Our AI services are designed to move organizations from AI interest to practical, responsible implementation. Depending on a client’s goals, industry, risk profile, and stage of AI adoption, we provide targeted support across strategy, governance, regulatory readiness, security assessment, vendor diligence, procurement, contracting, implementation, and training.
AI Strategic Planning + Governance Programs
Our team collaborates with organizations to design and implement enterprise-wide AI strategic planning and governance programs that align AI initiatives with business objectives, operational priorities, and responsible innovation goals. We help leadership identify where AI can create meaningful value, assess current and planned AI use, and develop practical strategies for deploying AI tools in ways that support growth, efficiency, decision-making, compliance, and long-term competitiveness, while managing risk.
We begin by mapping the full scope of AI use across the organization, including models, algorithms, big data systems, automated tools, and AI applications already in use or under consideration. For each use case, we document key details such as business purpose, operational function, inputs and outputs, data sources, anticipated benefits, implementation needs, affected stakeholders, governance considerations, and oversight and compliance requirements.
This process gives leadership a clear, structured view of how AI is being used, where additional opportunities may exist, and what governance infrastructure is needed to support responsible and scalable adoption.
The result is a living strategic framework that helps organizations prioritize AI initiatives, assign accountability, establish governance processes, support cross-functional coordination, and make informed decisions about AI investment, deployment, oversight, and compliance.
We also support implementation by preparing an AI governance program that may include policies and procedures, acceptable use policies, governance protocols, review processes, training, and cross-functional oversight structures. This work may also include creating or revising employee-facing acceptable use policies and employee handbooks to operationalize the organization’s AI principles, policies, and procedures.
AI Regulatory Tracking + Readiness Planning
The AI regulatory landscape is evolving rapidly across federal, state, and international jurisdictions. We provide clients with detailed surveys of the current legal landscape related to AI development, deployment, and use, including issues involving privacy, cybersecurity, data collection, notice and consent requirements, employment, consumer protection, professional responsibility, and sector-specific obligations.
We also help clients monitor legal and regulatory developments on an ongoing basis, including through monthly or quarterly updates as legislation, regulations, enforcement priorities, and guidance evolve. This readiness planning helps organizations anticipate emerging obligations, prepare for compliance before enforcement begins, and reduce the risk of costly retrofitting, operational disruption, or regulatory action.
AI Security Risk Assessments
Before an AI platform, tool, or application is approved for use, organizations should assess whether the technology can be deployed safely within their technical, operational, and compliance environment. AI security risk assessments help classify applications as low, medium, or high risk by evaluating the intended use case, the sensitivity of the data involved, user access, vendor security controls, system integrations, and the potential impact of unauthorized access, data exposure, inaccurate outputs, or misuse.
Our team assists organizations in designing and conducting AI security assessments tailored to their business operations, technology infrastructure, and regulatory obligations. This may include reviewing data handling practices, data classification, access controls, authentication, encryption, logging and monitoring, retention practices, vendor security documentation, incident response procedures, contractual commitments, and restrictions on the use of organizational data for model training and use.
We also evaluate whether an AI platform is appropriate for use with confidential, proprietary, personal, regulated, or government-controlled information.
Following the assessment, organizations receive document findings, risk classifications, approval conditions, and recommended mitigation measures before deployment. The result is a practical and defensible review process that supports secure AI adoption, informed approval decisions, and consistent enterprise governance.
AI Vendor Diligence, Procurement + Contracting Negotiation
Third-party AI tools can raise legal, operational, security, privacy, intellectual property, and governance risk considerations that standard procurement processes may not fully address. We assist clients in evaluating AI vendors and AI-enabled products before approval, procurement, and deployment, with a focus on how each tool will be used, what data it will access or collect, how outputs will be generated, and whether the vendor’s practices align with the organization’s AI strategy, security requirements, and governance framework.
Our team reviews vendor contracts, policies, product terms, privacy notices, data processing terms, security documentation, model training practices, data retention commitments, subcontractor arrangements, acceptable use restrictions, and incident response procedures. We also help clients develop AI-specific procurement workflows, intake questions, diligence standards, approval conditions, and internal review processes for proposed AI tools.
We support the negotiation of AI platform agreements and related contractual protections, including provisions addressing data handling, confidentiality, information security, intellectual property ownership, ownership and permitted use of inputs and outputs, restrictions on vendor use and disclosure of client data, use of data for training purposes, performance expectations, compliance representations, audit rights, indemnities, liability allocation, termination rights, and post-termination data return or deletion obligations.
This integrated approach helps organizations adopt third-party AI tools through a practical procurement and contracting framework that advances business goals, protects sensitive information and intellectual property, clarifies vendor accountability, and supports broader AI governance objectives.
