UK's First AI-Powered HR Memory Platform for SMEs

Structured. Traceable.
Reliable. Always Accessible.

AdminTwin AI eliminates the HR memory gap in UK small and medium-sized enterprises. An intelligent, evidence-linked institutional memory platform that converts fragmented spreadsheets, emails, and manual records into a structured, audit-ready workforce intelligence layer before payroll errors and compliance failures occur.

AdminTwin AI · Workforce Intelligence

HR Memory Dashboard

LIVE
WM
Workforce Memory Events Logged 1,284 ↑ Linked
OC
Broken Obligation Chains Detected 3 Flagged ⚠
PR
Pre-Payroll Consistency Check ✓ Ready · 0 Errors
CO
Compliance Documents Tracked 98% Current
RT
Right-to-Work Alerts Active 2 Expiring Soon
A+
HR Memory Health Score
Bus-Factor Risk: LOW · Evidence-Linked · GDPR Compliant
The UK SME HR Crisis

UK SMEs Are Losing Thousands to
Fragmented HR & Payroll Blind Spots.

5.7 million UK small businesses manage HR through spreadsheets, email threads, and the personal memory of a single administrator. When that person leaves, the company loses its entire workforce history. AdminTwin AI converts this fragile human memory into a structured, auditable, and compliance-ready institutional asset protecting SMEs from payroll errors, employment disputes, and regulatory failures.

1-in-5
UK small employers make payroll errors each year, costing an average of £12,000 in corrections and penalties (HMRC)
99.9%
Of all UK private sector businesses are SMEs, employing 16.7 million people virtually all without structured HR memory
67%
Of UK SMEs plan to adopt AI HR tools within 3 years, yet no platform offers event-driven workforce memory with obligation chain detection
£0
Existing HR tools invest in pre-payroll validation the gap between HR approval and payroll submission where most errors occur
Core Intelligence Modules

Five Modules. One Complete HR Memory & Risk Intelligence Platform.

AdminTwin AI combines a Workforce Memory Graph, Broken Obligation Chain Detection, Pre-Payroll Verification, Evidence-Linked AI Search, and Compliance Document Intelligence into one structured SaaS platform purpose-built for UK regulated SMEs.

Workforce Memory Graph
Module 01

Workforce Memory Graph Engine

Stores every HR action as a connected decision-event chain not an isolated record. Each event links to its approver, supporting evidence, payroll consequence, and required follow-up.

Unlike legacy HR databases that store flat rows of employee data, AdminTwin AI models the entire organisation as an interconnected, chronological network. Every salary change, role promotion, leave approval, and warning is a linked event you can trace forward and backward in time giving founders complete institutional continuity when staff depart.
Workforce Memory Graph
Module 02

Broken Obligation Chain Detection

Automatically identifies when a completed HR action has not triggered its required downstream steps generating risk alerts before payroll errors or compliance failures occur.

If a manager approves a salary increase but no revised employment contract is uploaded, the system flags a broken obligation chain immediately. If an employee's role changes but no payroll update is logged, the platform alerts the administrator. This proactive detection eliminates the invisible gaps that cause tribunal claims and HMRC penalties.
Workforce Memory Graph
Module 03

HR-to-Payroll Consistency Verification

A preventative consistency checkpoint that reconciles all HR events against upcoming payroll runs before submission catching omissions and mismatches at source.

Most payroll errors happen not inside payroll software, but in the gap between an HR decision and data submission. AdminTwin AI operates in that gap cross-referencing every approved salary change, unpaid leave deduction, and role adjustment against the payroll run, flagging discrepancies before a single penny is processed incorrectly.
Workforce Memory Graph
Module 04

Evidence-Linked AI HR Memory Search

A RAG-based natural-language interface where managers query past decisions every answer is anchored to verifiable company records, not general AI training data.

Ask AdminTwin AI any question about your workforce history and receive answers with direct citations to the original approvals, contracts, and evidence files stored in your Workforce Memory Graph. No hallucinations, no generic responses only verified institutional knowledge from your own organisational records.
Workforce Memory Graph
Module 05

Compliance & Document Intelligence

Systematic tracking of Right-to-Work credentials, DBS checks, mandatory training certificates, and sponsor licence obligations all aligned with UK GDPR and Home Office requirements.

For UK regulated employers in care homes, nurseries, charities, and education, document compliance is existential. AdminTwin AI tracks every certificate expiry date, automates renewal reminders, and maintains an audit-ready document trail that satisfies CQC, Ofsted, and ICO inspection requirements without manual chasing or spreadsheet hunting.
Workforce Memory Graph
Why AdminTwin AI

The Only Platform Built for HR Memory Continuity

No competitor combines event-driven workforce memory, obligation chain detection, and pre-payroll validation in a single affordable SME platform. AdminTwin AI is architecturally different not a feature upgrade.

Legacy HR tools like BrightHR, Breathe, and CharlieHR are static databases. AdminTwin AI is an event-driven institutional intelligence layer. A novelty search across 429 patent results confirmed no prior art combines all core elements. Patent filing is scheduled within 18 months of incorporation.
Core Differentiators

Three Architectural Innovations That No Competitor Has Built.

Event-Driven Memory Graph

Standard HR software stores isolated records (current salary, job title). AdminTwin AI models every HR action as a distinct event with metadata actor, evidence, compliance obligation, financial impact creating a living institutional memory.

Broken Obligation Chain Detection

No other SME platform monitors cross-functional workflow integrity. AdminTwin AI detects when a completed HR action has failed to trigger its required downstream steps before the error becomes a payroll dispute or compliance penalty.

Evidence-Linked RAG Intelligence

Every AI-generated answer is anchored to auditable internal records not general training data. AdminTwin AI eliminates the hallucination risk of generic AI tools in high-stakes HR and payroll decision-support contexts.

Pre-Payroll Consistency Engine

The first HR platform that operates in the critical gap before payroll submission reconciling HR events against upcoming payroll runs, catching mismatches at source rather than discovering them in disputed payslips.

UK GDPR-Native Architecture

Built with data minimisation, role-based access, automated retention protocols, and single-click SAR export from Day 1 not added as an afterthought. Privacy by design at every data layer.

Regulated Sector Expertise

Designed specifically for care homes, charities, nurseries, and educational trusts facing CQC, Ofsted, ICO, and Home Office sponsor licence compliance not a generic tool trying to serve everyone.

The Founding Team

Built by an HR Operations Expert.
Designed for Real SME Problems.

AdminTwin AI was founded by Taha Farnaaz, who spent 7+ years managing HR and payroll operations for complex, multi-site institutional workforces. The product wasn't imagined in theory it was built to solve a problem the founder lived firsthand: the catastrophic risk of losing institutional HR memory when a key administrator leaves.

TF

Taha Farnaaz

Founder & CEO · Domain, Operations & Commercial

Taha brings 7+ years of direct HR operations experience, managing end-to-end payroll configuration and HR administration for a workforce of 350+ employees across multi-tier institutional networks at Mukarram Jah Trust for Education and Learning (2018–2020). She authored legally compliant employment contracts, processed complex shift variations across multiple sites, managed organisational grievances, and coordinated systematic performance reviews.

Her first-hand exposure to scattered spreadsheets, email threads, WhatsApp messages, and paper files exactly the fragility AdminTwin AI solves gives her deep insight into what SME founders actually need. Holder of an MSc in International Business from the University of Hertfordshire (2023) and BCom (Computers) from Osmania University.

7+ Years HR Operations 350+ Employee Payroll MSc International Business Multi-Site Compliance Employment Contract Authoring
AI

AdminTwin AI Platform

HR Memory & Workforce Risk Intelligence

AdminTwin AI is a next-generation SaaS platform designed to eliminate the HR memory gap that affects thousands of SMEs. The platform transforms fragmented workforce records, payroll instructions, compliance documents, and operational decisions into a connected, evidence-linked system that preserves organisational knowledge and reduces business risk.

Through its Workforce Memory Graph, Evidence-Linked AI Search, Compliance Intelligence Engine, and Pre-Payroll Verification capabilities, AdminTwin AI helps organisations maintain workforce continuity, improve compliance oversight, prevent costly payroll errors, and create a permanent digital record of critical workforce decisions.

Workforce Memory Graph Evidence-Linked AI Search Payroll Verification Compliance Intelligence Workforce Risk Analytics
Mission & Vision

Our Mission

To eliminate the HR memory gap in small organisations by giving every SME owner and manager a structured, evidence-linked, and risk-aware digital record of every workforce decision they have ever made.

Our Vision

To become the UK's leading AI-powered HR memory and workforce risk intelligence platform for regulated SMEs and the trusted operational layer between scattered HR administration and payroll-ready, compliance-confident decisions.

Founder–Market Alignment

Direct Operational Experience Maps to Every Core Feature.

Taha's Operational Background AdminTwin AI Platform Feature
Managed end-to-end payroll for 350+ staffPre-Payroll Consistency Verification Engine
Authored legally compliant employment contractsEvent-Driven Workforce Memory Graph Architecture
Tracked compliance & data logs for multi-tier entitiesSME-Specific HR Risk Taxonomy & Assessment Engine
Directed multi-site administration & document auditsScalable Multi-Site Trust/Group Dashboard Module
Personal experience of HR memory loss on staff departureBroken Obligation Chain Detection & Bus-Factor Score
AdminTwin AI Platform

The Only Event-Driven HR Memory
& Risk Intelligence Platform for UK SMEs.

AdminTwin AI converts unstructured, fragmented HR administration into a structured, auditable, and risk-aware institutional memory. Unlike legacy HR software built on static relational databases, AdminTwin AI uses an event-driven graph architecture the first of its kind confirmed novel by an independent IP novelty search.

Innovation Architecture

Why This Is Architecturally Different Not Just a New Feature.

Feature / Capability BrightHR / Breathe Enterprise ERPs Generic AI Tools AdminTwin AI
Core Technical ModelRecord-based SQL tablesMassive relational databasesUnstructured flat-file contextEvent-Driven Workforce Memory Graph
Primary ValueCentralised record storageFull corporate resource planningAd-hoc text draftingProactive risk management & decision tracking
Process Integrity CheckSimple deadline alertsCustom workflow rulesNoneAutomated Broken Obligation Chain Detection
Payroll ReconciliationManual export onlyBuilt-in corporate modulesNonePre-payroll HR consistency engine
Historical QueryManual DB filteringCustom dashboard reportsUnverified document searchEvidence-linked auditable RAG responses
SME Cost & SetupLow, self-service£50K–£500K, enterprise teamsLow, manual configAffordable SaaS with tailored setup support
Intellectual Property

Novel Architecture. Confirmed by Independent IP Search.

Novelty Search Results

A comprehensive novelty search across Patseer databases (429 hits, 10 search strings) confirmed no prior art discloses or combines: an event-driven Workforce Memory Graph; HR Decision-Event Structuring; Broken Obligation Chain Detection; HR-to-Payroll Consistency Verification; and SME Bus-Factor Risk Scoring. Five US patent families reviewed none matched.

Novel Confirmed 429 Patseer Hits Reviewed 5 US Patent Families Analysed Patent Filing: 18 Months

Defensibility Roadmap

  • UK Patent Filing Within 18 months: Workforce Memory Graph + Broken Obligation Chain Detection + HR-to-Payroll Consistency Engine
  • Architectural Moat Legacy platforms (BrightHR, Sage HR) would need a full core database rebuild to replicate event-driven graph architecture
  • OCR Data Ingestion Lock-in Once an SME's HR history is structured inside AdminTwin AI, migration creates irreversible institutional data loss
  • Proprietary Risk Datasets Accumulated anonymised HR risk patterns create a network-effect moat that grows with each client
Market Assessment

A £2.1 Billion UK HR Technology Market
Growing at 11% CAGR.

AdminTwin AI targets a Serviceable Addressable Market of ~50,000 regulated UK SMEs in the care, nursery, charity, and hospitality sectors for its first three years, targeting 500–1,000 active subscribers by end of Year 3. Total Addressable Market: 1.24 million UK SMEs with documented HR memory and risk problems.

UK Regulated SME Segments AdminTwin AI Beachhead TAM

Primary target sectors by number of organisations

SME HR Pain Point Distribution

Core operational vulnerabilities across 150-response survey

UK HR Technology Market Growth

Market size and SME AI adoption trajectory 2022–2030

AdminTwin AI vs. Competitor Capability Comparison

Feature coverage across key differentiating capabilities

SWOT Analysis

Strengths. Weaknesses. Opportunities. Threats.

✓ Strengths

  • 7+ years HR operational experience with 350+ employee payroll
  • Novel architecture confirmed by independent IP novelty search
  • No prior art across all 7 core elements (429 Patseer hits reviewed)
  • Clear beachhead: care homes, charities, educational trusts
  • High switching costs via OCR data ingestion and structured history
  • £50,000 seed capital fully accessible, no external liabilities

⚠ Weaknesses

  • Pre-revenue at funding stage; MVP in development
  • LOIs currently from individuals, not corporate entities
  • Patent not yet filed (scheduled within 18 months)
  • MVP delivery dependent on external dev agency in Year 1
  • Care and charity sales cycles may extend beyond forecast

↗ Opportunities

  • 99.9% of UK businesses are SMEs vast, underserved market
  • Growing CQC, Ofsted, ICO, Home Office compliance pressure
  • Payroll bureau & accountancy firm referral channels: near-zero CAC
  • International expansion: UAE, India, Australia from Year 4
  • AI adoption in SME HR accelerating early mover advantage

▼ Threats

  • Incumbent SME HR platforms adding basic AI features
  • Well-funded HR-tech startups entering SME AI space
  • UK GDPR regulatory changes affecting data processing architecture
  • Market downturn reducing discretionary SaaS spend
  • Loss of technical co-founder (mitigated by IP ownership and vesting)
How AdminTwin AI Works

From Scattered HR Records to
Structured Institutional Memory in 4 Steps.

Step 01 · Data Ingestion & Migration

Upload Your Existing HR Records Any Format.

AdminTwin AI's automated OCR ingestion pipeline parses unstructured historical spreadsheets, PDF employment contracts, email records, and even handwritten holiday logs organising them into the standardised format required by the Workforce Memory Graph.

The one-off structured onboarding fee (£500–£2,500) covers secure data migration, historical verification, custom schema mapping, and initial manager training. Clients achieve a fully operational platform within 14 days.

OCR Auto-Parse PDF · XLS · Email 14-Day Onboarding
Workforce Memory Graph
Step 02 · Memory Graph Construction

Every HR Action Becomes a Linked Decision-Event Chain.

AdminTwin AI transforms isolated records into a living graph database. Every salary revision, role change, leave approval, and warning is mapped as a distinct event linked to its approver, supporting evidence, effective date, and required follow-up actions.

Unlike flat database rows that only show current state, the Workforce Memory Graph stores the entire history of why every decision was made and who authorised it making institutional knowledge permanently accessible even after staff departure.

Neo4j Graph DB Event-Driven Model Full Audit Trail
Workforce Memory Graph
Step 03 · Risk Detection & Pre-Payroll Validation

Automated Alerts Before Errors Reach Payroll.

The Broken Obligation Chain Detection engine continuously monitors your Workforce Memory Graph for incomplete process flows. If an HR action was completed but its required downstream steps are missing, AdminTwin AI flags the chain break immediately.

Before each payroll run, the Pre-Payroll Consistency Engine cross-references all HR events against the upcoming payroll submission catching mismatches, missing adjustments, and unrecorded changes before a single payment is processed incorrectly.

Real-Time Monitoring Pre-Payroll Check Zero-Error Target
Workforce Memory Graph
Step 04 · Evidence-Linked AI Query & Compliance

Ask Anything About Your Workforce History. Get Verified Answers.

The natural-language HR Memory Search allows any authorised manager to ask questions about past decisions and receive answers anchored directly to internal records, not generated from generic AI training data.

Meanwhile, Compliance & Document Intelligence tracks every Right-to-Work credential, DBS check, and training certificate sending automated renewal reminders and maintaining an audit-ready evidence trail for CQC, Ofsted, and ICO inspections.

RAG AI Interface Auditable Citations CQC/Ofsted Ready
Workforce Memory Graph
Frequently Asked Questions

Everything You Need to Know
About AdminTwin AI.

What makes AdminTwin AI different from BrightHR, Breathe, or CharlieHR?

+
Those platforms are static relational databases that store isolated records current salary, current role, document links. AdminTwin AI is architecturally different: it models HR administration as an event-driven graph of connected decision-chains. Every action is linked to its approver, evidence, payroll consequence, and required follow-up. No competitor monitors cross-functional workflow integrity or operates a pre-payroll validation layer. This is confirmed as novel by an independent IP search across 429 patent results.

What is the "Broken Obligation Chain" and why does it matter?

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A Broken Obligation Chain occurs when an HR action is completed, but its required downstream steps are not. For example: a manager approves a salary increase (action complete) but no revised employment contract is uploaded (downstream step missing). Or a new hire is added to the system but no Right-to-Work check is logged. AdminTwin AI detects these breaks automatically and alerts administrators before they cause payroll errors, tribunal claims, or CQC/Ofsted compliance failures.

How is the AI query different from a generic chatbot or ChatGPT?

+
AdminTwin AI's AI HR Memory Search uses Retrieval-Augmented Generation (RAG) meaning it only generates answers from your own verified internal records, not from general training data. Every answer includes a direct citation to the original approval, contract, or evidence file in your Workforce Memory Graph. If information doesn't exist in your system, the platform returns "Information Not Found" rather than guessing. This eliminates the hallucination risk that makes generic AI tools dangerous in HR and payroll contexts.

Is AdminTwin AI compliant with UK GDPR?

+
Yes. UK GDPR compliance is embedded at the architectural level, not added as an afterthought. The platform implements strict data minimisation, granular role-based access controls (RBAC), automated data retention and deletion protocols (including 6-month purge for unsuccessful applicants and 6-year archive post-termination), and a single-click Subject Access Request (SAR) export module. All data is encrypted at rest (AES-256) and in transit (TLS 1.3).

Which sectors is AdminTwin AI designed for?

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Phase 1 targets UK regulated SMEs with the highest HR memory and compliance burden: independent care homes (CQC regulated), registered charities (Charity Commission governance), nurseries and early years settings (Ofsted regulated), and educational trusts (DfE and Ofsted). Phase 2 expands to beauty/wellness chains, hospitality, food retail, and migrant-owned businesses managing Home Office sponsor licences.

How does onboarding work? We have years of spreadsheets and paper records.

+
The one-off onboarding fee (£500–£2,500) covers the full structured migration process. AdminTwin AI's automated OCR ingestion pipeline parses unstructured spreadsheets, PDF contracts, and paper records automatically organising them into the standardised Workforce Memory Graph schema. A self-service verification dashboard guides you through resolving any ambiguous historical records. Clients are typically fully operational within 14 days.

What is the pricing and which plan is right for my organisation?

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Plans start at £49/month (Starter, up to ~25 employees), £149/month (Growth, expanding SMEs), £299/month (Pro, regulated SMEs up to 200 employees), and £499/month (Trust/Group, multi-site organisations). There is also a one-time onboarding fee. Care homes and small charities typically start on the Starter or Growth plan; multi-site care groups and educational trusts often use the Trust/Group tier.

When will the platform be available?

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AdminTwin AI is targeting MVP launch within 12 months of incorporation and visa approval. Paid pilot customers from care homes, nurseries, and charities are targeted for Months 4–6 post-incorporation. Three Letters of Intent have been secured from care home operators and a registered charity. If you would like to be considered for the pilot programme, please contact us via the Request Demo page.
Transparent Pricing

Simple, Affordable SaaS Plans.
Designed for UK Regulated SMEs.

No per-user charges. No enterprise sales cycles. No £50,000 implementation fees. AdminTwin AI is priced to match the operational scale of the organisations that need it most from micro-charities to multi-site care groups.

Starter
Micro-Organisations
£49/month
For micro-businesses and early pilot organisations up to 25 employees. Replace scattered notebooks and spreadsheets with a single, secure digital institutional memory.
  • AI HR Memory Layer (core)
  • Basic Workforce Memory Graph
  • Document Intelligence (RTW, DBS)
  • Up to 25 employees
  • Standard compliance alerts
  • Email support
Pro
Regulated SMEs
£299/month
For heavily regulated SMEs care homes, charities, educational trusts up to 200 employees. Full platform with advanced pre-payroll validation.
  • All Growth features
  • Advanced Pre-Payroll Verification
  • CQC/Ofsted compliance tracking
  • Home Office sponsor licence module
  • Up to 200 employees
  • Evidence-Linked RAG AI Search
  • Dedicated account manager
Trust / Group
Multi-Site Groups
£499/month
For multi-facility care groups, federated charities, and educational trusts requiring centralised cross-entity data aggregation and group-level reporting.
  • All Pro features
  • Multi-site administration
  • Group-level analytics dashboard
  • Centralised audit reporting
  • Unlimited sites & employees
  • Custom compliance templates
  • API integrations (Sage, Xero)
One-Time Onboarding & Implementation Fee: £500 – £2,500

All new clients pay a structured onboarding fee covering: secure data migration from spreadsheets/emails/PDFs, historical data verification, custom Workforce Memory Graph schema mapping, and initial manager training. This ensures high platform utility within 14 days and dramatically reduces early churn.

Financial Projections

Revenue Forecast Base Scenario.

Year 1
£63K
Revenue
75 active subscribers by Month 12
MVP launch Month 4
Year 2
£310K
Revenue
Break-even Month 20–22
Net profit £35K
Year 3
£627K
Revenue
500–1,000 subscribers
Net profit £94K · ROE 56%
Get in Touch

Request a Pilot Demo or
Join Our Early Access Programme.

AdminTwin AI is accepting pilot organisations from the care, charity, and education sectors. Join the early access programme and help shape the UK's first event-driven HR memory platform designed specifically for regulated SMEs.

Talk to the AdminTwin AI Team

AdminTwin AI is pre-launch and currently onboarding design partners and pilot organisations. All conversations are confidential and protected by MNDA and DPA agreements before any data is shared.

Location London, United Kingdom
Data Protection UK GDPR Compliant · MNDA + DPA Executed Before Any Data Shared
Free Entry Offer

HR Memory Risk Scan

Upload your anonymised HR documentation into a secure sandbox and AdminTwin AI will generate a free HR Health Report mapping your documentation gaps, broken process chains, and pre-payroll risk exposure. No commitment required.