Agents

An agent for every job on your team's plate.

Discovery

Read your tools, classify the signals, and surface what the Brain should converge on.

01 / Public

Market Intel

Researches your product against the wider market every cycle. Maps where you lead, where you're exposed, and which alternatives are winning attention. Public data, no integrations, value on day one.

Market discovery
02 / Customer

Voice of Customer

Listens across every channel customers reach you on. Support tickets, sales calls, NPS, reviews. Patterns grouped by theme, severity scored. The third time customers raise the same blocker, you know before they churn.

Customer discovery
03 / Competitive

Competitor Intel

Watches every meaningful move competitors make. Pricing shifts, product launches, positioning pivots. Each one cross-referenced to the deals it could threaten and the roadmap items it could obsolete. So you never hear about a launch first from your own sales team.

Competitive intelligence
04 / Pipeline

Sales Intel

Reads your pipeline and call transcripts. Surfaces what's actually blocking deals and what's winning them, in customers' own words. The objection that closes ten deals in a row becomes a prioritized signal, not a Slack message that scrolls past.

Sales discovery
05 / Adoption

Adoption

Watches how your product is actually used. Catches drop-offs, adoption curves, and features quietly spreading or stalling. Ties each behavioral pattern to the customer reality driving it. Usage data tells you what. This tells you why.

Adoption discovery
06 / Roadmap

Prioritization

Reconciles what's been promised, what's in flight, and what's overdue against the signals reshaping priority. Replaces opinion-led prioritization with evidence. Every re-order traces back to a specific signal, source, and timestamp.

Evidence-based priority
Execution

Turn approved signals into the artifacts your team actually ships. Evidence carries forward, automatically.

07 / PRD

PRD

Turns approved signals into a draft product requirements doc. Every problem statement traces back to the customer voice, sales objection, or competitor move that surfaced it. You start with the evidence loaded, not a blinking cursor.

Requirements drafting
08 / Story

Story

Breaks a PRD into well-formed user stories with acceptance criteria. Engineers see why each story exists, not just what to build. Reduces the "why are we building this?" question that slows every standup.

Story generation
09 / Loop Close

Loop Close

Customers and stakeholders raise requests that often slip through. Tracks who asked for what, watches whether it shipped, and closes the loop automatically when it does. Trust compounds because nothing gets forgotten.

Stakeholder follow-through
Custom

No two product teams are the same. Spin up a specialist for the job that matters to you, built to the same standard.

Build your own agent

Some questions are unique to your product, your customers, your moment. We'll build a specialist for it that follows the same patterns as every built-in agent. Same governance, same audit trail, same way of feeding the Brain.

Talk to us
Brain

Many agents. One orchestrator.

Agents read your tools in parallel. The Brain promotes only what converges across them.

Market IntelLive
"Payment fees flagged in 6 G2 reviews this week."
Voice of CustomerLive
"3 enterprise calls flagged payment complexity this week."
Sales IntelLive
"Payment objections up 40% in late-stage deals."
Competitor IntelLive
"Stripe lowered fees: 2.9% to 2.7%, effective Apr 28."
AdoptionLive
"Payment flow drop-off rising in enterprise tier."
Brain
Cross-referencing
Strategic brief

3 themes worth acting on.

01
Pricing pressure on paymentsCompetitor Intel + Sales Intel
HIGH
02
Churn risk, enterprise tierVoice of Customer + Adoption
HIGH
03
Roadmap pressure on paymentsMarket Intel + Sales Intel
MED
Cross-referenced 5 agents · 3 themes
Activation

Headless by default.

Proalto AI runs in the surfaces your team already opens. Briefs and convergences land in Slack. An open API for systems that need to react. A dedicated web app when you want one.

app.slack.com/client/T-acme/product-strategy api.proaltolabs.com/v1/briefs/latest brain.acme.com/dashboard
# product-strategy
2 members · LIVE
PA
Proalto AIAPP9:00 AM
Weekly brief delivered · 3 signals worth acting on:
01Pricing shift at 2 competitors · 3 sources
02Churn signal in enterprise tier · 2 agents
03Payments pressure on roadmap · Market + Product
SC
Sarah Chen9:42 AM
@Proalto AI run the competitor agent on signal 01.
PA
Proalto AIAPP9:42 AM
Competitor Intel agent complete
Stripe: 2.9% → 2.7% (effective Apr 28)
Impact: 3 enterprise contracts at risk · ~$340K ARR exposure
SC
Sarah Chen9:43 AM
Pull additional context on this release. Share the evidence chain.
PA
Proalto AIAPP9:43 AM
Evidence chain · 4 sources converged:
01Stripe blog · Apr 22 · primary announcement
02TechCrunch · Apr 23 · industry coverage
03LinkedIn · 3 Stripe exec posts
04Internal calls · 2 sales mentions Apr 25
94% convergence · no conflicting signals
View full evidence chain →
GET https://api.proaltolabs.com/v1/briefs/latest Send →
Params Headers (2) Body Auth Tests
AuthorizationBearer pk_live_••••••••••••
Acceptapplication/json
Response 200 OK Time: 142 ms Size: 312 B
1{
2  "week": "2026-W17",
3  "signals": [
4    { "id": 1, "sev": "HIGH", "theme": "pricing" },
5    { "id": 2, "sev": "HIGH", "theme": "churn" },
6    { "id": 3, "sev": "MED""theme": "payments" }
7  ]
8}
Acme · Q2 cycle 17

Maturity, tokens, and roadmap timeline.

Strategy maturity assessmentLive
Competitive awareness
88
Signal-to-backlog
76
Evidence-based prio.
92
Investment alignment
80
Token usage · cycle 17
142.3K / 200K
↓ 12% UNDER CYCLE BUDGET
Roadmap timeline · Q2-Q4 20265 initiatives
Q2 · Apr-Jun Q3 · Jul-Sep Q4 · Oct-Dec
Pricing strategy
High
Churn intervention
High
Payments redesign
Med
Onboarding flow
Med
API v2 platform
Low
Platform

The infrastructure underneath the intelligence.

What makes every cycle predictable, recoverable, and yours.

Cost optimization

Reads cache. Calls batch. Work dedupes across cycles. Scale a customer 10x and the bill doesn't follow.

~73% saved

Learns from corrections

Every override and edit teaches the system. Today's correction becomes tomorrow's default behavior.

Every cycle

Audit-ready by default

Every signal carries its source, timestamp, and the agents behind it. Nothing reaches a brief unbacked.

100% traceable

Your data stays yours

Your data, your memory, your briefs. None of it crosses tenant lines. Ever.

Tenant-isolated

Recovers from failure

One agent crashes mid-cycle. The rest keep working. The failed one resumes from its last checkpoint.

Checkpointed

Runs everything in parallel

All agents work simultaneously. A cycle takes as long as the slowest agent, not the sum of them.

All at once

Built for long context

Past cycles compress into structured memory. Strategy compounds across quarters, not just within a session.

Compounding