Secure AI Agent · Product Management
AI applied to discovery and the roadmap
A specialist configured to keep the discovery log, write PRDs with the scoring math shown, read the roadmap live from Linear or GitHub, and close release notes per audience.
Companies that trust UPX
Capabilities
What the Product Agent can do
Main areas of work for the Product Management AI Agent in your operation.
Discovery log
Records interviews and organizes findings by theme, with the source excerpt.
PRD with scoring
Drafts the document and applies RICE or ICE with the weights the team declared.
Roadmap reading
Reads now-next-later straight from Linear or GitHub and flags what changed.
Release notes per audience
Splits the same release into versions for customers, support, and the internal team.
Metrics tree
Connects each product metric to the source that feeds it.
Support and sales feedback
Groups input from both channels and points out the recurring pattern.
Skills
Capabilities that compose the specialist
Skills add specific capabilities to the Secure AI Agent according to the processes it needs to execute.
- Interview synthesis
- Turns the conversation into findings by theme, with the excerpt cited.
- Declared scoring
- Applies RICE or ICE and shows the math for each item.
- Release notes writing
- Splits the same release by audience, without repeating technical jargon.
From discovery to release, with the product call left to the team
Connect your product tools, define what the agent can do, and let the evidence work happen within your operation's limits.
- Connect the product tools
- The agent works where the roadmap already lives.Connect Linear or GitHub, Notion, Slack, and the support channel so the Secure AI Agent has access only to what it needs to read the roadmap and organize findings.
- Ask for the work
- Talk to the agent in natural language.Request the synthesis of this week's interviews, the PRD for an initiative, or the release notes for the next version. The agent understands the context, applies the configured skills, and follows the operation's rules.
- The agent organizes. You decide.
- The roadmap order stays yours.The agent records, scores with the declared weights, and drafts within the defined permissions. Moving cards on the board, changing scope, and setting priority still require a product decision.
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Integrations
Connected to the tools where the product is already discussed
The Product Agent can query the roadmap and run tasks in the systems your team already uses.
Flow
What goes in, what the agent does, and what comes out
From raw interview records to a document ready for review, following your operation's rules and permissions.
Inputs
- Interview recordsDOC
- Roadmap itemsAPI
- Support feedbackCSV
Processing
Secure AI Agent
Processing the task
- Read
- Group
- Scorerunning
- Draft
Output
Completed
Document prepared
- Findings by theme
- Scoring with the math
- Notes per audience
Control
You define how far the Agent can act
Different actions can operate with different autonomy levels, always within your operation's rules.
- 1
Query
Reads the roadmap and records and answers with the reference.
- 2
Prepare
Builds the synthesis, the PRD, and the release notes.
- 3
Request review
Waits for validation from whoever owns the product.
- 4
Execute
Performs the action within the defined limits.
Levels are configured per type of action, according to each operation's policy. Moving cards on the board, changing scope, and publishing release notes always stay under human approval.
Get started
Put a Secure AI Agent to work.
Start on the platform or choose the plan that fits the pace of your operation.
Security that can be verified.
Certifications and attestations
UPX maintains SOC 2 Type II and ISO 27001, with independent audit over its information security controls.
Privacy and regulation
- LGPD
- Operations follow Brazil's Law 13.709/2018. In AI Agent contracts, UPX acts as data processor; the legal basis remains with your company.
- Zero Data Retention
- A product policy, not a certification: all market AI models used by the Agents have ZDR under contract, and processed content is not retained after execution.
- Retention and deletion
- The retention policy is defined by contract. Once the contract ends, data is deleted within the agreed period.
Frequently asked questions
Common questions about the Product Agent
What teams usually ask before putting an agent to support product management.
Does the agent write code or open pull requests?
No. The scope is discovery, documentation, and roadmap reading. Writing, reviewing, and shipping code is the Software Development Agent, which is a different profile.Does it decide the roadmap priority?
No. The agent applies RICE or ICE with the weights the team declared and shows the math for each item. The final order is a product decision — the agent makes explicit which weight put each item in that position.Does it move cards in Linear or GitHub?
Not by default. Roadmap reading is live, but writing to the board is a sensitive action and stays under the approval of whoever owns the product.How does it use interview records?
The agent groups findings by theme and keeps the source excerpt next to each one. When a conclusion has no excerpt backing it, that is explicit instead of becoming an assertion.Is product data used to train models?
No. Content processed by Secure AI Agents is not used to train UPX models or third-party models.Can we audit what the agent did?
Yes. Every action is logged: what was queried, what was proposed, when, in which system, and under which permission. The history stays available for review and auditing.How long does it take to go live?
It depends on the tools involved. The starting point is connecting the board and the document repository, then expanding the scope as the roadmap reading is confirmed.
Custom agents
We build and manage the agent for your product
From discovery log to release notes: we build the agent that organizes the evidence and keeps the roadmap readable.