Board Alternative: Reconciled Numbers for AI

Board and Rexfin get filed under the same searches, but they answer different questions. Board is an enterprise Continuous Planning platform that unifies finance and operational planning in one system. Rexfin is the reconciled data and modeling layer that gives any AI or agent financial numbers it can trust. If you’re weighing one against the other, the real decision is whether you need a full planning suite or a way to make AI reliable on the numbers you already have.

Board fits large and global enterprises with cross-functional planning that spans finance, supply chain, and retail. Think FP&A leaders, controllers, S&OP planners, and merchandisers coordinating millions of planning points across business units, all on one governed platform.

Rexfin fits teams who want AI to answer financial questions without inventing figures. It connects your accounting, banking, and warehouse data (or ingests uploaded statements), builds one reconciled model where every number ties to the ledger, and lets a deterministic engine do the math. AI only retrieves and reasons over that model, so answers reconcile to source.

At a glance

	Board	Rexfin
Core job	Continuous Planning across finance and operations	Reconciled financial model that AI can query
Best for	Large enterprises unifying finance, supply chain, retail	Teams putting AI on top of financial data
AI approach	Persona-based Board Agents on governed platform data	AI retrieves exact figures; deterministic engine calculates
Data reconciliation	Depends on data being unified inside Board	Built in; every figure ties to the ledger
Where numbers come from	Models and hierarchies built in the Board platform	Reconciled model linked to accounting, banking, warehouse
Setup	Broad, configurable, partner-led implementation	Connect sources, reconcile, query
Pricing model	Quote-based enterprise subscription	Demo-led, contact for pricing

Where Board is strong

Board’s core bet is that finance and operations should plan on one platform, and it backs that with real engineering. Its HBMP technology delivers high performance at enterprise scale, handling millions of planning points without falling over. The Flex Grid planning experience and Board for M365 keep finance teams close to Excel while still writing back to a governed model, which matters when your planners live in spreadsheets but you need one version of the truth underneath.

The AI story is built around persona-based agents: the Board FP&A Agent, Controller Agent, Merchandiser Agent, and Supply Chain Agent, each trained on high-impact use cases for its role. Board emphasizes explainable decisions and a transparent audit log, so an FP&A leader can see how an agent reached a number rather than trusting a black box. For Integrated Business Planning that ties financial plans to S&OP and merchandise financial planning, that breadth is genuinely hard to match.

Board also does the enterprise plumbing well. ERP database write-back, drill back to source systems, on-the-fly calculated metrics, and its Financial Close, Consolidation, and Reporting (FCCR) capability mean it can carry a full planning and close cycle, not just a forecasting slice. If your problem is “we plan across finance, supply chain, and retail and want it all in one governed system,” Board is a serious answer.

Where Board leaves gaps

The gaps show up around what it takes to realize the promise, and around what an AI layer actually needs. Board’s single-version-of-the-truth claim depends on unifying finance and operations data inside Board first. The persona agents run on that governed platform data, so their accuracy is coupled to how completely and how well your data has been modeled in the platform. Board’s own writing makes the point that enterprise AI has a data problem; its answer is to move the data onto its platform.

That answer carries a cost. A broad, configurable platform implies significant implementation effort, usually partner-led, and pricing stays quote-based with no public tiers, so budgeting means a sales cycle. The persona-based agents are also new and trained on specific use cases, so breadth across every finance question you might ask is still maturing.

The deeper issue for anyone pointing AI at their numbers is reconciliation. An agent is only as trustworthy as the figures beneath it. If the reconciliation lives inside a monolithic planning platform, then every AI or agent you want to use has to run inside that platform to inherit trustworthy numbers. Teams that already run other tools, or want to use ChatGPT or Claude directly against their financials, need reconciled numbers that aren’t locked to one suite.

Where Rexfin is different

Rexfin starts from the data, not the planning UI. It connects your accounting, banking, and warehouse sources (or ingests uploaded statements), then builds one reconciled model where every figure traces back to its origin in the ledger. That reconciliation is the product, not a feature you configure after a year of implementation. You don’t have to migrate finance and operations onto a single platform to get a single version of the truth.

The difference shows the moment AI touches the numbers. Instead of an LLM estimating revenue from surrounding context, Rexfin lets the AI retrieve the exact figure, and a deterministic engine runs the calculation. Ask for last quarter’s gross margin by entity and you get the reconciled number, traceable to source, with no hallucinated totals and no “roughly.” Because the layer is deterministic, the math is repeatable rather than a probabilistic guess.

Rexfin is not trying to be a full planning suite. It’s the reliable financial-modeling layer for AI that sits underneath whatever tools and agents you already use, so any of them can work on numbers that tie out.

Which should you pick

Pick Board if you’re a large enterprise that needs deep Continuous Planning across finance, supply chain, and retail, with FCCR, persona agents, and governed data in one system, and you can absorb the implementation and enterprise pricing.

Pick Rexfin if your priority is getting AI to work on financial data with numbers that reconcile to the ledger, without moving everything onto one platform first. The two aren’t mutually exclusive. You can keep Board as your planning system and use Rexfin as the reconciled layer that feeds reliable figures to any AI or agent, including ones outside Board.

Want to see exact figures retrieved live from a reconciled model? Book a demo and bring your own numbers.

FAQ

Is Rexfin a replacement for Board? Not for most teams. Board is a full enterprise planning suite covering finance and operations; Rexfin is the reconciled data and modeling layer that makes AI reliable on financial numbers. Some teams run both, keeping Board for planning and using Rexfin as the trustworthy number layer for AI.

Do I have to move my data onto one platform to get a single version of the truth? With Board, the single-version-of-the-truth claim depends on unifying data inside the platform. Rexfin builds one reconciled model from your existing accounting, banking, and warehouse sources without a migration, so any AI or agent can query numbers that tie to the ledger.

Why does deterministic calculation matter for AI answers? An AI that estimates financial figures can be confidently wrong. Rexfin has AI retrieve the exact figure and a deterministic engine do the math, so results are repeatable and traceable to source rather than a probabilistic guess.