Why unification, AI, and data completeness are now non-negotiable

Regulators are tightening their grip on digital communications oversight. In the U.S. alone, the SEC has imposed $2.6 billion in fines on firms for failures in communications management. 

Despite significant investment, many institutions still operate with fragmented systems, incomplete data, and outdated processes that expose them to regulatory, operational, and reputational risk. 

To better understand how Tier 1 and Tier 2 banks are addressing these challenges, we partnered with GreySpark Partners to survey compliance leaders. The findings were clear: Compliance frameworks must evolve, and quickly. 

Why DCGA matters: From fragmentation to unification 

Most firms implement Digital Communications Governance & Archiving (DCGA) in a fragmented way, relying on disparate tools that create silos, incomplete surveillance coverage, and inefficient archiving. 

While 60% of banks interviewed have integrated DCGA into their compliance frameworks, this is often achieved through governance processes rather than a single, unified platform. 

A consolidated DCGA platform brings together: 

• Communications surveillance
• Archiving and retention
• AI governance 

By establishing a single source of truth, firms can reduce the cost of ownership, minimize false positives, and strengthen audit readiness. 

How AI plays a key role 

Artificial Intelligence (AI), particularly machine learning (ML) and natural language processing (NLP), is reshaping compliance functions. 

These technologies enable compliance teams to: 

• Detect suspicious patterns across voice and text 
• Reconstruct and reconcile missing data
• Automate repetitive tasks

Leaders revealed that 60% of their firms have already incorporated AI into their compliance toolkit. However, adoption comes with responsibility. AI must be: 

• Explainable: Transparent decision logic regulators can interrogate 
• Governable: With defined ownership and oversight
• Defensible: Supported by human review, robust documentation, and complete datasets

Failure to adopt AI responsibly is no longer a neutral stance. Non-adoption itself will soon be a compliance liability. 

The data completeness crisis 

Alarmingly, 80% of firms struggle with data completeness which is a foundational requirement for compliance and audit readiness. 

The key challenges include: 

• Multiple channels and formats: chat, voice, email, Teams, Bloomberg, CRMs, etc.
• No golden source: fragmented data across vendors and jurisdictions.
• Poor archiving and metadata: inconsistent tagging and retrieval. 
• Multiple vendor handoffs: gaps in accountability and increased data loss risk.

These gaps have real-world consequences. Roughly 70% of firms have banned WhatsApp due to monitoring limitations, but this has created friction in markets such as Southeast Asia and Latin America, where clients prefer encrypted messaging. 

From a regulatory standpoint, poor data governance is increasingly treated as a compliance failure in its own right, resulting in high-profile fines and reputational damage. 

Five strategic priorities for firms 

Based on our research, financial institutions should prioritize:  

1. Consolidating oversight into a unified DCGA platform
2. Adopting single-tenancy cloud archiving for defensibility and security
3. Defining AI ownership and accountability across compliance, IT, and business functions
4. Prioritizing documentation and explainability for AI models, data sources, and decisions
5. Preparing for AI-augmented roles, retraining compliance staff as AI supervisors and model stewards  

Turn compliance into a strategic advantage 

Data fragmentation is no longer tolerable. Regulators expect unified, defensible frameworks, making unification, responsible AI, and complete data governance non-negotiable. 

With these foundations in place, compliance evolves from a defensive necessity into a strategic enabler of trust, agility, and resilience. 

Download our report, The Next Frontier in Financial Compliance: Unifying Surveillance, Governance and AI to explore the complete findings. 

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