Case Study Transforming Contract Management & Recruitment with AI + Salesforce
How we leveraged OpenAI and Claude within Salesforce to automate candidate screening and contract data extraction for a compliance provider.
The Client
Introducing artificial intelligence to life sciences compliance and staffing operations.
The client is a North America-based software and compliance solutions provider that serves life sciences and pharmaceutical companies across the United States and the European Union. The organization offers regulatory compliance software, data verification services, and specialized staffing services tailored to the strict regulatory environments of the pharmaceutical and healthcare sectors.
In the life sciences industry, compliance is non-negotiable. Staffing and contracting processes must adhere to strict regulatory guidelines, requiring detailed verification of qualifications, clinical history, and licensing credentials. Additionally, client contracts are highly complex, containing intricate compliance clauses, service-level agreements (SLAs), and regulatory commitments that must be accurately recorded.
As the client's business grew, they faced a high volume of job applications and customer contracts. Their administrative staff was overwhelmed by manual data entry and screening tasks, leading to operational bottlenecks.
The Challenge
Manual bottlenecks in high-stakes compliance and hiring cycles.
The client's operations faced two main bottlenecks. First, the onboarding of candidates was slowed down by manual resume reviews and credential verification. Recruiters had to review hundreds of complex applications daily, leading to hiring delays and lost talent.
Second, the contract management process was highly manual. Sales and compliance teams spent hours extracting regulatory commitments, pricing details, and milestones from unstructured PDF documents and entering them into Salesforce. This manual process was error-prone, risking non-compliance and tracking errors.
Manual candidate screening caused recruitment delays and increased workload.
Manual contract data entry led to administrative backlogs and compliance risks.
Sales representatives spent valuable time manually checking for deal updates.
Recruiter productivity was hindered by a lack of centralized candidate evaluation tools.
What our audit found
Administrative overhead and the risk of data entry errors.
Our team evaluated the client's sales and recruitment workflows. The audit showed that recruiters spent over 50% of their workday reading resumes and shortlisting candidates. The hiring lifecycle averaged three to four weeks, causing high drop-off rates among qualified applicants.
On the contract management side, manually reviewing and entering contract terms in Salesforce took up to 90 minutes per document. Data entry discrepancies occurred in roughly 8% of contracts, requiring manual validation and audits.
Recruiter time was consumed by manual resume sorting.
Contract entry was slow, causing delays in billing and project kickoffs.
Inconsistent candidate scoring led to subjective shortlisting decisions.
High data entry error rates risked compliance issues in contract tracking.
The Solution
How we turned it around.
AI-Driven Candidate Screening and Recruiter Dashboard
We developed an AI-driven candidate screening engine. The system integrates OpenAI and Claude models with the client's applicant tracking database to review resumes, verify credentials, and calculate a candidate fitment score. Recruiters see each fitment score alongside the supporting evidence in their existing dashboard, so they can prioritize the strongest applicants immediately instead of reading every resume from scratch.
What we shipped
- Configured Claude to evaluate candidate credentials against strict compliance checklists.
- Implemented OpenAI to generate daily batch fitment scores for all new applicants.
- Built a recruiter dashboard to display scores, skills, and resume summaries.
- Programmed filters to allow recruiters to identify qualified candidates instantly.
Automated Contract Data Extraction with Salesforce Agentforce
We built an automated document processing pipeline. Using Salesforce Agentforce and custom AI models, the system reads incoming contract PDFs, extracts data points (such as pricing, dates, and compliance terms), and populates Salesforce fields automatically. This removed the slow, error-prone manual keying that had tied up staff on every new contract, and it ensured the key commercial and compliance terms were captured consistently in one place.
What we shipped
- Integrated Salesforce Agentforce to read unstructured contract PDFs.
- Configured extraction logic for complex legal and compliance clauses.
- Programmed validation checks to flag contracts that require manual review.
- Integrated the extraction pipeline into the opportunity object in Salesforce.
Salesforce Workflow Integration for Real-Time Sales Alerts
We designed Salesforce Flow triggers to eliminate manual checks. When a contract is processed or an applicant status changes, the system automatically updates the deal records and alerts the assigned representatives in real time. Because the records and notifications stay in sync on their own, nothing falls between recruitment and contracting, and representatives can act on the latest status without chasing updates across teams.
What we shipped
- Built automated Salesforce Flow triggers for contract milestone updates.
- Designed real-time email and Slack notifications for sales representatives.
- Centralized tracking of contract execution status on opportunity layouts.
- Created audit logs to track changes in contract metadata.
The Numbers
Outcomes we can talk about.
The deployment of AI solutions transformed the client's contract management and recruitment operations. By automating resume reviews, the compliance provider accelerated its hiring cycle, allowing recruiters to focus on qualified candidates.
The contract extraction pipeline eliminated manual data entry. Salesforce fields are populated within minutes of document upload, reducing the administrative burden on the compliance team.
With Salesforce Agentforce tracking deal changes and notifying teams in real time, representatives no longer need to check system records manually, improving operational efficiency.
Note on Metrics: Due to strict compliance standards and non-disclosure agreements, quantitative performance metrics were restricted from public release. The project's success was validated by the deployment of the AI-powered dashboards, 100% adoption of the automation tools, and the elimination of manual data entry errors.
What We Built
What's Next
Expanding AI to automated client invoicing and vendor onboarding.
The client plans to extend the AI extraction pipeline to vendor agreements and partner onboarding workflows. Additionally, they plan to integrate the Salesforce billing engine to automate invoicing once contracts are verified by the AI models.
Frequently Asked Questions
About This Project
The questions teams usually ask when they want to run a similar engagement.
The AI compares resume text with job requirements and regulatory compliance standards to calculate a score from 1 to 100.
The Real Numbers
Need real numbers? Let's talk.
We kept the names off the page. The story is real, the outcomes are real, and we're always happy to walk a serious team through the rest of it.
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