Expert AI Consulting and Support Services

Building understanding, judgment, and practical literacy

Responsible AI use starts with shared understanding.  Synthetica provides practical, governance-informed training that helps organizations build AI literacy, strengthen risk awareness, and develop clearer judgment about when and how AI should be used.

Our training is designed for real organizational settings.  We help participants understand what AI is, where it may be useful, where the risks lie, and what responsible use requires in practice.  This includes building a shared vocabulary for discussing AI-related risk, clarifying appropriate and inappropriate uses, and helping people recognize when added caution, oversight, or escalation is needed.

Sessions can be tailored for different audiences, including Boards, executive leadership, managers, and staff teams.  Depending on the group, training may focus on governance and oversight responsibilities, organizational decision-making, role-based boundaries, or day-to-day workflow considerations.  Topics may include privacy, confidentiality, sensitive data, bias, accuracy, transparency, accountability, documentation, human oversight, and appropriate professional or organizational limits.

Participants leave with practical guidance they can use immediately, along with stronger confidence in navigating AI-related decisions within their roles and responsibilities.

Formats: 

Keynote, 90-min webinar, half-day, full-day, multi-session cohort
 

Outcomes: 

• Shared AI literacy across the organization.
• A clearer vocabulary for identifying and discussing AI-related risk. 
• Practical guidance on appropriate and inappropriate AI use, especially where sensitive data is involved.
• Greater clarity about role-based responsibilities, boundaries, and escalation points.
• Increased confidence for Boards, leaders, and staff in making sound decisions about AI use. 
• Practical templates and checklists that can be applied immediately.

Tailored for:

• Boards and governing bodies
• Executive and senior leadership teams
• Managers and people leaders
• Staff teams and operational units
• Professional, regulatory, public-interest, and human/social-service organizations

Building organizational structure, rules, and accountability

Responsible AI use also requires clear internal direction.  Synthetica helps organizations develop the policies, governance structures, and decision-making tools needed to support accountable, consistent, and values-aligned AI use across the organization.

This work is designed for organizations that want more than informal guidance or case-by-case decision-making.  We help create a stronger internal foundation for how AI may be used, where its limits are, who is responsible for what, and how concerns should be identified, reviewed, and addressed.  The result is a governance approach that is practical, defensible, and better able to support privacy, accountability, sensitive data protection, and public trust.

This service can be tailored for Boards, executive leadership, managers, and staff-facing operational contexts.  Depending on the organization’s needs, we may focus on governance responsibilities, approval pathways, escalation processes, internal standards, and clearer expectations for responsible AI use across functions.

Deliverables may include:

• AI use policy (internal) 
• Client- or patient-facing disclosure language 
• Vendor evaluation checklist 
• Data handling rules and red lines 
• Governance model including roles, approvals, and escalation pathways 
• Training and oversight plan 

The goal is to put the essential governance pieces in place so that AI use is not left to assumption, improvisation, or uneven practice.

Outcomes:

• Clearer organizational rules and expectations for AI use.
• Stronger alignment between values, policy, and operational practice. 
• Greater clarity around roles, approvals, and accountability. 
• More consistent decision-making across teams and functions. 
• Better support for privacy, confidentiality, and sensitive data protection. 
• A stronger foundation for trust with staff, clients, stakeholders, and the public.

Tailored for:

• Boards and governing bodies 
• Executive and senior leadership teams 
• Managers and operational leaders 
• Professional associations and regulatory organizations 
• Non-profits, public-interest, and human/social-service organizations

Building readiness, safeguards, and responsible practice

Responsible AI use also depends on how tools, workflows, and oversight are put into practice.  Synthetica helps organizations operationalize responsible AI use through practical implementation support, risk review, and structured decision-making at key points of adoption.

This work is designed for organizations that want to move from principles and policies into real-world use with greater clarity and control.  We support leaders and teams in assessing whether proposed AI uses are appropriate, selecting tools more carefully, redesigning workflows where needed, and building in safeguards before risks become embedded in practice.

Depending on the organization’s needs, this service can support early-stage planning, pilot development, tool selection, workflow design, or internal review of proposed AI use cases.  Our approach is practical and proportionate, with attention to privacy, confidentiality, sensitive data, accountability, bias, human oversight, and the operational realities of implementation.

This service can be tailored for Boards, executive leadership, managers, and staff-facing operational contexts.  For some organizations, the focus may be on implementation readiness and oversight.  For others, it may be on vendor diligence, workflow redesign, pilot design, or structured review of higher-risk use cases.

This work may include:

• Tool selection and vendor due diligence: Support in reviewing AI tools and services with attention to privacy, security, accountability, transparency, and fitness for purpose 
• Workflow redesign for safer use: Adjusting processes and decision points to reduce risk and support more appropriate human oversight 
• Ethical impact review or readiness assessment: Structured review of a proposed use case, workflow, or organizational context to assess key ethical, operational, and governance considerations 
• Pilot design, measurement, and monitoring: Support in shaping limited-scope pilots with clearer objectives, safeguards, success measures, and mechanisms for review 

The goal is to help organizations move forward with greater confidence, clearer safeguards, and more defensible implementation decisions.

Outcomes:

• More informed and accountable decisions about AI tools and use cases .
• Stronger alignment between governance intentions and operational practice. 
• Safer, clearer workflows for AI-supported work. 
• Better visibility into risk before wider adoption. 
• More structured and measurable pilot processes.
• Greater organizational readiness for responsible implementation.