Trustible — Intake
AI Intake

Capture every AI use case before it goes into production

Structured intake workflows replace email chains, spreadsheets, and ad hoc processes. Every use case, model, agent, and vendor enters a risk-based system the moment it's submitted — routed to the right level of review automatically.

Continuous AI governance lifecycle
Intake
Manage Risk
Monitor
Comply
The problem

What AI intake looks like without a structured program

If any of these scenes are familiar, your intake process is creating risk, and slowing your team down at the same time.

Every use case gets treated the same, regardless of risk level
A low-risk internal analytics tool waits as long as a high-risk customer-facing model.
Requests pile up in email and Slack with no single source of truth
Ownership is unclear. Documentation lives in silos. Nothing is traceable.
Governance becomes the bottleneck the business works around
Teams deploy AI without review because the review process takes too long.
Decisions are difficult to trace or defend when auditors ask
No audit trail means no way to demonstrate due diligence after the fact.
How it works

Three capabilities that transform how intake works

Each capability addresses a distinct failure mode in how most enterprises handle AI intake today. Together they replace manual triage with a structured, automated system that scales with your AI program.

01 — Risk-based triage
Low-risk AI moves in hours. High-risk AI gets the scrutiny it requires.
Every submission is automatically scored on entry. Trustible's risk logic assigns each use case a tier and routes it to the appropriate review depth without manual triage.
  • Automated scoring on submission — no manual assignment
  • Three-tier system: auto-approve, standard review, enhanced review
  • Configurable thresholds match your risk appetite
Explore risk-based triage
Risk triage — new submission
1
Submission received
GPT-4 customer support agent
2
Automated risk score: Medium (62/100)
Customer-facing · PII access · no human override
3
Routed → Standard review track
Assigned to AI governance lead · SLA: 5 days
Reviewer notified · clock started
Automated assessment pre-populated
02 — Customizable workflows
Configure intake to match how your organization actually reviews AI.
Every organization has different approval stages, reviewer roles, and documentation requirements. Trustible's workflow builder adapts to your process — not the other way around.
  • Drag-and-drop workflow builder — no engineering required
  • Role-based assignments: legal, security, governance, business
  • Conditional branching by AI type, department, or risk tier
See the workflow builder
Workflow — HR screening model
Intake form submittedDay 1
Risk assessment completedDay 3
Legal review — EU AI Act checkDay 5
CISO sign-offPending
Final approvalBlocked
Overall progress60%
03 — Automated assessments
Pre-built templates cut reviewer workload by removing blank-page starts.
Every intake type — use case, model, vendor, agent — comes with a pre-populated assessment template built from Trustible's expert risk taxonomy. Reviewers guide and decide; the research is already done.
  • Separate templates for use cases, models, vendors, and agents
  • Risk dimensions pre-populated from Trustible's expert taxonomy
  • Mitigation suggestions surfaced inline for every flagged risk
See assessment templates
Assessment — vendor: DataRobot
Risk dimensions
Data privacy
Medium · 2 flags
Bias risk
Low · no flags
Cybersecurity 
High · review req.
Legal risk
Medium · 1 flag
Suggested mitigations
Request SOC 2 Type II report from vendor
Add data processing agreement to contract
10×
faster intake cycle
more use cases approved
60%
reduction in cycle times
The human layer

Expert governance embedded at every step

Trustible's intake workflows aren't configured by a software team — they're designed by practitioners who have built AI governance programs inside regulated enterprises. The risk triage logic, the assessment templates, and the workflow defaults reflect years of hands-on governance experience, updated continuously from real-world incidents and regulatory developments.

When you implement Trustible, our team works alongside yours to pressure-test your intake process, adapt workflows to your organizational structure, and ensure your program is defensible from day one.

Related solutions

What comes after intake

Intake is the first step. Here's where your program goes next.

From the Trustible team

Thinking on AI intake governance

Blog post
Agentic AI vs. AI agents: what governance teams need to know
Whitepaper
A governance framework for agentic AI
Get started

Start approving AI faster without adding headcount

See how Trustible's intake pillar gives your governance team the structure to process more AI, in less time, with a complete audit trail.

Live in 30 days No MLOps required Expert team included SOC 2 certified