Phase 1 Diagnostic Solutions
Data-Driven Feasibility, Bottleneck Elimination, and Risk-Mitigated AI Roadmaps Before You Commit Capital
“We’ll show you where AI should, and shouldn’t, be used.”
Protect your capital wth data driven certainty. Before updating ERPs, changing CRMs, modifying workflows, or procuring hardware, let ABI execute strategic diagnostics to map workflow bottlenecks, identify economic drivers, and prove AI technical readiness.

Quote Leakage & Speed Audit
Target Client Needs
Designed for custom manufacturers suffering from sluggish 1-3 week quote turnarounds, collapsing competitive win rates, and severe margin leakage caused by manual estimation practices.
Diagnostic Process
A rigorous data ingestion of historical quotes, win/loss timestamps, and completed job records. We execute a forensic variance analysis between your engineering estimates and shop-floor actuals to map the mathematical correlation between quoting velocity and revenue conversion.
Package Options & Deliverables
| Package Level | Data Ingested | Outputs & Deliverables |
|---|---|---|
| Remote | 30 days historical quotes; up to 10 job records | High-level Win/Loss segmentation; baseline System Blueprint. |
| Hybrid (Remote Kickoff & 1-Day On-Site) | 60-90 days historical quotes; 10-30 job records | Deep Quote-vs-Actual Variance Analysis pinpointing top economic drivers and profit killers. |
Data Friction & AI Readiness Scan
Target Client Needs
Ideal for organizations eager to deploy Generative AI or predictive models but paralyzed by fragmented pipelines, disconnected IT/OT systems, and high labor costs associated with manual data rework.
Diagnostic Process
Treating enterprise data as active infrastructure, we map your software inventory, evaluate representative exports against rigorous FAIR principles, and conduct interrogations with process owners to identify undocumented data silos and access friction.
Package Options & Deliverables
| Package Level | Data Ingested | Outputs & Deliverables |
|---|---|---|
| Remote | High-level systems inventory; 1-2 data exports; 60-min virtual interview | Basic Data Readiness Score; preliminary Ranked Use-Case Roadmap. |
| Hybrid (Remote Kickoff & 1-Day On-Site) | Deep architecture mapping; multiple complex exports; 90-min on-site interviews | Comprehensive System Map; detailed Manual Rework Cost Analysis translating friction into dollars. |
Constraint Economics Sprint
Target Client Needs
Engineered for operations-heavy enterprises experiencing “sluggish flow,” where increasing revenue generates massive Work-In-Progress (WIP) backlogs and physical production bottlenecks.
Diagnostic Process
Rooted in Little’s Law and the Theory of Constraints (TOC), we isolate a single workflow to execute Value Stream Mapping (VSM). By measuring Takt times, release intervals, and physical queue times during a Gemba walk, we identify the exact binding constraint limiting capacity.
Package Options & Deliverables
| Package Level | Data Ingested | Outputs & Deliverables |
|---|---|---|
| Remote | Workflow isolation via exported ERP logs and virtual interviews | Theoretical bottleneck identification; baseline E2 Operations Model Alignment. |
| Hybrid (Remote Kickoff & 1-Day On-Site) | Physical Gemba Walk observing actual work, release intervals, and queue times | Definitive Binding Constraint Identification; granular financial impact report utilizing throughput accounting. |
Executive AI/ROI Feasibility Study
Target Client Needs
Tailored exclusively for executive boards and stakeholders who demand an independent, vendor-agnostic business case and risk profile before authorizing capital for a systemic digital transformation.
Diagnostic Process
A high-level strategic consultation focusing heavily on economic feasibility, change management readiness, and technical risk mitigation. We evaluate AI maturity levels and align proposed interventions directly with long-term corporate value creation targets.
Strategic Deliverable
AI and Automation Readiness Audit
A Strategic Plan to Ensure Your Company Profits in the AI Era
Best For: Manufacturing companies that want to move beyond generic technology hype and implement targeted, ROI-driven AI solutions. It is ideal for organizations operating with disconnected data silos lacking the highly specialized, in-house engineering talent required to architect a secure and profitable digital transformation.
