Ask anything. Get an answer that holds up.
Abacum runs AI inside your model, so every answer is consistent, reusable, and grounded in how your business actually works.
Scenario Studio
The CFO asks "What does it take to hit $2M in new bookings this quarter?" You don't say "I'll get back to you." You run it live.
Feature 1
Outcome-first
Set the target. AI finds the path using your actual model — adjusting only the levers you unlock.
Feature 2
Constraint-aware
Set limits on any input. "Increase pipeline, but don't blow past $300K in marketing spend."
Feature 3
Fully traceable
Every assumption is visible and sharable. Every adjustment is auditable. Glass box, not black box.
The FP&A Intelligence Stack
Trust the data. The rest follows.
Five integrated capabilities, one intelligent platform. Each layer builds on the one below — from trustworthy data to decision-ready scenarios.
Layer 1
Context Intelligence
AI classifies, maps, and cleans incoming data — flagging anomalies in real time so you stop second-guessing and start deciding.
AI Data Cleansing
Anomaly Detection
Smart Mapping
Open by design
Works with the AI tools your team already uses
Abacum connects via MCP protocol to the LLMs your organization already deploys. Ask questions about your financial data in Claude, Gemini, or ChatGPT — with full governance guardrails.
Proven impact
Finance teams that operate at the speed of the business
FAQ
How is Abacum's AI different from generic AI copilots?
Abacum Intelligence is purpose-built for financial planning. It's trained on FP&A logic — not generic language models — so it understands driver-based models, multi-entity consolidations, and planning workflows natively. Every output is fully traceable and auditable, operating within your existing governance and permission structure. We call this a "glass box" approach: you see the logic, you control the inputs, and you own the outputs.
What is Scenario Studio?
AI anomaly detection spots outliers—a sudden expense spike, a duplicate invoice, a revenue dip—that rules-based checks miss. Abacum’s AI-powered anomaly detection runs continuously: it learns normal behavior, scans every data refresh and pings you the moment something drifts. Using an AI platform for anomaly detection means dirty data never reaches your board deck, close happens faster and confidence in the numbers climbs.
How does MCP integration work?
Abacum connects to Claude, ChatGPT, Gemini, and other LLMs via the Model Context Protocol (MCP). This means your team can query Abacum's financial data directly from these tools — with the same role-based access controls and data governance you've set up in Abacum. No data leaves your permission boundaries.
Is my data used to train AI models?
No. Your financial data is never used to train Abacum's AI models or any third-party LLM. Your data stays contained and is isolated, encrypted, and governed by SOC 2 Type II, ISO 27001, and GDPR standards.
How quickly can we get started?
Most teams are fully live — headcount, revenue, and business planning — within 4-6 weeks. Abacum is designed for finance teams to own, not IT. Implementation is led by our team with no consultants required.
Who is Abacum Intelligence designed for?
FP&A teams, CFOs, and finance leaders at mid-market and enterprise companies. But the impact extends further: Abacum's democratization features let Marketing, RevOps, and executive teams self-serve financial insights safely — reducing the volume of ad-hoc requests that typically burden finance.
