Savant Labs

10/21/2026

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10/08/2026

In 2012, a JPMorgan trader in London built a position so large the market nicknamed him "the London Whale." By the time it unwound, the bank had lost more than $6 billion.

When the bank investigated, part of what it found was painfully familiar. The model measuring the risk ran on copying and pasting data by hand from one spreadsheet to the next. One formula divided by a sum where it should have used an average. That cut the measured volatility roughly in half, so the risk looked smaller while the position kept growing.

No exotic math. Just manual steps and a formula nobody caught.

Too many month-end closes still run on the same kind of handoffs. Export from NetSuite, paste into a workbook, run a VLOOKUP and email a file to the next reviewer. Each step is an opening for the numbers to drift.

Savant's native NetSuite connector cuts those steps out. It pulls GL balances and transaction-level detail straight from NetSuite into any Savant workflow, so nothing gets exported, pasted or rekeyed along the way.

Watch the 90-second demo: https://youtu.be/IOe8-rH9bRo?si=k4S_EKbmGIkpHKUE

10/07/2026

A tax manager three days into the Q3 provision asks ChatGPT how a state treats an interest addback. Clear answer in 30 seconds. Then she spends the rest of the week pulling trial balances from two ERP instances, waiting on the fixed asset register, and rebuilding the apportionment workbook because two entities changed their account
structure in August.

The model saved her an hour, but the rest of the week went the way it always does.

86% of tax professionals using generative AI reach for it weekly, but 65% are still running that work through public tools like ChatGPT. ChatGPT is good at the thinking around tax work, like research, summarization, and memo drafting. But it isn't built to produce the numbers. It holds no state across conversations, doesn't know your entity structure, match tolerances, materiality thresholds, or filing calendar, and generates no audit trail.

Where ChatGPT works for tax teams, where it doesn't, and what fills the gap: https://savantlabs.io/blog/chatgpt-for-tax-workflows/

10/06/2026

Are pumpkins food? For tax teams, the question is not as simple as it seems.
In many states, yes. Until someone carves a face into it. Paint it, carve it, or sell it as decor, and the same pumpkin becomes a taxable decoration.

Now multiply that kind of complexity by every product you sell and every state you file in.

Most tax teams already know their rules. The time goes into applying them again by hand every month. Pulling sales data, checking nexus, matching exemption certificates, mapping tax codes, and chasing variances.

Savvy, Savant's AI copilot, handles all of that from one plain-language prompt. It builds the process around your thresholds, your tax codes, and your procedures, writes the whole thing up as an SOP, and the workflow only goes live once your team signs off on it.

Then Savant saves the process as an approved workflow. Each month, every item follows the same rules, so the pie pumpkin and the porch pumpkin each land where they belong, with an audit trail behind the return.

Watch the walkthrough in under two minutes 👉️ https://youtu.be/BZIy422wZCM?si=wTUb2Um9UnA9gpxv

See how Savant’s AI copilot, Savvy, transforms monthly sales tax pr...

09/10/2026

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09/02/2026

Boards now expect audit to weigh in on AI governance, cybersecurity, ESG, and third-party risk, all on top of financial controls and regulatory compliance. 42% of audit teams say they lack the skills to cover those emerging areas. The mandate expanded, but the team didn't.

That usually turns into a headcount conversation. But when you look at where the hours actually go, the picture changes.

Before any testing begins, someone has to pull one dataset from the ERP, another from a reporting export, track down a key document buried in email, and clean up support files that arrived late or in the wrong format. Senior auditors get pulled into that coordination because they know what the evidence should look like.

Planning slows down without a clean view of the data. Fieldwork slows down chasing support. Reporting slows down reassembling everything into something defensible.

One engagement running late is manageable. Across a full annual plan, that friction becomes a structural capacity problem.

Here’s what useful automation looks like in audit, and why lineage and traceability are non-negotiable: https://savantlabs.io/blog/ai-audit-automation/

08/27/2026

The tax landscape is evolving rather quickly. Rules are tightening, reporting is moving closer to real time, and expectations keep climbing.

Legacy tax models cannot absorb this pressure. Spreadsheet handoffs break lineage at every touch. Fragmented tax code libraries mean identical transactions resolve differently across systems. Evidence assembled weeks after the fact arrives too late to matter.

In this environment, seven key questions will determine how your tax function performs in 2026 and beyond.

We built The 2026 Tax Leader Decision Map around the seven questions that actually change outcomes, from external forces and operating model design through funding modernization on a flat budget and governing agentic AI in production. Each one comes with concrete next steps you can put on a 90-day plan.

Are you on the right path?

https://savantlabs.io/ebook/2026-tax-leader-decision-map/

08/25/2026

373 Chief Audit Executives told the IIA they need more resources.

The 2026 Pulse numbers are blunt. Those reporting insufficient funding climbed from 22% to 30% in a single year. 18% of functions cut staff, matching COVID-era levels.

At the same time, scope went the other direction. 86% of CAEs now own at least one area outside internal audit. 47% run fraud investigations. 34% own enterprise risk management. In public companies, 80% carry the SOX program.

What the Pulse report never counts is the operational overhead underneath it all. Pulling extracts, normalizing formats, chasing documentation, reconciling the same population across three systems before anyone can test a single control… That work consumes real capacity every quarter.

Hiring is the expensive, temporary answer. The more effective move is automating these processes as governed workflows with deterministic logic and full lineage, built to survive review rather than explain itself afterward.

The capacity is already sitting in your function. It’s just buried in manual data work.

Read the full breakdown: https://savantlabs.io/blog/internal-audit-resource-gap-2026/

08/18/2026

🏆 Savant Racks Up Nine Wins in G2's Summer 2026 Reports

Savant earned Momentum Leader, High Performer, and Easiest To Do Business With badges across multiple categories in G2’s Summer 2026 reports.

The recognition validates what we’re building for finance teams: AI automation they can trust with critical work.

With Savant, finance teams can bring AI into close, tax, and reporting workflows without giving up human review, control, or auditability.

Fast AI is everywhere. Auditable AI is the standard that matters.

See what Savant can do for your finance workflows → https://savantlabs.io/book-a-demo/