80% of all business information today lives in unstructured text. Contracts, drilling reports, invoices, tax filings, certificates — documents that pile up across shared drives, email inboxes, and filing cabinets, locked away from the systems that could actually use them.
For most organizations, “processing” these documents still means someone printing them out, reading through them, and manually entering the relevant data somewhere else. It’s slow, expensive, and error-prone — and it only gets worse as document volumes grow.
With our latest Brickbuilder, this is the problem Lovelytics built DocInsights to solve.
The Hidden Cost of Unstructured Documents
The business impact of document-heavy workflows goes far beyond inefficiency. It shows up in real dollars:
- Delayed decisions — When analysts spend hours extracting data by hand, leadership is making calls on stale information.
- Runaway labor costs — High-volume document processing is often done by skilled professionals who should be doing higher-value work.
- Compliance and audit risk — Manual extraction is inconsistent. Without a clear chain of custody from source document to structured data, proving accuracy under audit is a challenge.
- Missed insights — Patterns locked in PDFs never make it into dashboards. The institutional knowledge sitting in years of archived documents stays invisible.
For industries like energy, manufacturing, financial services, and legal, these aren’t edge cases. They’re daily operational realities.
How DocInsight Works
DocInsights is a Databricks-native accelerator that automates the full journey from raw document to structured, analytics-ready data — without any data ever leaving your environment.
Built on Databricks’ ai_parse_document functionality and Agent Bricks, DocInsights handles three core steps that organizations typically struggle to automate:
1. Document Digitization Scanned PDFs and image-based documents are converted into high-fidelity Markdown, a format that modern AI models can reliably read and reason over. This step alone eliminates the most common bottleneck in document workflows: getting the content off the page and into a machine-readable state.
2. Automatic Extraction and Classification Once digitized, DocInsights runs classification and entity extraction across every page — pulling out the fields, tables, and terms that matter for your specific use case. The extraction logic is fully customizable, so you’re not adapting your business to a rigid template; the template adapts to you.
3. Secure, In-House Processing Everything happens inside your Databricks environment. No data is sent to third-party servers. No proprietary information leaves the premises without your explicit consent. For regulated industries, this isn’t a nice-to-have — it’s the only acceptable model.
The result is a production-ready application with a built-in review and approval workflow, a document Q&A interface powered by Databricks Genie, and a Delta Lake data layer ready for downstream analytics.
What This Looks Like in Practice
DocInsights has been deployed across industries at several clients. Here are three examples of what it’s delivered.
From Manual Reports to Real-Time Decisions
An energy company’s drilling and completion operations generate a continuous stream of daily operation reports — arriving as unstructured PDFs from dozens of operators, each with a different format. The lack of standardization made manual extraction incredibly time-consuming, and by the time data made it into analysis, it was already hours old.
Lovelytics deployed DocInsights to automate the extraction of critical fields from these reports using Agent Bricks and ai_parse_document, with Databricks handling subsequent processing and visualization. The outcomes were immediate:
- 4X acceleration in decision-making speed
- 80% reduction in labor costs associated with document processing
- New analytical capabilities that were simply impossible when data lived in PDFs
What had been a daily bottleneck became a background process. Operational teams could focus on what they do best – not on data entry.
Agreement Intelligence: Turning Contracts Into a Competitive Advantage
Client agreements are rarely a single document. They’re stacks of contracts, amendments, and renewals spanning years. For a railcar company, managing complex commercial relationships, extracting and analyzing current terms at scale required expensive external legal resources – and still took too long.
Lovelytics built an end-to-end contract analytics platform on top of DocInsights that digitizes PDFs, sequences documents chronologically, extracts key terms, and surfaces recommended redlines — turning static agreements into living, searchable intelligence.
The financial impact:
- $1M reduction in external legal review fees
- $1–2M revenue uplift from faster contract and deal velocity
- $750K in reduced maintenance costs from proactively identifying hidden risks and obligations
The value wasn’t just in the cost savings. Leadership finally had visibility into their full contract portfolio – not just the deals on someone’s desk.
Tax Filing Automation: Speed and Accuracy at Scale
One of the earliest DocInsights deployments tackled Value Added Tax reconciliation – a process that required extracting data from a high volume of financial documents and cross-referencing it against reporting requirements. Manual processing meant long cycle times and a constant risk of error.
DocInsights automated the extraction and classification pipeline, reducing cycle time significantly and improving accuracy. The same pattern — ingesting documents, extracting structured fields, loading into a governed data layer — has since been applied to certificate reconciliation workflows involving documents in more than 12 different languages.
The Accelerator Advantage
What makes DocInsights different from building a custom document processing solution from scratch is the time it saves getting to production.
A ground-up build of a robust, secure, AI-powered document processing platform typically takes six months or more. DocInsights compresses that to 12–16 weeks – including business alignment, environment setup, customization for your specific document types, user acceptance testing, and workflow integration.
The starting point is a complimentary half-day discovery workshop. Lovelytics maps your document landscape, identifies your highest-value extraction use case, and defines success criteria together with your team. No cost, no commitment — just a clear scope and deployment plan before anything else begins.
Ready to Unlock What’s in Your Documents?
If your team is manually processing documents — or if you’ve
written off automation because past attempts felt too complex —
DocInsights is worth a conversation.
Contact us to learn what DocInsights could do for your organization.
