AI Pattern
M&A resulting in complex system and process integration
Mergers and acquisitions often leave organizations with fragmented tools and redundant processes; AI can unify operations by mapping, transforming, and streamlining workflows across legacy systems.
Opportunities and solutions
Automated Process Mapping & Comparison
Real-world workflows are often poorly documented, making it difficult to compare, optimize, or integrate processes across teams.
Industries
Healthcare, Financial Services
Example Companies
CVS, Aetna, JP Morgan + InstaMed
Solution
AI analyzes workflows across merging companies, identifying overlaps, gaps, and inefficiencies.
Smart Exception Handling
Aligning conflicting rules, compliance policies, and business processes across growing teams or merged companies remains complex and risky.
Industries
Telecom, Manufacturing
Example Companies
T-Mobile, Sprint, Raytheon, United Technologies
Solution
AI flags edge cases where legacy processes diverge and recommends standardized resolutions.
AI-Driven Policy Alignment
Industries
Pharma, Insurance
Example Companies
Pfizer, Hospira, Aon, Willis Towers Watson
Solution
Automatically detects differences in compliance rules, approval hierarchies, and reporting structures, suggesting harmonization strategies.
Data Cleaning & Deduplication
Messy, duplicate, and outdated data slows down operations and decision-making but remains a low priority for busy teams.
Industries
Retail, SaaS
Example Companies
Amazon, Whole Foods, Salesforce, Slack
Solution
Ensures that duplicate records (e.g., vendors, customers, employees) are merged intelligently while preserving accuracy.
Intelligent Data Reconciliation
Reconciling conflicting records across platforms is time-consuming and error-prone, especially at enterprise scale.
Industries
Energy, Banking
Example Companies
Exxon, Pioneer, BB&T, Citigroup, Truist
Solution
AI detects inconsistencies in financial, operational, and customer records across entities.
Related Success Stories
Learn how organizations are already overcoming these challenges with Contextual. These real-world examples show how teams are using SolutionAI to tackle complexity, reduce friction, and move faster—with clarity and control.
Whatever your pattern, Contextual can help build your solution.
