Mastering Cost Risk with the CRED Model: A New Approach to Managing Uncertainty
The Knowledge Capture Agent conducts structured, interview-style sessions with subject matter experts to capture critical knowledge before it is lost to retirement, turnover, or shifting roles. By guiding conversations with adaptive questioning and converting transcripts into reusable artifacts, it transforms hands-on knowledge into structured, auditable data.
Compliant
Secure
Audit-ready
Situations & triggers
Organizations often rely on a few key experts to keep estimation and planning on track. When those experts retire, change roles, or leave, their experience and judgment can disappear with them. The Knowledge Capture Agent prevents this by preserving expertise in a structured format that can be shared, searched, and reused.
When
senior experts retire
I want to
capture their rationale so I can preserve it for future projects
When
onboarding new staff
I want
direct access to expert insights so I can accelerate learning
When
decisions need justification
I want
auditable knowledge artifacts so I can explain assumptions.
When
program transitions occur
I want
continuity of estimation logic so I can avoid disruption
Desired outcomes/Benefits
Knowledge loss creates operational risk and slows transformation. By embedding captured expertise into SEERai, the Knowledge Capture Agent ensures continuity, strengthens governance, and reduces reliance on individuals. This safeguards institutional memory and empowers teams to perform at a higher level.
onboarding with preserved expert knowledge.
of knowledge loss from retirement or turnover.
with structured, documented rationales.
through shared, reusable expertise.
Scenarios/Playbooks
By capturing and structuring expert knowledge, the agent ensures continuity across transitions and strengthens long-term practices.
All interactions with the Knowledge Capture Agent occur in a tenant-isolated environment. Captured knowledge remains secure, private, and traceable, ensuring compliance with internal and external requirements.
Learn MoreScenario 1: Capturing retiring expert knowledge in 3 steps
Trigger: When a senior subject matter expert prepares to retire.
Step 1
The Knowledge Capture Agent conducts structured interview sessions.
Step 2
Expert insights are converted into estimation drivers, rationales, and annotated knowledge.
Step 3
Future teams access and apply this knowledge directly in SEERai.
Scenario 2: Onboarding new team members in 3 steps
Trigger: When new staff join estimation or program teams.
Step 1
New users query the Knowledge Capture Agent for expert rationale and context.
Step 2
The agent provides structured insights tied to past decisions and assumptions.
Step 3
Onboarding accelerates with less reliance on direct expert availability.
It captures expert insights, estimation drivers, and decision rationales in structured, auditable form.
No. It preserves and extends their expertise so teams can continue benefiting from it over time.
Yes. It uses adaptive questioning to dig deeper into areas of expertise and uncover context that might otherwise be missed.
By creating traceable artifacts, it provides documented evidence of assumptions and rationale.
Yes. All sessions and artifacts are tenant-isolated, encrypted, and never shared outside your environment.
Confidential by design, every response is generated within Galorath’s secure AI framework with full traceability to source inputs.
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