Compyl AI is woven through your whole GRC platform, drafting evidence, mapping controls, answering questionnaires, scoring vendors, and quantifying risk. It prepares every decision; your experts review and approve. Humans stay in the loop, always.
The people who should be managing risk spend their days on data entry, and the AI that promises to help can’t be trusted with decisions that carry audit and legal weight.
Your best people collect evidence, map controls, and copy answers instead of managing risk.
Generic AI guesses and hallucinates, you can’t hand it decisions that carry audit and legal weight.
Point AI features bolted onto disconnected tools can’t see your whole program, so the work stays manual.
Compyl AI prepares the heavy lifting across your program and brings you only what needs a human decision.
Drafts evidence, maps controls, answers, scores.
Reflects your real controls, evidence, vendors.
Brings you what needs a human, with context.
One click; nothing is final until you say so.
Your approvals tune what AI prepares next.
Compyl AI isn’t a bolt-on chatbot, it’s woven through the whole platform, doing the repetitive work in every module so your team can focus on judgment.
Compyl AI removes the busywork, but you keep the judgment. Every AI output is presented for review, nothing is finalized until a person approves, and every action is logged.
Because it lives inside your Compyl tenant, Compyl AI reasons over your real controls, evidence, vendors, and policies, and only what each user is permitted to see.
Compyl AI is grounded in your real program and keeps humans in the loop, so you get the speed of AI without giving up the judgment your auditors and board expect.
No-code configuration of workflows, fields, and reports for every team, the structure AI works within.
Governance, risk, compliance, and third-party risk as one connected source of truth for the AI to reason over.
125+ proprietary integrations and your evidence library mean AI sees everything, not one system.
Agentic AI and 1,500+ blueprints do the busywork, with humans in the loop on every decision that matters.
FAIR models and Monte Carlo simulations put AI-surfaced risk in dollars, so the board decides on business impact. New in 26.2.
Compyl AI powers the features your team already relies on, explore where it shows up.
Ask your GRC platform anything in plain language and get answers from your data.
Explore Compyl Copilot →Objective vendor risk intelligence, assembled by AI in minutes.
Explore Third Party Insights →Answer inbound questionnaires and score vendor answers automatically.
Explore Questionnaire Assist →Quantify risk in dollars with FAIR models and Monte Carlo simulations.
Explore Risk Management →One control library, cross-mapped, so AI can satisfy requirements across multiple frameworks at once. Explore any framework below.
Compyl AI is agentic AI built into every part of the Compyl GRC platform, not a single chatbot, but intelligence woven through the work. It drafts evidence, maps controls to frameworks, answers and scores security questionnaires, assembles third-party risk intelligence, drafts policies, and quantifies risk in dollars. The principle is simple: AI removes the manual busywork, and a human reviews and approves every decision that matters. Your experts keep the judgment; the AI gives them their time back.
The rule is simple: AI prepares, people decide. Nothing changes in your program without an approval, and your data is never used to train models.
| Compyl AI prepares | You approve |
|---|---|
| Evidence blueprints from a plain-language request | That the evidence is right for the control |
| Control mappings across 70+ frameworks | The mapping |
| Security questionnaire drafts from your own evidence | Each answer before it leaves |
| Risk treatment plans and quantified exposure | The treatment and the budget |
| Policy gap analysis against controls | The policy change |
| Vendor risk summaries | The onboarding or offboarding decision |
Compyl AI is agentic AI built into every part of the Compyl GRC platform. Rather than a single chatbot, it works across the platform, drafting evidence, mapping controls, answering and scoring questionnaires, assembling third-party intelligence, drafting policies, and quantifying risk. It removes the manual busywork while your team reviews and approves every decision that matters.
No. Compyl AI does the heavy lifting and prepares the work, but a human stays in the loop and approves every decision that matters. You always review before anything is finalized, the AI removes the busywork, you keep the judgment.
Across the platform: Compyl Copilot answers plain-language questions from your data, Third Party Insights assembles objective vendor intelligence, Questionnaire Assist answers and scores questionnaires, and AI also drafts evidence, maps controls, drafts policies, raises tasks, and quantifies risk in financial terms.
Compyl AI is grounded in your own Compyl environment, your controls, evidence, policies, vendors, and risks, and your existing roles and access controls. Its output reflects your actual program, and you verify and approve it.
By automating the repetitive work, drafting evidence and policies, answering questionnaires, mapping controls, scoring vendors, Compyl AI turns hours of manual effort into minutes of review, so a small GRC team can run a far larger program without losing control.
No. Compyl AI works inside your tenant, reasons only over data each user is permitted to see, and your data is never used to train models.
AI prepares and people decide. Compyl AI drafts evidence, mappings, policies and questionnaire answers, but nothing changes in your program without an approval, and every approval is logged in a full audit trail.
See how Compyl AI removes the busywork across your whole program, so your team approves the decisions that matter and runs a bigger program without growing headcount.