Savant Labs

AI Automation Platform for Critical Data Workflows

Savant Labs empowers analysts to expedite answers from modern data sources and modern SaaS applications with drag-and-drop no-code, low-code analytics automation and generative AI. The analytics automation is visualized in an intuitive workflow that combines dataflows and analytics flows and uniquely combines analytics bots. Organizations can leverage Savant's pre-build analytics automation apps a

nd solution workflows or build their own while also leveraging the power of AI for further automation.

06/15/2026

Tomorrow, AI in finance finally becomes trustworthy, defensible, and auditable.

Watch live as we build a governed finance workflow starting from just a plain-language prompt. No pre-built demo, no scripted walkthrough.

You'll see AI go from conversation to deterministic ex*****on, with data lineage, human-in-the-loop review, approvals, and audit-ready evidence auto-generated as the workflow runs.

If you’ve been trying to get AI past email drafts and into the workflows that actually drive ROI, this is 45 minutes worth blocking.

📅 Tomorrow, June 16 | 12 PM PT / 3 PM ET | 45 min

https://buff.ly/O11JomI

06/11/2026

Finance teams have been using AI for over a year now. They've gotten faster at writing memos, cleaning data, building presentations…

But the moment you ask AI to touch a reconciliation, produce a journal entry, or generate a number that ends up in a filing, everything changes. Now, someone's name is on it. Auditors will ask how it got there, and "the AI figured it out" is not an acceptable answer.

The trust gap in finance AI has little to do with intelligence. It's about whether you can see what the AI did, reproduce the output, and defend it when questioned.

On June 16, Savant is demonstrating governed AI that closes that gap. Full visibility. Full traceability. Deterministic workflows.

📅 Tuesday, June 16 | 12 PM PT / 3 PM ET | 45 min

https://buff.ly/h9Ahkl1

06/10/2026

Audit teams are asked to cover more ground every year while budgets move in the opposite direction. The 2026 IIA Pulse puts numbers to this: Funding sufficiency dropped from 53% to 45% in one year. Meanwhile, 86% of CAEs are running fraud, ERM, ethics, or SOX programs on top of the full audit plan.

The Pulse frames this as a headcount problem. But we say, look closer, and it's actually a workflow problem. A huge share of audit capacity goes to pulling data, normalizing formats, chasing documentation, and reconciling evidence across systems. None of that is judgment work. It’s fully automatable.

Here’s what we think the Pulse got right and what it missed: https://buff.ly/EMHYAdO

06/09/2026

We have AI tools that can pass the CPA exam, summarize 40-page filings before your coffee gets cold, and reason through complex tax scenarios better than many analysts.

And yet, finance teams are still manually reconciling accounts in Excel on day 8 of close. The journal entries are still manual. The data prep across three ERPs is still manual.

Not because the AI isn't smart enough, but because there's no way to connect AI to governed finance workflows that demand deterministic ex*****on, traceability, and audit-ready controls. Until now.

Savant is that connection. On June 16, we're showing how to extend AI beyond the chatbox and into production workflows where the real value lives.

📅 Tuesday, June 16 | 12 PM PT / 3 PM ET | 45 min

https://buff.ly/h9Ahkl1

06/04/2026

Ask your AI to reconcile an account, and it'll produce a clean output.

Now ask it to prove how it got there. The lineage and approval chain don't exist.

Auditors won't accept that. They want every output traced back to its source, every step on record.

Savant extends the AI you already use into governed finance workflows. As each step runs, the audit trail generates in real time, with lineage, approvals, and version history built in.

See it live on June 16.

Closing the AI Trust Gap for Finance

📅 Tuesday, June 16 | 12 PM PT / 3 PM ET | 45 min

Register now: https://buff.ly/h9Ahkl1

05/28/2026

Every finance team is using AI. Most are stuck figuring out how to get it past email drafts and report summaries.

Meanwhile, reconciliations still take days, the close still runs long, and your best people still burn weekends reformatting data across three ERPs.

Copilot, Claude, and ChatGPT cannot fix this on their own. They're general-purpose tools being pushed into regulated workflows that demand deterministic ex*****on, traceability, and audit-ready controls.

What finance teams need is a deterministic control layer that lets you extend AI beyond the chatbox and into your finance workflows, the right way. On June 16, we're showing you exactly what that looks like, live.

📅 Tuesday, June 16 | 12 PM PT / 3 PM ET | 45 min

Registration link in the comments.

05/21/2026

Every finance team we talk to is using AI. ROI is nowhere to be seen.

The tools are great at summarizing, drafting, and cleaning data. But nobody's figured out how to get them to run a reconciliation the same way twice, with a full audit trail, without babysitting every output. That’s where the real ROI lives.

The gap lies in whether AI can meet the accuracy and governance bar that finance actually requires. It takes more than an impressive output.

We've spent the last year building toward an answer. On June 16, we're showing it live. Be there.

📅 Tuesday, June 16 | 12 PM PT / 3 PM ET | 45 min

Register now: https://buff.ly/KW4yjvw

05/07/2026

42% of audit functions say they lack coverage for emerging risk areas like AI governance, cybersecurity, and ESG, even as boards keep expanding the mandate. Yet, headcount remains the same.

The real capacity constraint is upstream. Senior auditors lose days per engagement pulling data from multiple systems, chasing documents over email, reconciling file versions, and packaging evidence before fieldwork even begins. That coordination overhead compounds across a full annual plan until it becomes a structural coverage problem.

Automate the evidence lifecycle, and all that time flows back to risk assessment, testing, and remediation follow-through. Here’s how audit teams are rethinking the operating model to expand coverage without growing headcount: https://buff.ly/K5lVVn5

04/30/2026

Most finance teams today are experimenting with AI, but when implemented in day-to-day operations, it falls short of the expected impact.

To understand why, we did an extensive evaluation of Claude Cowork against real-world finance workflows.

We evaluated Claude Cowork across three layers.

Thinking: Can the AI understand intent and reason through the task? The result was strong. Impressively so.

Planning: Can it turn that reasoning into a repeatable, human-readable workflow? This is where cracks appeared. The ‘plan’ was usually hidden in the model — not a process a team could inspect and maintain.

Ex*****on: Can it run reliably against large files, real enterprise systems, and governance requirements? The most significant gap. File corruption, high review burden, limited connectivity to business systems.

Intelligence alone isn't enough. Enterprises need an operational layer that turns AI reasoning into workflows they can run, trust, and defend.

We wrote up the full evaluation with a detailed scorecard: https://buff.ly/4fEKvQp

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