Embed an expert. Compress the close.
Plug in your AI.
A senior accountant or payroll expert joins your team — you don't recruit them, you don't manage them, you don't onboard them. They bring the Paycraft AI platform with them. Your existing AI tools (Claude, internal copilots, custom agents) can talk to that platform directly. Cut back-office cost 30–50%. Close in five days. Audit-grade throughout.
Three ways enterprise finance teams try to "do something with AI." All three fail.
Eighteen months. Eight hundred thousand euros. A deck at the end, no software you own.
You write a check, nothing changes in your audit committee meeting.
Cheaper people doing the same manual work, with no leverage and no learning.
Paycraft is the fourth option — and it's the only one that compresses cost, close time and audit risk at once.
Three things on your team, on day one.
You don't buy software. You don't buy a project. You embed a teammate who happens to come with a platform and an API.
A senior accountant or payroll expert on your team. Without the recruiting.
Paycraft sends you a senior accountant or payroll specialist — a Forward Deployed Expert — who joins your Slack or Teams tomorrow. They sit in your standups, learn your business in week one, and own the close from week four. You don't post a JD. You don't run interviews. You don't risk a hire that doesn't work out.
The platform that does the heavy lifting.
Behind your FDE is the same AI platform that runs Paycraft's service delivery today. Categorization, reconciliation, payroll, KSeF, anomaly detection — drafted in real time, reviewed by humans, signed off, recorded in the audit log. Your in-house team stops doing receipts and starts doing judgment.
Your AI agents finally have a back office.
Whatever AI your team already uses — Claude, ChatGPT Enterprise, internal copilots — can now ask Paycraft anything. "What's our runway?" "Generate the JPK for May." "Flag the cost lines that grew more than 20% QoQ." All answered from your live books, with full audit trail, scoped per role.
This is the Palantir model — a forward-deployed human plus a platform that compounds — applied to back-office finance. For the first time in your industry.
Two numbers your audit committee will respect.
Within twelve months of your FDE's embed. Audited on the reference deal.
From fifteen or more. AI owns the mechanical work. Your team owns judgment.
Embed. Automate. Compound.
Embed
Your FDE joins your team and your Slack or Teams. They learn your business — your ERP, your bank feeds, your edge cases, your audit standard. By week four, you've agreed on the first three workflows they'll automate. MCP turned on in read-only mode.
Automate
Three workflows go from manual to AI-drafted-human-signed. Hours per close start dropping. Your FDE enables MCP write-access per workflow as your governance signs off. By week sixteen, your close cycle is half what it was.
Compound
New automations every sprint. Quarterly reviews where you decide what's next. Your FDE seat scales — one, then two, then a small embedded team as scope grows.
The questions your finance team would love to answer in 30 seconds.
Paycraft exposes the back office as a set of tools your existing AI agents can call (via Model Context Protocol). Read-only by default. Write access scoped per role. Full audit trail of every call.
What you get vs. the alternatives.
| PAYCRAFT FDE | BIG-4 PROJECT | GENERIC SAAS | BPO | |
|---|---|---|---|---|
| Embedded expert | ✓✓ | ✓ | — | ✓ |
| Software ownership | ✓✓ | — | ✓ | — |
| AI-native | ✓✓ | ? | ✓ | — |
| Audit-grade | ✓✓ | ✓✓ | ? | ✓ |
| Outcome-aligned pricing | ✓ | — | — | — |
| Speed to first ROI | 4–8 weeks | 6+ months | 3–6 months | 3+ months |
| Your AI agents can use it | ✓✓ | — | ? | — |
| Knowledge stays with you | ✓✓ | — | ✓ | — |
What your audit committee will ask. And what you'll be able to answer.
Every Paycraft workflow runs under a named, licensed accountant who carries the regulatory responsibility — not as a layer of theatre, but as the actual signing entity. The AI does the work. The human carries the judgment. The audit log records both. Every MCP call your AI agents make is logged with caller identity, tool, payload and timestamp.
{
"ts": "2026-05-27T11:42:08Z",
"actor": "ai:books.classify",
"approver": "kasia.nowak@client (KIDP #28492)",
"action": "categorize",
"tx_id": "tx_8x42q",
"before": null,
"after": { "category": "Cloud infra", "confidence": 0.98 }
}Embed a teammate. Compress the close. Plug your AI in.
A 90-minute Discovery Workshop with our enterprise team. No slideware. We walk your current close cycle and come back, in writing, with the three workflows we'd automate first and the FDE we'd embed.