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SMPL.ai

What SMPL.ai is
SMPL.ai is a web-based FP&A and financial intelligence platform connecting pipeline, ARR, revenue, cash, headcount, and financial statements in one governed model. Its tools cover close and board reporting, revenue and retention analysis, forecasting, three-statement budgeting, Plan Assurance, workforce planning, and cash planning. The platform drafts commentary from calculated results, checks figures and stated causes against data, and flags unsupported claims. SMPL says calculations are deterministic and AI does not compute or edit financial values; board figures can be traced through management P&L to general-ledger detail. Connections use read-only access, structured extracts, warehouse shares, secure file delivery, or an ingest API, while source systems remain systems of record. It connects with listed accounting, CRM, billing, and workforce systems. Plans are Starter with 1 integration and 2 users, Professional with 3 integrations and 5 users, and Enterprise with 5 integrations and 10 users. Pricing is on request after a demo.
Who it suits
It is aimed at growing SaaS companies whose finance and operating information spans several systems. It suits teams with expanding reporting, budgeting, forecasting, and workforce-planning needs.
What it does well
- Governed model links operational and financial data
- Forecasting, budgeting, and scenario planning
- Traceable figures through ledger detail
- Read-only and structured data connections
- AI commentary checks unsupported claims
What to know first
- No free plan
- Pricing requires a demo and contracting
- Implementation and extra integrations are not self-serve
- Plans limit integrations and users
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Starter | Pricing and billing terms are tailored after your demo. · 2 users included · 1 integration included · dedicated environment · dashboards · board reporting · AI commentary · CSV uploads | On request |
| Professional | Pricing and billing terms are tailored after your demo. · 5 users included · 3 integrations included · dedicated environment · dashboards · board reporting · forecasting · workforce planning · scenario analysis · AI commentary | On request |
| Enterprise | Custom packaging, contracting, and onboarding. · 10 users included · 5 integrations included · dedicated environment · dashboards · AI commentary · SSO and advanced security · white-glove onboarding · all platform modules | On request |
As smpl-ai.com lists them, read 11 Oct 2026. The maker's own page has the final word.
Verdict
SMPL.ai focuses on connected planning and controlled financial reporting for growing SaaS businesses. Its read-only architecture and traceability may suit teams that need governed numbers across multiple source systems.
Facts from SMPL.ai's own pages
- AI commentary
- The platform drafts commentary from calculated results, checks stated figures and causes against the data, and flags or removes unsupported claims before reporting. · smpl-ai.com, 11 Oct 2026
- Budgeting
- Yes · smpl-ai.com, 22 Sept 2026
- Core features
- Its platform includes close and board reporting, revenue and retention analysis, forecasting, three-statement budgeting, Plan Assurance, workforce planning, and cash planning. · smpl-ai.com, 11 Oct 2026
- Data connection
- SMPL connects through read-only access or structured extracts, can read warehouse shares or secure file delivery, and offers an ingest API for teams with their own data pipelines. · smpl-ai.com, 11 Oct 2026
- Forecasting
- Yes · smpl-ai.com, 22 Sept 2026
- Founder and location
- The About page names Matt Justice as Founder & CEO and gives Portland, Oregon as his location. · smpl-ai.com, 11 Oct 2026
- Free plan
- No · smpl-ai.com, 22 Sept 2026
- Hosting and AI vendors
- The privacy notice identifies Vercel and Railway for application hosting, Neon for managed database hosting, and Anthropic for product AI commentary features. · smpl-ai.com, 11 Oct 2026
- Integrations
- It works with accounting and ERP systems including NetSuite, Sage Intacct, QuickBooks Online, Xero, Rillet, and Campfire; CRM systems Salesforce and HubSpot; billing systems Maxio, Stripe Billing, Chargebee, and Recurly; and workforce systems including Rippling, Gusto, BambooHR, Workday, HiBob, and Deel. · smpl-ai.com, 11 Oct 2026
- Notable limits
- Pricing is finalized during contracting after a demo, and implementation scope, extra integrations, and support upgrades are discussed with the team rather than purchased through self-serve checkout. · smpl-ai.com, 11 Oct 2026
- Refresh cadence
- After go-live, the customer initiates each refresh around its own close calendar and can load intra-month cash or pipeline data as needed. · smpl-ai.com, 11 Oct 2026
- Scenario modeling
- Yes · smpl-ai.com, 22 Sept 2026
- Security
- The privacy notice says SMPL uses encrypted transport (TLS), access controls, and vendor hosting controls, and notes that customer data processing may also be governed by a separate agreement or data processing addendum. · smpl-ai.com, 11 Oct 2026
- Support
- Pricing lists Silver support for Starter, Gold support for Professional, and Platinum support for Enterprise. · smpl-ai.com, 11 Oct 2026
- System of record
- SMPL reads from connected systems and does not write back to them; each source system remains the system of record for its domain. · smpl-ai.com, 11 Oct 2026
- Trust and traceability
- SMPL says calculations are deterministic, AI does not compute or edit financial values, and board figures can be traced through the management P&L to general ledger detail. · smpl-ai.com, 11 Oct 2026
- Variance analysis
- Yes · smpl-ai.com, 22 Sept 2026
- What it does
- SMPL.ai is an FP&A and financial intelligence platform connecting pipeline, ARR, revenue, cash, headcount, and financial statements in one governed model. · smpl-ai.com, 11 Oct 2026
- Who it is for
- SMPL.ai describes its audience as growing SaaS companies whose finance and operating data spans several systems and whose reporting and planning needs have become more demanding. · smpl-ai.com, 11 Oct 2026
- Workforce planning
- Yes · smpl-ai.com, 22 Sept 2026