Trusted, AI-ready analytics for the office of finance with Alteryx One
A governed analytics and automation platform for accounting, FP&A, tax, and audit teams in enterprise finance
A governed analytics and automation platform for accounting, FP&A, tax, and audit teams in enterprise finance
Finance is facing pressure to put AI to work. But AI can't be trusted, even with governance in place, when the business logic behind that data is missing โ the rules, calculations, and context that make a number meaningful. Alteryx One captures that logic and embeds it in the flow of everyday finance operations, so AI always works from numbers that finance already stands behind.
Business logic travels with the data, from raw entry to reported figure, in a process built to work the way your team already does โ and to keep working long after they’ve moved on.
The rules are managed by the people who understand the business, so the same logic runs the same way, period after period.
Alteryx doesn’t ask you to rebuild your data stack. It works inside the one you already have โ connecting source systems and cloud platforms so the investments you’ve made keep paying off.
400 hours
per year saved
At Papa Johns, franchise billing and reconciliation now run as governed workflows, freeing up to 400 hours a year with SOX controls embedded and always current.
With Alteryx One, finance teams stop reacting to the calendar and start controlling and predicting it โ trading spreadsheet logic no one can see for governed, auditable workflows the whole department can trust.
Close tasks run as sequenced workflows that spread preparatory work across the month instead of stacking it into the final week. Bottlenecks surface early and ownership is clear.
Ayvens Bank recovered two full days each month on close activities and four hours daily on report preparation.
One analyst’s workflow becomes the team’s workflow. When the same question comes back next month or lands on someone else’s desk, the answer starts from consistent logic instead of a fresh build. Reliable repeatability means everyone applies the rules the same way.
Reconciliations and reporting run on one governed source of truth, so multiple teams no longer arrive with multiple versions of the same calculation. Every number traces back to the record behind it, so less time is spent on reviews and more time is spent on decisions.
Finance at Siemens Energy consolidated SAP, MES, and spreadsheet data into governed workflows, aligning finance and operations on one set of numbers.
Finance defines the rules, thresholds, and exception paths, and every AI action adheres to them. An agent works through the exception queue, surfaces what’s material, and leaves each result traceable to the logic that produced it.
Governed answers reach people inside the AI assistants your teams and executives use daily. Ask a question in the AI tools your team already works in, and the answer applies consistent, governed logic โ for reliable output that can be traced back to its source
Each new workflow adds to a portfolio running on the same governed platform and as that portfolio matures, agents can take on more of the work without adding technical overhead. Finance teams still build and update the underlying logic without code, and agents operate strictly within it.
Used by controllers, FP&A analysts, tax specialists, and internal audit teams.
Alteryx One runs analytics at enterprise scale with the compliance and audit trails finance needs, and the security and controls IT requires.
The numbers no longer need defending. A reviewer who didn’t build the logic can still follow it. The same inputs produce the same answer every time.
Being on one platform connected to your cloud allows you to better govern your data, how people are using it, what they're doing with itโฆand truly make it one process.
The month-end close finishes on schedule. Forecasts and tax provisions rest on assumptions anyone can inspect, and auditors get their evidence without a scramble. The work finance is accountable for runs on governed logic, and the AI the business wants to apply finally has a reliable foundation for accurate output.
Because AI does not know your business rules. It can summarize and explain, but it cannot tell you which accounts roll up where, which variances are material, or how your company defines a completed reconciliation. Alteryx One is the business logic layer where finance builds and owns those rules, and it hands AI data that has already been validated against them. AI then works on something dependable instead of guessing.
No. Those systems are where your data lives; Alteryx turns that data it into automated, finance-ready information. Your ERP was not built to apply materiality thresholds across entities, and your cloud data platform will not tell you whether a reconciliation cleared. Alteryx One sits between them, applies the logic finance owns, and delivers governed output back into the tools that consume it.
No. Workflows are built visually, and with Ask Alteryx you can describe what you want in plain language and get a workflow back. Either way the result is a workflow: every step is visible, reviewable, and changeable by the finance team that owns it. That matters more than how it was created, because the workflow is what an auditor follows and what the next analyst inherits.
The goal is to replace them, and to keep what they contain. A mature spreadsheet model is a record of years of institutional judgment about how the business works, and that judgment is worth preserving. Rebuilding the model as an Alteryx workflow captures the same logic in a form that runs on schedule, holds up under audit, and does not depend on the person who wrote it
Every AI-assisted output traces back to the workflow that produced its inputs. The rules are ones finance wrote, not ones the model inferred, so when a reviewer asks why a number looks the way it does, the answer is a documented step rather than a model’s reasoning. Approval thresholds, exception paths, and overrides are part of the workflow, and the evidence exists before the audit starts.