Buyer resource · Template updated 2026-09-05
Finance Close: compare the work, then test the fit.
Compare public positioning, workflow fit and the proof to request. This is not a measured ranking or a recommendation based on hands-on testing.
Download the blank pilot scorecard (CSV)Workflow comparison
Sources and research dates are linked for each product. Unverified commercial or technical details must be confirmed with the vendor.
| Product and evidence | Work it performs | Best-fit conditions |
|---|---|---|
| Rillet Initial profile · limited sourcing Vendor source | AI-native ERP for finance teams that want faster close workflows and fewer custom scripts. | Finance teams replacing legacy ERP workflows where integrations, reconciliations, and close controls are the bottleneck. |
| Basis Automatically researched 2026-09-06 Vendor source | AI agents for accounting firms that prepare recurring CAS, tax, audit, and corporate-accounting work so accountants can review exceptions, evidence, and completed outputs. | Accounting firms with repeatable close, tax-preparation, or audit workflows; usable client and firm context; documented policies and review standards; and managers or partners who can own exceptions, evidence sufficiency, sign-off, and a controlled pilot. |
| Campfire Automatically researched 2026-08-26 Vendor source | An AI-native accounting platform whose Ember agents prepare recurring close work, surface explanations and exceptions, and route proposed accounting actions to people for review and posting. | Accounting teams ready to run their core books and close inside Campfire, with repeatable procedures and named reviewers for journal entries and exceptions. |
| Numeric Automatically researched 2026-09-09 Vendor source | Financial-close software that combines task ownership, reconciliation, cash matching, journal-entry workflows, monitoring, reporting, and AI-assisted analysis for accounting teams. | Accounting teams with repeatable close and cash-reconciliation work, supported ERP and bank connections, documented accounting policies, named preparers and reviewers, and capacity to prove rule accuracy and exception controls before reducing manual review. |
| FloQast Transform AI Agents Automatically researched 2026-09-14 Vendor source | Accounting workflow software that lets finance teams build auditable AI agents for repeatable close work such as accruals, reconciliations, allocations, and journal-entry preparation. | Accounting teams with repeatable, policy-led close work; supported source systems; controlled chart-of-accounts and master data; named preparers and reviewers; and time to test agent outputs, exceptions, and posting boundaries before scaling. |
| Maxima Automatically researched 2026-09-19 Vendor source | Accounting-automation software whose Max agent prepares recurring close work—such as journal entries, reconciliations, schedules, and variance analysis—for an accountant to review and approve. | Mid-market or enterprise accounting teams with recurring, high-volume, policy-led close work; stable source systems and master data; named preparers, reviewers, and approvers; and capacity to validate each workflow in parallel before relying on it. |
Run a bounded pilot
- Choose one repeatable workflow, one accountable owner and a fixed evaluation period. Agree the success thresholds before testing; this template intentionally supplies no universal pass rate.
- Use a representative, approved sample with normal cases and known exceptions. Record the volume, complexity and reviewer experience so the baseline and pilot remain comparable.
- Compare the agent-assisted workflow with the current process. Count corrections, escalation and review time, including time spent checking apparently successful work.
- Keep final approval with the responsible operator. Stop for unauthorized actions, exposed data, missing audit evidence or a failure to recover safely. Investigate before expanding access.
- At the decision date, record proceed, revise or stop with the evidence and owner. Verify contract costs, implementation effort and exit options before buying.
Measures to record
- Reviewer minutes per reconciliation
- Unmatched transactions
- Incorrect proposed entries
- Evidence traceability
- Approval and rollback failures
Proof to request from each vendor
Rillet
- Close-time reduction by entity and system
- Integration coverage for billing, payroll, banking, and data warehouse systems
- Audit trail and accountant review model
Basis
- A workflow demonstration using representative client data that shows every input, policy, template, mapping, confidence threshold, source citation, proposed accounting treatment, external write, exception, reviewer handoff, override, audit record, and rollback boundary
- A firm-specific validation set that measures preparation accuracy, evidence completeness, exception rate, reviewer agreement and overrides, rework, close or return cycle time, client-impact errors, and workload by workflow rather than relying on vendor-published outcome claims
- Current assurance and data-processing evidence: the relevant SOC 2 Type II and ISO report scope, control exceptions, DPA, subprocessor and model-provider list, data residency, access roles, audit export, retention and deletion terms, incident process, penetration-test summary, and contract-specific commitments
- Commercial and rollout details: pricing unit, minimum term, implementation and training scope, supported accounting systems and permissions, support model, usage or overage treatment, renewal, data export, and termination assistance
Campfire
- A sandbox or pilot using the buyer's historical bills, payments, journals, chart of accounts, and known exceptions to compare Ember's accrual and flux proposals with the approved close workpapers
- A role-by-role demonstration of confidence thresholds, draft versus post permissions, approval routing, audit trails, reversals, period locks, and how an incorrect suggestion is corrected
- A configuration-specific data-flow and integration inventory covering imported records, API scopes, write permissions, retention, exports, deletion, residency, subprocessors, model providers, and contractual security evidence
- A written commercial proposal covering platform scope, entities, users, implementation and migration services, usage limits, support, contract term, renewal, and exit or data-export conditions
Numeric
- A tenant-specific walkthrough of source ingestion, close-task ownership, reconciliation, matching-rule explanation, unmatched-item handling, proposed journal entry, approval, post, audit record, correction, and rollback using representative and difficult transactions
- A complete integration and authority matrix: systems and fields read or written, refresh timing, service accounts, bank connections, NetSuite posting roles, SSO and RBAC behavior, materiality thresholds, auto-submission, change alerts, logs, export, revocation, and emergency disablement
- Current product-specific assurance and data-processing evidence, including the applicable SOC report or other assurance scope, DPA, subprocessor and model-provider list, data residency, encryption, retention, deletion, support access, incident process, audit export, and contract commitments
- Commercial scope for each needed module and feature: user or entity metric, Growth and Enterprise quote, cash-management or connector charges, implementation and training, usage limits, support, term, renewal, cancellation, data export, and migration assistance
- A controlled pilot baseline that measures transaction coverage, correct-match rate, exception and override rate, incorrect postings, reconciliation completion, post-sign-off change detection, reviewer time, close-cycle time, recovery time, and total cost
FloQast Transform AI Agents
- A tenant-specific walkthrough from source data through agent configuration, testing, output review, exception routing, approval, posting or export, audit record, correction, and rollback using representative and difficult close cases
- A current integration and authority matrix covering each ERP, Coupa or other source, fields read and written, refresh cadence, service account, natural-language rule changes, deployment roles, approval limits, logs, exports, revocation, and emergency disablement
- Current product-specific security and AI-governance evidence: applicable SOC and ISO report scope and dates, bridge letter, DPA, subprocessors and model providers, residency, encryption, retention, deletion, support access, incident response, audit-log export, and contract commitments
- A commercial quote that separates the required Close and Transform modules, implementation, integration, training, usage or workflow limits, support, renewal, cancellation, data export, and migration assistance
- A parallel-close pilot with baseline and segmented results for entry completeness, accuracy, reviewer overrides, exception aging, posting corrections, reconciliation breaks, close-cycle time, audit evidence, recovery time, and total operating cost
Maxima
- A live, tenant-specific demonstration from source-system ingestion through policy configuration, data transformation, agent output, evidence, exception routing, approval, ERP posting or export, audit record, correction, and rollback for one representative close task
- A current integration and authority matrix for the buyer's ERP, bank, payroll, billing, procurement, HR, data, and consolidation systems, covering data fields, refresh cadence, service accounts, reads, writes, posting limits, SSO and roles, approvals, logs, retries, revocation, and emergency disablement
- Current security and AI-governance evidence: applicable SOC and ISO report scopes and dates, bridge letter, DPA, model and subprocessor list, data-flow diagram, residency, retention, deletion, support access, incident commitments, audit-log export, and contractual terms
- A commercial proposal that separates the platform, required modules, implementation, integrations, ongoing services, transaction or entity limits, support, contract term, renewal, cancellation, data export, and transition assistance
- A parallel-close pilot with a documented baseline for preparation time, match accuracy, reviewer overrides, exception age, correction rate, post-close adjustments, audit-evidence completeness, recovery time, and total deployed cost