Shadow usage grows first
Teams connect tools quickly, but runtime rules, approval triggers, and evidence expectations usually come later.
EU-grade AI control layer
Put one control layer in front of every AI request and document.
Instead of each team calling models directly or pushing files into AI workflows informally, PalmerAI routes prompts and documents through one governed operating layer. Policy checks run first, approvals trigger when needed, and evidence stays reviewable later.
VisibilitySee what entered the governance layer, what decision was made, and why.
ControlApply policy checks, approval gates, and incident controls in one operating layer.
DocumentsGovern document intake, inspectability, approval state, and later document references.
ProofExport decision evidence for security, audit, procurement, and partner delivery.
About PalmerAI
A practical governance layer built for live AI workflows with a clear company story, a direct contact path, and a buyer-first entry motion.
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The Problem
The problem is not using AI. The problem is using AI without control.
Teams adopt AI faster than policy can keep up. Risky requests happen without review. Sensitive documents can bypass prompt-only controls. After the fact, most organizations still cannot clearly prove what happened, who approved it, or which policy applied.
Documents change the risk model
A prompt-only story breaks once resumes, contracts, customer files, spreadsheets, and reports enter the workflow.
Proof is usually missing
When security, procurement, or a customer asks what happened, most teams still cannot show a clean decision record.
The Solution
One governed layer around prompts, documents, approvals, and evidence
PalmerAI gives teams and compliance partners one controlled operating layer around live AI usage, so requests, documents, approvals, and evidence stay connected instead of breaking apart across tools, inboxes, and exceptions.
Policy
Requests and documents are checked against workspace policy before they move forward.
Approvals
Risky or uninspectable activity becomes an explicit review decision instead of a silent workaround.
Evidence
Approvals, denials, hashes, timestamps, policy versions, and reason codes become reviewable later.
Tenant and account governance
Customer teams and compliance partners can oversee usage across tenants, accounts, and workflow boundaries.
Prompts and documents stay in the same governed path
- Document intake uses a controlled route.
- Raw attachments do not bypass the system.
- Approved document references still stay inside normal request governance.
- Evidence views remain reviewable without exposing raw document contents by default.
What survives the workflow
- Policy checks happen before live workflow progression.
- Risky or uninspectable activity can trigger approval.
- Decisions become reviewable evidence later.
- Tenant and account boundaries stay explicit.
How It Works
From risky input to decision evidence in one controlled flow
Request or document enters the controlled intake path.
Policy evaluates the request, file type, inspectability, and detected classes.
Risk triggers approval or denial instead of silent runtime drift.
Decision state is logged with timestamps, actors, and policy version.
Evidence becomes exportable for operators, partners, procurement, and customer assurance.
Operators, admins, and partners each see the same governed path from their own responsibility boundary.
Built For Three Lanes
Compliance partners and compliance-sensitive teams
Compliance partners
Use PalmerAI as the runtime governance layer beneath privacy, security, AI governance, or compliance advisory work.
For compliance partnersRegulated teams
Govern prompts, document uploads, approvals, and evidence across operational workflows with a clear control model buyers can review.
For regulated teamsIndustrial and manufacturing teams
Apply AI in supplier, support, and document-heavy processes without losing operational control.
For manufacturingWhy It Is Different
Routing is not the same as governance operations
PalmerAI is built for runtime governance, not just direct access or routing visibility.
| Capability | PalmerAI | Direct LLM API | Generic AI gateway |
|---|---|---|---|
| Prompt governance | Built in | Custom work required | Usually limited |
| Document intake control | Controlled route with policy fit | Usually absent | Rarely first-class |
| Human approval flow | Native operating pattern | Custom work required | Usually externalized |
| Audit-ready evidence | Decision evidence model | Ad hoc logging | Observability oriented |
| Tenant and account governance | Explicitly supported | Custom work required | Often routing-centric |
| Partner delivery model | Built for partner use | No | Not the core value proposition |
Open Evidence Pack Sample
Review the structure of a request and document evidence pack without exposing raw content.
Open Evidence Pack SampleCompare with direct LLM API
See where fast model access helps and where governed runtime control becomes the harder problem.
Compare with direct LLM APICompare with generic AI gateway
See the difference between routing visibility and approvals, document control, and review-ready evidence.
Compare with generic AI gatewayHow Teams Start
Most teams should start with a posture review, then move into a pilot, then add managed governance once the workflow and operating model are clear.
Posture Review
Map current AI use, workflow risk, approval points, document boundaries, and evidence needs.
Pilot
Prove governance on one real workflow before expanding.
Managed Governance
Add ongoing governance support once the operating path is already defined.
Entry offers from EUR 2,500. Managed governance from EUR 1,800 / month.
The homepage explains how buying starts. Pricing carries the scope detail.
What PalmerAI Is Not
Governance boundary, not inflated scope
- Not a generic routing layer.
- Not a full enterprise DLP replacement.
- Not legal advice.
- OCR, antivirus scanning, and full image understanding are not implied by default.
Frequently Asked
Questions buyers usually ask first
What does PalmerAI control?
PalmerAI controls prompts and document uploads through policy, approval, and evidence across the same governed operating path.
Can this fit partner-led delivery?
Yes. The operating model supports compliance and advisory partners managing governance outcomes across tenants.
What is the best first step?
Start with the posture review. It creates a concrete map of where AI is being used and what the right controlled pilot should be.
Start with one governed workflow
Use the posture review to define the first workflow, the approval path, and the evidence you want to keep reviewable later.