Docs In, Decisions Out.
Welcome to the Intelligent Enterprise.

I’m excited to share the news about our Fall Release and some of the thinking behind our agentic strategy. We don’t build and engineer for development’s sake — we’re taking on the challenge of analyzing unstructured data. The vast majority of a company’s knowledge doesn’t live in databases or warehouses, but in PDFs, documents, contracts, statements, scans, decks, and emails. It’s where real business happens: invoices that trigger payments, contracts that define revenue, statements that anchor audits, and so much more. Yet, for years, all of that information has been invisible to analytics, trapped in documents and detached from decision systems.

That’s the gap Savant’s latest Fall Release closes. We’ve built a way to turn unstructured knowledge into structured, governed, and analysis-ready data your business can actually automate and operationalize. Now, every document can feed directly into your business workflows, powering automation, insight, and action.

This is where analytics meets intelligence.

How Savant Makes Unstructured Data Operable

Instead of searching through mountains of files, manually uploading documents, and chatting with an LLM every time you need to answer one question or extract one insight, Savant now offers intelligent agents that understand documents, transform data, structure the facts, match messy records, and push decisions into your systems, all with human-in-the-loop controls.

Vision Agent for PDFs and Images

Savant’s Vision Agent reads PDFs, images, and scans like a person; it can understand text, tables, numbers, charts, and more, and transforms them into clean, analysis-ready data. Vision adapts across invoice layouts, bank statements, contracts, and financial reports, turning what used to be hours of manual extraction into seconds of reliable automation. No OCR templates. No regex scripts. No brittle logic that breaks the moment the format changes. Every transformation is logged, and values are tied to page-level citations, so you can audit and trace everything back to the original source. 

Fuse Agent for AI Matching

The Fuse Agent revolutionizes frustrating, sound-based fuzzy matching with powerful, AI-driven contextual understanding. With a human-like understanding, it links related concepts like “Google” and “Alphabet Inc.” that traditional fuzzy matching never could, and it does this without requiring any threshold tuning or rules. It’s zero configuration and self-learning, automatically handling acronyms, typos, abbreviations, and local naming quirks. Fuse doesn’t guess; it reasons, using semantic and relational context to unify data at enterprise scale.

Agentic Orchestration Built for Analytics

Automation is only as powerful as its orchestration layer. Savant’s agentic framework coordinates every step of the process to deliver true end-to-end automation rather than a collection of one-off chat prompts. You’re no longer the automation around chat — Savant is the automation around your agentic processes. Each agent runs as part of a governed, repeatable flow that can handle thousands of records and multi-page PDFs in a single run. Batching, caching, and compression in the run engine reduce token usage by 60-90% at enterprise scale, cutting processing costs without compromising accuracy. This means faster cycles, lower compute costs, and automation that’s intelligent and accountable.

Human-in-the-Loop Governance

Every Savant workflow operates with page-anchored evidence, versioned lineage, and configurable approval steps that keep humans involved where judgment matters most. Each automated action can be traced back to its source, complete with contextual metadata and timestamps. Cost thresholds and usage policies help stay within budget, while automated logs simplify compliance checks. And because Savant is LLM-agnostic, you can bring your preferred model — OpenAI, Anthropic, Gemini, or a private deployment — and still retain full control over data, permissions, and security. You can even swap out models later without rebuilding from scratch. IT keeps its model strategy; the business keeps its agility.

Together, these advances redefine what analytics automation means. More than just faster answers, its real value now lies in governed, end-to-end decision flows that turn once-invisible data into measurable outcomes.

From ‘That’s Not Data’ to ‘Docs In, Decisions Out’

I recently had the chance to show an analyst a preview of Savant’s new release. Before the demo, he swore he had no work use cases for PDFs. Just a few minutes later, he listed five off the top of his head. When documents become programmatic, imagination explodes!

The pattern is simple:

1. Extract data from PDFs and scans with page anchors
2. Match and enrich across messy systems
3. Validate the data and flag any issues for human review  
4. Route exceptions for approval
5. Post results back to ERP/CRM/data platforms
6. Ship an audit pack with line-item provenance

The loop of evidence → decision → proof is the difference between AI that answers and AI that closes. 

Enterprise Impact in Finance and Beyond

The biggest impact of this release shows up where accuracy and accountability matter most: finance, tax, and accounting. From reconciliations to consolidations, every process that once depended on manual work and spreadsheet macros now runs as a governed, evidence-backed flow that’s faster, cleaner, and auditable. 

Financial Reconciliation and Audit Readiness

Bank and card activity typically arrives as PDFs, leaving analysts to copy data into spreadsheets, chase exceptions, and rebuild evidence for auditors. Now, agents extract transactions, auto-match to the GL, and route edge cases to humans, all while generating an audit-ready evidence pack with page-level anchors. Teams will have drastically less manual work, faster closes, and cleaner audits. 

Multi-Entity Consolidation

Local teams often submit trial-balance PDFs and statutory packs that don’t align. Vision Agent reads the packs, Fuse Agent maps local accounts to the corporate CoA, and the flow proposes eliminations with complete audit logs before posting consolidated JEs back to the ERP, shortening the consolidation cycle by days. 

Accruals (Unbilled and Period-End)

Unbilled activity and period-end accruals live across invoice PDFs, delivery notes, and usage reports — a nightmare to reconcile manually. Savant agents extract the supporting evidence, match it to POs and budgets, propose accrual amounts with confidence scores, and schedule reversals. The result: faster cycles, fewer reversals, and complete audit trails for every entry.

Royalties, Tax, and Compliance

Royalties and tax processes rely on contracts, partner statements, and jurisdictional rules that rarely share a common format. Savant’s agents can read and interpret these documents, apply tiers and caps, reconcile payouts, and generate audit-ready reports. In complex, multi-jurisdiction environments, this cuts significant effort and can eliminate hundreds of thousands of dollars in potential penalties.

Finance may be where the impact is most measurable, but the same principles apply across every data-driven function. When unstructured data becomes structured intelligence, the ripple effects touch risk, procurement, compliance, and even customer operations.

• Supplier risk: Unify messy supplier identities and tie SOC2/ISO PDFs, COIs, and SLAs to page-anchored proof, making third-party risk instantly visible.
• Contract review: Pull obligations, renewals, and risky clauses from long contracts and track them with citations, so you never miss a renewal window again.
• Invoice processing and spend: Extract line items, standardize vendors and SKUs, and post categorized spend data directly to ERP dashboards — better control, no added headcount.
• Customer 360: Recover identifiers hidden in PDFs and apps, then match and standardize them to build a single, trusted customer record across systems.

Across functions, the pattern holds: every process that once depended on static documents or human verification becomes a living, automated workflow — traceable, governable, and scalable.

The Control Layer Documents Always Needed

Savant’s latest release enables businesses to fundamentally change how they think about and utilize their data. For years, business and functional leaders made critical decisions using a fraction of the information available because the rest lived in documents no system could process at scale. 

Now, those documents become structured, governed data, and decisions come with receipts. Every workflow has traceable logic, and every outcome is tied to evidence. You have a stable system capable of repeatable executions, backed by intelligent error handling and memory, delivering consistent results you can rely on. That’s what makes it safe and practical to automate real financial and operational work: closes, consolidations, payouts, audits, compliance checks, and much more. Better yet, everything is audit-ready and SOX-friendly out of the box.

For the first time, automation isn’t a set of disconnected scripts or LLM prompts, but a coordinated network of intelligent agents operating inside governed workflows that scale across teams, functions, and data types. This is the new standard for intelligent automation, where accuracy and speed reinforce, not compete. Docs in, decisions out. No knowledge is out of bounds, and no action is uninformed. Welcome to the intelligent enterprise. 

That’s enough talk; now, it’s time for action. Bring us a handful of your real PDFs and scans — statements, trial balances, contracts, etc. — and watch with your own eyes as Savant turns them into evidence-anchored results, matched and posted where they belong, all within minutes.