REQQA.ai — ROI Calculator

Annual £ Saved

£0

Productivity + shift-left

Hours Saved / yr

Across all roles

Wait Days Saved

Portfolio elapsed

Payback

—

Months

Cumulative Net Benefit over Project Timeline Months 0 → 48 · live calculation

@ 12 Months

£0

Savings: — · Cost: —

—

@ 24 Months

£0

Savings: — · Cost: —

—

@ 48 Months

£0

Savings: — · Cost: —

—

Quick start — pick a persona Loaded: Mid-size product team

Picking a persona populates every yellow field below. Edit any one to model your scenario.

A. Team composition

BAs / POs / Tech-spec leadsPrimary REQQA users FTE

Senior DevelopersReceivers of specs; affected by rework avoidance FTE

QA / Test Engineers FTE

Automation EngineersAffected by STORYTELLER FTE

Architects / Regulatory AffairsRelevant for regulated engagements FTE

B. Loaded hourly rates

BA / PO loaded rate £/hr

Senior Developer loaded rate £/hr

QA loaded rate £/hr

Automation Engineer loaded rate £/hr

Architect / RA loaded rate £/hr

Blended consult rate (audit / regulatory) £/hr

Annual paid hours per FTE240 working days × 7.5 hrs hrs/yr

C. Workload volume

Applications in scopeDistinct apps in REQQA tenant apps

Requirements per app per yearNew + materially changed reqs/app

Stories per requirement stories

Analysis cycles per requirementRe-analyse / improve loops cycles

Releases per year releases

Regulatory audits per year audits

D. Defect baseline & phase costs

Defects detected — Unit testing /yr

Defects detected — Integration /yr

Defects detected — System /yr

Defects detected — UAT /yr

Defects detected — Production /yr

Cost — Requirements phase10× rule £/defect

Cost — Unit testingCA industry default £/defect

Cost — Integration testing £/defect

Cost — System testing £/defect

Cost — UAT £/defect

Cost — Production £/defect

E. Current-state time on task

% BA/PO time on requirements authoring decimal

% BA/PO time reviewing requirements decimal

Manual review meeting size people

Manual review hrs/cycle (per attendee) hrs

Manual story authoring hrs/Gherkin story hrs/story

Manual trace-matrix hrs per audit hrs

F. REQQA improvement factors

% reduction in authoring timeTemplates + Unscrambler + generation decimal

% reduction in review meeting hoursDeFOSPAM / 11-dim replaces sync review decimal

Assisted story authoring hrs/storySTORYTELLER review-and-edit time hrs/story

% defects shifted leftCaught at requirements vs. later decimal

% reqs containing latent ambiguityIndustry: 56% of defects trace to req ambiguity decimal

REQQA catch rate on ambiguous reqs decimal

Wasted dev hrs per escaped ambiguous req hrs

AI dev velocity multiplierCopilot / Claude Code productivity factor ×

REQQA-assisted trace-matrix hrs/audit hrs

G. Wait time / lead time

Manual review-cycle elapsed daysConvene → meet → debrief days

REQQA review-cycle elapsed daysAI runs in minutes days

% releases that are revenue-producing decimal

Revenue per release per day-saved £/day

H. REQQA investment

Annual REQQA licencePer-engagement / annual tenant £/yr

One-off implementation / training £

Annual AI / API token cost £/yr

Discount rate (NPV) decimal

Defaults reflect UK 2026 loaded rates and CA Test Case Optimizer industry phase-cost benchmarks. See the methodology brief for sourcing.

Annual £ Saved (productivity + shift-left)

£0

incl. revenue uplift: £0

Total Hours Saved / yr

~0 FTE-years equivalent

3-Year ROI

—

3-yr cumulative net: £0

Breakdown by frame

Savings frame	Hours / yr	£ / yr
1. Requirements authoring	0	£0
2. Review-meeting reduction	0	£0
3. Story generation	0	£0
5. AI-era rework avoidance	0	£0
7. Regulatory documentation	0	£0
Productivity total	0	£0
Cost avoidance
4. Defect shift-left	—	£0
Wait time / revenue
6a. Calendar days saved (portfolio)	0 days	—
6b. Revenue uplift (revenue releases)	—	£0
GRAND TOTAL — Annual £ saved	—	£0

Cost & ROI

Year-1 cost (licence + tokens + impl.)	£0
Year 2 / 3 cost (licence + tokens)	£0
Year-1 net benefit	£0
3-year cumulative net	£0
3-year NPV	£0
Payback period	—

How to read these numbers: defaults reflect a vendor-baseline view. The most-leveraged inputs are % review reduction, % defects shifted left, and AI velocity multiplier. Wait days is a portfolio aggregate — total cycle time eliminated, not per-release acceleration.