AI use appears before governance is ready
Teams start using AI faster than internal controls are designed, reviewed, or documented.
Document-Aware AI Governance
Control document-heavy AI workflows before risky AI action continues.
PalmerAI checks prompts, business documents, scans, and mixed PDFs before model-side action continues. It can require approval when risk rises and keeps decision evidence reviewable later.
- Governed path Prompts, documents, and scans together
- Approval Explicit review when risk rises
- Evidence A reviewable record after the workflow runs
Why teams buy now
Governance pressure starts before controls are ready.
The risk changes when documents enter the workflow
The problem is not only prompt text. Business documents, scans, and mixed PDFs change what must be checked before AI action continues.
People ask what happened later
Operators, buyers, and auditors often need to review the decision path after the workflow has already run.
What PalmerAI actually governs
Prompt text is only one part of the workflow.
PalmerAI is built for workflows where a prompt alone is not the whole story.
Prompt text
Check policy fit, route requests, and decide whether risky AI action should continue.
Readable business documents
Govern workflows that include files such as PDF, DOCX, XLSX, PPTX, TXT, and CSV instead of treating them as an afterthought.
Scanned and mixed PDFs
Support workflows that need a bounded extraction or OCR path before the request can be reviewed and continue safely.
How a governed AI workflow runs
From intake to approval to evidence.
Request enters a governed intake path
Text is extracted when the workflow needs it
Policy checks fit and risk
Approval is requested when required
Decision evidence remains reviewable later
Who PalmerAI is for
Teams that need a governed path before the model runs.
Regulated teams
For teams where approval, evidence, and later review matter as much as output quality.
Document-heavy operations
For workflows that begin with files, scans, and mixed business documents rather than plain prompt text alone.
Compliance and advisory partners
For partners who need a governed workflow layer behind customer-facing delivery.
Why PalmerAI
Designed to govern risk before it becomes routine.
Checks before risky AI action continues
PalmerAI is designed to govern the intake path before a sensitive workflow simply passes through to the model.
Built for document-bearing workflows
The workflow can include prompts, readable files, scans, and mixed PDFs rather than assuming a text-only input.
Approval can become explicit
When the workflow requires it, PalmerAI can move from automated checks into an approval state instead of forcing every request down the same path.
Evidence stays reviewable later
The result is not only an output. It is also a reviewable decision trail that can be revisited afterward.
How Teams Start
Start with one workflow, not a platform rollout
Posture Review
Define the first workflow worth governing, the document types involved, the approval points, and the evidence expected later.
Pilot
Put one real workflow on a controlled path with bounded scope and visible proof of how the workflow runs.
Managed Governance
Keep the workflow live with governance tuning, operating support, and reviewable decision evidence.
What proof looks like
A readable decision record, not just a raw trace.
PalmerAI is designed to leave a reviewable decision record, not just raw usage traces.
- request_id
- workflow
- document_class
- policy_ref
- risk_level
- approval_state
- decision
- timestamps
FAQ
Common questions
Does PalmerAI replace the model?
No. PalmerAI governs the intake and decision path around model-side action.
Is this only for prompt text?
No. PalmerAI is designed for prompt-plus-document workflows, including readable files, scans, and mixed PDFs.
Do we need a full AI rollout first?
No. Most teams start with one workflow and expand only after the path is proven.
Can this be delivered through a partner?
Yes. PalmerAI supports both direct and partner-led delivery models.
Govern one workflow first
Start with a workflow that actually matters, then expand only after the controls and proof are working.