Reclaiming 15–25 Hours per Complex Quote Without Losing Engineering Judgment

The Situation  

A specialty industrial engineering firm produces custom designs and quotes for manufacturing clients. Complex quotes routinely consume 15–25 hours of senior engineer time. The work involves pulling prior similar jobs, supplier constraints, material specifications, compliance notes, and internal standards from scattered SharePoint folders, email threads, and personal drives. Inconsistency between quotes is a known risk. New engineers take months to reach productivity on quoting.

The Real Problem  

This is a knowledge and retrieval problem wrapped in process friction, not a pure “generative AI” problem. Generic chat tools hallucinate specifications and cannot be trusted for client-facing numbers. The firm needs:

- Fast, accurate retrieval of its own historical work and standards.

- Consistent structure so every quote follows the same disciplined path.

- Full auditability so a senior engineer can review and stand behind the output.

- A system that improves as the firm’s knowledge base grows.

How Citadel Would Approach It  

1. Knowledge & Process Audit  

   Inventory the actual sources used in recent complex quotes. Identify the highest-friction retrieval steps and the most common sources of inconsistency. Define the minimum viable structured knowledge set.

2. Custom Retrieval-Augmented Agent  

   Build a domain-specific agent grounded exclusively in the firm’s cleaned historical quotes, standards library, and approved supplier data. The agent produces a structured draft quote package (assumptions, scope, risk flags, estimated hours/materials) that a senior engineer reviews and finalizes. No free-form generation of specifications that are not in the source material.

3. Integration & Governance  

   Lightweight integration with the existing CRM or quoting spreadsheet. Clear rules for what the agent is allowed to assert versus what must be escalated. Versioned knowledge base and change-control process so the system stays reliable as documents are added or updated.

Expected Kinetic Outcomes  

- Significant reduction in hours spent assembling the first complete draft.  

- Higher consistency across quotes and faster onboarding of new engineers.  

- Explicit risk flags that surface missing data or high-uncertainty items early.  

- A living internal knowledge asset that compounds with every completed project.

Why This Fits Citadel  

We treat the agent as an engineered system with requirements, test cases, and a clean handover package—not as a chatbot experiment. The emphasis is on reliability, auditability, and preserving the firm’s engineering judgment rather than replacing it.