Workflow Integration Architecture for Shared Staffing and Forecast Data

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Solution Overview

Problem

Conventional computing systems suffer from disjunct processes that operate in isolation, leading to inefficiencies, data silos, misaligned objectives, inaccurate forecasting, and poor performance tracking, making it difficult to scale and manage resources effectively.

Innovation Solution

An integrated system that integrates proposal development, baseline development, program execution, and workforce planning components into a cohesive workflow, using a split-database architecture to align cost, schedule, and performance metrics, and provide real-time visibility and automated data transfer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If processes operate in isolation with separate data repositories, then each process maintains independence and simplicity, but data silos form causing fragmented information and inconsistent data flow

Engineering Contradiction:

Improveprocess independenceVSAvoiddata fragmentation

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The patent merges separate process data repositories into a unified data structure where all processes share common data elements through defined relationships. This eliminates data silos while maintaining process independence through the modular process definition framework, allowing processes to access shared data without direct coupling.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a universal data repository that serves multiple processes simultaneously. The shared data structure with defined relationships enables any process to access and contribute data as needed, providing multi-functional access while maintaining data consistency across all processes.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If manual intervention is used to transfer data between processes, then data accuracy can be controlled, but delays occur and errors increase

Engineering Contradiction:

Improvedata accuracyVSAvoiddata transfer delay

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements automated data transfer mechanisms where processes automatically exchange data through the shared repository based on defined relationships and triggers. The system self-regulates data flow without manual intervention, maintaining accuracy through structured data definitions while eliminating transfer delays.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent incorporates feedback mechanisms that automatically validate and verify data transfers between processes. The system monitors data integrity and provides real-time feedback to ensure accuracy, replacing manual verification while maintaining high data quality standards.

Inventive Principle:

Principle #23Feedback

3Ease of operation

If multiple isolated systems are managed separately, then each system can be maintained independently, but system complexity increases and maintenance becomes difficult

Engineering Contradiction:

Improveindependent maintenanceVSAvoidsystem management complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent segments the system into modular process definitions that can be independently developed and maintained. Each process is defined as a separate entity with explicit data relationships, allowing independent maintenance while the unified data structure prevents fragmentation. This modular segmentation reduces overall system management complexity.

Inventive Principle:

Principle #1Segmentation

4Adaptability or versatility

If forecasting is done without shared information, then each process can plan independently, but planning accuracy deteriorates and resource allocation becomes inefficient

Engineering Contradiction:

Improveindependent planningVSAvoidforecasting accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent introduces a shared data repository as an intermediary that enables independent planning processes to access common information. Processes can independently create forecasts while the intermediary provides access to relevant data from other processes, improving forecasting accuracy without compromising planning independence.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20260057345A1Method and system for integrating disjunct processes into a cohesively systematic workflow

Publication Date: 2026.02.26 BARRIGA ERNEST

AI summary

A method and apparatus for integrating multiple disjunct processes into a cohesive workflow can involve receiving proposal development inputs through a system linked to a back-end processor and user interface, and collecting with the proposal development, data for staffing and cost estimation, customizable per case. The data can be processed by a baseline development component to confirm realistic paths, establish target dates, and maintain cost and schedule metrics within tolerances. The system can update tasks, displays critical paths, and monitor performance metrics while integrating with a portfolio workforce planning component, staffing data across proposal, baseline development, and program execution components. This integration of staffing data can allow for strategic decision making and/or program prioritization.