Checklist

Checklist

Checklist

Get Agent Ready Checklist

What you need to check off as you go through your AI Agent journey

Section 1: Strategic Alignment

Has leadership set the direction for agent adoption?

0/5
Clear executive sponsor for AI / automation initiatives
Documented “Agent Strategy” or automation roadmap
Budget allocated for experimentation and pilot projects
Defined success metrics (ROI, efficiency, adoption)
Governance framework in place (data, ethics, risk)
0/5
Clear executive sponsor for AI / automation initiatives
Documented “Agent Strategy” or automation roadmap
Budget allocated for experimentation and pilot projects
Defined success metrics (ROI, efficiency, adoption)
Governance framework in place (data, ethics, risk)
0/5
Clear executive sponsor for AI / automation initiatives
Documented “Agent Strategy” or automation roadmap
Budget allocated for experimentation and pilot projects
Defined success metrics (ROI, efficiency, adoption)
Governance framework in place (data, ethics, risk)

Goal: Establish executive ownership and a clear path from experiments → scale.

Section 2: Data & Access Foundations

Are your systems ready for agent access and automation?

0/5
Core systems have APIs or automation interfaces (CRM, ERP, etc.)
Secure, role-based access controls already in place
Sensitive data classified and access-scoped
Audit logging active for system-to-system calls
Internal documentation for API endpoints and integrations
0/5
Core systems have APIs or automation interfaces (CRM, ERP, etc.)
Secure, role-based access controls already in place
Sensitive data classified and access-scoped
Audit logging active for system-to-system calls
Internal documentation for API endpoints and integrations
0/5
Core systems have APIs or automation interfaces (CRM, ERP, etc.)
Secure, role-based access controls already in place
Sensitive data classified and access-scoped
Audit logging active for system-to-system calls
Internal documentation for API endpoints and integrations

Goal: Ensure agents can connect safely without exposing uncontrolled access.

Section 3: Technical Infrastructure

Can your infrastructure support agents operating at scale?

0/5
MCP (Model Context Protocol) or equivalent environment set up
Version-controlled configuration for each agent
Observability / monitoring tools integrated (metrics, logs)
Secure token / credential management implemented
Sandbox or staging environment for testing agents
0/5
MCP (Model Context Protocol) or equivalent environment set up
Version-controlled configuration for each agent
Observability / monitoring tools integrated (metrics, logs)
Secure token / credential management implemented
Sandbox or staging environment for testing agents
0/5
MCP (Model Context Protocol) or equivalent environment set up
Version-controlled configuration for each agent
Observability / monitoring tools integrated (metrics, logs)
Secure token / credential management implemented
Sandbox or staging environment for testing agents

Goal: Move from ad-hoc experiments to managed, production-grade environments.

Section 4: People & Process

Are your teams ready to work alongside or manage agents?

0/5
Designated “Agent Owner” roles defined per use case
Policies created for human-in-the-loop oversight
Training provided for staff on how to interact with agents
Internal comms plan for AI agent rollout
Change management processes adapted to agent workflows
0/5
Designated “Agent Owner” roles defined per use case
Policies created for human-in-the-loop oversight
Training provided for staff on how to interact with agents
Internal comms plan for AI agent rollout
Change management processes adapted to agent workflows
0/5
Designated “Agent Owner” roles defined per use case
Policies created for human-in-the-loop oversight
Training provided for staff on how to interact with agents
Internal comms plan for AI agent rollout
Change management processes adapted to agent workflows

Goal: Build trust and accountability between people and their AI counterparts.

Section 5: Security & Compliance

Do you understand and control agent behaviour and exposure?

0/5
Agents operate under scoped, revocable identities
Secrets management integrated with rotation policies
Audit trails for all agent actions and tool calls
Compliance checks performed on agent data flows
Vendor / LLM provider security assessments completed
0/5
Agents operate under scoped, revocable identities
Secrets management integrated with rotation policies
Audit trails for all agent actions and tool calls
Compliance checks performed on agent data flows
Vendor / LLM provider security assessments completed
0/5
Agents operate under scoped, revocable identities
Secrets management integrated with rotation policies
Audit trails for all agent actions and tool calls
Compliance checks performed on agent data flows
Vendor / LLM provider security assessments completed

Goal: Prevent agent sprawl, credential leaks, and unauthorized actions.

Section 6: Measurement & Iteration

Are you capturing value and learning fast enough?

0/5
Baseline metrics established before agent deployment
Success dashboards (productivity, response time, cost)
Regular post-mortems and feedback loops on agent use
Experiment logs maintained for reproducibility
Iteration plan for next-generation agent use cases
0/5
Baseline metrics established before agent deployment
Success dashboards (productivity, response time, cost)
Regular post-mortems and feedback loops on agent use
Experiment logs maintained for reproducibility
Iteration plan for next-generation agent use cases
0/5
Baseline metrics established before agent deployment
Success dashboards (productivity, response time, cost)
Regular post-mortems and feedback loops on agent use
Experiment logs maintained for reproducibility
Iteration plan for next-generation agent use cases

Goal: Prevent agent sprawl, credential leaks, and unauthorized actions.

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