AI-Augmented Finance Operations
Board-ready finance narratives in hours — grounded & auditable
Generate variance explanations and board memos from your system-of-record data — without guessing. Every output links to source data, timestamps, and approvals.
How It Works
From close data to board memo in three steps
Connect your data
Upload your GL export from QuickBooks, Xero, or NetSuite. We read your data — we never write back.
Generate narratives
Scoped AI analyzes variances and drafts explanations. Every claim cites source data. The system won't guess — it asks or abstains.
Review & approve
Human finance reviewer checks every draft. Approval timeline, version history, and audit log are built in — not bolted on.
Sample Output
See what your board gets
A real variance memo generated from sample data. Not a mock-up — actual pipeline output with sources and approval trail.
Executive Summary
February revenue of $473.4K exceeded budget by $15.4K (+3.4%), driven by strong SaaS subscription growth that more than offset a shortfall in professional services. Total expenses exceeded budget by $14.1K (+3.3%), primarily from legal costs tied to the Series B process.
Operating income of $31.3K beat plan by $1.3K.
Topline Performance
| Metric | Actual | Budget | Var | Signal |
|---|---|---|---|---|
| Total Revenue | $473,400 | $458,000 | +3.4% | Favorable |
| Gross Profit | $383,700 | $372,500 | +3.0% | Favorable |
| Total OpEx | $352,400 | $342,500 | +2.9% | Watch |
| Operating Income | $31,300 | $30,000 | +4.3% | Favorable |
Full memo continues with revenue detail, expense variance, headcount, risks, and recommended actions...
Evidence Chain
Every claim in the memo links back to source data and the analysis checkpoint.
QuickBooks Online · Exported 2026-03-04 · 18 line items
Board-approved 2026 annual budget, v2.1
January 2026 actuals · Checkpoint VR-2026-01-0031
18/18 line items passed · 0 errors · 0 warnings · Injection scan pass
coa-template-novaCRM, v1.2 (hash: a3f8c1d...)
Approval Timeline
Every memo passes through validation, generation, QA review, and customer approval before delivery.
Schema check, injection scan, line-item reconciliation
Mar 5, 2026 09:14 UTC · AutomatedVariance analysis computed, AI-drafted explanations with source citations
Mar 5, 2026 09:47 UTC · Checkpoint VR-2026-02-0047Human reviewer checks accuracy, edits narratives, validates conclusions
In progress · SLA: 48 hoursCFO/Controller reviews and approves in portal before board delivery
PendingAI Controls
AI governance finance teams expect
Explicit commitments, not marketing claims. Only statements that are true for Engerman today.
No training by default
Customer data is not used to train public models by default. You control retention and access. We process your data to generate your memo — nothing more.
Full traceability
Every generated narrative links to source data and includes timestamps and approval history. Source → logic → output → approval, all recorded.
Hallucination containment
The system does not guess. If evidence is missing, it asks for clarification or flags uncertainty. Scoped AI on constrained tasks, not open-ended generation.
Access controls
Data isolation between customers enforced by design. RBAC, SSO, and least-privilege access. PII masked by default in reviewer UI.
Pricing
Transparent pricing, not sales theater
Start with a 90-day pilot. Scale when your team is ready.
Pilot
90-day design partner
- Up to 3 memos/month
- 48-hour SLA
- 1 data source
- Dedicated QA reviewer
- Weekly feedback calls
Starter
For lean finance teams
- Up to 3 memos/month
- 48-hour SLA
- 1 data source
- Portal access for team
- Audit log & version history
Pro
Multi-entity finance teams
- Multiple entities
- 24-hour / 4-hour close-week SLA
- Multiple data sources
- Custom COA templates
- Priority support
What drives price: data sources, entities, SLA tier, and support level. See full pricing breakdown →
Ready to see your data in a board memo?
Get a sample variance memo from your own GL export, or book a 20-minute evaluation with our team.