AI-Powered Enterprise Search
Stop Searching. Start Finding.
Take your enterprise search into the age of AI. We’re replacing rigid keyword queries with an intent-driven hybrid search that combines lexical precision, semantic vectors, and LLM-powered answers into a single, unified platform. Your customers can access exactly the knowledge they need in seconds, while your IT department retains full control over compliance, data location, and token costs.
Unified Discovery
searches across fragmented documentation, tickets, wikis, and cloud drives through a single, secure retrieval layer.
Direct Answers
synthesizes complex queries into concise, actionable explanations with direct source citations, eliminating manual browsing.
Natural Dialogue
allows teams and customers to query systems in conversational everyday language without guessing exact keywords.
Secure by Design
strict enterprise data isolation ensures zero model training on your queries and guarantees confidential knowledge stays protected.
A structured path to your Enterprise AI-Powered Search
Groundfog delivers your Enterprise AI Search along a structured, proven roadmap. We are ensuring every investment proves its return before scaling across your estate.
Discovery Workshop
Audit data sources, identify high-impact use cases, and define a business-first implementation roadmap.
Readiness & Proof
Validate semantic retrieval precision and answer quality on your actual data in a contained, low-risk pilot.
Scale & Integrate
Roll out AI search capabilities across your ecosystem, connecting knowledge silos, wikis, tickets, and internal tools.
Managed Service
Continuously optimize answer accuracy, control LLM inference costs, and maintain performance under strict SLAs.
AI Search Discovery Workshop: Assessing Value & Architecture
High-impact AI search starts with business objectives, not technology choices. We bring your key business and IT stakeholders to the same table to define where intelligent search creates the greatest operational and customer value. Starting from your business goals, we conduct an end-to-end status-quo audit of your content quality, data structures, and current search metrics like zero-result queries. A structured gap analysis reveals what is missing for semantic readiness. Finally, we translate these insights into a technology-agnostic target architecture and a phased implementation roadmap.
Duration
1 day on-site
Scope
- Business goal alignment and definition of success metrics
- Stakeholder alignment
- Status-quo audit and gap analysis
Deliverables
- Status-quo and gap report
- Target architecture
- Execution roadmap
AI Search Pilot: Proving Value on Real Data
Prove semantic retrieval performance on your actual enterprise data before committing to a full-scale build. We architect the core technical pipeline, from chunking strategies and embedding model selection to vector database ingestion, within an isolated, secure sandbox. We resolve content hygiene issues that hinder indexing, clarify permission models, and pre-clear GDPR requirements with IT security. Instead of theoretical assumptions, you gain tangible evidence and measurable proof of value.
Duration
3 weeks
Scope
- Technical design, governance, and data preparation
- Sandbox pilot with intuitive SERP UX
Deliverables
- Functional enterprise-grade pilot on your data
- Validated business case with pre-cleared GDPR and IT security governance
Build & Integrate: Enterprise-Wide AI Search Rollout
With the value proven, we scale the solution across your organization. We deploy a core hybrid lexical and semantic search engine on secure cloud infrastructure using Infrastructure-as-Code. We build automated data ingestion pipelines across your systems (like CMS, Jira, and wikis) utilizing top-tier embedding models. To guarantee peak accuracy, we apply LLM-based content enrichment and contextual chunking before indexing, and add a secondary reranking layer. The result is a highly relevant, seamlessly integrated search experience delivered through secure interfaces in modern user experience.
Duration
9 weeks
Scope
- Cloud infrastructure & pipelines
- Contextual processing & reranking
- System integration
- SERP design
Deliverables
- End-to-end integration across disparate data siloes
- AI-enriched vector ingestion pipeline
- Re-designed search experience
Generative AI Search: Conversational Answers & Enterprise Guardrails
Elevate enterprise discovery from document retrieval to direct, conversational intelligence. We deploy specialized, agentic answer layers that synthesize complex cross-system documentation into concise, context-aware answers in real time. To protect your brand and infrastructure, the generative layer operates within ironclad enterprise guardrails: automated filters prevent hallucinations, enforce domain-specific blacklists, sanitize sensitive PII data, and align tone strictly with your brand voice.
Duration
4 weeks
Scope
- Legal, compliance, and privacy alignment
- Agentic summarization engine, enterprise guardrails, and safety protocols
- Automated QA and evaluation benchmarking
Deliverables
- Conversational agentic search
- Enterprise safety and guardrail framework
- Legal and compliance alignment
- AI Brand-voice alignment
- Automated QA & Regression Suite
AI Managed Service: Sustained Performance & Continuous Optimization
AI systems degrade without continuous governance, telemetry monitoring, and model tuning. Our managed service protects search precision, controls cloud compute budgets, and actively prevents model drift and hallucination risks over time. We continuously calibrate safety guardrails, run automated regression benchmarks against your defined Gold Queries, and optimize retrieval pipelines. Every month, leadership receives clear executive reporting documenting retrieval accuracy, operational efficiency gains, and tangible cost savings.
Duration
Ongoing (monthly)
Scope
- Performance tracking, infrastructure and compute optimization
- Guardrail and model calibration
- Executive and stakeholder reporting
Deliverables
- Guaranteed retrieval & reranking precision
- Automated Gold Query regression scorecards
- Optimized cloud & inference footprint
- Monthly executive reporting
Measurable impact across your enterprise
The Enterprise AI-Search is only as valuable as the decisions and actions it accelerates. By bridging intent, accurate knowledge retrieval, and direct conversational synthesis, Groundfog transforms scattered corporate data into measurable business performance—reducing research friction, cutting support overhead, and speeding up customer time-to-value.
70%
Faster Time-to-Answer: employees and customers bypass nested folder structures and find verified solutions in seconds.
3x
Faster Time-to-Value: instant access to the right product documentation and technical specs accelerates successful customer onboarding and product adoption.
100%
Source-Grounded: every generated summary is anchored strictly in approved company documentation with clickable citations, eliminating hallucinations.
0
Data Exposure: isolated cloud environments, role-based access controls, and zero model training on proprietary corporate intelligence.
Turn enterprise knowledge into answers
Bring your search challenge, data landscape and business goals to the table. We’ll identify the right use cases, validate the opportunity and define a clear path to trusted, AI-powered search.
Let's talk!
