AI-powered Internal Workforce Assistant for HR Operations Optimization
Brief
A secure, domain-trained AI chatbot that helps HR teams automate recruitment tasks, analyze internal documents, generate operational code, and respond to system-related querie, boosting workforce efficiency across the organization.
I. Key challenges the client had to tackle
The client sought to transform internal productivity by introducing a secure, company-specific AI assistant capable of supporting employees across multiple workflows, from recruitment to reporting. They envisioned a chatbot similar to ChatGPT, but tailored to internal systems, documentation, and HR processes.
However, the company’s rapidly growing data, dispersed knowledge, and manual workflows created bottlenecks. Recruiters spent hours reviewing CVs, employees struggled to interpret system documentation, and routine tasks, such as writing emails, generating SQL queries, or preparing Excel files, consumed an excessive amount of time.
To overcome these roadblocks, the client needed an AI partner capable of designing a domain-trained chatbot that could optimize tasks, ensure compliance, and improve decision-making accuracy. That’s why they partnered with Adamo.
What challenges did they deal with?
II. How Adamo created a next-generation internal assistant powered by AI
Adamo designed a secure, domain-trained AI chatbot that empowers employees with instant access to information, automated workflows, and HR-specific intelligence. The goal was to reduce manual workloads, accelerate hiring decisions, and bring advanced AI capabilities into everyday operations.
1. Custom-Trained Intelligent Chatbot with LLM tailored to company knowledge
Adamo built an internal chatbot powered by fine-tuned LLMs and trained on internal documentation, HR guidelines, recruitment workflows, and process manuals. Using enterprise-grade NLP and a RAG architecture connected to the internal knowledge base, the system retrieves relevant information before generating responses, ensuring high accuracy, minimal hallucination, and natural, human-like interactions.
2. Integrated AI tools to automate recruitment and daily HR operations
To improve hiring accuracy and reduce manual workload, Adamo embedded intelligent automation features directly into the chatbot. These capabilities include CV summarization, job–candidate matching, and Excel automation code generation. Recruiters can now evaluate candidates faster, while employees benefit from automated support for repetitive tasks, cutting recruitment and operational processing time by up to 50%.
3. SQL-enabled reporting automation for data-driven workflows
The platform includes an AI-powered SQL generation feature. By interpreting Excel data, the chatbot can automatically produce accurate SQL queries on demand. This enhancement streamlines reporting processes, reduces human error, and accelerates data analysis by 70%, enabling teams to make faster, more informed decisions.
III. Key Features of the AI-powered internal chatbot
1. Domain-Trained Internal Knowledge Base: Understands internal operations, guidelines, and documentation to answer employee questions instantly.
2. AI CV Summarization: Condenses complex CVs into structured summaries for faster recruiter evaluation.
3. Job-Candidate Matching Engine: Compares CVs with job descriptions to improve hiring accuracy and reduce manual screening.
4. Excel Automation Code Generator: Creates scripts and formulas that reduce time spent on repetitive spreadsheet tasks.
5. AI Email Writer: Produces professional emails using internal templates and communication standards.
6. SQL Query Generator: Transforms Excel data into accurate SQL queries for faster reporting and analysis.
7. Secure Access & Compliance Layer: Ensures sensitive HR and company data remains protected within internal infrastructure.
8. Unified Chat Interface: Provides a centralized conversational experience accessible across teams and departments.
IV. Results: A high-efficiency AI ecosystem for HR and operations
The internal AI assistant rapidly improved productivity by automating key HR and operational tasks. AI-driven CV summarization and candidate matching cut recruitment processing time by up to 50%, while instant support for SQL generation, Excel automation, and email drafting accelerated data-related work by over 70%. Enhanced NLP and retrieval models also delivered accurate, context-aware answers, speeding up communication across teams.
Built on a secure, domain-trained framework, the system safeguards sensitive HR data and ensures consistent, organization-specific outputs. By automating routine tasks and centralizing information access, the company reduced operational overhead, improved team agility, and increased employee satisfaction through faster, more reliable support.
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