AI policy drafting, built for actual policy teams
Draft a policy in five minutes,
not five weeks.
Porishi's AI doesn't write generic templates. It reads your existing policies, learns your voice and context, and drafts organization-specific policies you can actually ship, with the version control and approval workflow built in.
Bring a real policy. We'll draft and enhance it during the demo.
POWERING POLICY OPS ACROSS
Financial Services • SaaS • Higher Ed • Manufacturing • Government • Professional Services • Healthcare •
How the AI works
Not a chatbot. Not a template. A policy partner.
Ingest Your Context
Your existing policies become the AI's reference library.
Upload your handbook, code of conduct, and any existing policies. Porishi indexes them so every future draft is grounded in your tone, structure, and context.
Prompt or Template
Describe the policy. Or pick a template.
Describe what you need in plain language or start from our template library. The AI drafts a complete, structured policy, not a list of bullet points.
Edit, Approve, Ship
Refine, route through approvals, publish.
Edit inline, route through your real approval workflow, and publish company-wide. Version control and audit trail are captured automatically.
The Policy Enhancer
Already have policies?
Make them better.
The Policy Enhancer ingests your existing policies and modernizes them: stronger structure, clearer language, regulatory gap analysis, and an audit trail of every change, with you approving each one.
Modernizes language while preserving your intent
Flags gaps against current regulatory expectations
Suggests stronger structure, you accept or skip each one
Every suggestion is reversible, nothing changes without sign-off
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Everything around the AI
AI without the operating system around it is just a chatbot.
Porishi pairs AI drafting with version control, approval workflows, distribution, and acknowledgment, so the policy you generate becomes the policy you ship.
Bespoke Generation
Describe what you need. Get a real policy.
Free-form prompt that draws on your full document context. Specify scope, audience, and tone; Porishi handles the structure.
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RAG, Not Gen
Grounded in your
actual context.
Retrieval-augmented generation reads your real policies and writes in your voice, not in a model's default tone.
Templates too
Start from
a template.
Pick from our library, then let the AI personalize it with your company name, voice, and jurisdiction.
Built-in Governance
Version control + approvals + distribution.
Generated drafts route through real approval workflows. Every edit becomes part of an audit trail. Published policies are distributed and acknowledged.
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Why this AI is different
Most “AI for policy” is ChatGPT with a wrapper.
Porishi is purpose-built for the realities of corporate policy work: privacy, retention, citation, and the workflow around the writing.
Compared to Generic LLM
Your voice, not the AI's.
RAG grounds every draft in your existing policies, tone, and context. No more “robotic AI” output.
Most common switch
Compared to AI prompt + Word
Drafting & governance, together.
Generated drafts route into approvals, version control, distribution, & acknowledgment, not back into a Word doc.
Compared to Privacy concerns
Your content stays yours.
No cross-tenant training. SOC 2-aligned. Full data isolation. Your policies don't become someone else's training data.
What teams say
From idea to approved policy, the same week.
“I asked it for a remote-work policy in our voice. Eight seconds later I had a complete first draft that referenced our existing PTO and equipment policies. I was expecting to spend the day on it.”
JK
Director of People Ops
SaaS, 250 employees
“The Enhancer caught three regulatory gaps in our incident-response policy that our outside counsel missed last review. It's like having a senior compliance analyst reviewing every policy you have.”
MD
VP, Compliance
Healthcare
“What sold our legal team was that every AI suggestion is reversible and reviewable. Nothing goes live without a human signing off. That's not how most ‘AI for compliance’ tools work.”
RP
General Counsel
FinTech
< 5m
Avg. time-to-first-draft
10×
Faster review cycles
100%
AI edits requiring human approval
0%
Of customer data used for shared training
LIve AI Demo
Bring a policy.
Watch it become better.
We'll either generate a fresh policy you've been meaning to write, or enhance one you've been meaning to update. Live, in your environment.
Real generation. Real enhancement.
Your AI questions answered directly
Security overview shared ahead of time
Prefer to talk first?
Book a live AI Demo
A real person responds within one business day.
AI Question Answered
AI-native policy management.
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