Every data request,
governed from ask
to build.

Senior consultants and the ReQu platform, working alongside the tools your team already uses. Compliant, consistent and dev-ready before a developer or AI Agent sees it.

ReQu Studio dashboard showing a requirement with 92% completeness, approval chain and change log, with a duplicate KPI caught and pushed to Jira

WHY IT MATTERS

The costliest defect ships before a line of code is written

64%

of software defects originate during requirements analysis (Deloitte)

40%

of project budget lost to rework from vague requirements

60%

budget overrun on projects with poor requirements

100x

more expensive to fix bad requirements later in development

Meanwhile KPI definitions live in scattered spreadsheets, clarification meetings fill calendars, and the same metric gets built twice with two different answers. We fix that at the source.

A consistent standard your whole team can understand, and the AI-powered automation to make it work.

Audit log showing who approved a request

Compliance

Every request traces to who asked, who approved and which source it uses.

Three duplicate KPI definitions merged into one

Jira ticket linked to a ReQu requirement

Consistency

One definition per metric. Duplicates are caught before anyone builds them.

Inline workflow

Runs inside Jira and Azure DevOps, with approvals that route around absences.

Higher quality

Completeness scores assess real progress at every stage of planning. No extra meetings.

Evaluate. Improve. Sustain.

Backlog completeness score before and after a ReQu Health Check

2. Governance Setup · 6 to 8 weeks, platform included

Standardization, approval model and a de-duplicated KPI registry, wired into Jira or Azure DevOps.

3. Managed Requirements Practice · ongoing

Guidance when you need it, scheduled quality reviews and KPI stewardship as new teams join.

1. Requirements Health Check · 2 weeks, fixed fee

We ingest your backlog, score every item, name duplicate and conflicting KPIs, and hand you a prioritised 90-day plan.

Going from needing something, to having it done.

ReQu workflow: request, open questions, duplicate check, approvals, dev-ready

Every new KPI and request is compared against your whole catalog, and owners record which definition stands and why.

A data catalog tells you what exists. A ticket tool records what someone asked for. ReQu runs the process between them: open questions get owners, approvals route around absences, and every request ends dev-ready in Jira or Azure DevOps.

Two conflicting KPI definitions shown side by side for resolution

Built for the governance review

Metadata, not data

ReQu reads catalog metadata. It never touches your data unless you grant it.

Append-only audit log

Every change to every record, with who made it and when.

AI on your terms

A per-organisation policy decides which AI endpoints may be used, enforced at send time.

Single sign-on

SSO for your identity provider, with roles per line of business.

Start with a two-week Health Check.

See your backlog scored, your duplicate metrics named, and a plan your team can act on, before you commit to anything larger.

Book a Health Check

Every data request,governed from askto build.