Keep pace with regulation. Pass scrutiny. Protect efficiency.
Organization design, workforce planning and HR systems, shaped with the managers responsible for putting the change into practice
Regulations arrive faster than most control functions can absorb them. Operational resilience, third-party risk, the AI Act, sustainability reporting and e-invoicing all bring new requirements, evidence demands and often, their own transformation programs. Managed independently, they create duplication, competing priorities and rising compliance costs without necessarily improving the organization's risk profile.
We treat these challenges as a single data and process problem: obligations mapped onto the existing systems and records, evidence generated once and reused across regulatory requirements and remediation prioritized according to risk exposure.
Recent advances in AI have made this approach significantly more scalable. Regulatory texts, policies and control frameworks can now be analyzed and cross-referenced in a fraction of the time previously required, allowing specialists to focus on judgement, challenge and implementation. This is particularly important in highly regulated sectors such as financial services, healthcare and energy, where requirements continue to multiply and the cost of delay extends beyond compliance into operational performance.
Where we work
Regulatory Change & Remediation
Obligations extracted and mapped across regulations using language models, reviewed by practitioners, then translated into system, process and data changes with a remediation plan regulators can follow.
Operational Resilience & Continuity
Critical business services mapped end to end, with impact tolerances, third-party dependencies and tested recovery paths
Data Protection & Privacy
Automated discovery and classification of personal data across the enterprise, privacy by design embedded into products and platforms, and subject rights managed at scale
Cyber Risk & Security Governance
Security governance, third-party risk, detection analytics and control assurance, aligned to the technology roadmap
Ways of Working & Delivery Models
Ways of working redesigned for an AI era, bringing together business experts, engineers and data scientists to accelerate execution and shorten the path from insight to value
Control Framework & Assurance Automation
One control library across regulations, with evidence generated by systems and exceptions surfaced by models
Overlapping obligations consolidated into a single framework with automated evidence for a regulated financial institution
Data governance, delivery model and control expectations set out in a partnership framework covering the lender's regulated data estate
Why Talan?
Mapping obligations to systems
Each requirement is tied to the systems, data elements and controls that satisfy it, creating an auditable chain from regulatory obligation to operational execution
Producing evidence once, reusing it everywhere
Controls are designed so the same evidence can support multiple regulatory and supervisory requirements
Hiring practitioners from regulated industries
The people on the engagement have worked inside banks, insurers and utilities and understand what a supervisor will accept
Sequencing remediation by exposure
Work is prioritized and sequenced based on the risk it reduces and the regulatory deadlines it protects.
Testing resilience, not just documenting
Recovery paths are exercized against real dependencies to ensure business continuity arrangements work in practice