Private AI
PROJECT SUMMARY
CHALLENGE
Manual checks of candidate info for outstaffing contracts were time-consuming and prone to errors
PRODUCT
A private AI that checks information within the contracts for consistency and relevancy, using the client’s internal rules and knowledge sources
DELIVERABLES
AI trained on internal documents; Connected to the client’s tools (email, messenger, etc.); Automated contract-review system; Full testing and adjustmentsCLIENT REVIEW
The CXDojo team proposed a pilot solution to help us speed up contract review, which had previously been a significant bottleneck. It was important for us that automation would not disrupt our internal approval logic and could integrate smoothly into our existing workflow.
They implemented an AI bot that handles routine tasks while allowing our team to interact with it directly. Even during the pilot phase, we saw a noticeable reduction in document processing time. We provided feedback through the bot, which made it easy to adjust the system quickly. We already see potential in expanding the bot’s scope to fully automate our contract review process.
OVERVIEW
A global outstaffing provider needed to ensure that information in contracts and agreements aligned with internal policies, job requirements, and client-specific terms. The verification process relied on manual checks across multiple internal systems and documents, making it time-consuming and error-prone.
We developed an on-premise AI-powered solution to automate this review process. The tool cross-references key details in contracts against internal knowledge sources — such as job descriptions, compliance guidelines, and client agreements — and flags any inconsistencies for legal and operational teams directly in the working documents as comments. This streamlined the verification workflow, reduced risk, and accelerated contract turnaround times. It also integrates seamlessly with the client’s internal communication channels for streamlined collaboration.
CHALLENGE
As the outstaffing provider scaled, ensuring that contract details matched internal knowledge — such as job descriptions, rate cards, compliance rules, and client-specific terms — became increasingly difficult. This verification process was manual, time-consuming, and prone to error.
Key information was spread across disconnected systems, forcing legal reviewers to chase down the latest inputs for each contract. Mistakes or oversights introduced legal and operational risks, and the lack of consistency and traceability slowed down onboarding and contract finalization.
The client needed a scalable solution to automatically verify contracts against trusted internal sources, highlight inconsistencies, and support faster, more reliable decision-making.
SOLUTION
We built a custom AI system that performs contract reviews in accordance with internal rules and runs completely on the client’s own servers, keeping everything private and secure. At the core, we used the n8n workflow automation platform.
Here’s how it works
The AI was trained using the company’s internal guidelines and templates.
When new information is added to a contract, the AI checks it for consistency, relevance, and alignment with company policies.
If there are any issues, the AI adds comments directly in the document, just like a human reviewer would do.
It works with the client’s existing tools (like email or chat), so the workflow stays smooth.
Timeline
- 2 weeks to build and train the AI
- 1 week for testing
- 1 week for fine-tuning based on feedback
End Result
A fully automated contract review process that’s 90% faster than doing it manually.
VALUE DELIVERED
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