AI Knowledge Assistant
Deploying Retrieval-Augmented Generation (RAG) for regulated & document-heavy industries.
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- AI answers
- Knowledge retrieval
- Regulatory compliance
- Document indexing
- Audit-ready
- Custom integrations
- Fast onboarding
- Role-based access
We don’t just build software — we engineer domain-specific AI that cuts support costs by up to 40% while meeting the strictest security and compliance so you can operate with confidence and ease.
Maksym Yevsiukov
Head of CodeIT AI EDU
Current State: Progress slowed by document chaos
Unlock instant, context-aware answers from your own documentation with a custom RAG system, designed to eliminate these common challenges:
Manual Search
Fragmented PDFs, Word docs, and spreadsheets force employees to waste hours looking for answers.
Lost Knowledge
Without centralized storage, critical expertise gets buried and forgotten.
Regulatory Updates
Compliance requires constant manual review, draining resources.
Slow Onboarding
New hires struggle to find guidance, delaying productivity.
Risk of Error
Manual workflows increase mistakes and inconsistencies.
Search Limitations
Keyword-only search frustrates users and slows decision-making.
The next step: turning scattered files into structured, compliant knowledge.
Our AI Knowledge Assistant — Purpose-Built for Regulated Industries
Custom AI Document Management System powered by RAG. It transforms all your documents into a centralized, fully searchable source of verified knowledge — accessible instantly, with full references to the original sources.
AI-Powered Search with Citations
Instantly retrieve SOPs, policies, contracts, and manuals with full context and source references.
Automated Compliance Validation
NLP-driven checks against GxP, FDA 21 CFR Part 11, HIPAA, GDPR, and EMA guidelines — reducing compliance errors to near zero.
Seamless Enterprise Integration
Works with SharePoint, Veeva, Google Workspace, MasterControl, or your custom systems.
Centralized Knowledge Base
Gives your team one secure source of truth by unifying EDMS, QMS, RIMS, and regulatory documentation into a single repository.
Role-Based Access & Security
Granular controls to ensure the right teams access the right content.
Self-Hosted or Private Cloud
Full data ownership and no dependency on external APIs like OpenAI.
Need expert advice?
We’re ready to help!
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Worktime Saved by Automating Repetitive Tasks
30%
Reduction in Analytical Workload
50%
Faster Inquiry Response Compared to Human Agents
90%
Smarter workflows with RAG knowledge assistant
Put your documentation to work with RAG features that help find the required information in seconds, with key features that include the following.
Quickly find relevant information with full access to original files. Every document and its contents are indexed for instant retrieval.
Centralize your documents, control access by role, and eliminate information silos for greater transparency and efficiency.
Easily integrate RAG-powered documentation management with tools like Veeva, MasterControl, Google Workspace, and SharePoint.
Get quick, accurate answers from your internal documentation with a smart assistant that understands context and provides step-by-step guidance.
Automate regulatory analysis and documentation comparison to keep every workflow fully compliant with the latest requirements.
Run your RAG solution entirely within your infrastructure, ensuring full data privacy, top-tier security, and independence from external providers.
Simplify operations by automatically applying pre-approved content, ensuring speed, consistency, and accuracy.
Ensure your data is relevant and up-to-date with regular audits. All actions are recorded, and an audit trail is generated automatically.
Maintain 100% transparency and consistent knowledge with version control, revision tracking, and change comparison tools.
Bring together knowledge from PDFs, DOCX, XLSX, HTML, and multilingual files, regardless of source or format.
- AI answers
- Knowledge retrieval
- Regulatory compliance
- Document indexing
- Audit-ready
- Custom integrations
- Fast onboarding
- Role-based access
Real-World Results
Work with experts who’ve built and launched real AI-powered knowledge management tools. See how our solutions perform in practice.
Automated Clinical Research Assistant (Pharmaceuticals / USA)
Problem:
Medical staff spent hours manually searching for up-to-date research and treatment recommendations. Physicians struggled to stay current, which delayed decision-making and affected treatment justification.
Solution:
We implemented a RAG model with access to PubMed and internal databases. Built on AWS Bedrock, the assistant parses patient histories daily and generates personalized clinical digests for morning rounds. Features included digest delivery, doctor-facing chat, admin panel, feedback and analytics, and secure data source integrations.
Result:
- 40% reduction in preparation time
- +30% physician engagement and improved accuracy of recommendations
- Fewer prescription errors and stronger physician trust
- Doctors quickly reported the system’s absence when disabled — a clear validation of its value
Drug Discovery Acceleration with In-House RAG Platform (Pharmaceuticals R&D / Germany, USA)
Problem:
R&D teams had to navigate a fragmented knowledge base of over 500,000 documents. Hypothesis testing and compound analysis were slow and resource-intensive.
Solution:
We developed a self-hosted RAG assistant combining internal reports, PubChem, and scientific literature. The system used a fine-tuned LLM trained on pharma terminology, delivered answers with citations and reasoning, and provided admin tools for data, model, and user management.
Result:
- Analytical workload reduced by 50%
- Hypothesis validation time cut from 4 hours to 1.5
- Improved confidence in results
- Client feedback: “The assistant understands our data better than most new employees.
AI Assistant for Pharma Distributors (Pharmaceutical Distribution / USA)
Problem
Medical representatives could not respond promptly to physician inquiries about drugs and interactions, resulting in delays and reduced trust.
Solution:
We built a domain-specific RAG bot trained on the distributor’s product manuals, integrated with VIDAL and RxList. Available via web and Telegram chat, the assistant provided 24/7 access to cited answers with direct source links.
Result:
- 45% reduction in call center workload
- Physicians received 90% of responses faster than human agents
- Increased trust and measurable conversion growth
- Client feedback: “The bot responds to 90% of inquiries faster than a human agent.
Let’s identify how RAG can optimize your document workflows.
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RAG solutions customized for your industry
Get a smart knowledge management and retrieval solution that is perfectly refined for tackling industry-specific challenges.
Pharma/Healthcare
Securely access research data, patient records, and other sensitive information. Instantly retrieve SOPs, clinical protocols, and operational instructions. Ensure 100% compliance with automated monitoring and an audit-ready infrastructure.
Legal/InsurTech
Empower your legal specialists with tools that automate contract review, simplify policy searches, and surface internal case knowledge in seconds—removing the need for manual research and boosting efficiency firm-wide.
Manufacturing
Modernize your shop floor with an AI assistant that walks workers through every step. No paperwork, no manual reviews, just efficient, shop-floor-ready guidance.
Real Estate
Automatically process and analyze land leases, deeds, technical documents, and other property-related files. Use AI-driven pre-assessment to evaluate hundreds of factors influencing market demand and pricing.
Telecommunication
Guarantee full compliance with industry regulations, internal standards, and tailored instructions across every department. Automated guidance and real-time validation help teams follow the right process at the right time.
EdTech
Develop advanced systems that deliver student-tailored content, adapting to individual learning progress. Seamlessly manage a wide range of custom learning materials, including courses, tests, policy handbooks, and supplementary resources.
Scalable plans for every stage
Custom knowledge management solutions designed to fit your business. Choose the package that works best for you.
Initial consultation
Duration: Up to 7 business days
Cost: Free
Book a free consultation with CodeIT. Our experts will dive deep into your project needs and propose the best-fit solution—built around your goals.
Proof of Concept (PoC)
Duration: 2-6 weeks
Cost: $10k–15k
Develop a practical concept to validate your business idea and evaluate how a knowledge management solution performs in real-world conditions. This early-stage approach allows you to identify potential risks, gather user feedback, and ensure the solution aligns with your operational goals before scaling further.
Minimum Viable Product (MVP)
Duration: 2-3 months
Cost: $50k–70k
Build a minimum viable product (MVP) that comprises a set of core features for launching your solution in a real-life environment. Collect feedback and release improvements in the next iterations.
Custom solution development and deployment
Duration: Custom
Cost: Request a quote
Develop and deploy a fully customized, production-ready solution tailored to your organization’s needs. The full rollout includes advanced features, complete integrations, and enterprise-grade infrastructure.
Maintenance
The CodeIT team offers a comprehensive suite of after-development support services, including but not limited to:
- Performance monitoring and optimization
- Maintenance and support
- Technical issue troubleshooting
- Change request analysis and implementation
- User training and learning material creation
FAQ
No—it’s more secure, more focused, and fully customized.
The self-hosted architecture ensures no data is sent to the servers of a third-party organization for further processing.
It supports role-based access, audit logging, and compliance with GxP, HIPAA, GDPR, and FDA 21 CFR Part 11. Every document remains in your infrastructure, and all actions are tracked for full transparency and accountability.
Moreover, the CodeIT team can implement additional security measures like data anonymization, encryption, multi-factor authorization, and more.
The RAG knowledge and retrieval system indexes all your documentation, regardless of format (PDF, DOCX, XLSX, HTML, etc.) and provides instant context-aware answers.
It eliminates the need to use isolated software solutions with limited functionality for documentation management.
Both are secure—your choice depends on control and scalability.
- On-Premises: Full ownership of infrastructure and data.
- Cloud (AWS or similar): Lower setup costs, zero maintenance hassle, and easy scalability.
Most systems go live in 2 to 6 weeks, depending on your project scope.
We offer flexible delivery options:
- Discovery: Free, up to 7 business days
- Proof of Concept (PoC): 2–6 weeks
- Minimum Viable Product (MVP): 2–3 months
- Full Rollout: Custom, depending on your needs
Pricing depends on the stage and complexity of the solution:
- Discovery Phase: Free
- PoC: $10k–15k
- MVP: $50k–70k
- Full Custom Solution: Based on your specific needs
The return on investment (ROI) strictly depends on the size of a team and the compensation of employees, making it a solution that pays itself off in 3.3 to 11.5 months.
The key measurable benefits include:
- 30% reduction in work time by eliminating repetitive tasks
- 50% decrease in analytical workload through intelligent search
- 90% faster inquiry response times compared to manual processes