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AI fire risk assessment report software

AI fire risk assessment software where every paragraph traces back to its evidence.

FRA Flow uses AI to draft the narrative parts of your housing fire risk assessment from your structured observations, photos and risk scores. Every AI-generated sentence carries a footnote link back to its source. The competent person can verify and sign off without trusting the AI in the dark.

No card. Two reports a month, free forever.

  • Evidence-linked AI paragraphs
  • AI never signs off
  • UK and EU hosted only

Why generic AI in fire safety reports is a problem

Hallucinated fire safety prose is worse than no prose at all.

01
Generic large language models hallucinate fire safety details that are wrong but plausible. A reviewer who trusts AI prose gets blindsided by a missing standard reference or a wrong residual risk score.
02
AI without evidence linkage cannot be defended. If a landlord challenges a finding, you need to point to the photo, the observation, and the assessor’s reasoning, not an AI prompt.
03
Forms-only software bolts AI onto an unsuitable data shape. The model has nothing structured to draft from, so it invents.
04
Reviewer experience suffers. If every AI paragraph requires line-by-line verification, the reviewer is doing more work than before, not less.

How FRA Flow uses AI

Drafting that the reviewer can actually verify.

01

Drafts from structured evidence

AI generates narrative paragraphs from your tagged observations, photos, locations and risk scores. The model has real source material to work from, not a vague prompt.

02

Footnote-style evidence links

Every AI sentence carries a verifiable link back to the observation that justified it. Click the footnote, see the photo and the assessor’s note.

03

Editable everywhere

Every paragraph is editable inline. Edit, regenerate, accept, or rewrite from scratch. The audit trail records who changed what.

04

Reviewer sees AI separately from human-edited

Mode chips in the reviewer queue show what the AI drafted, what was edited, and what was hand-written. The reviewer reads what matters first.

Three things to demand from AI in fire safety software

AI built for a YMYL topic, not a generic content workflow.

01

Evidence linkage, not hallucination

If the AI cannot point to the source observation, the AI is making it up. FRA Flow refuses to generate without linked evidence.

02

Human-in-the-loop on every paragraph

AI drafts. The assessor reviews and edits. The reviewer signs off. The AI never signs off, and the audit trail records that explicitly under the [Fire Safety Order 2005](/standards/fso-2005/).

03

Standard-aligned output, not generic prose

AI drafts in BS 9792 vocabulary because the source data is structured against BS 9792 sections, not pulled from a vague compliance prompt.

What an AI-drafted FRA paragraph actually looks like

A worked example, end to end.

On a Tuesday morning the assessor records three observations on a third-floor lobby fire door: a missing self-closer, a visible gap on the strike side, and a missing fire safety sign on the lobby wall. Each observation has a photo and a high-risk score, all tagged to the right BS 9792 section.

Tuesday evening the assessor opens the report drafting view. AI generates a paragraph describing the lobby fire door’s condition, the residual risk, and the recommended actions. Every sentence in the paragraph carries a footnote link back to one of the three source observations. The assessor reads the paragraph alongside the source evidence, edits one sentence where the residual risk reasoning needs sharpening, and queues the report for review.

Wednesday morning the reviewer opens the queue. The mode chip on the paragraph reads "AI-drafted, edited by Richard". The reviewer clicks the first footnote, sees the photo of the door’s strike side, and signs off. The audit trail records the AI generation, the assessor’s edit, and the reviewer’s sign-off, each with timestamps. The landlord has a defensible chain back to the visit by Thursday.

How we build

Designed beside experienced UK housing fire risk assessors.

FRA Flow is built in close collaboration with practising fire risk assessors who run UK housing FRAs every week. Every workflow choice, from how observations attach to BS 9792 sections to how the reviewer queue surfaces exceptions, is informed by real housing assessment work, not generic compliance-software thinking.

That collaboration shapes our editorial discipline too. Pages on this site are reviewed by people who have done the work, not by generalist marketers. We do not publish invented metrics, we do not run a "trusted by" logo bar before a customer has shipped a report through the platform, and pre-pilot status is stated where it applies.

01
Pages are dated. Every meaningful page carries an Updated date stamp.
02
Pages are attributed. Every page has a named author byline.
03
Stop-slop discipline. Every push that touches marketing copy goes through an automated scan that blocks AI drama before deploy.
04
BS 9792 references are sourced. Standards content links to BSI, legislation.gov.uk, and our own standards reference.

Plans and pricing

Priced like a report production system.

Reviewer and admin seats are free on every paid tier. Report credits are pooled across the team so one busy assessor does not run out while another has spare capacity. Annual billing saves around 17 percent. See full tiers, including the free tier and Enterprise, on the pricing page.

Solo

Independent assessor

£79 /month

1 assessor included

  • 5 report credits per month
  • Unwatermarked PDFs + AI drafting
  • Action register + 1 free reviewer seat
Most popular

Practice

Small consultancies, 2–10 assessors

£249 /month

+ £49 /month

  • 8 report credits per assessor
  • Unlimited free reviewer + admin seats
  • Client branding profiles + QA workflow

Consultancy

Multi-landlord teams, 10–25 assessors

£499 /month

+ £79 /month

  • 15 report credits per assessor
  • Per-landlord branding + multi-client dashboard
  • Priority support + bulk report packs

Prices shown are monthly. Save around 17% by switching to annual at checkout. See full pricing details for overage rates and feature comparison.

25+ assessors, SSO, or a custom integration?

Enterprise plans start from £1,500 / month and include a named CSM, SLA, and custom domains.

How we compare

Where AI in FRA Flow fits next to AI in other tools.

Most legacy FRA tools have bolted on a "generate paragraph" button that drops generic prose into a Word-shaped report. The model has no structured source data to work from, so it invents. The reviewer has no footnote to verify against, so they read every paragraph manually or sign off on faith. FRA Flow is built so the AI cannot generate without linked evidence in the first place.

If your team uses PocketSurvey, you keep the tablet-first capture you are used to and pick up AI drafting that traces back to the observations PocketSurvey leaves orphaned. If your team uses Riskbase, the change is the AI design itself: evidence-linked rather than prompt-led, and reviewer-first rather than assessor-only.

If your team uses Word and a generic AI tool side by side, the gap is the audit trail. Pasting AI prose into a Word doc destroys the link between the model output, the assessor’s edits, and the reviewer’s sign-off. FRA Flow keeps that chain intact through to issued report.

FAQ

Questions buyers ask before they commit to a new workflow.

FAQ 01

Is AI in fire safety reports a liability risk?

AI in FRA Flow accelerates drafting but never signs off. Every AI-generated paragraph is editable, auditable, and traceable to the photo, observation, or risk score that produced it. The competent person signs off the report, not the AI. The audit trail records who approved which version against which evidence, which strengthens defensibility under the Fire Safety Order 2005 rather than weakening it.

FAQ 02

Where does the AI run? Is our data sent to OpenAI?

AI inference runs through enterprise-tier model providers in UK or EU regions only. Customer data is not used to train third-party models, and observation, photo, and risk-score content stays inside the European Economic Area. Full security and data-handling details are on the security page.

FAQ 03

What if the AI gets a fire safety detail wrong?

The assessor reviews every AI-drafted paragraph against its source observation before queuing the report for review. The reviewer sees the AI draft separately from human-edited text, with the footnote link to the source observation one click away. Any wrong detail is editable inline, regenerable, or replaceable with hand-written prose. The audit trail records every change.

FAQ 04

Can we turn AI off entirely if we want to?

Yes. AI drafting is opt-in per assessment. A team that prefers to write narrative findings by hand can use FRA Flow purely as the structured-evidence and reviewer-workflow platform, with the AI features disabled.

FAQ 05

Where is our customer data stored?

All customer data, including database, file storage, and AI inference, runs in UK or EU regions only. Nothing leaves the European Economic Area. Full security and data-handling details are on the security page.

FAQ 06

What does pricing actually cost a small consultancy?

A 5-assessor Practice team is £249 base plus 5 × £49 = £494 per month on monthly billing, or roughly £394 per month on annual. That includes 40 pooled report credits per month, free reviewer and admin seats, and per-landlord branding. Overage is £12 per report. Full breakdown on the pricing page.

Try AI-assisted drafting on your next housing FRA.

Create your account in under a minute. Two reports a month, free forever, no card. Or book a 30-minute walkthrough if you would rather see the AI drafting workflow driven against a real building.