Diagnostic Engagement
Structured evidence gathering, analysis, management review, and prioritised route forward.
From AI opportunity to dependable work practice.
LIVO combines diagnostic work, solution design, prototyping, capability development, and governance. We choose the intervention after understanding the work, not before.
1. AI and Work Diagnostic
When to use it
When many AI ideas compete for attention, adoption is stalled, or there is no defensible priority.
What LIVO does
Examines decisions, workflows, transformation conditions, execution capability, organisational capability, and risk.
What you receive
- Constraint and readiness analysis
- Prioritised findings and intervention routes
- Risk observations and next-step roadmap
Typical dependencies
Leadership sponsorship, stakeholder access, evidence availability, and a clear diagnostic scope.
2. AI Solution Design and Prototyping
When to use it
When a business problem is known but the right solution boundary is unclear.
What LIVO does
Maps the workflow, defines human and AI roles, sets success measures, prototypes, tests with users, and recommends the next step.
What you receive
- Workflow and role design
- Testable prototype or configuration
- Evaluation findings and implementation recommendation
Typical dependencies
User access, representative data, approved environments, decision availability, and agreed test criteria.
The result may be a configured enterprise agent, lightweight application, deterministic workflow, decision-support tool, or blended solution.
3. Workflow and Agent Development
When to use it
When a validated prototype should become a dependable operational solution.
What LIVO does
Develops integrations, access controls, exception handling, auditability, evaluation, documentation, and handover.
What you receive
- Operational solution within the agreed boundary
- Evaluation and control artefacts
- Documentation, handover, and operating responsibilities
Typical dependencies
System access, data quality, integration support, security review, change ownership, and user availability.
Use the simplest architecture that can perform the work reliably.
4. AI Governance and Evaluation
When to use it
Before higher-risk deployment or when AI use is spreading without consistent controls.
What LIVO does
Translates acceptable use into risk classes, human approval points, evaluations, monitoring, incident handling, and change control.
What you receive
- Draft governance and evaluation artefacts
- Test scenarios and approval conditions
- Operating roles, monitoring, and response procedures
Typical dependencies
Risk owners, policy access, solution documentation, representative test cases, and authority to assign controls.
5. Team Capability and Adoption
When to use it
When teams need to apply, supervise, or improve AI-supported work in their roles.
What LIVO does
Runs role-specific workshops, guided solution labs, manager enablement, playbook development, and adoption reviews.
What you receive
- Practical work methods and workshop artefacts
- Role and manager playbooks
- Adoption observations and recommended next steps
Typical dependencies
Approved accounts, devices, licences, data restrictions, administrative rights, VPN access, and supported tools.
Engagement models
Prototype or Proof-of-Concept Sprint
A bounded test used to learn about value, feasibility, risk, and user fit.
Solution Development Project
Operational implementation with integration, controls, evaluation, documentation, and handover.
Capability Programme
Role-specific development tied to recurring work and adoption needs.
Advisory and Evaluation Retainer
Ongoing design review, evaluation, governance, and scaling support.
Scope and timeline depend on access, data quality, integration, risk, and decision availability.