Responsible AI — built for CQC & Ofsted providers

AI you can put in front of an inspector

We don't hide our AI behind marketing words. Every AI system in MyCareAudit is listed below in one honest register — what it does, what data it touches, and the human controls around it. Outputs are labelled, a person always decides, and your data is never used to train models.

UK Registered Company (No. 12536256)UK GDPR Aligned — UK Data CentresSSL Encrypted — Enterprise SecurityBuilt for CQC, Ofsted & NRSA providersFounded by Care Sector Expert

Our AI governance principles

The rules every AI feature in the platform follows — no exceptions.

AI assists, humans decide

No AI feature in MyCareAudit makes an autonomous decision about a person’s care. AI proposes, summarises or drafts — a named person always reviews and decides. There is no automated decision-making with legal or similarly significant effect (UK GDPR Article 22).

Every AI output is labelled

Anything produced by a generative model — draft reports, summaries, suggested actions — is clearly marked as AI-generated in the interface, so staff never mistake a draft for a verified record.

Pseudonymisation by default

Where a feature sends care records to a model, direct identifiers are minimised or pseudonymised first. We process the minimum data needed for the task (data minimisation, UK GDPR Article 5).

Your data is never used to train models

Your organisation’s data is used only to serve your own requests. It is not used to train, fine-tune or improve any shared or third-party model.

UK data residency & security

Data is held in the UK under our existing security controls (encryption in transit and at rest, role-based access, full audit logging). AI features inherit the same controls as the rest of the platform.

You stay in control

AI-assistive features can be reviewed per organisation, and every AI interaction on your account is recorded in your in-app AI Usage Register so you can evidence oversight to inspectors.

Our AI never silently edits medicine records, invents evidence of care, changes employment status, decides safeguarding outcomes, states unconfirmed causes as facts or skips a human approval. See the full list

Safeguards on every AI draft

How we keep a person in charge of every record the AI helps to write.

A full audit trail

Each AI draft records which model wrote it, which version of our instructions it followed, who approved or rejected it and which fields a person changed before saving. Managers can view and download this trail.

Topics the AI never fills in

DNACPR and resuscitation wishes, allergies, medicines and doses, safeguarding concerns and choking or swallowing risks are always left for a person to complete, even when they are mentioned in a recording.

Time-stamped sources

When a draft comes from a voice recording, each field shows the moment in the recording it came from and the words heard, so the reviewer can check it quickly.

Drafts until approved

Nothing the AI writes becomes part of a care record until a named person approves it. Gaps are marked for the reviewer to add rather than guessed.

AI Usage Register v1.0

Every AI system we run

A living inventory of the AI (and the deterministic, rules-based intelligence) inside MyCareAudit. Your customers and inspectors can see exactly what is automated and how it is controlled.

Last reviewed 2026-10-01

AI notes summary & before-your-visit prompts

Care ManagementGenerative AISensitivity: Limited

Summarises one person's recent daily care notes and open signals, and suggests 3-5 things for the next care worker to check on their visit. Every point links to the notes or signals it came from; points without a valid source are removed automatically. It does not give clinical instructions and nothing is written to the care record. AI-assisted summary for review, not a decision.

ModelLarge language model (general-purpose)
Data processedDaily care notes (narrative and structured entries) from the last 7, 14 or 28 days and open signals for the selected person.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input No (identifiable records used, access-controlled)
Autonomous decisions None
Oversight ownerRegistered Manager

AI Voice Assessment (holistic assessments, care plans & risk assessments)

Care ManagementGenerative AISensitivity: Limited

Transcribes a consented recording of an assessment conversation and drafts holistic needs assessment sections, care plan or risk assessment content from what was said. Sections that were not discussed are left blank. In review mode it compares the conversation with the current care plan section or risk assessment and only suggests changes, each with a reason and quote, which the reviewer accepts or rejects one by one. Clinical guardrail: on high-risk topics (medicines, insulin, swallowing, pressure areas, seizures, oxygen, tubes, allergies, DNACPR) it only quotes what was said, with a time marker, and the reviewer is warned to check against the prescriber / SALT / nurse instructions. The draft is for review, not a decision — a manager or senior carer edits and signs it off.

ModelSpeech-to-text model + large language model (general-purpose)
Data processedAudio of the assessment conversation (recorded only with documented consent, LPA/deputy authority or a best-interests decision), the transcript and the selected assessment type, care domain or risk template. Audio is deleted once the draft is approved or discarded.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input No (identifiable records used, access-controlled)
Autonomous decisions None
Oversight ownerRegistered Manager

Add via voice (form filling across care records)

Care ManagementGenerative AISensitivity: Limited

Transcribes consented speech and fills the fields of the care-record form that is open (daily notes, health and clinical records, goals, planning records). Fields not mentioned are left blank. Nothing is saved automatically: staff check every field and press Save themselves.

ModelSpeech-to-text model + large language model (general-purpose)
Data processedSpoken audio (with recording consent on file), the transcript and the labels of the open form. Audio is processed in memory and never stored; the transcript is kept in the audit log.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input No (identifiable records used, access-controlled)
Autonomous decisions None
Oversight ownerRegistered Manager

AI Audit Report Drafting

Audits & ComplianceGenerative AISensitivity: Limited

Drafts a narrative audit report and improvement suggestions from the evidence and scores a user has already entered.

ModelLarge language model (general-purpose)
Data processedAudit answers, scores and free-text notes entered by the provider.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input Yes
Autonomous decisions None
Oversight ownerRegistered Manager / Nominated Individual

Care Assistant (chat)

Care ManagementGenerative AISensitivity: Limited

Answers compliance and “how-do-I” questions and helps staff find the right guidance inside the platform.

ModelLarge language model (general-purpose)
Data processedThe question typed by the user and relevant guidance content.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input Yes
Autonomous decisions None
Oversight ownerRegistered Manager

Care Record Insights

Care ManagementAssistive AISensitivity: Higher sensitivity

Highlights themes and possible gaps across daily notes and care records to support review — never to replace clinical judgement.

ModelLarge language model (general-purpose)
Data processedDaily notes and care-record text, minimised before processing.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input Yes
Autonomous decisions None
Oversight ownerRegistered Manager / Clinical Lead

Care Intelligence Signals

Care ManagementDeterministic (rules-based)Sensitivity: Limited

Flags deviations from each person’s personal baseline (e.g. weight, mood, activity) for a human to review.

ModelRules-based statistics (no model)
Data processedStructured measurements already recorded in the platform.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input No (identifiable records used, access-controlled)
Autonomous decisions None
Oversight ownerRegistered Manager

Clinical Scoring Tools

Care ManagementDeterministic (rules-based)Sensitivity: Limited

Calculates recognised clinical scores (e.g. risk tools) from entered observations using published formulas.

ModelPublished clinical formulas (no model)
Data processedObservation values entered by staff.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input No (identifiable records used, access-controlled)
Autonomous decisions None
Oversight ownerClinical Lead

Resident 360° Summary

Care ManagementDeterministic (rules-based)Sensitivity: Limited

Assembles a one-page “understand this person before care begins” snapshot from existing baseline, signals and care-plan status.

ModelRules-based aggregation (no model)
Data processedData already held about the person in the platform.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input No (identifiable records used, access-controlled)
Autonomous decisions None
Oversight ownerRegistered Manager

Regulatory Intelligence

Quality & GovernanceAssistive AISensitivity: Minimal

Monitors published regulator sources and summarises what changed, for a human to interpret for their service.

ModelLarge language model (general-purpose)
Data processedPublicly available regulator publications only. No care data.
Output labelled AI-generated Yes
Human review before use Yes
Pseudonymised input Yes
Autonomous decisions None
Oversight ownerCompliance Lead

Customers on the platform get a live version of this register scoped to their own account — including a record of AI activity on their organisation — so they can evidence AI oversight in their own CQC or Ofsted submissions.

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