An AI native assessment evaluates the operating model required for sustained AI and agent adoption. It focuses on measurable execution readiness across six areas.
Strategy and value model: Alignment on outcomes across cost, efficiency, reliability, and revenue. Clarity on where agents create advantage and where they create exposure.
Platform and stack readiness: Model selection approach, orchestration patterns, tool connectivity, logging, observability, and release management for rapid iteration.
Workflow architecture: A map of critical workflows and decision points, plus where agents can take actions, request approvals, or escalate.
Security, safety, and governance: Model risk management, prompt and tool security, identity and access, audit trails, red teaming, incident response, and policy enforcement.
Security, safety, and governance: Model risk management, prompt and tool security, identity and access, audit trails, red teaming, incident response, and policy enforcement.
Talent, roles, and accountability: Role clarity across product, engineering, security, legal, and operations. Operating cadence, ownership, and incentives that support adoption at scale.
Define goals, constraints, and scope. Confirm decision makers, stakeholders, and success metrics.
Review strategy, architecture, data, security posture, operating rhythms, and current AI initiatives.
Map critical workflows, identify decision loops, and assess the platform required for agentic execution.
Define control points, evaluation standards, monitoring, and escalation paths.
Sequence initiatives into a practical plan that integrates people, process, and platform.
A set of decision-ready artifacts designed for leadership teams.
AI native scorecard across the six areas
AI native scorecard across the six areas
Executive readout for board and C-suite alignment
Roadmap with sequencing, dependencies, and resourcing
Workflow inventory and agent opportunity map
Risk register with severity, controls, and owners
90-day execution plan with KPIs, governance cadence, and milestones
AI native assessment is the first step in a broader agentic consulting process. It sets the baseline for designing AI-native workflows, developing agentic operating models, and expanding deployment across teams.
Schedule an assessment scoping call with Christian and Timbers. We will identify your most impactful workflows, governance needs, and the quickest route to an AI-native operating model.
Boards seeking clear diligence on AI native readiness
CISOs operationalizing safety, identity, and auditability
CEOs and COOs designing AI-led operating models
CPOs and product leaders are embedding agents into products and internal workflows
CIOs and CTOs scaling from pilots to platforms
CHROs planning role design and capability building
Christian & Timbers offers an operator-level view of AI-native transformation, linking it to key leadership patterns across AI, engineering, security, and product. The assessment connects operating models, governance, and talent structure to ensure that execution remains sustainable as the technology stack evolves.
