AI adoption should begin with a useful business case, clear data boundaries, accountable ownership, and a platform that can be governed. Kennedy IT Solutions helps organizations move from informal experimentation to deliberate, responsible use.
AI readiness and governance services
Enable useful adoption without treating every new tool as automatically safe or valuable.
- AI use-case discovery and feasibility scoring
- Current tool and shadow-AI inventory
- AI acceptable-use and governance policy development
- Risk-tier and approval workflow design
- Data classification and permitted-use mapping
- Vendor security, privacy, training, retention, and contract review
- Enterprise identity, access, role, and lifecycle requirements
- Connector, plug-in, memory, agent, and data-boundary review
- Pilot scope, sandbox, success criteria, and stop criteria
- Human-review and accountability requirements
- Incident reporting and response considerations
- Approved-tool registry and exception process
- Training and responsible-use guidance
- Microsoft Copilot and enterprise-assistant readiness
- Workflow and automation opportunity assessment
- AI-enabled vendor and application feature review
- Governance committee and decision-right design
- Annual review and continuous-improvement planning
A K.I.S.S. approach to AI
Start narrow, prove value, and preserve control.
Know the use case
What decision or task improves, who owns it, what data is involved, and what happens if the output is wrong?
Identify the boundary
Define approved accounts, data classes, systems, connectors, users, logs, vendors, and prohibited uses.
Simplify the pilot
Limit scope, integration, data, autonomy, and duration so value and risk can be measured.
Secure and scale
Only expand after ownership, controls, support, training, contracts, and repeatable results are established.
Move from AI enthusiasm to responsible execution.
We can help create the intake process, policy, vendor review, pilot plan, and governance foundation before wider adoption.
English