Full trajectory evaluation
Task completion, tool correctness, argument correctness, plan quality, plan adherence, and step efficiency.
FOUNDER-LED · EVIDENCE-BASED · 30-DAY REMEDIATION
Know whether your agent actually works.
For organizations building or deploying AI agents that need measurable confidence in performance, reliability, and security before scaling.
DEPLOYMENT PRESSUREUp to 40%
of enterprise applications are predicted to include task-specific AI agents by the end of 2026.
Gartner, August 2025 ↗OBSERVED SECURITY IMPACT65%
of 418 IT and security professionals surveyed reported an AI agent-related incident in the prior 12 months.
Cloud Security Alliance, April 2026 ↗INCIDENT CONSEQUENCE61% / 43%
reported data exposure or mishandling / operational disruption among incident-affected respondents.
Cloud Security Alliance, April 2026 ↗THE QUIET FAILURE PROBLEM
Final answers can hide
bad execution.
Most agents fail quietly on tool selection, plan adherence, task completion, and security posture. A plausible final response does not prove that the underlying execution was correct, efficient, or safe.
This engagement evaluates the full trajectory, diagnoses the failure modes, and converts the evidence into a focused 30-day improvement plan.
WHAT YOU RECEIVE
Evidence you can
act on.
CF scoring layer
Custom qualitative rubrics for strategic clarity, actionability, security, and guardrail strength.
Failure diagnosis
Observed failure modes, root-cause analysis, evidence boundaries, and risk implications.
30-day remediation plan
Prioritized changes, sequencing, owners, and a direct working session with Rory.
HOW WE EVALUATE
Measure the path,
not only the answer.
DeepEval-based trajectory measurement is paired with Clarity Foundry criteria so technical performance is assessed alongside the strategic and institutional demands of the workflow.
01
Task completion
Did the agent produce the intended real-world result?
02
Tool correctness
Did it select the right tools for the task?
03
Argument correctness
Were tool parameters valid, complete, and safe?
04
Plan quality
Was the proposed path coherent and sufficient?
05
Plan adherence
Did execution remain aligned with the plan?
06
Step efficiency
Did the agent avoid waste, loops, and needless actions?
THE ENGAGEMENT
From instrumentation
to improvement.
Scope
Define one agent or workflow, its operating context, priority scenarios, success criteria, and evidence boundary.
Instrument
Capture the relevant traces, tool calls, plans, outputs, and guardrail behavior required for defensible measurement.
Evaluate
Run the agreed scenarios, score the trajectory, and distinguish isolated errors from repeatable system weaknesses.
Remediate
Prioritize the changes that most improve reliability, safety, and execution over the next 30 days.
BEST FOR
Agents that touch
real systems.
Designed for teams whose agents interact with tools, data, or institutional processes—and whose leaders need measurable performance and risk clarity before scaling.
- Tool-using copilots and workflow agents
- Institutional or regulated processes
- Multi-step agents with planning behavior
- Systems where guardrail failure has real consequences
START WITH THE DECISION
Build confidence
before you scale.
The first conversation confirms the agent, workflow, evidence availability, and evaluation boundary. If the Sprint fits, the $2,750 deposit reserves the engagement.