Discovery workspace · Now in beta
From Zero to Delivery.
ZYRO turns a rough project idea into reviewed requirements, architecture, and build-ready tasks, with AI doing the heavy lifting and your team making the calls.
No card required.
An illustration of the ZYRO discovery workspace: a project moving through ten discovery stages, a structured list of data entities filling in, a blocking question being answered by a reviewer, the stage being approved, and the resulting tasks being sent to GitHub.
Illustrative project.
The problem
Most projects go wrong before anyone writes code.
Discovery lives in scattered notes, slide decks, and someone's head. When that person moves on, so does the context.
Requirements get written before the problem is understood, so the plan answers questions nobody asked and skips the ones that matter.
The handoff to engineering keeps the decisions and loses the reasons. Six weeks later, nobody remembers why refunds over $500 need a second approver.
ZYRO gives discovery a structure, and keeps a human in charge of every step.
How it works
From idea to handoff, in five steps.
Describe the idea.
Guided intake captures the goal, context, and constraints. Add documents or a codebase as evidence.
AI runs structured discovery.
Ten stages, each with a clear objective and structured output. Not a chat transcript.
Your team reviews and decides.
Answer clarifications, request revisions, approve stages. Blocking questions stop approval until they're answered.
Get delivery artifacts.
Approved discovery becomes requirements, architecture guidance, diagrams, and risk and QA plans.
Hand off to engineering.
Reviewed tasks go to GitHub or Linear, or export as Markdown or PDF.
The 10 stages
Ten stages. Nothing skipped by accident.
Every stage has an objective, a job for the AI, a job for your team, and a defined output. You always know what's been covered and what hasn't.
Stage 01
Executive Understanding
Clarify the business objective, success definition, and constraints.
- AI drafts
- Extract the stated business goal.
- You decide
- Confirm the business priority.
Executive summary
- ObjectiveCut return handling from nine days to three
- SuccessMost returns started and tracked in the portal
- ConstraintLive before the January returns peak
Stage 02
Operational Domains
Map the business areas affected by the project.
- AI drafts
- Group the problem into operational domains.
- You decide
- Confirm domain names and business ownership.
Domains
- Returns intakeOwner: Customer Operations
- Warehouse receivingOwner: Logistics
- RefundsOwner: Finance
Stage 03
Actors & Stakeholders
Identify people, systems, and teams participating in the workflow.
- AI drafts
- Infer primary and secondary actors.
- You decide
- Validate real-world roles.
Actors
- CustomerStarts a return and tracks itPerson
- Warehouse associateReceives and inspects itemsPerson
- Finance leadApproves refunds over $500Person
- ShopifySource of order historySystem
Stage 04
Workflow Discovery
Describe current and desired operational flows.
- AI drafts
- Break the process into steps, decisions, and handoffs.
- You decide
- Correct the operational sequence.
Future-state workflow
- 1Return requestedCustomer, in the portal
- 2Label issuedAutomatic, carrier by region
- 3Item inspectedWarehouse associate
- 4Refund decidedRules first, finance above $500
Stage 05
Data/Entity Discovery
Identify core entities, records, and information exchanged.
- AI drafts
- Extract domain entities from the workflow.
- You decide
- Validate business meaning and source systems.
Entity candidates
- ReturnRequestorderId · reason · status · requestedAt
- Warehousecode · region · dockHours
- RefundDecisionamount · approver · decidedAt
Stage 06
Business Rules
Capture policies, validations, calculations, and decisions.
- AI drafts
- Translate narrative constraints into candidate rules.
- You decide
- Confirm policy accuracy.
Rules
- BR-03Returns close 30 days after deliveryValidation
- BR-07Refunds over $500 need finance approvalDecision
- BR-11Damaged items go to inspection firstRouting
Stage 07
Integrations
Identify systems, APIs, files, and events involved.
- AI drafts
- List upstream and downstream systems.
- You decide
- Validate integration ownership and access constraints.
Integrations
- Shopify Orders APIRead order and line itemsInbound
- Carrier labelsIssue a prepaid labelOutbound
- NetSuitePost the refund journalOutbound
Stage 08
Reporting & KPIs
Define visibility, audit, and performance reporting needs.
- AI drafts
- Suggest operational metrics and dashboards.
- You decide
- Confirm which metrics drive decisions.
Reports
- Return rate by SKUWeekly, for merchandising
- Time to refundDaily, for operations
- Refunds awaiting approvalLive, for finance
Stage 09
Risks & Edge Cases
Surface failure modes, exceptions, compliance concerns, and unknowns.
- AI drafts
- Identify operational, technical, and adoption risks.
- You decide
- Prioritize risks by business impact.
Risk register
- R-02Carrier outage during the peakFallback carrierHigh
- R-05Repeat returns from one accountFlag for reviewMed
- R-09Partial refunds on bundlesRule neededMed
Stage 10
Delivery Planning
Convert approved discovery into implementation-oriented outputs.
- AI drafts
- Draft structured requirements, QA scenarios, and task candidates.
- You decide
- Approve implementation scope.
Implementation tasks
- T-021Add return eligibility checkOrders serviceGitHub
- T-022Build the refund approval queueFinance consoleLinear
- T-023Map carrier label webhooksIntegrationsGitHub
Stages can be explicitly skipped when they don't apply. Every skip is recorded with its reason.
Human in the loop
AI drafts. People decide.
A chat window gives you a transcript. ZYRO runs a governed process, and nothing moves forward without a person signing it off.
- Approval gates
- No stage becomes a requirement until someone approves it.
- Clarifications that block
- Open questions stop approval, so assumptions don't quietly become scope.
- Evidence-grounded
- Outputs reference the documents and code you provided, so you can check where a claim came from.
- Full audit trail
- Every generation, revision request, and approval is recorded, with who did it and when.
Deliverables
What you walk away with.
Approved discovery turns into the documents a delivery team actually works from. Here's what they look like on a sample project.
Requirements
Architecture recommendations
Workflow diagrams
Entity relationships
Risk register
QA scenarios and UAT checklists
Traceability matrix
Implementation tasks
Who it's for
Built for the teams who turn ambiguity into plans.
Digital transformation consultancies
Run discovery the same way on every engagement, and hand clients a plan they can sign off.
ERP implementation partners
Map processes, entities, and integrations before configuration starts, not halfway through it.
Software development firms
Turn a client's rough brief into scoped tasks your engineers can estimate and trust.
- Product leads
- Business analysts
- Solution architects
- Delivery managers
Integrations
Fits your delivery stack.
- GitHubReviewed tasks become issues
- LinearOr issues in your Linear team
- MDMarkdown and PDFExport the full discovery
- { }REST APIRead projects, tasks, and exports from your own tools
Security
Enterprise-grade by design.
- Role-based access: Owner, Admin, Architect, Reviewer, Developer, Viewer
- Tenant isolation across organizations and workspaces
- Organization audit ledger and security event history
- Multi-factor authentication
- Encrypted customer secrets
- Tenant data export and deletion
Pricing
Priced by the work, not the seat.
Every plan is measured in discoveries, so you know what a project costs before you start.
Starter
$49/mo
Up to 1 discovery a month
Professional
$149/mo
Up to 3 discoveries a month
Business
$399/mo
Up to 9 discoveries a month
Enterprise
Custom
Up to 40 discoveries a month
What is a discovery?
One project taken through the ten stages, from the first brief to reviewed delivery artifacts: requirements, architecture guidance, diagrams, risks, QA plans, and tasks.
What is a credit?
Credits measure AI usage. We show plans in discoveries because that's what you're buying: one discovery is budgeted at about 2,500,000 credits. Credits you buy in a pack don't expire.
Does ZYRO replace Jira or Linear?
No. It feeds them. ZYRO is the discovery layer that comes before your tracker, and reviewed tasks go to GitHub or Linear once discovery is done.
How is this different from asking a chat assistant?
A chat gives you a transcript. ZYRO runs a staged process: every stage has an objective and a structured output, open questions block approval, and every approval is recorded with who made it.
What happens when I hit my limit?
Your monthly allowance is used first, then any credits you've bought. When both run out, AI generation pauses until the allowance resets at the start of the next month. Any paid plan can buy a credit pack at any time, or move up a plan.
Is ZYRO production-ready?
ZYRO is in beta. The full workflow, from intake through discovery, review, artifacts, and handoff, is built and working. We're still testing it with early teams and polishing parts of the interface, so expect changes, and tell us what you need.