Mastering Cost Risk with the CRED Model: A New Approach to Managing Uncertainty
The Estimation Agent converts unstructured program inputs into WBS elements, cost drivers, and effort models. It removes manual scoping and repetitive formatting, helping teams produce accurate, defensible estimates at speed.
Compliant
Secure
Audit-ready
Situations & triggers
Estimation challenges often surface under pressure: shrinking deadlines, new narratives, overloaded teams, or sudden audit requests. The Estimation Agent steps in during these moments, converting unstructured inputs into structured, defensible outputs that keep projects on track.
When
a proposal deadline shrinks
I want to
generate WBS structures quickly so I can submit on time
When
new program narratives arrive
I want to
turn them into structured cost models so I can align with finance
When
my team is overloaded
I want to
automate repetitive tasks so I can focus on high-value analysis
When
leadership requests updates midstream
I want to
refresh assumptions so I can maintain confidence in delivery
Desired outcomes/Benefits
The Estimation Agent accelerates workflows while improving accuracy, transparency, and alignment across teams. By reducing rework and generating audit-ready outputs, it helps organizations prove value while freeing experts to focus on higher-level analysis.
From days to hours.
Structured outputs improve first-pass accuracy.
Teams increase capacity without adding headcount.
Traceable outputs with built-in rationale.
Scenarios/Playbooks
From RFQ intake to proposal support, the Estimation Agent provides clear, repeatable playbooks that adapt to real-world demands. Each scenario follows a simple, structured workflow so teams can produce reliable estimates under tight timelines.
The Estimation Agent runs in a tenant-isolated environment, with all inputs and outputs protected under Galorath’s secure AI framework. Data is never shared across tenants, and all outputs retain traceability to source inputs for audit defense.
See it in actionScenario 1: RFQ sanity check in 3 steps
Trigger: When a customer sends a complex RFQ.
Step 1
Upload narrative, specs, or legacy docs.
Step 2
The Estimation Agent parses inputs and generates a structured WBS with aligned cost drivers.
Step 3
You get an editable estimate with cycle time, effort, and audit notes.
Scenario 2: Proposal draft support in 3 steps
Trigger: When proposal teams need cost inputs fast.
Step 1
Drop in technical sections or past responses.
Step 2
The Estimation Agent translates text into compliant cost and schedule structures.
Step 3
You get traceable artifacts ready to share with capture, engineering, or finance teams.
All data is tenant-isolated, encrypted, and never shared outside your environment.
Yes. Every output is tied to source inputs and includes rationale for auditability.
No. It accelerates early-stage work and connects seamlessly to SEER models for validation.
The agent can parse unstructured narratives and flag where assumptions need review.
No. It provides structured starting points. Human oversight and adjustments remain central.
Outputs are generated with audit notes and traceable logic, making reviews and certifications faster.
Confidential by design, every response is generated within Galorath’s secure AI framework with full traceability to source inputs.
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