01
A useful agent is approaching production
The team has a demo, copilot, workflow agent, or early swarm but cannot defend its operating boundaries.
Readiness service
Machine Intelligence Readiness Sprint
Establish what the system is, what it may do, how it fails, who owns the decision, and what evidence is required before more autonomy is granted.
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Triggers
Use this service when
The engagement is appropriate when one or more of these conditions is blocking a decision.
02
Autonomy is expanding faster than controls
More tools, data, delegated tasks, or downstream actions are being added without a common control model.
03
A buyer, security team, or executive review is blocked
The architecture, evidence, authority, and failure story cannot yet travel across the review group.
What the engagement does
Scope and client-owned artifacts
The scope is narrowed to one decision boundary and a representative system slice.
- Public-safe discovery and system boundary definition
- Current-state architecture, agent, data, tool, and authority map
- Representative task and failure scenario selection
- Baseline evaluation of outcomes, coordination, cost, latency, and policy behavior
- Risk, dependency, and ownership register
- Release conditions and recommendation
How the work proceeds
Delivery sequence
Each step can narrow the next one as evidence changes the system understanding.
Frame the consequential decision
Name the workflow, owner, users, prohibited outcomes, and decision date.
Map the operating system
Trace models, agents, humans, data, tools, queues, approvals, and external services.
Run representative scenarios
Observe success, failure, recovery, cost, latency, and human intervention.
Classify control gaps
Separate design gaps, implementation defects, evidence gaps, and accepted risk.
Issue the decision package
Recommend proceed, narrow, remediate, or stop with explicit conditions.
Boundaries
Commercial boundaries
Explicit inclusions and exclusions keep the engagement decision-focused.
Included
Inside the boundary
Work that is expected within the agreed system and decision scope.
- One bounded workflow or agent system
- Representative scenarios and public-safe evidence
- Architecture and control recommendations
- Named acceptance criteria
Excluded
Outside the boundary
Work that requires a separate decision, scope, authority, or engagement.
- Enterprise-wide AI strategy
- Production implementation
- Security certification or legal opinion
- Unlimited model benchmarking
Start with a bounded decision
Scope the smallest system that can prove the decision.
Bring public-safe context about the workflow, agents, data, tools, authority, current evidence, and decision date.