Every voice, at once
Every discipline has a story.
Put them on one plane.
Ship one unified voice.
Describe what you want in plain English. Every team weighs in at once, each in its own terms, and signs off on one shared plan. Then the work ships through your own tests and deploy gates.
Live today at app.storyplane.io: plan sign-off, an audit timeline, and the delivery loop, running.
An organization-wide accelerator, not another dev tool
Your entire organization moves at AI speed, not just your developers.
AI made writing code fast. The rest of the lifecycle, approvals, reviews, security, release, still runs at meeting speed, and new code is useless until it reliably reaches production. Storyplane closes that gap.
Everyone keeps pace, not just engineering
One request fans out to product, design, security, compliance, and QA at once, each in their own terms. Sign-offs happen in parallel instead of one desk at a time, so your organization's decision speed matches the AI's writing speed.
Speed that actually reaches production
Code that stalls in queues ships nothing sooner. The signed-off story carries the work through code, tests, and deploy checks, so it lands in production as reliably as it was written, and just as fast.
AI made coding fast. Storyplane makes the whole path to production fast.
Governed from idea to value
Ship the software your whole company actually agreed on.
Work-management tools track tasks someone already agreed on somewhere else. Storyplane tracks the full lifecycle of the system, and gates every step of it.
With Jira
You hand-write every ticket, and everyone interprets it their own way. Approvals happen one desk at a time, and none of them block the code. The board quietly drifts from what actually ships.
With Storyplane
One request becomes one story that carries its own gates. No code until every required team signs off, each in its own language. No merge until your tests and branch rules pass. The same story governs the work, end to end.
A board tracks the work. Storyplane governs the system, from idea to value.
The meeting bottleneck
Meetings hand one person the baton. Storyplane hands everyone a voice.
That is how a meeting works. One voice speaks at a time, at the table or on the call, while everyone else waits their turn. Half the input never gets said, notes die in someone's notebook, and the plan that leaves the room has already drifted from what was asked.
In meetings
One baton, passed around the table. Sequential voices, evaporating context, and a plan that quietly becomes a different request by the time it ships.
On Storyplane
Everyone speaks at once. Each discipline tells its story in parallel, the mediator takes it all in, deduplicates the concerns, and writes one verified story end to end with everyone's input accounted for.
No loss of fidelity. All input recorded, fully auditable, with sign-offs from idea to delivery.
Built-in guarantees
Built so the AI can't quietly get it wrong.
None of this relies on the model behaving. These are structural properties of the system, true on the AI's worst day.
One story, not five copies
Product's doc, the ticket, the design file, and the code stop drifting apart, because every team signed off on the same story instead of their own retelling of it.
AI writes the code, it doesn't decide what ships
The model drafts translations and code. Branch rules, required tests, and deploy checks are plain deterministic settings, not a judgment call an agent can talk itself into.
Stays compliant when the rules change
When a standard changes, it goes through the same request, sign-off, and gated-ship process as any other change: reviewed and audited, never a quiet in-place patch.
Runs on your infrastructure, not just ours
Start on a hosted model with zero setup, then point Storyplane at your own local or edge models as you scale, without switching products.
Structure, not trust. The system enforces these so nobody has to remember to.
Sovereignty
Your data, your machines, your choice of cloud.
Storyplane runs where you decide: on a hyperscaler, in your private cloud, on the machines your team already owns, or any mix of the three. You choose your level of ownership, and your business processes never get locked into another vendor.
Private data stays on prem
Sensitive context never has to leave your network. Stories, plans, and history can live entirely on infrastructure you own, while you still reach for a hyperscaler whenever you want one.
Simple work goes to cheaper machines
Not every request needs a frontier model. Storyplane delegates routine translation and drafting to less costly local resources, and saves the big model for the work that earns it.
Doomed prompts die before they cost you
Requests that are malformed, incomplete, or destined to fail are caught locally, before a single token is sent to the model. You stop paying for answers that were never going to work.
Local preprocessing cuts token spend
Requests are trimmed, deduplicated, and prepared on your side of the wire, so what reaches the model is short and precise. Fewer tokens, same outcome.
Start fully hosted, grow into owned hardware as scale pays off, or run everything yourself from day one. The choice stays yours.
The numbers that matter
Cost, time, and confidence. Computed, not guessed.
Every signed-off plan arrives with the two numbers a stakeholder actually cares about, cost and time, plus a third nobody else gives you: a confidence score you can defend.
Deterministic math, not vibes
Confidence is computed from the plan itself: how completely each discipline weighed in, how many concerns are still open, and how well-specified the work is. The same plan always scores the same. An auditor can follow the arithmetic.
Calibrated by your own history
Time-to-delivery confidence comes from a velocity calculation over your own historical delivery data. It reflects how your teams actually ship, not an industry average or a model's hunch.
The plan is the proposal
For consultancies and fractional CTOs, the signed-off plan is the client deliverable: fully formed, costed, confidence-scored, ready to sign, and pushed straight into Azure DevOps or GitHub.
How it works, concretely
One request, walked through step by step
Here's the same request from the graphic below, start to finish.
“Customers keep asking to sign in with the account they already use at work, instead of managing another password.”
Product
Signed off
Staff sign in with their existing company account. No separate password to manage.
Design
Signed off
A "Sign in with SSO" button on the login screen, plus the redirect and error states.
Security
Signed off
SP-initiated SAML 2.0, signed assertions verified against IdP metadata, NameID mapped, replay protected.
Engineering
In progress
New /saml/acs and metadata endpoints, per-tenant IdP config, a vetted SAML library, session on a valid assertion.
Compliance
Signed off
Auth events retained for audit; assertion PII handled per the data policy.
QA
Pending
Cover success, a bad assertion, an expired certificate, and a deprovisioned user.
One request. Every team reads it in their own language, and signs off in parallel, from a single source of truth.
Someone asks in plain English
A product manager types: "Customers keep asking to sign in with the account they already use at work, instead of managing another password." No ticket template to fill out, no kickoff meeting to schedule.
Storyplane drafts the story and fans it out
An AI drafts what the request means for product, design, security, engineering, compliance, and QA, each in the terms that team already uses. Nobody has to translate it themselves.
Every team tells its part at once
Security reviews the SAML assertion handling while design shapes the button and error states, at the same time, not in a queue. Concerns are deduplicated into one story, and nothing moves to code until every required team has signed off.
Code goes out gated, not guessed
Once the story is signed off, an AI agent writes the code on a branch. Your tests, branch rules, and deploy checks decide whether it merges and ships, not the model.
Why it's called Storyplane
A team of stenographers. One mediator. One canonical story.
Imagine a team of stenographers, each a specialist in one discipline, sitting in every conversation and capturing everything said with perfect fidelity. They all feed a single mediator that keeps one canonical copy of everything, breaks down the important parts for every discipline in your organization, keeps each of them apprised when plans change, resolves conflicts when two disciplines pull in different directions, and tracks progress from idea to delivery.
That is what the name means. Everyone has a story that provides value. Storyplane splits a request into those disciplines, places them all on the same plane, lets everyone tell their story at once, and manifests them into one unified voice.
Translate
Each team speaks its own professional dialect, and the mediator converts between them. When engineering asks about federation, the stakeholder hears a question they can actually answer.
Filter
Each party sees only the concerns that touch them, in their own language. Legal never wades through deployment topology, and the backend team never reads the marketing brief.
Parallelize
One story goes to every concerned party at once and gathers requirements, questions, costs, and sign-off. Nothing is lost, because the mediator holds all the context.
We call this the stenographic mediator pattern. Read the pattern →
Cost, time, and confidence, computed from your delivery history. Not model vibes.
Early access
Be among the first teams on the plane.
Storyplane is onboarding early teams now. Leave your email and a line about how your team ships software, and we will reach out personally.
AI delivery your engineers and your auditors both trust.
Every story told at once. One plane. One voice. Shipped through your own gates.