We audit your existing document estate, identify the highest-value knowledge sources, define access governance requirements, and establish the accuracy baselines the assistant must meet before any build work begins.
RAG & AI SPECIALISTS
Turn Your Corporate Knowledge Into an Intelligent, Searchable Assistant
Every organisation accumulates years of institutional knowledge in documents that are difficult to search and even harder to share. Technical PDFs, legal contracts, product catalogues, compliance manuals, and years of customer correspondence sit in shared drives and email threads, effectively inaccessible to the people who need them most. Retrieval-augmented generation solves this by connecting a large language model directly to your private document library, enabling staff to ask questions in plain language and receive precise, cited answers drawn from your actual source material, not from a public internet corpus that has no knowledge of your business.
Skript Digital builds corporate AI assistants that operate entirely within your secure infrastructure. Deployment options include isolated AWS VPC environments, private cloud infrastructure via Virtuozzo PaaS, and on-premise hardware for organisations with the most stringent data residency requirements. Every system is built with role-based access controls from the start, meaning an employee in one department cannot query documents they are not authorised to see, and a full immutable audit log records every question asked and every document accessed by the assistant.
The commercial impact is immediate and measurable. Sales teams get accurate product specification answers in seconds rather than hunting through shared drives. Support teams resolve complex technical queries without escalating to senior engineers. Operations teams can interrogate contract terms and compliance obligations without reading every document manually. Skript Digital handles the full delivery, from document ingestion architecture and vector database configuration through to the assistant interface, access governance, and ongoing accuracy monitoring, ensuring your corporate knowledge base remains a live, reliable resource as your business grows.
The RAG & AI Infrastructure We Build With
We build corporate AI assistants on proven large language model, vector database, and secure deployment platforms that keep your data private and your answers accurate.
WHY IT MATTERS
Why a Private AI Assistant Matters for Your Business
Corporate knowledge locked in documents costs time, slows decisions, and walks out the door when key people leave. A private AI assistant makes it permanently accessible.
Private Knowledge Base Security
All proprietary data remains within your secure environment, with no queries or documents sent to public AI models at any point.
Precise Cited Answer Retrieval
Every answer includes a direct link to the source document, so staff can verify accuracy and leadership can trust the output.
Flexible Secure Deployment
Choose isolated cloud, private cloud, or on-premise deployment to match your data residency and sovereignty requirements.
Institutional Knowledge Accessibility
Years of siloed expertise become searchable in plain language, making every team member as informed as your most experienced specialist.
Immediate Efficiency Gains
Sales, support, and operations teams get answers in seconds rather than hours, eliminating the bottleneck of escalations to senior experts.
Reduced Expert Dependency
Critical knowledge is no longer locked in individual heads, giving every team member instant access to the expertise your business depends on.
WHAT WE DELIVER
Our RAG & AI Assistant Services
Custom RAG Model Development
- Designing retrieval pipelines that combine semantic search with generative AI for context-aware, accurate answers
- Engineering vector databases using Amazon OpenSearch or Pinecone to index your unique corporate knowledge at scale
- Fine-tuning large language models to understand your specific industry terminology and internal company jargon
- Implementing source attribution so every AI answer includes a direct link to the original reference document
Enterprise Knowledge Ingestion & Sync
- Automating ingestion of complex formats including technical PDFs, Word documents, PowerPoints, and multi-tab spreadsheets
- Utilising sync agents that monitor internal folders and automatically index new or updated files in real time
- Cleaning and structuring unstructured data, including table extraction and OCR for scanned physical documents
- Building data connectors for Google Drive, SharePoint, and Slack to unify fragmented corporate information sources
Secure Private & On-Premise Deployment
- Deploying isolated AI instances on AWS VPC or Virtuozzo PaaS to ensure zero data leakage to public AI models
- Configuring on-premise hardware solutions for organisations with the most stringent data residency requirements
- Implementing field-level encryption for all data at rest and in transit within your private RAG environment
- Providing air-gapped deployment options for high-security sectors including banking, legal, and government
Agentic Workflow & Logic Integration
- Developing multi-agent systems where separate AI agents handle research, summarisation, and data extraction tasks
- Building plan-refine-reflect workflows that allow the assistant to verify answers against source material before responding
- Integrating the assistant with internal APIs to enable real-time actions such as checking CRM status or stock levels
- Engineering human-in-the-loop validation for sensitive outputs including legal contract summaries and technical SOPs
Access Governance & Audit Logging
- Implementing role-based access control to ensure employees only query documents they are authorised to access
- Maintaining full immutable audit logs of every question asked and every document accessed by the AI assistant
- Integrating with existing SSO providers including Okta and Azure AD for seamless user management and onboarding
- Setting up automated redaction layers that strip sensitive PII from documents before processing by the language model
Operational Analytics & ROI Monitoring
- Providing dashboards that track time savings achieved by staff using the AI assistant for research and drafting
- Monitoring groundedness scores to ensure the AI remains faithful to your documents and never hallucinates facts
- Analysing common query patterns to identify gaps in current corporate documentation or internal training materials
- Delivering monthly strategy reports on system usage, accuracy rates, and infrastructure cost optimisation
OUR PROCESS
From Knowledge Audit to a Live, Accurate AI Assistant
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1
Knowledge Audit & Scoping
2
Architecture & Security Design
We design the retrieval pipeline, vector database configuration, deployment environment, and role-based access control framework, selecting the right combination of LLM, embedding model, and infrastructure for your data sovereignty requirements.
3
Build, Ingest & Test
We build the ingestion pipeline, index your document library into the vector database, configure the assistant interface and API integrations, and run structured accuracy testing against real questions from your team before go-live.
4
Deploy, Monitor & Optimise
We deploy the assistant into your secure environment, activate monitoring dashboards and groundedness scoring, onboard your team, and deliver ongoing management including document re-indexing, model tuning, and monthly ROI reporting.
RAG Systems We Have Built and Deployed
Explore how Skript Digital has built private AI assistants that surface accurate answers from corporate document libraries for businesses across legal, eCommerce, and enterprise operations.
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COMMON QUESTIONS
Your RAG System Questions, Answered
Have more questions about corporate AI assistants, data security, or deployment options? Our team is happy to advise, reach out and we will respond within one business day.
WHY SKRIPT DIGITAL
Private AI Assistants Built for Enterprise Security and Accuracy
Skript Digital builds corporate RAG systems that are production-grade from day one, combining security-first architecture with the accuracy monitoring and ongoing management your business needs.
Security-First Architecture
Every assistant is built with private deployment, role-based access control, and full audit logging from the first line of code.
Accuracy You Can Verify
Source attribution and groundedness scoring ensure every answer is traceable to a real document, eliminating hallucination risk.
Quantified ROI Reporting
Monthly reports translate assistant usage data into clear time-saving metrics that justify the investment to leadership stakeholders.
Long-Term Knowledge Partner
Ongoing managed services include document re-indexing, model tuning, and new capability development as your knowledge base grows.
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Ready to Make Your Corporate Knowledge Instantly Searchable?
Book a free RAG system consultation with our team. No obligation, just clear advice on how a private AI assistant could work for your documents and your team.