From Hype to Production: Three Ways Pinnacle Clients Are Putting Claude to Work

At Pinnacle Solutions Group, we’ve seen plenty of AI projects stall at the demo stage. Our focus is different: finding the places where Claude makes a measurable difference in real engineering work, then getting it into production. Here are three recent engagements that show what that looks like.

OneTouchPoint: Accelerating a critical platform rewrite

OneTouchPoint, a B2B enterprise marketing execution and brand operations company, was rewriting the core systems behind its client order and fulfillment flows. Much of that logic lived in legacy EDI integrations and Excel-driven workflows with little documentation, and many client-specific variations were known only to a few team members.

Pinnacle’s joined OneTouchPoint to architect its External Integrations initiative and lead the team building it, serving as the bridge between architecture, engineering, and business stakeholders. Using Claude Code throughout the engagement, the team:

• Implemented brand-sync automation using a JSON-based API to create, update, and validate configuration for more than 100 clients
• Reverse engineered multiple legacy platforms to enable historical data mining and guide the move to modern, supportable infrastructure
• Mapped EDI payloads to the new platform’s .NET data structures and defined client-specific requirement mappings
• Authored comprehensive EDI documentation in SharePoint, now OneTouchPoint’s internal and external reference for its integration strategy
• Built a Python tool that converts production work-template spreadsheets into uploadable XML templates for the new production system
• Rapidly delivered an emergency proof-of-concept interface to automate processing of key transactional documents during a time-sensitive customer issue

The results: brand configuration for 100+ clients is now automated, a documentation system that did not exist before is now shared with OneTouchPoint’s customers.

“The use of AI accelerated critical phases of our technical rewrite that would have taken significantly longer and consumed a greater portion of our budget had we not identified a new way of performing the work.”

— Ian O’Brien, Chief Technology Officer, OneTouchPoint

Coverdale Group: Root cause in minutes, not hours

Coverdale Group is a technical professional services partner for B2B merchandisers, running a large portfolio of client integrations on AWS Lambda. When an integration failed, engineers had to dig through CloudWatch logs, trace the error through source code, and query databases by hand.

Pinnacle helped Coverdale design and deploy two custom Claude Code skills. The first lets an engineer paste an error message, or even a screenshot of a product manager’s email, into Claude Code. Claude searches the relevant Lambda logs, compares the error to the source code, and returns the exact file and line of the failure along with the fix, or an explanation of how the issue was caused by user input. The second connects to an integration’s database with read-only access, works out which queries to run from the code, and answers questions like “What happened with order COV-01234 in prod?” in plain language.

The result: time to root cause dropped from 1 day to 2 hours, across client integrations.

“Pinnacle Solutions helped us cut through the AI noise and focus on what actually matters. They have led our team to deploy tools that drive real impact for our business and our customers.”

— Mike McNew, Managing Director, Coverdale Group

A national automotive and RV warranty provider: Faster claim decisions

A national vehicle and RV warranty provider was receiving more claims than its reviewers could handle, and adjudicating a claim required specialized knowledge of vehicles, parts, and dealerships that took years to build. The company wanted technology to help its existing team keep up rather than rehire.

Pinnacle used Claude Code to accelerate the build of an AI-assisted adjudication tool, from code generation to probing historical claims data to shape the decision logic. The tool met both of the client’s targets: decisions in under one minute, matching the benchmark set by senior adjusters, and roughly 95% decision accuracy.

What these stories have in common

None of these started with “let’s use AI.” They started with a specific bottleneck: undocumented integrations, slow incident triage, a claims backlog. Claude Code gave our engineers leverage on the hardest, most time-consuming parts of each problem, and our team made sure the output was reviewed, validated, and ready for production.