AIchieve Intelligence
Ask anything. Get an answer that holds up.
AIchieve runs AI inside your model, so every answer is consistent, reusable, and grounded in how your business actually works.
Powering the world's best FP&A teams ★ 4.8 / 5.0
AI made you faster.
You’re still the bottleneck.
You get answers faster. But each one is a one-off that vanishes the moment the business changes. The next question puts you back at the start.
Every question still routes through you
Revenue by BU, forecast by region, spend by campaign, a tariff scenario, headcount — because you’re the only one who understands the model.
“I’ll just build it in an LLM” doesn’t hold up
You can’t vibecode a model that persists, governs access, or survives the analyst who built it. The moment the business changes, you rebuild.
Legacy platforms can’t keep up the pace
Add a product line, spin up an entity, restructure a region. Weeks of work. Before the model catches up, the business has already moved on.
AI Spaces
No more “let me build that report and get back to you.” Start from a library of finance templates — or write your own prompt — and watch the dashboard build itself on your model.
See AI Spaces in action
Template library
Proven prompts, ready to run
Skip the blank page. Pick from the library and get a working space built on your actual model — the reports finance runs every month, one click away.
Write your own
Your space, built from a sentence
No template fits? Describe what you need — the metrics, the audience, the breakdowns — and AI assembles it from your model.
Review and publish
Refine every detail, then publish
Adjust metrics, breakdowns, and layout until the space tells the right story. Then publish — stakeholders self-serve within the permissions you set.
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.
Layer 2
Modelling Intelligence
Build and maintain model logic as the business changes — no consultants, no brittle spreadsheets, no key-person dependencies.
Layer 3
Narrative Intelligence
Plans and performance become clear, shareable explanations. Stakeholders self-serve the “what happened and why” — without burdening finance.
Layer 4
Scenario Intelligence
Turn leadership’s “what ifs” into fully modeled options — with backsolving, sensitivity analysis, and trade-off paths in seconds.
Layer 5
Workflow Intelligence
Layer 5
Workflow Intelligence
Inputs flow in, context stays attached, planning runs itself. AI routes tasks, automates handoffs, and surfaces what needs attention.
Open by design
Works with the AI tools your team already uses
AIchieve 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
“While other platforms are retrofitting AI onto rigid architecture, AIchieve keeps getting smarter because AI was foundational from day one.”
Jordan Hale
Head of Finance
Read more →What makes AIchieve Intelligence different
A glass box, not a black box
Opaque AI shifts anxiety without resolving it. AIchieve Intelligence is built so every output is auditable, every assumption is surfaced, and finance stays in control.
Every output is traceable
See exactly which data sources, formulas, and assumptions drove any AI-generated result. Inspect the logic. No guessing.
Finance-grade governance
Role-based access, version history, approval workflows. Your AI works within the same permission structure as your team.
Built for finance, not generalists
Trained on financial planning logic — driver-based models, multi-entity consolidations, and GAAP hierarchies.
FAQ
How is AIchieve’s AI different from generic AI copilots?
AIchieve Intelligence is purpose-built for financial planning. It understands driver-based models, multi-entity consolidations, and planning workflows — not generic language prompts alone.
What is Scenario Studio?
Scenario Studio turns leadership “what ifs” into comparable modeled options with backsolving and sensitivity — grounded in your live plan.
How does MCP integration work?
AIchieve connects to Claude, ChatGPT, Gemini, and other LLMs via the Model Context Protocol, so teams can query financial data with the same role-based guardrails.
Is my data used to train AI models?
No. Your financial data is never used to train AIchieve’s AI models or any third-party LLM. It stays encrypted in transit and at rest, with role-based access and audit logging.
How quickly can we get started?
Most teams are live on headcount, revenue, and business planning within 4–6 weeks — designed for finance to own, not IT.
Who is AIchieve Intelligence designed for?
FP&A teams, CFOs, and finance leaders at mid-market and enterprise companies — with self-serve paths for Marketing, RevOps, and executives.
Make AIchieve your last FP&A platform
See how AIchieve Intelligence gives your team the clarity to decide faster — without sacrificing the rigor to be right.