraints need on-premises deployment. Blockchain platforms built on public chains or single-region SaaS architectures can't accommodate these requirements.

Audit and compliance logging

Audit logging needs to capture everything: who accessed what data, who approved what transactions, who changed what settings, with precise timestamps and immutable evidence. Most platforms provide basic transaction logs, but enterprise audit requirements go deeper—you need to prove not just what happened, but who had access to make it happen.

Integration with existing systems

Your core banking system, your fund administration platform, your ERP, your CRM—all need to talk to the tokenization platform. When the platform provides only basic REST APIs with limited documentation, you're building all the integration code yourself.

Network and permissioning constraints

Public blockchain networks work well for some use cases. But regulated securities often require permissioned networks where only authorized participants can run validators, submit transactions, or read the ledger.

Deployment flexibility needed

Most tokenization platforms assume Ethereum mainnet or other public chains. When a bank needs a private network or a consortium deployment, the platform either doesn't support it or requires significant customization.

Gas cost volatility

Gas fees on public networks create unpredictable operational costs. Ethereum gas can spike to hundreds of dollars per transaction during congestion. That's acceptable for high-value DeFi transactions, but when processing thousands of small distributions, gas costs become prohibitive.

Transaction throughput limits

Ethereum processes about 15 transactions per second. If you're distributing tokens to 10,000 holders, that's over ten minutes of sequential transactions unless you batch them—which most platforms don't support elegantly.

Privacy conflicts

Regulated securities often can't disclose holder identities, transaction amounts, or even the existence of certain trades on a public ledger. Private or encrypted transactions add complexity that many platforms don't handle.

Why this matters for your evaluation

If you're evaluating tokenization platforms, every pain point described here will surface during your pilot. The fragmentation will become apparent during vendor selection. The compliance gaps will emerge during regulatory review. The custody concerns will get raised by your risk committee. The settlement delays will frustrate operations. The corporate action complexity will hit during your first distribution. The enterprise integration issues will get flagged by InfoSec.

You can either cobble together point solutions and manage all the integration complexity yourself, or adopt a unified platform architected from the beginning to address these institutional requirements.

Key takeaways

Understanding these market challenges helps you:

  • Evaluate platforms realistically - Ask vendors how they address each specific pain point with concrete technical implementations
  • Avoid hidden costs - Budget for integration, reconciliation, and operational overhead that fragmented solutions create
  • Set success criteria - Define measurable outcomes (T+0 settlement %, compliance breach count, integration points) rather than feature checklists
  • Plan proof-of-concept scope - Include realistic workflows that expose integration boundaries, compliance gaps, and custody requirements

The next logical step: understanding how Digital Asset Lifecycle Platforms (DALPs) systematically address these challenges through unified architecture.

Where to next

  • DALP solution – Learn how unified lifecycle platforms solve these problems
  • ATK overview – See SettleMint's implementation in practice
  • Glossary – Define technical terms
Introduction
Lifecycle platform approach
llms-full.txt

On this page

Key termsVendor fragmentation creates integration burdenIntegration as ongoing liabilityNo single source of truthOff-chain compliance creates legal riskFalse positives block legitimate investorsPermanent evidence of violationsCustody solutions don't meet institutional standardsKey loss is permanentMissing enterprise featuresSettlement delays persist despite blockchain speedCash-token timing mismatchAtomic settlement requires on-chain cashCorporate actions remain manualDistribution complexityVoting by spreadsheetRedemption workflowsEnterprise integration requirements unmetShadow IT concernsData residency and deploymentAudit and compliance loggingIntegration with existing systemsNetwork and permissioning constraintsDeployment flexibility neededGas cost volatilityTransaction throughput limitsPrivacy conflictsWhy this matters for your evaluationKey takeawaysWhere to next