Data your agents can actually use.
Whatever condition it's in.
We turn documents in any condition, language or size into structured, verified knowledge that agents can search, reason over and act on.
Five layers, from raw document to trusted knowledge
Ingest
OCR and cleanup for documents of any quality
Multilingual and mixed-script content
Structure
Parsing into hierarchical, schema-driven JSON
Batch processing that keeps cross-references intact
Extract & enrich
Obligations, tasks and entities across large archives
Enrichment with reference data
Retrieve
Fast retrieval across millions of documents (OpenSearch)
Index sharding built for enterprise scale
Assure
Multi-LLM evals with human feedback loops
Secure, cost-aware LLM orchestration
Built for the documents other tools skip
Documents we work with
Real enterprise records, not clean demo files.
- Scanned, faxed and handwritten records
- Regional and mixed-language documents
- Very long contracts, regulations and policies
What you get
Outputs your agents and teams can rely on.
- Structured JSON with source traceability
- An enriched, searchable knowledge base
- Per-batch accuracy reports against agreed targets
Agent-ready data is never a one-time project
Go deeper on agent-ready data
From raw data to trusted AI agents
Most AI agents fail long before the model is chosen. They fail on documents nobody can read reliably, on answers nobody can check, and on systems nobody is watching after launch. Our guides follow the same four steps we use with clients: get the data ready, build the agent, prove it is safe, and keep it running.
Start here: why AI agent pilots fail to reach production, and how long it takes to build an AI agent.
Ready: make your data agent-ready
- How to extract data from large, complex documents with AI: turn long, messy documents into structured, source-linked data.
- Why customers drop off in onboarding and payment: join website and back-end data to find the real cause.
- How to extract data from handwritten forms: read forms field by field and review only the unsure ones.
- AI loan processing: bank-ready proposals from a borrower’s document pile.
- Bank statement analysis with AI: extraction, balance checks and cross-checks.
- AI autocomplete for domain-specific search and forms: type-ahead that knows your codes and product names.
Orchestrate: build agents that work
- Commercial vs open-source LLMs: API, Bedrock, your own GPUs or a data centre.
- How to build an AI chatbot that reasons: hybrid RAG explained simply.
- GraphRAG vs hybrid RAG: when your questions need a knowledge graph.
- Chatbot or voice bot?: choosing the right channel for your customers.
- How to build an AI voice agent for after-hours support.
- AWS vs Azure vs Google Cloud for AI agents.
- How to connect AI agents to legacy systems that have no API.
- Automate invoice processing with AI agents: a CFO guide.
- AI resume screening: faster shortlists, fairer hiring.
- How to match resumes to job descriptions with LLMs.
- AI notes for in-person meetings that track follow-ups.
- Text-to-SQL AI agents: let your team query data safely.
Assure: prove it is safe and accurate
- How to test AI agents: a QA framework, process and toolkit.
- How to stop AI agents from making things up.
- Human in the loop AI: when an agent should ask a person.
- AI agent permissions: giving agents access to your systems safely.
- Is it safe to connect AI to your email and Drive? What admins should check first.
- Generate test cases from requirements with AI agents.
Sustain: run agents and control cost
- DevOps for AI agents: ship and run agentic AI in production.
- What it costs to run an AI agent in the cloud.
- How to reduce Claude Code costs.
- AI in operations: how automation lets ops teams do more with less.
Not sure where to start? An SHVX assessment reviews your data, use case or agent and gives you a written recommendation and a next step. Book an assessment or write to info@shvx.in.
See how agent-ready your data is today
Our readiness assessment scores your documents against what your agents need, and gives you a pilot plan you keep either way.