Agent Deployment Confidence Score

1. Observability

Can you see what your agents are doing in real-time?

Question 1

How do you oversee agent reasoning and decisions while agents are running?

Focus on runtime oversight (during execution), not post-hoc review

Select your current state (1 = Manual, 5 = Operationalized)

1 - Post-Hoc Review

We review what agents did after the fact when issues are reported

2 - Manual Spot Checks

We manually review sample outputs periodically while agents run

3 - Basic Dashboards

We have dashboards showing agent activity, but oversight is reactive

4 - Runtime Oversight

We actively oversee agents as they operate with real-time governance evaluation

5 - Continuous Governance

Comprehensive runtime oversight with embedded governance agents evaluating reasoning quality

Question 2

Can you track agent performance and drift from expected behavior?

How do you know when agents deviate from their design?

Select your current state (1 = Manual, 5 = Operationalized)

1 - No Tracking

We don't systematically track performance or drift

2 - Ad-Hoc Analysis

We analyze performance when problems are reported

3 - Basic Metrics

We track basic metrics but drift detection is manual

4 - Automated Alerts

Automated alerts when agents drift from expected patterns

5 - Continuous Monitoring

Continuous drift detection with automated root-cause analysis

Question 3

How quickly can you identify when an agent is making problematic decisions?

Time from issue occurring to your team knowing about it

Select your current state (1 = Manual, 5 = Operationalized)

1 - Reactive Discovery

Days or weeks later when business impact is noticed

2 - Delayed Detection

Hours to days via periodic reviews

3 - Dashboard Review

Within hours through dashboard monitoring

4 - Near Real-Time

Within minutes via automated alerts

5 - Immediate Detection

Instant alerts with context and suggested intervention

2. Intervention Capability

Can you control agents when they drift or make errors?

Question 4

How do you intervene when an agent makes a bad decision?

Can you stop or correct agent behavior?

Select your current state (1 = Manual, 5 = Operationalized)

1 - No Controls

We have no mechanism to intervene once agents are running

2 - Manual Shutdown

We can manually stop the entire agent/system

3 - Manual Intervention

Engineers can manually intervene but it's slow and reactive

4 - Automated Safeguards

Automated safeguards with manual override capability

5 - Dynamic Control

Real-time control with automated escalation and human-in-the-loop at critical points

Question 5

How do you prevent agents from taking high-risk actions?

Are there guardrails that prevent dangerous decisions?

Select your current state (1 = Manual, 5 = Operationalized)

1 - No Guardrails

Agents can take any action within their technical capability

2 - Trust-Based

We trust prompt engineering and training to prevent bad actions

3 - Basic Constraints

Hard-coded rules prevent some risky actions

4 - Policy Enforcement

Automated policy enforcement with human approval for high-risk decisions

5 - Dynamic Guardrails

Context-aware guardrails that adapt based on risk level and business rules

Question 6

Can you rollback or reverse problematic agent decisions?

What happens when you discover a bad decision after it's made?

Select your current state (1 = Manual, 5 = Operationalized)

1 - No Rollback

Agent decisions are final; we handle impacts manually

2 - Manual Correction

We manually identify and fix problematic decisions

3 - Limited Rollback

We can rollback some decisions in some systems

4 - Automated Reversal

Automated capability to reverse decisions when issues are detected

5 - Complete Remediation

Automated rollback with impact analysis and remediation workflows

3. Forensics & Auditability

Can you reconstruct what happened and why?

Question 7

How do you investigate incidents involving agent decisions?

Can you trace back through agent reasoning and context?

Select your current state (1 = Manual, 5 = Operationalized)

1 - No Forensics

We can't reconstruct agent decisions after the fact

2 - Partial Logs

We have partial logs but gaps make investigation difficult

3 - Manual Investigation

Engineers can piece together what happened through manual log analysis

4 - Decision Provenance

Complete decision logs with reasoning and context, requires expertise to interpret

5 - Forensic Platform

Searchable forensic platform that reconstructs full decision context and causality

Question 8

Can you prove compliance and accountability to auditors or legal?

What evidence can you provide for regulatory inquiries?

Select your current state (1 = Manual, 5 = Operationalized)

1 - No Audit Trail

We have no systematic record of agent decisions

2 - Incomplete Records

Partial records that wouldn't satisfy an audit

3 - Basic Logging

Logs exist but would require significant manual work to present

4 - Audit-Ready Trails

Complete audit trails that can be exported for review

5 - Compliance Platform

Automated compliance reports with cryptographic verification and tamper-evident storage

Question 9

How long does it take to answer "Why did the agent make this decision?"

From question asked to answer delivered

Select your current state (1 = Manual, 5 = Operationalized)

1 - Unknown/Impossible

We often can't answer this question at all

2 - Days of Investigation

Requires days of engineering time to investigate

3 - Hours of Analysis

Can answer in hours with manual log analysis

4 - Minutes with Tools

Can answer in minutes using search/query tools

5 - Instant Explanation

Instant retrieval of decision context, reasoning, and alternatives considered

4. Decision Quality Assurance

How do you ensure agents make good decisions?

Question 10

How do you evaluate whether agent decisions are correct?

Beyond "it didn't break" - how do you measure decision quality?

Select your current state (1 = Manual, 5 = Operationalized)

1 - No Evaluation

We assume agents work if nothing breaks

2 - Spot Checking

We manually review a small sample of decisions

3 - Outcome Tracking

We track business outcomes but can't tie them to specific decisions

4 - Quality Metrics

Automated quality metrics with human review of edge cases

5 - Continuous Validation

Continuous quality validation with automated feedback loops and improvement

Question 11

Do you have test cases or evaluation sets for agent behavior?

How do you know agents will perform correctly before deployment?

Select your current state (1 = Manual, 5 = Operationalized)

1 - No Testing

We test agents informally with ad-hoc examples

2 - Basic Test Cases

We have a small set of test cases we run manually

3 - Evaluation Suite

Structured evaluation suite covering common scenarios

4 - Automated Evals

Automated evaluation pipeline with regression testing

5 - Continuous Evaluation

Continuous evaluation with production data, automated regression detection, and quality gates

Question 12

How do you validate that agents align with business policies and values?

Are agent decisions consistent with your organization's principles?

Select your current state (1 = Manual, 5 = Operationalized)

1 - Trust & Hope

We trust the model was trained on good data

2 - Reactive Correction

We correct policy violations after they're discovered

3 - Periodic Audits

Periodic manual audits of agent decisions against policies

4 - Policy Monitoring

Automated monitoring for policy compliance with alerts

5 - Policy Enforcement

Automated policy enforcement preventing violations before they occur

5. Oversight Scalability

Can you scale oversight without scaling headcount proportionally?

Question 13

What happens to oversight workload as you deploy more agents?

Does each new agent require proportional human oversight?

Select your current state (1 = Manual, 5 = Operationalized)

1 - Linear Scaling

Each agent requires dedicated human oversight—not scalable

2 - Manual Monitoring

We can monitor multiple agents but it's very manual

3 - Tool-Assisted

Tools help but we'd need more people to scale significantly

4 - Automated Oversight

Automated oversight with humans handling exceptions only

5 - Fully Automated

Automated oversight scales to hundreds of agents with minimal human intervention

Question 14

How automated is your agent deployment process?

From "agent is ready" to "agent is in production"

Select your current state (1 = Manual, 5 = Operationalized)

1 - Fully Manual

Deployment requires extensive manual work and coordination

2 - Partially Scripted

Some scripts exist but require manual intervention

3 - CI/CD Pipeline

CI/CD pipeline exists but oversight setup is manual

4 - Automated Deployment

Automated deployment including oversight infrastructure

5 - Self-Service Platform

Self-service platform where teams can deploy agents with governance automatically applied

Question 15

How long does it take to get stakeholder approval for a new agent?

From "agent works in demo" to "approved for production"

Select your current state (1 = Manual, 5 = Operationalized)

1 - Months or Never

3+ months or approval never happens—agents stay in pilot

2 - Many Weeks

4-12 weeks of review and back-and-forth

3 - Several Weeks

2-4 weeks with documented process

4 - Days to Week

3-7 days with clear approval criteria and documentation

5 - Same Day

Approval in hours via automated compliance checks and predefined criteria

Agent Deployment
Confidence Assessment

Let's begin with the Assessment

Agent Deployment
Confidence Assessment

Dimension Scores

Primary Gap

Complete Capability Analysis

Additional Blockers

Areas of Strength

Developing Capabilities

How Teams Close These Gaps

Your Deployment Roadmap

Ready to Deploy with Confidence?

📧 Email Your Results

Agent Deployment Confidence Assessment

Let's begin with the Assessment

Agent Deployment Confidence Assessment

Dimension Scores

Primary Gap

Complete Capability Analysis

Additional Blockers

Areas of Strength

Developing Capabilities

How Teams Close These Gaps

Your Deployment Roadmap

Ready to Deploy with Confidence?

📧 Email Your Results

Agent Deployment
Confidence Assessment

Agent Deployment
Confidence Assessment