MANDRELMandrel helps your firm deploy AI securely, with visibility and governance as the launchpad. We establish clear oversight of AI usage, data, and access, then deploy and manage platforms, skills, and agents aligned with your firm’s policies and operational priorities.
Secure deployment starts with understanding your environment. Visibility reveals how AI is used; governance defines how it should operate. Together, they provide the launchpad for adoption, workflow improvement, and measured growth.
Understand how AI is being used, where data flows, and who has access. Establish oversight and clear boundaries before expanding adoption.
Translate business priorities into a deployment roadmap, with approved use cases, security requirements, and clear measures of success.
Develop custom skills and agents that connect approved enterprise knowledge and systems to your workflows within a secure, firm-owned environment.
As your AI Managed Service Provider (AIMSP), Mandrel delivers coordinated platform administration, user support, governance, and workflow development through an ongoing managed service.
*ZDR is available for supported providers, models, and configurations. We confirm retention terms and data flows across the full environment—including application storage and logs—before defining the scope of any ZDR commitment.
From access and policy controls to user enablement and ongoing review, we manage the day-to-day within the boundaries your firm approves.
Translate your firm’s expertise into reusable AI skills and purpose-built agents. We design, deploy, and maintain them within a secure environment owned and controlled by your firm, with access and actions governed by your policies.
Capture approved procedures, templates, and subject-matter guidance as reusable skills to support consistent document review, research, drafting, and reporting.
Build agents that carry out defined tasks across approved systems, reducing repetitive effort while preserving human review at key decision points.
Deploy in your firm’s tenant or cloud environment, with ownership of the deployment, access policies, and configuration. External model connections follow explicitly approved data flows and retention terms.
Establish your launchpad: map AI usage, data flows, and access; define policies, ownership, and oversight.
Prioritize use cases around your goals and systems. Define the architecture and measures of success within agreed controls.
Configure access and controls, validate workflows in a pilot, and equip your people before broader rollout.
Support users, administer platforms, review usage, and strengthen controls as your firm’s needs evolve.
Start with visibility and governance, then explore how AI can support knowledge-intensive teams with people in control.
Begin with a clear view of AI usage, access, and data flows. Set ownership, policies, and review processes, then use ongoing monitoring to guide responsible adoption.
Help teams find and synthesize information across approved sources, with permissions and source references guiding the experience.
Explore assisted intake, comparison, and drafting for questionnaires, research, and document review—with human approval at key steps.
Create reusable skills and task-specific agents within your firm-owned environment. Connect approved systems, standardize repeatable work, and define access boundaries and human approvals for each workflow.
Start with visibility and governance. Build a clear path to secure deployment, practical enablement, and ongoing management of your firm’s AI.