Sprint-Ready reads your design documents and writes granular developer tickets straight into Azure DevOps — each one citing the exact section it came from, each one checked against your live backlog before it's created, each one carrying its own audit record. The work your BA does for three days, done in a single run.
No credit card. No sales call. No demo booking. Account is live the moment you sign up.
We gave Sprint-Ready the public design document for a major Apache Kafka feature, as it stood the day before its engineers opened their first ticket, then followed what the real team built, fixed and discovered over the next three and a half years. Every ticket is public, so you can check it.
Click to see what Sprint-Ready wrote, and what the real team found later:
Sprint-Ready's acceptance criterion, 12 February 2020: The offset rules are validated before and after every remote segment deletion; any operation that would break them is rejected or deferred.
What the team found, 16 Aug 2023: Remote segments were being deleted before the log start offset was updated, so a consumer reading from the beginning got UNKNOWN_SERVER_ERROR. Marked a Blocker for the 3.6.0 release, weeks before it shipped.
Sprint-Ready's acceptance criterion, 12 February 2020: Duplicate segments resulting from a leader-to-follower transition are handled during remote retention clean-up.
What the team found, 8 Jul 2023: After a leader change the remote log manager could upload duplicate segments, which could affect followers and consumers. Fixed for the 3.6.0 release.
Sprint-Ready's acceptance criteria:
Traced to: KIP-405 Section "Proposed Changes > High-level design" and "RLM/RSM tasks and thread pools > 1. Remote Log Manager (RLM) Thread Pool > Copy log segments to remo
Source: the Apache Kafka project's public design document (KIP-405) and Jira tickets, Apache License 2.0, names replaced with labels. Sprint-Ready is not affiliated with or endorsed by the Apache Software Foundation. Legal notice.
Why regulated teams still type their backlog by hand, how Sprint-Ready writes traced tickets without inventing requirements, how your knowledge and the regulations shape every ticket, and what it costs. Narrated, with captions.
Control-panel and example scenes use fictional data; no real client data is shown. Ticket screenshots are from Sprint-Ready's own test projects.
Short on time? Watch the short version (about 90 seconds).
Requirements management platforms, traceability tools, ALM suites — they are built on the same silent assumption: that a human has already read the specification, decomposed it into work items, written the acceptance criteria, and typed it all in. They manage and audit that work. Some now add AI to help draft it, but turning your real specification into traced, deduplicated tickets in your engineers’ board is still left to a person.
So the most expensive people you employ spend their weeks converting documents into tickets. It is slow, it is inconsistent between authors, and the traceability link back to the source paragraph — the thing an auditor actually asks for — gets reconstructed from memory weeks later, if at all.
For a Class C medical device programme, that regulatory documentation load “can rival the engineering effort itself.” It is the single largest unautomated cost in regulated software delivery.
A missing link between a source requirement and its acceptance criteria isn't a documentation tidiness problem. It is the finding that stops an audit.
Five stages, fully automated, running against your own Azure DevOps project. No new interface for your engineers to learn — the output lands where they already work.
Drop in Word and Excel specifications. Text is extracted, OCR artefacts stripped, and multiple documents merged into a single clean context.
A strictly constrained model on AWS Bedrock decomposes the source into granular tickets: title, description, acceptance criteria, data gaps, and a source reference.
Every candidate is scored against your live backlog — fetched at runtime, not a stale index — using two independent similarity signals.
Novel work is created. A near-identical match is merged into the existing item instead of duplicating it. Low-confidence output is tagged for review.
The routing decision, both scores, both thresholds and the confidence tier are written onto the work item itself — and into your own traceability record.
Plenty of tools claim “AI-powered” and “traceable.” These are the specific engineering decisions behind those words — each one is either running in production today or it isn't on this page.
If your document doesn't say it, the engine will not write it. Where a general-purpose assistant helpfully fills a gap with a plausible assumption, Sprint-Ready raises an explicit DATA_GAP against the ticket and forces a human decision.
Two independent signals run before anything is created: symmetric character-bigram similarity, and directional word containment measuring how much of the new ticket already exists in a candidate. Three gates must agree before a merge is triggered — deliberately conservative, because a wrong merge costs more than a duplicate.
Every routing decision is written into the work item's own History field: what it was compared against, both similarity scores, both thresholds, which item matched, and the confidence tier. It travels with the ticket forever.
Every ticket carries a severity × probability risk index, computed in code — never trusted from the model's own arithmetic — and banded LOW/MEDIUM/HIGH/CRITICAL. An unrecognised output fails safe to UNCLASSIFIED rather than guessing.
Every per-ticket traceability record your account has ever generated — source document, section reference, work item, decision, timestamp — assembles into a single downloadable matrix on demand from your control panel.
Most AI tools either know nothing about your business or “know” things they make up. Sprint-Ready works from your document, and brings two separate knowledge bases to every run. Each has one job, and neither is ever allowed to create a requirement.
Upload your glossary, coding and UI standards, SOPs, design guides and earlier approved specifications. They are embedded privately for your company only, and retrieved when a new document relates to them.
An approved, versioned library of regulations, guidance and standards summaries. Choose the regulatory regions that apply to your product, for the whole company or for a single team.
The crosswalk is AI-suggested and shows how your work maps to the texts you selected. It does not certify compliance; your quality and regulatory team remains responsible for that. Detail, including its current verification status, on the Trust & Compliance page.
You're handing us specifications you'd rather not see on a competitor's desk. Here's the short version of how that's protected — the long version, with direct citations to AWS's and Anthropic's own published policies, is one click away.
Processing runs on Amazon Bedrock, inside AWS's own compliance boundary. Per AWS's and Anthropic's published policies, your content is not shared with the model provider for the provider's own purposes and is not used to train or improve any model — commercial and API usage is explicitly excluded from Anthropic's default training-data policy.
Every request resolves who you are from a signed session on our server — never from a value your browser supplies. There is no request path where changing a URL or form field shows you another client's documents, tickets, or traceability records.
The application and database run in AWS's EU (Stockholm) region, and AI processing runs on Amazon Bedrock through its EU cross-region profile, which keeps requests within AWS's EU regions. Any third-party credential you give us — an Azure DevOps or Jira token — is encrypted at rest and never displayed again after entry, including to our own team.
Full detail — exact retention windows, the AWS/Anthropic policy language itself with direct links, tenant-isolation design, credential handling, and testing evidence for every capability on this page — is on the Trust & Compliance page.
Including the one most teams are actually using right now — a senior person and a keyboard.
| Capability | Manual (BA writes them) | Enterprise ALM Jama, Polarion |
Regulated eQMS Ketryx and similar |
Generic AI Jira AI, ClickUp Brain |
Sprint-Ready |
|---|---|---|---|---|---|
| Works from your raw specification documents | Yes (slowly) | Partly — Jama parses PDFs into requirements | Partly — AI drafting inside the eQMS | Partially | Yes |
| Writes sprint-ready tickets into your board, in bulk | That's the cost | Not yet — requirement generation announced | Partly — drafts requirements & tests | Yes | Yes |
| Refuses to invent missing requirements | Usually | Quality checks flag weak requirements, after authoring | Not described | Not by default | Yes — flags a data gap |
| Duplicate check against your live backlog before creation | Human memory | Similarity analysis (add-on) | Detects duplicate requirements | No | Yes — two signals, three gates, automatic |
| Decision record on the ticket itself | No | Separate matrix | Separate system | No | Yes |
| Section-level source citation per ticket | If disciplined | Manual or suggested links | Manual linking | No | Yes — automatic |
| Engineers stay in Azure DevOps or Jira | Yes | No — separate suite | Yes — via integration | Yes | Yes |
| Price published on the website | n/a | No — quote only | Free early-stage tier; otherwise contact sales | Yes | Yes — in full |
| Try it without talking to sales | n/a | Free trial | Free early-stage tier | Yes | Yes — 30 free credits |
| Time to first output | Days per document | Weeks of setup | Weeks of setup | Minutes | Minutes |
Assessment of third-party tools is based on their own published product and pricing pages, checked 24 September 2026. Ketryx describes AI that drafts requirements, tests and specifications and detects duplicate or conflicting requirements, with a free tier for early-stage companies and “contact sales” otherwise (pricing). Jama Connect Advisor scores requirement quality and parses PDFs into requirements, with requirement generation announced; pricing is by request. Polarion’s similarity analysis is a paid AI add-on. Setup timescales for ALM platforms reflect commonly reported implementation experience. Comparisons describe product capability, not quality; these are capable tools, mostly built for a different job. The full, cited comparison is in our white paper.
Every input below is yours to change. Nothing is hard-coded to flatter the result — move the sliders to your real numbers and see what comes out.
Ticket-writing time covers decomposition, acceptance criteria and recording the source link — not just typing a title. UK contractor day rates for 2026 put a senior business analyst at £400–£550 and senior risk & compliance at £450–£650 (source). A day is taken as 7.5 productive hours.
An hour of senior time back is worth more than its day rate once it's redirected to product work, client delivery or the next raise — not just the cost you stop paying. 1× values it at the bare day rate; move the slider up if that time reliably converts to higher-value work for you.
This model assumes generated tickets still get reviewed — it counts the authoring time you stop spending, not the review time you keep. Sprint-Ready removes the blank page, not the engineer's judgement.
Most tools in this category make you book a demo before you can even learn the price. We think that's backwards — you should be able to test the thing on your own document, today, and decide for yourself.
Sign up and the credits are already in your account. No card details and no auto-billing. They last 30 days: enough to run one or two real specifications through the engine, roughly 20 tickets at the measured rate. One free trial per company, with a work email. Need a little more to finish your evaluation? Ask from your control panel.
Self-Serve and Pre-Seed accounts activate instantly. You can run your first document through the engine before anyone at Sprint Ready knows your name.
Output lands in the Azure DevOps project you already use. If you stop, you keep every ticket, every source citation and every audit note already written. There is nothing to migrate back.
No monolithic enterprise contract required to start. Built to scale with your regulatory maturity — and honest about what each tier does and doesn't include today.
The on-demand ingestion engine. Buy credits, upload your unstructured specs, and get back a clean, structured, source-referenced export you can take anywhere.
The complete automated pipeline. Sprint-Ready bridges your specification documents directly into Azure DevOps, managing traceability and duplicate control continuously in your backlog.
The sovereign deployment. The Sprint-Ready architecture containerised and deployed inside your own Virtual Private Cloud, so source documents never leave your boundary.
The pre-seed paradox is real: you need a credible, traceable design history to raise your seed round, and you can't fund a £40,000 quality system to produce one. So the documentation slips, and it becomes the thing that slows the raise.
The Pre-Seed Incubator exists to break that. If your company has raised under £1M, you get the full Professional architecture — direct Azure DevOps or Jira integration, Dedup Guard, embedded audit trail, persistent memory, hazard & risk classification, automated traceability matrix export — for £0 per month.
And the catch, stated plainly. Razor and blades. The infrastructure is genuinely free and stays free. Your account is loaded with 30 free credits to prove it works. When those run out you simply buy processing at the standard rate (£399 / 500 credits). No time limit, no expiry, no pressure to upgrade until your Series A makes Professional the cheaper option anyway.
Access is instant. Funding status is verified afterwards, not before — we're not going to make you wait in a queue to start working.
Subject to verification of funding status (<£1M), reviewed after signup.
Most regulated-ALM vendors don't publish these numbers. We do. Here is every tier, every price, and what each one does and doesn't include.
All prices in GBP, exclusive of VAT. Sprint Ready Ltd is not currently VAT-registered; registration is pending. Credits are consumed by document processing. Purchased credit packs do not expire; Professional monthly credits expire 12 months after they are added; free trial credits last 30 days.
We sell into an industry where a vendor's claims get verified, so we'd rather show you the evidence than ask you to take a marketing page on faith. Exactly what's been tested, how, and when — down to real execution IDs and Azure DevOps work item numbers — plus honest status on the handful of things still being proven, is on our Trust & Compliance page.
See the testing evidence → See the real-world test →No — and this is the single most important design constraint in the engine. The generation prompt operates on strict sole-source reliance: the model may only produce content derived from the supplied document. Where information is missing, it is required to emit an explicit DATA_GAP against the ticket rather than close the gap with an assumption.
Tickets whose data-gap count is high relative to their acceptance criteria are automatically classified LOW confidence and tagged NEEDS-CLARIFICATION in Azure DevOps, so the weakest output identifies itself instead of hiding in the backlog.
No, neither can add a requirement. Your knowledge base holds your own glossary, standards, SOPs and earlier specifications; it keeps tickets in your language and consistent with past work, and it is never cited as a ticket's source. The regulatory reference library holds approved official texts for the regulatory regions you choose (UK, EU, US and international standards); it produces a regulatory crosswalk on each ticket.
Every citation is checked against the approved texts in your selected scope, and anything else is removed before the ticket is created. If a regulation expects something your document doesn't cover, the ticket flags a regulatory gap for your team to decide. The crosswalk shows how your work maps to the texts; it does not certify compliance.
Yes, by design — and here's exactly how review works. Once a ticket clears the duplicate check it is created directly in your Azure DevOps project, carrying its source reference and its audit note. If confidence is low, it's tagged NEEDS-CLARIFICATION right on the work item itself.
Review happens where your team already works — on the ticket, in Azure DevOps — not in a separate queue on a separate platform. A tagged ticket is exactly as visible, assignable and blockable as any other ticket your process already reviews; nothing reaches your customer-facing board without a human deciding to move it there. We deliberately didn't build a pre-Azure holding queue: it would mean reviewing every ticket twice, once on a platform not built for review and again on Azure DevOps, which slows delivery without adding real safety.
Processing runs on Amazon Bedrock inside our AWS environment. Per AWS's and Anthropic's own published policies, your content is not shared with the model provider and is not used to train or improve any model — see Security & data above for the short version, or the Trust & Compliance page for the exact policy language and source links. If your procurement process requires a specific data processing agreement, contact us and we'll work through it properly.
No, and any vendor telling you their requirements tool is “IEC 62304 compliant” is worth a second question. Those standards apply to the medical device software you build. Sprint-Ready is a tool used within your process — the relevant obligation is tool qualification and supplier control, not device certification.
What we provide for that purpose is a documented tool-qualification summary describing what the engine does, its known limitations, and the evidence behind them, plus the per-ticket audit trail and traceability record your own quality system can point to. It is not a certification and is not a substitute for your regulatory or QA professional's judgement. See the Trust & Compliance page.
Azure DevOps and Jira. Both have real, logged production executions behind them using the same ticket generation, Dedup Guard, and traceability logic — Jira's first end-to-end run was 2026-09-14, against an internal test account rather than a live customer's so far. If you'd like to be its first live customer account, tell us and we'll prioritise it with you — exact testing status for each is on the Trust & Compliance page.
On the Self-Serve tier you can also take structured CSV/Excel output and import it wherever you like, which is how consultants working across several client systems tend to use it.
Word (.docx), Excel (.xlsx), text-based PDF and flowchart or process-diagram images (PNG, JPG and similar) are all verified in production. Scanned, image-only PDFs are not read reliably, so export a text-based version where you can.
Credits are consumed by document processing, priced on real model usage rather than a per-seat abstraction. As a concrete reference point: in our accuracy benchmark on 25 September 2026, three specifications produced 46 complete tickets. At current pricing a ticket uses about 2.7 credits, roughly £2.18 at the Self-Serve rate of £399 per 500 credits. That includes the knowledge-base and regulatory reference retrieval.
That is one measured run, not a guarantee: longer and denser documents cost more. Your 30 free credits exist precisely so you can measure it on your own material before spending anything.
Everything already generated stays in your Azure DevOps project — tickets, source citations, audit notes. It's your data in your system; there's no proprietary store holding it hostage and nothing to migrate back.
Self-Serve has no commitment at all and purchased credits don't expire. Professional carries a 12-month minimum term, which is stated plainly on the pricing above rather than buried in terms.
Take a specification you've already written. Put it through the engine. Look at the tickets, the source citations, the data gaps it refused to guess at, and the audit note on each work item — then decide. It costs you nothing and about ten minutes.
No credit card. No sales call. Instant account activation.
Want us to run a specific document with you?
Email the engineering team directly at audit@sprintready.dev