Zentrik is AI software for product planning that turns customer calls, support tickets, documents, and roadmap ideas into evidence-backed product decisions, build-ready specs, and context for Jira and AI coding agents.

How is Zentrik different from Productboard or Aha!?

Traditional PM tools mostly help teams collect, organize, and track work. Zentrik is built to move from signal to execution: it turns evidence into opportunities, generates grounded handoffs for AI builders, and keeps delivery synced back to product context.

How does Zentrik work with Cursor, Lovable, and other AI builders?

AI coding tools are fast, but they still need clear product intent. Zentrik packages prompts, specs, evidence, and constraints into grounded context packs so tools like Cursor, Lovable, and similar builders can execute with less re-briefing.

How do we get started?

You can start without a heavy setup. Teams usually begin with a trial, explore the product flow, then connect systems like Jira when they want Zentrik to learn their delivery patterns and keep execution synced.

Zentrik fits product and engineering teams that can build quickly but need better alignment on what to build next. It is especially relevant for teams adopting AI builders and feeling the pressure between faster execution and weaker product context.

What integrations are available today?

Jira is generally available with two-way sync. Other integrations, context sources, and AI-builder workflows are available based on your setup and onboarding path. If a specific workflow matters to you, that is usually part of the evaluation conversation.

What results should we expect?

The main result is less planning drag and better continuity from discovery to delivery. Teams use Zentrik to reduce grooming and re-briefing, review more opportunities before committing, and keep customer signal attached as work moves into execution.

Does Zentrik replace Product Managers?

No. Zentrik frees product leaders from ticket administration so they can focus on what matters: understanding customers, making decisions, and shipping value. Humans remain accountable; Zentrik orchestrates the work that connects signal to execution.

How does Zentrik handle security?

Zentrik follows a least-privilege model for connectors, encrypts data in transit and at rest, and isolates customer data by workspace. For teams that need diligence materials, we can provide the relevant security and vendor review information during evaluation.

Customer signal to shipped product

Stop grooming backlogsMake better bets

AI product operations carrying evidence and direction from discovery to delivery.

Clarify the betEvidence and revenue make tradeoffs visible.

Make the callYour product team owns the decision.

Brief every builderYour team, Codex, and Claude share one brief.

Keep work alignedJira, Git, and your context stay in sync.

Your customers have already told you what to build next.

Every call, ticket, and review is useful , but a human team can’t read or keep it all in context. Expressed intent, quotes, and patterns across the form that inform what you build and why. Every possible solution is an weighted by that and validated with customers through . When ready, your team commits to it as an and manages delivery until it ships into your with the customer’s context intact. Where the starts again.

One worked example: online booking software for clinics.

Signal

A source, kept whole: a call, a ticket, a review, a transcript.

Support ticket

ZD-51027

“New patients keep booking 15-minute slots, but a first visit takes 30. We call each of them back to rebook. Can that change?”

Front desk · Northmere Family Medicine

240 signals this week. One is this ticket.

40 more clinics have asked for the same thing

Accounts

The customers behind the evidence, with segment and renewal context.

41 clinics asked for a version of it

from HubSpot

$639k at stake

$371k from customers, $268k in open deals

Northmere Family Medicine
first ticket
$4k ARR
Oakhaven Pediatrics$11k ARR
Kestrel Orthopedics$96k open deal
and 38 more clinics

Different words, one need

Insight

A pattern across evidence, with the accounts behind it and why it matters.

Online booking ignores each clinic’s own rules

A first visit needs longer, a scan needs a referral, a sick child can’t take a check-up slot. Online booking offers every patient the same slots.

“Sick visits keep landing in well-child slots.”
Oakhaven Pediatrics

“Every location has its own rules. Can yours handle that?”
Kestrel Orthopedics

58 tickets 21 calls 17 survey answers

Three ways to fix it

Ideas

A possible solution, weighted by the evidence behind it.

3 ways to solve it

clinics behind each

ALet each clinic set its own booking rules41

BMake every first visit 30 minutesPediatrics and physio need shorter visits12

CTurn off online booking for new patients3

Behind the choice, the customers’ own words

Evidence

A customer’s words, verbatim, tied to the signal they came from.

96 items behind idea A

“New patients keep booking 15-minute slots”

ZD-51027 · Northmere Family Medicine

first ticket

58 tickets, 21 calls and 17 survey answers, each linked to its sentence in the source.

Tried with six front desks before anyone builds it

Study

A test of an idea with customers. A prototype is one kind.

Prototype of idea A, with 6 front desks

3 days

“Would this slow your front desk down?”

NorthmereNo
OakhavenNo
TidewellNo
ClearlineNo
LindenNo
FernhillNo

None found it slower. 4 asked for a call-back when a rule blocks a patient, so it was added.

Committed, with the why attached

Initiative

The committed unit of work, with its stories and pull requests.

Booking rules per clinic

PEL-812

PEL-813Rules by visit type
Done
PEL-814Referral before booking a scan
Done
PEL-815Request a call back
In review

PR 2318 merged · 2 of 3 stories doneGitHub integration

“New patients keep booking 15-minute slots”
In the brief your team and coding agents read
first ticket

Shipped, and the docs changed with it

Product

The feature an initiative ships into, with its documentation kept current.

Online booking › Booking rules

Shipped in 4.8.0

Product docs · Booking rules

Patients see the same appointment slots at every clinic.

Each clinic sets its own rules by visit type: length, new or returning patient, referral needed.

When a rule blocks a patient, they can request a call back.

Updated with itHelp articleRelease noteAgent brief

Rewritten when PR 2318 merged, so the next brief starts from what shipped.

Then the clinics say what changed

2 weeks after release

What shippedGitHub integration

PR 2318 merged into 4.8.0
PEL-813 and PEL-814 closed by the merge
PEL-815 still in review

How it is usedPostHog integration

4%of new-patient bookings fixed by phone

Daily since release, down from 23%

What came back14 new signals

9 thanks3 questions2 issues

“No more rebooking calls. Thank you!”
Northmere Family Medicine
same clinic

“Per-location rules sealed it.”
Kestrel Orthopedics
$96k deal won

Each of them arrives as a new signal, and the loop starts again.

Works with the stack you already have

Bring every product signal into one context layer.

Zentrik connects calls, tickets, docs, roadmaps, CRM context, delivery systems, and AI agents so work moves without rewriting.

Zentrik

One context layer for every handoff

Import real demand.

Calls, tickets, CRM notes, and research enter one product graph with source links intact.

Repeated needs cluster without losing quotes.
Accounts and revenue stay next to the pattern.

GongFathomZoomTeams

ZendeskFreshdeskHubSpotSalesforce

Explore integration guides

Zentrik

Signal → Context

Product shouldn't be about tickets.

Teams evaluating Zentrik tend to react to the same thing: it removes planning drag without breaking product judgment.

Zentrik eliminates the grind of backlog prep—reducing 90% of the time spent on stories, acceptance criteria, and prioritization.
David Copeland
Director of Product, Livingston International

It made me say 'it was about time!' PMs haven't been getting the fancy tools like Copilot, which programmers have been enjoying for years.
Kaan Kabalak
Product Manager, Witful Vision

Zentrik could completely change product management, reducing planning time from weeks to minutes.
Sherry Brown
Strategic Product Management Leader

If a product isn't immediately useful, I won't come back. Zentrik gets this—it delivers fast, practical value without complexity.
Brandon Hunt
Product Manager AI/ML, LuxeTech

No boring loading screens. It actively explains its process, making it feel like a truly interactive planning assistant.
Malvika Pandey
Senior Product Consultant

When I used Zentrik, it really felt like the 'right way' to make use of AI.
Akhil Yash Tiwari
Senior Product Manager, Magicbricks

Zentrik eliminates the grind of backlog prep—reducing 90% of the time spent on stories, acceptance criteria, and prioritization.
David CopelandDirector of Product, Livingston International
It made me say 'it was about time!' PMs haven't been getting the fancy tools like Copilot, which programmers have been enjoying for years.
Kaan KabalakProduct Manager, Witful Vision
Zentrik could completely change product management, reducing planning time from weeks to minutes.
Sherry BrownStrategic Product Management Leader
If a product isn't immediately useful, I won't come back. Zentrik gets this—it delivers fast, practical value without complexity.
Brandon HuntProduct Manager AI/ML, LuxeTech
No boring loading screens. It actively explains its process, making it feel like a truly interactive planning assistant.
Malvika PandeySenior Product Consultant
When I used Zentrik, it really felt like the 'right way' to make use of AI.
Akhil Yash TiwariSenior Product Manager, Magicbricks

Initiatives / Review-ready reporting workflow / Tasks

Approved product brief becomes an executable task map

Critical path

28 pts

13 pts

Report engine

5 pts

Saved views

8 pts

Export router

8 pts

Source links

5 pts

Parity tests

3 pts

Context

8 pts

User test

5 pts

Review guide

5 pts

Rollout docs

Executable task map

ready

28 pts

Brief

decision + evidence

Review checks

filters + links

Build contract

scope locked

Jira

epic + pts

Spec

states

AI prompt

rules

Links

preserved

Checks

attached

State

synced

Task map

ready

Report engine

13 pts

Saved views

5 pts

Export router

8 pts

Source links

8 pts

Parity tests

5 pts

Context

3 pts

Rollout docs

5 pts

Briefproblem, scope, success checks

Feedbacksource-linked evidence moments

Keep context. Capture value.

Build faster without letting product decisions disappear.

Start with the product graph your team can inspect. Then hand engineering and AI builders the context they need to ship the right thing.

Frequently Asked Questions

The questions most teams ask before they start a trial or bring Zentrik into their workflow.

Still have questions?

Talk to the team→

Stop grooming backlogsrewriting prioritiessorting feedbackchasing contextcleaning statusreplaying contextgrooming backlogsMake better bets

Your customers have already told you what to build next.

Support ticket

41 clinics asked for a version of it

Online booking ignores each clinic’s own rules

3 ways to solve it

96 items behind idea A

Prototype of idea A, with 6 front desks

Booking rules per clinic

2 weeks after release

Bring every product signal into one context layer.

Import real demand.

Product shouldn't be about tickets.

Build faster without letting product decisions disappear.

Frequently Asked Questions

Stop grooming backlogsMake better bets