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.
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.
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.
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.
Automatically identifies when a completed HR action has not triggered its required downstream steps generating risk alerts before payroll errors or compliance failures occur.
A preventative consistency checkpoint that reconciles all HR events against upcoming payroll runs before submission catching omissions and mismatches at source.
A RAG-based natural-language interface where managers query past decisions every answer is anchored to verifiable company records, not general AI training data.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
| Taha's Operational Background | ↔ | AdminTwin AI Platform Feature |
|---|---|---|
| Managed end-to-end payroll for 350+ staff | → | Pre-Payroll Consistency Verification Engine |
| Authored legally compliant employment contracts | → | Event-Driven Workforce Memory Graph Architecture |
| Tracked compliance & data logs for multi-tier entities | → | SME-Specific HR Risk Taxonomy & Assessment Engine |
| Directed multi-site administration & document audits | → | Scalable Multi-Site Trust/Group Dashboard Module |
| Personal experience of HR memory loss on staff departure | → | Broken Obligation Chain Detection & Bus-Factor Score |
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.
| Feature / Capability | BrightHR / Breathe | Enterprise ERPs | Generic AI Tools | AdminTwin AI |
|---|---|---|---|---|
| Core Technical Model | Record-based SQL tables | Massive relational databases | Unstructured flat-file context | Event-Driven Workforce Memory Graph |
| Primary Value | Centralised record storage | Full corporate resource planning | Ad-hoc text drafting | Proactive risk management & decision tracking |
| Process Integrity Check | Simple deadline alerts | Custom workflow rules | None | Automated Broken Obligation Chain Detection |
| Payroll Reconciliation | Manual export only | Built-in corporate modules | None | Pre-payroll HR consistency engine |
| Historical Query | Manual DB filtering | Custom dashboard reports | Unverified document search | Evidence-linked auditable RAG responses |
| SME Cost & Setup | Low, self-service | £50K–£500K, enterprise teams | Low, manual config | Affordable SaaS with tailored setup support |
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.
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.
Primary target sectors by number of organisations
Core operational vulnerabilities across 150-response survey
Market size and SME AI adoption trajectory 2022–2030
Feature coverage across key differentiating capabilities
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.
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.
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.
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.
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.
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.
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.
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.
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.