Accelerate AI Intake
AI moves faster than intake. The backlog is ungoverned AI in production.
Every AI use case that can't get through intake in time is a system deployed without documented risk assessment, stakeholder sign-off, or an audit trail. Trustible replaces ad hoc intake — email threads, spreadsheets, Slack submissions that go dark — with structured workflows that triage by risk, route automatically, and get low-risk AI approved in minutes instead of weeks.
Results
10×
faster AI intake cycle
4×
more use cases approved
60%
reduction in governance cycle times
100%
audit-ready at every step
The problem
What happens when intake can't keep up
The gap between AI adoption and governance capacity widens every quarter. These are the failure modes that gap creates.
Submissions arrive through email, Slack, and shared spreadsheets
Every one looks different. Reviewers spend the first hour just figuring out what was actually submitted.
Every submission is treated the same regardless of risk
A low-stakes internal tool sits in the same queue as a high-risk customer-facing system. Neither moves fast enough.
You have no triage logic
So everything either gets heavyweight scrutiny it doesn't need — creating bottlenecks — or gets waved through with no structured review at all.
Submissions go dark after they're sent
The requester has no idea where it stands. After enough frustration, business units stop submitting and deploy AI without asking.
Approval decisions live in an email thread
No audit trail, no structured record, no way to show a regulator how the decision was made.
Your process wasn't built for this volume
What worked for ten use cases a quarter breaks at fifty a month — and the gap keeps widening.
How it works
Here's how Trustible fixes intake.
Four capabilities replace ad hoc submission with a structured system that triages by risk, routes automatically, and keeps every request visible end to end.
Capability 1
Smart intake forms and submission logic
Every organization gets a configurable intake form — shareable as a public link with no login required — that captures the right information at submission, with optional AI pre-screening that generates an initial risk profile before the request reaches a reviewer. Jira integration creates tickets automatically. The form asks business-language questions, not governance jargon.
- Configurable form, shareable as a public link — no login required
- Optional AI pre-screening generates an initial risk profile
- Jira integration creates tickets automatically on submission
Why this matters: Submissions arrive with structured documentation already populated, cutting the time reviewers spend on intake clarification before real review begins.
Intake form · public linkNo login
Business purposeCaptured
Data used & populationsCaptured
AI pre-screenMedium risk
Jira ticketAI-2391 created
Public submission link
Removes the biggest barrier to submitting at all.
AI pre-screen
An initial risk profile before a human ever looks.
Capability 2
Automatic risk triage at submission
The moment a use case is submitted, Trustible's rules engine evaluates it across five risk dimensions — Performance, Data Privacy, Cybersecurity, Ethical, and Legal — and assigns a tier. Low-risk submissions are identified for fast-track review or auto-approval with self-attestation. Medium and high-risk submissions are flagged for the right depth of scrutiny before they reach a human queue.
- Scores across Performance, Data Privacy, Cybersecurity, Ethical, Legal
- Low-risk → fast-track or auto-approve with self-attestation
- Reviewers can accept or override triage with documented rationale
Why this matters: Low-risk AI is approved in minutes, not weeks — with documented, auditable triage logic reviewers can accept or override.
Triage · Marketing copy generator5 dimensions
Performance · Data PrivacyLow
CybersecurityLow
Ethical · LegalMedium
Fast-track approved
Minutes, not weeks
Low-risk use cases clear the moment they arrive.
Accept or override
Every triage decision is logged with rationale.
Capability 3
Routed to the right reviewer, context included
When a submission needs human review, Trustible routes it to the right person by role, risk level, and organizational structure — with Section I (business case) pre-completed by the submitter, Section II (risk and benefits) queued for the reviewer, and Section III (decision) staged for the approver. Reviewers open a governance record with full context, not a raw submission that needs rework.
- Routes by role, risk level, and organizational structure
- Section I pre-completed, Section II queued, Section III staged
- Reviewers open a full governance record, not a raw submission
Why this matters: A Fortune 500 government contractor reduced its AI intake cycle from 3 weeks to 3 hours — nearly quadrupling use cases reviewed.
Review record · Fraud detection v2
Section I · Business case
Section II · Risk & benefitsReviewer · now
Section III · Decision
3 weeks → 3 hours
Context arrives with the record — no rework.
Role-based routing
The right reviewer, automatically, every time.
Capability 4
Intake tracking and status visibility
Submitters receive a guest task-tracker link that shows where their request stands without a login. Overdue reviews trigger automatic reminders. Governance leads see intake volume, cycle time, decisions, and bottlenecks in real time through the executive dashboard — so the queue never silently fills up without anyone noticing.
- Guest task-tracker link — status without a platform login
- Overdue reviews trigger automatic reminders
- Live view of volume, cycle time, decisions, and bottlenecks
Why this matters: 100% of intake submissions are tracked with documented status, owner, and decision record — no more submissions disappearing into email.
Intake dashboard · this month
Submissions
Avg cycle time3.2 days
Decisions made
BottleneckLegal · 4 waiting
Guest tracker link
Submitters see status without an account.
Live queue view
Bottlenecks surface before the queue fills up.
See how Trustible compresses AI intake from weeks to hours in a live walkthrough tailored to your AI program.
Category definition
What is AI intake?
Defining the discipline
AI intake is the process through which organizations receive, evaluate, and approve new AI use cases before they are deployed. It is the first formal checkpoint where a proposed AI system enters the governance program — capturing its purpose, data use, affected populations, and deployment context, then routing it to the right level of review based on its risk profile.
Effective AI intake is proportional — not every use case requires the same scrutiny — and it produces a structured record that serves as the foundation for all downstream governance: risk assessment, compliance mapping, vendor evaluation, and audit documentation.
Most AI governance programs fail at intake first, because the process breaks down under volume, inconsistency, or the absence of any triage logic that distinguishes a low-risk internal tool from a high-risk system making consequential decisions.
90-day rollout
From scattered submissions to a governed front door in 90 days
A staged path from one consistent intake channel to organization-wide, real-time visibility.
Days 1–30
Standardize the front door
Single submission channelLive
Email / Slack intakeRetired
Backlog migratedStructured
Launch the configurable intake form as the single submission point. Define fields, documentation, and Jira settings. Migrate the pending backlog into structured records with owners.
100% of requests through one documented channel
Days 31–60
Activate triage and routing
Risk tier at entryAuto
Low-risk cycle time−60%
Follow-on triggersOn
Enable AI pre-screening and automated tiering. Configure routing for low, medium, and high-risk use cases, and activate follow-on triggers for assessments and vendor docs.
Low-risk intake cycle time down 60%+
Days 61–90
Scale across the organization
Business units activeAll
Exec dashboardLive
Untracked deploymentsZero
Expand intake to all business units — including teams that historically bypassed governance. Deliver the executive dashboard and use intake data to find where reviews stall.
Real-time view of volume, decisions & bottlenecks
Common questions
What buyers ask before deciding
What's the difference between Trustible's intake and a form or ticketing tool?
A form tool captures information; a ticketing system tracks tasks. Trustible does both and adds what matters for AI governance: automated risk scoring the moment a submission arrives, routing logic that determines the level of review, pre-populated reviewer context, and a structured governance record that becomes the foundation for risk assessment, compliance mapping, and audit documentation. None of that exists in a Jira ticket or a Google Form.
Can we customize intake for different teams or use case types?
Yes. Forms, review steps, routing logic, risk rules, and approval paths are configurable in Trustible's Customization Center without Trustible support. Create different configurations per business unit, build conditional routing on use case characteristics, and define separate risk models for different contexts. Most organizations start from out-of-the-box templates that embed best practices and customize from there.
How do we handle business units that have historically bypassed governance?
The intake form is shareable as a public link with no login required, removing a common barrier — teams don't want to request accounts or learn a new platform. The lower the friction, the less incentive to go around the process. And once intake is in place, governance has dashboard visibility into what's been submitted, what's in review, and what's been deployed without any submission at all as it surfaces in the AI Inventory.
How quickly can we see results after implementation?
Most organizations launch standardized intake within 30 days and see measurable cycle-time reductions within 30–60 days of activating triage and routing. The change is most dramatic for low-risk submissions, which move from multi-week queues to same- or next-day decisions. Higher-risk submissions get better-structured review — reviewers spend time on governance decisions, not chasing missing information.
What comes next
Related solutions
Intake is where governance starts. Here's where your program goes from here.
Solution
Agentic AI Governance
Agents need governance before they act — not after. Agentic intake captures what matters for autonomous systems: trigger type, tool access, data scope, and action reversibility.
Explore
Solution
Centralized AI Inventory
Every use case that clears intake becomes a record in the AI Inventory — the single source of truth for what AI exists, who owns it, and what governance has happened.
Explore
Solution
AI Risk and Impact Management
Intake triage tells you a use case's initial tier. Risk and Impact Management is what happens next: structured assessments, mitigation tracking, and documented evidence.
Explore
See it in your environment
Stop letting AI outrun intake.
Trustible gives your governance team structured, automated intake that triages by risk and approves low-risk AI fast.
Live in 30 days
No MLOps required
Expert team included
SOC 2 certified