Parabola presents Prowork as an AI workspace for finance and operations. You point it at files, inboxes, and business systems, then keep sources and rules as a visible Flow. That Flow can become a report or a managed agent that runs on demand, on a schedule, or from an email or webhook. Basic is a free tier with 1 user and 1,000 credits.
Use Parabola when a reconciliation, match, or report has to stay explainable. The docs say the Flow, not the chat, runs the work, and that rules stay explicit where precision matters. Basic is 1 user, 1,000 credits, and limited AI, with pay-as-you-go credits if usage grows. Credits are spent when agents run, and complex jobs such as multi-page PDF extraction use more. Business adds an Applied AI team, role controls, and SOC 2 Type II, with no public price.
A good fit for
Finance or operations work that must keep its sources and rules visible.
A solo start on a free tier before a team asks sales about Business.
Processes that should run on a schedule, an email, or a webhook after they are checked.
Know the trade-offs
Basic includes limited AI and 1,000 credits. Complex runs, such as multi-page PDF extraction, use more credits.
Lines such as 100+ hours saved and customer case studies are vendor statements, not results from this profile.
How a Prowork Flow is built, checked, and run.
Start from the files and systems you already use
Prowork answers questions, builds reports, and runs processes. You can inspect the data and logic at every step, change any calculation, and feel confident in the results. The docs tell you to point Prowork at files, inboxes, and business systems, then ask a question or open an existing Flow without first moving everything into a new system. The homepage frames the hard part as scattered work: ERP, warehouse, spreadsheet, PDF, email, and partner portal, plus logic that lives in people's heads and processes that keep changing. Prowork by Parabola helps the people closest to finance and operations work turn scattered operational data and changing, undocumented logic into visible, code-backed Flows. Talking through the process generates the code underneath while each source, rule, calculation, decision, and exception stays a visible, editable step.
Keep a Flow, an Artifact, and a managed agent distinct
A Flow contains the sources, transformations, calculations, rules, decisions, and exceptions behind the result. That is the implementation you can open and change. An Artifact is a report, dashboard, analysis, exception queue, or interactive interface generated from Flow data. You can start with a question and get an Artifact before you decide the work should run again. A managed agent is a Flow deployed with connected data and context, triggers, permissions, monitoring, run history, lineage, and failure handling. Run the Flow on demand, on a schedule, or when an email, webhook, or new data arrives. The docs say Prowork handles execution and monitoring while the team retains control of the implementation. Later changes stay on the same Flow instead of rebuilding it in another tool.
The docs separate exploration from execution. Prowork's AI helps explore data and build or edit the Flow. The Flow runs the work. Rules and calculations remain explicit and stable where precision matters, while AI is scoped to steps where extraction, interpretation, or judgment adds value. Every input, output, calculation, and intermediate result is described as remaining visible, so a later change is made on the same implementation. The Basic card says to describe a task in plain language and ship an agent, then tweak and re-run it. Pre-built integrations connect common data sources. Business copy also names an ERP, a warehouse, email, and file systems. The homepage shows a sample inventory reconciliation across NetSuite, a supplier email, and SharePoint. Treat that screen as an example, not a run from this profile.
Start with the Basic Plan: 1 user, 1,000 credits, and limited AI. Self-serve plans include a free tier you can use indefinitely. The card also lists community support through docs, templates, and a community, plus pay-as-you-go credits as usage grows. Credits are consumed when agents run, not while you are building. Simple agents use fewer. Complex tasks, for example multi-page PDF extraction, use more. There is no cap on how many agents you can create. Every plan includes a monthly allotment, and Business plans get custom credit volumes. Business is the sales path. The page says an Applied AI team works alongside you, including a proof of concept on production data rather than a sandbox, and that if they do not prove value you walk away at no cost. Named controls include viewer, editor, and admin roles, version history with one-click revert, SSO, SOC 2 Type II, multi-tenancy, a full audit trail of every agent run, service level agreements, and a dedicated account manager. The docs navigation also lists GDPR & DPA. The welcome.
A suggested inventory workflow follows the docs' supply-chain list and the homepage example: pull on-hand quantities from more than one system, standardize the SKU, and flag rows that do not match. The prompt library on the pricing page names inventory reconciliation next to replenishment-style work. The homepage sample joins NetSuite, an emailed supplier file, and SharePoint, then keeps only rows over a variance threshold. Keep the join rule visible in the Flow so a later prefix or warehouse suffix can be edited without asking for a new agent.
Three-way PO matching
The pricing page's prompt library lists three-way PO matching, parcel invoice auditing, and variance analysis as named starting points. A suggested purchasing workflow is to describe the match in plain language, then inspect the step that compares the purchase order, the receipt, and the invoice before anyone treats the exception queue as final. The docs put PO matching with accounts receivable and sales reporting under financial operations, and they say you can trace a result through its inputs. Schedule or trigger the Flow only after that trace looks right on real examples.
Close exceptions and accruals
Accounting and close, in the docs, covers reconciliations, accruals, journal preparation, and close exception management. A suggested close workflow starts as an Artifact, a report or exception queue, and becomes a managed agent only if the same Flow should run again behind the scenes. The homepage describes reconciliations and accruals moving off a manual close week, with logic you can still see. Basic's 1,000 credits and limited AI are the constraint to read before a multi-step close agent runs on a schedule. The path is suggested. It is not a close this profile executed.
How to get started with Parabola
1
Point it at the work
Connect files, an inbox, or a business system and ask a question, or open an existing Flow.
2
Capture the steps
Talk through sources, rules, and exceptions so each one stays a visible step on the Flow.
3
Validate on live data
Run the steps, trace results to their inputs, and add the edge cases only your team knows.
4
Run it again
Run on demand, on a schedule, or when an email, webhook, or new data arrives.
Basic credits and the Business plan with no shown price.
The public pricing page did not publish a dollar price. Basic is described as a free tier. Business says to talk to sales. Pay-as-you-go credits are named without a rate.
Basic
One person proving a few agents.
Free.
Free tier you can use indefinitely.
1 user, 1,000 credits, and limited AI
Agent builder, pre-built integrations, and community support
Pay-as-you-go credits as usage grows
Business
Teams that want deployment help and admin controls.
Not verified.
Talk to sales.
Applied AI team, including a proof of concept on production data
Viewer, editor, and admin roles, plus version history
SSO, SOC 2 Type II, audit trail, and service level agreements
Business credit volumes are custom. A proof of concept is described as no cost if value is not proved. The same page says teams on the business plan typically see a 100-150% increase in weekly active users and 100+ hours saved in the first month. Those lines and the homepage case studies are vendor claims.
You want the other no-code automation listing instead of these Flows.
Zapier is an Automation listing with No-code and E-commerce tags. These pages do not describe Zapier's plans or connectors. Use its own public pages for that.
Parabola: common questions
Is there a free Parabola plan, or only a trial?
Self-serve plans include a free tier you can use indefinitely. The page says to start with the Basic Plan: 1 user, 1,000 credits, and limited AI. It also says many Business customers started on a free plan. That is not described as a calendar-limited trial.
Credits are consumed when agents run, not while you are building. Simple agents use fewer. Multi-page PDF extraction is the example of a task that uses more. There is no cap on how many agents you create, and no shown price per credit.
What do Business controls include, including SOC 2?
Business lists SSO, SOC 2 Type II, multi-tenancy, an audit trail of every agent run, viewer, editor, and admin roles, and service level agreements. The docs navigation lists GDPR & DPA. No uptime percentage is shown.
Run the Flow on demand, on a schedule, or when an email, webhook, or new data arrives. The docs say the team keeps control of the implementation while Prowork handles execution and monitoring. Basic's scheduling frequency is not stated on the public pricing card.
NavHunt did not run Parabola. This profile quotes the public Prowork homepage, pricing page, and welcome docs from 6 October 2026. It reports the Basic credit line and the absence of a shown Business price. It is not a flow test. This description is based on Parabola's official materials reviewed on 2026-10-06, including Prowork by Parabola homepage, Parabola pricing, Welcome to Prowork.