Fieldguide alternatives, and the question audit software has to survive that no other AI purchase does: can a stranger follow the work?

Fieldguide's homepage headline reads Build the agentic firm the next decade demands, over a subhead about leading the transformation in audit and advisory. It organises itself into four solutions: Audit and Assurance, Advisory and Consulting, Corporate Internal Audit, and Federal and Defense, the last of those described as running on a FedRAMP certified platform. The product underneath is Field Agents, which the site calls a professional-grade agent workforce that executes complex engagement work end to end, reviewed and directed by practitioners. The agents are named: Field Planner, Field Auditor, Field Reviewer, Field Financials and Field Orchestrator, with a banner announcing Field Financials, a Fieldguide MCP and a refreshed brand.

Read the agent descriptions and one phrase repeats. Planning "arrives assembled and evidence-backed, ready for practitioners to review before fieldwork begins." The auditor agent "runs end-to-end testing and evidence verification across audit and advisory engagements, reviewed by practitioners." The reviewer agent hands over work "checked for completeness and support, with open items and exceptions" surfaced. Every one of them ends at a practitioner. That is not throat-clearing. Under the standards further down this page, the review is exactly where the firm's responsibility sits, and the product is telling you plainly that it does not take that from you. Any vendor in this category that implies otherwise is selling you a problem.

The customer claim on that homepage is the most useful sentence on it: more than half of the top 100 firms partner with Fieldguide, including 8 of the top 10. That is a vendor claim on a vendor page and we report it as one. It is also the clearest signal available about whose workflow the product is calibrated against, and it is worth more to a 40-professional firm than any feature list.

What Fieldguide does not publish is a price. The address fieldguide.com/pricing returned HTTP 404 when we requested it on August 20, 2026, no figure appears anywhere on the site, and fieldguide.io redirects to fieldguide.com. Hold that thought, because it turns out to be the rule rather than the exception here.

Search for Fieldguide alternatives and you will be handed some arrangement of Caseware, MindBridge, DataSnipper, Suralink, AuditDashboard, Basis and Truewind. Read each vendor's own homepage and they are doing different jobs, on different sides of the engagement, for different buyers.

• Fieldguide and Caseware run the engagement. Caseware organises its platform around clear engagement control, informed planning, streamlined fieldwork and confident completion, and its AI layer, Caseware Verity, is pitched as the first AI that understands the engagement, with agents executing the most time-intensive work across the engagement lifecycle. It also lists a quality management solution alongside its audit and financial reporting ones, which is a tell about where the profession's attention has gone. These two are the closest thing on the list to a like-for-like comparison.
• MindBridge analyses the ledger, and sells that to the finance function first. Its homepage opens with Finance is Becoming Autonomous and sells Autonomous Financial Oversight: continuous analysis of financial activity, independent validation of transactions and AI-generated financial activity, and explainable insights. Audit and Assurance appears as one industry among Enterprise, Advisory, Oil and Gas, Manufacturing and Retail. If MindBridge is on your shortlist as an audit analytics purchase, read the current site before the demo, because what it leads with today is the oversight of a finance function rather than the audit of one.
• DataSnipper works inside Excel. Form extraction, document matching, version comparison, find-all-sums, comments and markup at the base, with AI extractions, Excel agents, an agent builder and prebuilt agents layered above. It titles its own pricing page an agentic platform for audit and finance. The distinguishing feature is not the AI, it is the location: the work already happens in a spreadsheet and this meets it there.
• Suralink and AuditDashboard chase documents. AuditDashboard is the narrower of the two and says so: PBC request lists, collaborative scheduling, electronic signatures, secure file sharing, and a version 8.0 announcement leading on Microsoft Office 365 and Copilot integrations. Suralink is broader, pairing request list management with a workpaper suite, an Excel add-in, secure file sharing, e-signature with knowledge-based authentication, a cloud testing suite and financial statement tie-out.
• Basis is a whole-firm agent platform you cannot buy yet. Access on getbasis.ai runs through a waitlist form whose company-size options run from solo practitioner to more than 100 employees, its solutions are listed for CAS and advisory, tax, audit, small firms and corporate teams, and its current announcement is an end-to-end tax platform rather than an audit one. A category still forming looks exactly like this.
• Truewind is not in this category. Its own homepage calls the product a Digital Accountant and describes keeping Sage Intacct or QuickBooks Online as your source of truth while it turns bank statements and workpapers into GL-ready journal entries, reconciliations and SOPs you can review. The three features it leads with are transaction coding on autopilot, automatic reconciliation across every account, and flux analysis before every close. That is the month-end close. It is the client's side of an engagement, not the auditor's, and the reason it keeps appearing on audit shortlists is that the vocabulary overlaps while the buyer does not.

None of that makes any of these bad products. It makes the word alternatives misleading, because most of them are not substitutes for each other. A firm that buys an engagement platform to solve a document-chasing problem has spent a great deal of money on the wrong layer, and a firm that buys a request-list tool to solve a methodology problem has spent very little on nothing.

Read the second column before the fourth. Every row was read on the vendor's own site on August 20, 2026, and every entry in the last column is a literal HTTP response we recorded rather than a characterisation of the vendor.

Eight products, zero published prices. That is not unheard of here: the home services voice category this site measured came out the same way. It is still worth carrying into the negotiation, because it means there is no independent anchor to argue from.

Every other AI system a firm buys is judged by whether the work got done. Did the return get prepared, did the document get classified, did the client get an answer. An audit file is judged by something else entirely: whether a stranger can reconstruct it without you.

The requirement is written down. PCAOB AS 1215.06A states that audit documentation must contain sufficient information to enable an experienced auditor, having no previous connection with the engagement, to understand the nature, timing, extent and results of the procedures performed, the evidence obtained and the conclusions reached, and to determine who performed the work and the date such work was completed as well as the person or persons who reviewed the work and the date of such review. That standard governs issuer audits. AU-C 230, the AICPA's audit documentation standard, sets the same experienced-auditor benchmark for the private company work that fills a mid-market firm's attest practice.

Nothing in either sentence is satisfied by a dashboard. That single observation reorders the demo.

The interesting question stops being whether the tool can test one hundred percent of a population instead of a sample, because most of them can and it is the easiest thing to show. It becomes what lands in the file when it has. Three questions do more work than an hour of feature comparison, and none of them is about capability:

• Show me the workpaper, not the dashboard. Not the screen where the exceptions appear. The artifact that goes into the binder, in the form it will be read in three years by somebody who has never met you.
• Show me what happens when it is wrong. Where the exception is recorded, who cleared it, on what basis, and whether that resolution is retrievable later as evidence rather than as a chat message.
• Show me the file after the subscription ends. Elsewhere on this site the ownership argument is a commercial preference. In attest it is a records question, because the documentation has to remain retrievable for its retention period whether or not you renew.

There is a fourth point buried in the standard that is easy to skim past. Documentation has to identify who performed the work and who reviewed it. When an agent performed the work, the file still has to answer that question with a person attached to it. Every vendor on this list already knows that, which is why Fieldguide's own copy keeps ending each agent description at a practitioner. The firms that get into trouble will not be the ones whose software was weak. They will be the ones who let the review become a formality because the output looked finished.

The timing of this buying decision is not neutral. SQMS No. 1 applies to firms performing engagements under the Statements on Auditing Standards, the Statements on Standards for Attestation Engagements, or the Statements on Standards for Accounting and Review Services. Firms had to have designed and implemented their system of quality management by the December 15, 2025 effective date, and the Journal of Accountancy states that the system must be evaluated within one year of implementation or by December 15, 2026, and on an ongoing annual basis thereafter. For a firm reading this in August 2026, the first evaluation is roughly four months out.

The standard replaces a policy-based quality control regime with a risk-based system built from eight components: a risk assessment process, governance and leadership, relevant ethical requirements, acceptance and continuance, engagement performance, resources, information and communication, and monitoring and remediation. Two of those decide how an AI tool sits inside your practice.

Resources no longer means people. The component now extends beyond human resources to cover technological and intellectual resources and the service providers that support the system. Software that executes engagement procedures is a resource inside your quality management system, with quality objectives and quality risks attached to it, whether or not anyone in the firm has framed it that way.

Monitoring and remediation expects root cause analysis. The expectation is to identify issues, work out why they happened and fix the system, rather than repair one engagement and move on. That is a different posture toward a tool. It means the honest answer to "how often is it wrong, and in which direction" is not a nice-to-have during diligence; it is an input to a component you have to evaluate annually.

Put those together and the shape of the purchase changes. The comparison table above prices none of this, because no comparison table does. The real cost of an audit AI tool includes the work of bringing it inside a quality management system you must be able to defend, and the tools that make that easy are the ones that produce evidence rather than output.

The outside reader is not hypothetical either. New York's Education Law 7410 requires a public accounting firm to undergo a peer review of its attest services within 18 months of providing its initial attest service and every three years thereafter, and a 2017 amendment repealed the earlier exemption for firms with two or fewer accounting professionals, so any firm performing attest services is covered. Other states run parallel requirements through their own boards. The experienced auditor with no previous connection to your engagement is a real person, and they arrive on a schedule.

Fieldguide tells you itself: more than half of the top 100 firms, including 8 of the top 10. Take that as the vendor's own claim, and then take it seriously, because it explains the product's assumptions better than any review will. Firms at that end of the market have national offices, methodology groups, and people whose entire job is audit innovation. A 40-professional firm has a partner who also does the scheduling.

That does not mean the product is closed to you, and we are not going to pretend it does. It means two specific things, and both of them cost money that no price list shows.

Configuration is somebody's job. Fieldguide describes its agents as executing on your firm's methodology. That phrase is doing a lot of work. Somebody has to encode the methodology, keep it current as standards change, and own the difference between what the firm says it does and what the platform now does. At the firms these products were built around, that somebody is a department with a budget. At yours it is a person who already has a chargeable target, and if it is nobody, the platform gets configured badly and the software takes the blame.

You negotiate without an anchor. When zero vendors in a category publish a number, nobody can tell you what a good deal looks like, and the buyer with less volume and less leverage is the one that costs. That is not an argument against buying. It is an argument for asking for the reference architecture and the reference firm size on the first call, and for treating any quote as an opening position.

Basis is the clearest illustration that this market is still forming rather than settled: the product is behind a waitlist, and its most recent announcement is a tax platform rather than an audit one. Categories that are still deciding what they are do not publish prices, and buyers in the middle of the market are the ones who feel it.

Every status below was recorded on August 20, 2026 with an ordinary browser user agent, following redirects.

• Fieldguide: fieldguide.com/pricing returns 404. No figure anywhere on the site.
• Caseware: caseware.com/pricing returns 404.
• MindBridge: mindbridge.ai/pricing returns 410 Gone, which is the status a server sends to say a resource existed and has been deliberately removed, rather than the 404 that says only that nothing is there now. The server is telling you the page is gone on purpose.
• DataSnipper: datasnipper.com/pricing returns 200 and is the closest thing here to disclosure without being disclosure. Three named tiers, Start, Accelerate and Elevate, each with a real feature list. No number under any of them; the first two carry Book Demo and the third carries Contact sales.
• Suralink: suralink.com/pricing returns 200 and lays out a CORE product with add-on modules each marked as requiring CORE, plus the named agent library. No number.
• AuditDashboard: auditdashboard.com/pricing returns 404.
• Basis: getbasis.ai/pricing returns 404. Access runs through a waitlist form.
• Truewind: truewind.ai/pricing returns 404.

Two of the eight publish something useful without publishing a price, and that is worth more than nothing. DataSnipper's tiers and Suralink's CORE-plus-modules map both tell you the shape of the bill, which is the second most useful thing after the size of it. A base platform with modules behind it means the quote you are given on the first call is not the number you will be paying in year two, and the sensible move is to ask which modules the reference customer ended up with.

We are not going to estimate what any of these cost. This site has been burned before by numbers that sounded plausible, and an invented benchmark is worse than an absent one.

This site sells commissioned AI builds, so the useful thing we can do here is be exact about when that is the wrong answer. In this category it is the wrong answer most of the time.

Buy Suralink or AuditDashboard if the pain is chasing documents. PBC collection is a solved workflow with a defined artifact at the end of it, the load is seasonal, and the requirements come from the engagement rather than from your firm's particular way of working. That profile favours renting, every time. Rebuilding a request-list platform to avoid a subscription is the expensive mistake in this category and we would say so on the call.

Buy DataSnipper if the work already lives in Excel. Extraction, matching and tie-out inside the spreadsheet where your staff already are is a smaller change than any platform migration, and the smaller change is usually the one that gets adopted.

Buy Fieldguide or Caseware if you are replacing the engagement platform itself and you can name the person who will own methodology configuration. If you cannot name them, fix that before you sign, because the platform will otherwise be shaped by whoever happens to be free in November.

Read MindBridge's current positioning before you shortlist it, because what it leads with today is oversight of the finance function rather than audit of it.

Do not buy Truewind for attest work. It is a capable product for a company's accounting team or a client accounting services practice. It is not on this list.

The narrow case for commissioning something is not a better testing engine, and anyone who tells you otherwise is selling. It is the part no product on this page sells, because it is a record rather than software: your firm's own evidence trail across engagements and platforms. What procedure ran, over what population, with what parameters and what version of the model, who reviewed it and when, what exceptions were raised, what happened to each one, and how often the tool turned out to be wrong. Every tool above produces a slice of that inside its own boundary. None of them can hand a managing partner one answer across all of them, because the engagement platform, the Excel add-in, the request-list tool and the document management system each hold a different piece.

That artifact is the one the monitoring and remediation component of SQMS No. 1 asks for. It is also the one a peer reviewer asks for. And it is specific to your firm in a way the products cannot be, because it is shaped by your methodology, your industry niches and your review structure. It is a small system compared with anything on this page, which is exactly why nobody sells it.

We have not commissioned an attest-side system for a CPA firm. The CPA work this site documents sits on the tax and client-service side: document intake and classification, prior-year retrieval, review support and the plumbing into CCH Axcess, Lacerte, UltraTax and ProSystem fx. We would rather write that sentence than imply an audit track record we do not have. If the right answer for your firm is to buy Suralink and write a one-page control around it, that is what we will say on the call, and it will be a shorter call.

Every vendor claim above was read first-hand on the vendor's own live site on August 20, 2026, and every pricing status is an HTTP response code we recorded ourselves on the same day using an ordinary browser user agent and following redirects. Vendor homepages read: fieldguide.com, caseware.com, mindbridge.ai, datasnipper.com, suralink.com, auditdashboard.com, getbasis.ai and truewind.ai.

The documentation requirement is quoted from PCAOB Auditing Standard 1215, Audit Documentation, paragraph .06A, read on pcaobus.org on August 20, 2026. AU-C 230 is the AICPA's parallel audit documentation standard for nonissuer audits and is named here rather than quoted, because we did not read the AICPA's own text of it first-hand today; if you are relying on the exact wording, read the standard rather than this page.

The SQMS No. 1 dates come from the Journal of Accountancy, the AICPA's own publication, in its August 2025 report on the quality management deadline, which states the December 15, 2025 effective date for design and implementation, the requirement to evaluate the system within one year of implementation or by December 15, 2026 and annually thereafter, and the applicability to firms performing engagements under the SASs, SSAEs or SSARSs. The eight components and the extension of the Resources component beyond human resources to technological and intellectual resources and service providers are as enumerated in published professional guidance on the standard rather than read from the standard's own text.

The peer review requirement is quoted from the New York State Education Department's page on mandatory peer review for public accounting firms, which describes Education Law 7410 and the 2017 amendment that repealed the small-firm exemption, read on op.nysed.gov on August 20, 2026. It is New York's statute, cited as a concrete example of a state-level requirement rather than as a national rule.

Two things we deliberately did not put on this page. We did not include Materia, which appears on some shortlists in this category, because materia.ai returned a 404 at the apex and the www host redirected to an unrelated product when we checked, and we were not willing to build a claim on that. And there are no ColabContent client results, named clients, or quantified outcomes anywhere above, because we have not commissioned an attest-side system and inventing a receipt is worse than having none.

Related reading.

On the rest of the accounting stack: what we would build for a CPA firm, AI consulting for CPA firms, the tools firms already run, and the consultants CPA firms shortlist. On the delivery and practice-management layer this page sits beside, SafeSend and what its contract says, Karbon AI against a commissioned build, the Karbon alternatives for a mid-market firm, Accelamos against Karbon, Jetpack Workflow against Karbon, and the open letter to partners considering Karbon AI. On the tax systems your file already lives in, the CCH Axcess workflow playbook and its automation companion, the UltraTax playbook, the Lacerte playbook and its automation companion, the ProSystem fx playbook, and the Karbon alternative playbook. On the questions this page raises but does not answer, the security and privacy questions to ask before a build, what belongs in an AI vendor contract, governance without enterprise theater, and why code handoff matters, which is the commercial version of the records argument above. On the arithmetic, renting AI against owning it, what this costs for a firm, and how to choose an AI consultant for accounting, with the automation consultant guide alongside it and what actually works in CPA firms underneath. Our forward view is in the 2026 CPA AI benchmark, the maturity assessment places your firm before any of it, and the CPA resource and its teardown are the shortest route to a real conversation. The rest of the series sits on the comparisons hub, process covers how we work, pricing covers our own fee bands, and if you want a read on your own engagement workflow rather than a product recommendation, talk to us.