Accounting & Close Automation
Multi-site finance teams grow through acquisition and inherit siloed systems, manual compensation models, and a month-end close measured in weeks. We automate the back office (physician compensation, the close, and management reporting) with deterministic, auditable code, where the AI reads the legacy models but every dollar runs as versioned logic your controller can reconcile to source.
Book a back-office reviewAutomation your controller can reconcile, not take on faith
Most finance automation is a black box: it produces a number, but the team cannot see how it got there and cannot defend it to physicians or auditors. We build the opposite.
Deterministic, reconcilable
Compensation, allocations, and close logic run as versioned rules and lookup tables, not model output. Every dollar is reproducible and ties back to the system of record, so physicians and finance leadership can trace it line by line.
Built where you were burned
Most finance teams weighing AI have been promised autonomy before and watched it underdeliver. We confine the AI to reading legacy models and drafting language, and put the math under version control, so you get automation you can audit instead of another opaque vendor.
Delivered inside your walls
We work inside your own secure environment (managed identity, virtual desktop, governed model access), so PHI and financial data never leave your network and never touch a consultant's laptop.
From scattered spreadsheets to an engine you own
- A configuration-driven compensation engine that turns legacy, entity-specific models into structured rules, rates, and tiers, with the framework built to absorb new business units through configuration rather than rework.
- Deterministic, version-controlled logic for the math (splits, tiers, allocations, attribution), with AI confined to reading the legacy models and drafting language.
- Validation against your own system of record, so every run reconciles to the warehouse and the general ledger before anyone trusts it.
- Current-state process diagrams built as an engineering source of truth, not slideware, surfacing the single-point-of-failure and hygiene risks that acquisition-driven growth had masked.
- A ranked, ROI-sequenced roadmap (close acceleration, physician scorecards, legacy-model migration, pro forma) so leadership invests in order of return.
Delivered as a working vertical slice that runs end to end, then extended, not a recommendations deck.
Metrics it moves
- Month-end close days
- Compensation cycle time
- Reconciliation accuracy and audit trail
- FTE hours reclaimed from manual prep
- Back-office key-person risk
Typical path: an Advisory discovery into a Delivery vertical slice (one business unit or one close), then extension across the rest.
Proof, measured and caveated
From an engagement with a multi-site physician group that had scaled through acquisition without scaling the back office, where compensation and the close were still run by hand.
The compensation engine was built as a working vertical slice for one business unit, validated against the client's own data warehouse, with the configuration framework structured to extend across the rest. The close-cycle figure is a target quantified during scoping, not a realized reduction; that work sits later in the roadmap. The team had been burned by a prior AI vendor that promised 90% autonomous coding and delivered about 15%, which is why every dollar here runs as auditable, reconcilable code.
Put your close and your comp on auditable rails
Tell us where the back office is manual, siloed, or slow. We will scope a discovery and a working vertical slice that proves the approach before any larger build.