Ned Knight helps financial services firms and other regulated enterprises govern AI, including the agents now acting on their core systems, and get more value from data they can trust. Senior-led advisory, platform implementation and managed governance, from Dallas, Dubai and Paris.
Many governance programs stall between the strategy slide and day-to-day operations. We design the program, put the technology in place, and then help you run it, so nothing is lost between phases.
Governance that fits your business goals, your risk appetite and the regulations you face.
Leading governance platforms, implemented and connected across your data, AI, security and business systems.
Ongoing managed services that keep your governance program running, evidenced and improving.
AI agents no longer just answer questions. They update customer records, trigger payments and draft decisions inside your CRM, ERP and core systems. That makes them a governance question as much as a technology one: which agents exist, what they are allowed to read and change, who approves their actions, and how you prove it to an auditor.
We build agent governance into your program from day one: an inventory of every agent, permissions tied to identity, human approval where the risk warrants it, and an audit trail your regulators will accept. Our roots in enterprise CRM and data platforms mean we understand the systems agents act on, not just the models behind them.
A fixed-scope, 6-week assessment of your AI use, data risks and regulatory exposure, ending in a prioritized roadmap and business case your board can act on.
Your AI governance platform live in 10–12 weeks: AI registry populated, risk tiering configured, approval workflows running and evidence collection switched on.
A monthly service that runs your program: monitoring controls, onboarding new AI systems and agents, tracking regulatory change and reporting to your board.
Answer ten questions in about two minutes and get an instant maturity score, benchmarked against the EU AI Act, NIST AI RMF and ISO/IEC 42001, with your three priority actions.
AI inventories, risk tiering, model lifecycle controls and accountability, so AI can be adopted responsibly and at scale.
Inventories, permissions, guardrails and audit trails for AI agents that act on your business systems.
Ownership, stewardship, privacy rights automation (DSAR), consent management, lineage, and data intelligence that keep data compliant, trusted, and findable.
Comprehensive AI model risk, continuous agent monitoring, and third-party vendor AI risk assessments built directly into enterprise risk management frameworks.
Gap assessments and readiness programs for emerging AI laws and established data protection regimes.
Roles, councils, decision rights, policies and testable controls that link what regulators expect to what your teams do every day.
A clear path that turns intentions into lasting capability.
Baseline maturity, AI use, data risks and regulatory exposure.
A prioritized plan tied to business value and risk.
Policies, operating model, controls and technology.
Governance built into data, AI and business workflows.
Managed services that monitor, report and keep improving.
Banks, insurers, asset managers and fintechs using AI under close supervisory scrutiny. We bring AI and agents into your model risk management framework, strengthen data lineage for regulatory reporting, and prepare you for supervisory expectations on AI.
Providers, payers, pharma and medtech handling sensitive health data and clinical AI.
Technology companies building AI into their products, and energy, telecommunications and public-sector organizations where regulators expect proof of control.
Governance fails when these disciplines work in silos. Our senior-led team and specialist network cover all five, so policy, process and platform work together as one program.
We actively collaborate and partner with premier enterprise platforms across AI governance, privacy automation, and data trust. Our dedicated implementation practice pairs deep regulatory strategy with certified platform deployment to ensure long-term client success.
We recommend and implement technology based strictly on technical capability, enterprise architecture, and supervisory alignment.
We match your program to the laws and standards that affect your business across the United States, Europe, the Gulf and beyond.
Why agents that update CRM, ERP and core banking records need different controls from models, and a practical framework to govern them.
How U.S. banks can extend model risk management to generative AI and agents, and where the current approach falls short.
A plain-English guide to Texas’s AI law, who it affects, and the practical steps to prepare.
Headquartered in Dallas, with a Middle East hub in Dubai and a European hub in Paris, we serve clients across the United States, Europe and the Gulf.
Serving clients across the United States and the Americas.
Serving clients across the UAE, the GCC and the wider region.
Tell us where you are today. We'll help you work out what comes next, starting with a focused readiness assessment.