Go/No-Go Decision Automation for Engineering Project Pursuit

Pursuit decisions in engineering and professional services carry real cost. Pursuing the wrong opportunity wastes proposal resources, occupies senior staff, and creates expectations that cannot be met. When those decisions are made inconsistently, based on individual judgment rather than a shared evaluation framework, the pattern of mistakes compounds. An engineering firm was making go/no-go decisions without a structured tool, relying on experienced staff to assess each opportunity individually. The experience was valuable. The inconsistency was not. They called BabyBots.

Strategic Impact

Standardizing Pursuit Decisions Through Automated Scoring

Process Mapping and Scoring Design

The scoring model was built around what actually drives sound pursuit decisions, not what was easy to quantify. The firm's existing evaluation process was mapped, the variables that drove quality go/no-go decisions identified, and a weighted scoring framework designed before any development began.

Automated Scoring Engine

Every opportunity now gets evaluated against the same criteria in the same way. The automated scoring engine applies weighted criteria to new opportunity inputs and generates a structured evaluation output without requiring individual assessment from a senior team member.

Integration with Project Intake

New opportunities enter the evaluation framework automatically rather than requiring someone to initiate the review. Integration with the project intake process ensured the scoring tool became part of the standard workflow, not an additional step someone could skip.

UAT and Scoring Refinement

The scoring model was refined against real historical data, not finalized in the abstract. UAT with the pursuit team included feedback on scoring weights and logic against historical opportunities, and the model was adjusted before production deployment.

Documentation and Team Enablement

The firm can maintain, adjust, and extend the tool as pursuit criteria evolve without external help. Documentation and training covered the scoring model, input requirements, and output interpretation, giving the team full ownership of what was delivered.

BabyBots Impact Assessment

Faster, More Consistent Pursuit Decisions

An automated go/no-go scoring tool standardized pursuit evaluation across the organization. Time spent assessing new opportunities was reduced and consistency of pursuit decisions improved. The firm gained a shared framework that applied the same logic to every opportunity, preserving the judgment behind the criteria while removing the variation in how it was applied.

Walkthrough of scoring logic and criteria weighting configuration
Training on interpreting automated recommendations and factor-level outputs
Guidance on updating scoring criteria as strategic priorities evolve
Documentation review for independent long-term management

Automated go/no-go scoring engine with configurable weighted criteria
Structured decision output with factor-level context for pursuit leads
Integration with project intake process for automatic opportunity evaluation
UAT documentation and scoring validation reports
Audit trail of pursuit decisions for continuous improvement analysis

Project Journey

Project Timeline

Phase 1

Go/No-Go — Phase 1: Process Mapping & Scoring Logic Design

Mapped the existing go/no-go evaluation workflow with pursuit leadership, defined weighted scoring criteria and decision rules, and designed the output format and factor-level context for the automated evaluation tool.

Phase 2

Go/No-Go — Phase 2: Automated Scoring Engine Build

Built the automated scoring engine to evaluate new opportunities against defined criteria, generate structured go/no-go recommendations, and surface the specific factors driving each output for pursuit lead review.

Phase 3

Go/No-Go — Phase 3: UAT with Real Opportunities & Refinement

Conducted UAT sessions with pursuit leads using a range of real and historical opportunities to validate scoring accuracy. Refined weighting and logic based on feedback before go-live.

Phase 4

Go/No-Go — Phase 4: Production Deployment & Audit Trail Setup

Deployed the go/no-go scoring tool to production with project intake integration active. Confirmed audit trail generation and delivered documentation covering criteria configuration and scoring logic for long-term independent management.

Engineering / Decision Automation

Pursuing the wrong opportunity costs more than not pursuing the right one.

The firm can maintain, adjust, and extend the tool as pursuit criteria evolve without external help. Documentation and training covered the scoring model, input requirements, and output interpretation, giving the team full ownership of what was delivered.