NHS-Compliant Prescription Infrastructure
An optometry group operating under NHS contract faced critical inefficiencies in its prescription process — paper-based workflows, inconsistent clinical practices, and regulatory exposure. The system lacked audit trails, dosage controls, and integration with existing PMS tools.
We were brought in to redesign the prescription lifecycle from the ground up. The outcome was OptiScribe — a regulatory-grade SaaS platform built to streamline prescribing, reduce risk, and meet NHS documentation standards.
Audited the full prescription workflow across multiple clinics and clinicians.
Identified regulatory gaps, clinical friction points, and data handling failures.
Co-developed a compliant, streamlined operating model ready for digital execution.
Delivered a bespoke SaaS platform built around NHS FP10 requirements.
Integrated with OPTIX via secure API for real-time patient data access.
Engineered structured drug database, dosage safety logic, and print-and-sign workflows.
Created the OptiScribe brand identity, naming system, and visual direction.
Designed the clinical UI/UX interface to meet NHS accessibility and usability standards.
Produced the product website, explainer assets, and onboarding experience.
Multi-Site Clinical Operations and Brand Transformation
CES Medical — a provider operating three NHS-contracted ophthalmology clinics — faced operational fragmentation, brand inconsistency, and limited visibility across its locations. Systems were decentralised, internal governance was undocumented, and the business lacked a scalable foundation for growth or exit.
We partnered with the executive team to stabilise operations, create internal infrastructure, and reposition the company under a unified identity. The result was a full-stack transformation — from workflows and data systems to brand and board governance.
Conducted an end-to-end operational audit across all three clinical sites.
Developed standardised internal governance models, SOPs, and audit documentation.
Advised management on the operational setup required to scale to 20 clinics nationally.
Designed an exit-aligned growth roadmap to support long-term PE acquisition.
Structured and deployed a centralised SharePoint-based knowledge system.
Built custom document workflows and compliance file repositories.
Designed dashboards for task management, reporting, and clinic-wide oversight.
Advised and led the rebranding of the organisation into CES Medical, consolidating all sites.
Developed a modern visual identity, tone of voice, and digital design language.
Built the flagship website, including clinic pages, referral flows, and service structure.
Customer Claim Management Infrastructure
Athena is a behavioural intelligence module designed to manage customer claims with speed, accuracy, and fraud resilience. Built within the Alyssa platform, it integrates seamlessly into retail workflows to detect anomalies, validate legitimacy, and optimise operational response — protecting both margin and customer trust.
Partnered with operations and CX leadership to map the full customer claim lifecycle.
Identified failure points in existing claim resolution logic, manual triage inefficiencies, and fraud vulnerability.
Designed a rule-based intervention framework to prioritise legitimate claims while flagging outliers in real-time.
Delivered Athena as a fully embedded module for E-Sentinel.
Combined behavioural analytics, delivery data, and fraud patterns to generate confidence-scored claim recommendations.
Integrated with CRM, logistics, and returns systems to ensure automation without process disruption.
Designed the Athena UI as an intuitive claims dashboard, allowing teams to filter, review, and act with minimal input.
Built a visual scoring model and recommendation interface optimised for speed and decision clarity.
Created stakeholder messaging and visual frameworks for deployment across internal support and risk teams.
Ecosystem Intelligence for Global E-Commerce
Medusa is Alyssa’s network intelligence layer — designed to aggregate and analyse data across the e-commerce ecosystem. It provides retailers with actionable insights by leveraging shared intelligence on customer behaviours, market trends, and fraud signals. Medusa empowers smarter decisions, competitive positioning, and reduced operational risk — by turning fragmented signals into strategic clarity.
Collaborated with clients and partners to identify value gaps in siloed retail intelligence.
Mapped data flows across ecosystems to define the architecture of shared visibility without compromising privacy.
Developed strategic use cases to demonstrate the ROI of ecosystem-level intelligence in fraud detection, CX, and pricing.
Engineered Medusa as an embedded module within the Alyssa platform.
Aggregates cross-merchant behavioural, logistics, and claim data to detect patterns and shared anomalies.
Delivers real-time insights through trend visualisation, fraud pattern mapping, and peer-informed scoring logic.
Designed the Medusa interface to convey network-level insights clearly and intuitively.
Built a visual language for ecosystem intelligence that blends analytics with accessibility.
Produced product narrative assets, demo visuals, and executive-facing collateral to position Medusa as a strategic intelligence layer — not just a reporting tool.
Customer Information Lookup & Digital Identity Verification
Hannibal is Alyssa’s intelligence module for verifying customer legitimacy through data enrichment and behavioural profiling.It performs real-time digital lookups using signals such as email presence, IP behaviour, social activity, and device metadata — enabling fraud teams to distinguish between high-risk and verified users without added friction.
Worked with fraud, compliance, and onboarding teams to understand gaps in existing KYC and customer validation processes.
Defined risk typologies based on signal reliability, identity spoofing patterns, and synthetic fraud indicators.
Delivered an operational framework for layered customer verification without increasing cost or customer friction.
Built Hannibal as an embedded, modular API service within Alyssa’s infrastructure.
Performs cross-source lookups on email, device fingerprinting, IP geolocation, and social presence to generate identity confidence scores.
Enables real-time flagging and internal alerts for onboarding, transaction review, and account lifecycle events.
Designed a UI panel that allows ops and compliance teams to review digital identity profiles in seconds — not minutes.
Built a signal confidence interface with expandable attribution, metadata, and score rationale for auditability.
Produced internal training visuals and external explanation layers to simplify how digital lookup logic integrates into decisioning workflows.
Delivery Intelligence and Logistics Insight
Hamilcar is Alyssa’s delivery tracking and logistics analysis module, built to give retailers real-time visibility across their shipping operations. It monitors delivery performance, identifies inconsistencies, and supports faster resolution of customer claims — all while enhancing operational efficiency and trust.
Worked with retail logistics teams to map existing delivery workflows and identify blind spots in the post-checkout experience.
Defined failure points tied to missed scans, inconsistent carrier data, and weak tracking integrations.
Established process logic for flagging anomalies and feeding logistics signals into claims and fraud workflows.
Integrated Hamilcar as a real-time delivery intelligence layer within Alyssa.
Ingests logistics data across carriers to track parcels, validate delivery confirmation, and detect inconsistencies.
Supports downstream tools like Athena by providing signal context for delivery-related customer claims.
Designed the Hamilcar UI to present shipment-level diagnostics with clarity and speed.
Built visual tools for ops teams to monitor delivery status, flag risks, and resolve claims without external systems.
Produced explanatory content and training assets to embed Hamilcar usage into CX and logistics teams.
Product Performance Intelligence and Visual Analytics
Atlas is Alyssa’s analytics engine — designed to transform raw product data into strategic insights. It empowers retailers to track performance, identify trends, and optimise product strategies through real-time reporting, KPI dashboards, and category-level intelligence.
Partnered with retail and product teams to define key metrics tied to profitability, sell-through, and margin velocity.
Mapped the internal data environment to identify gaps in insight delivery, latency, and reporting overhead.
Built a prioritised product intelligence framework for driving commercial decisions and forecasting accuracy.
Developed Atlas as a modular reporting engine within Alyssa, capable of ingesting and visualising product-level data at scale.
Engineered dynamic dashboards and drill-down views for performance tracking, trend detection, and margin analysis.
Integrated with retail databases to automate reporting pipelines and reduce manual analyst load.
Designed the Atlas UI for clarity, speed, and decision-readiness — optimised for leadership teams, analysts, and buyers.
Built visual narratives that convert analytics into business signals — accessible in real-time and boardroom-ready.
Produced reporting templates, presentation packs, and training assets to drive internal adoption across merchandising and strategy.
CO₂ Emission Insights and Responsible Return Intelligence
Gaia is Alyssa’s sustainability module — built to help retailers analyse return patterns, measure CO₂ impact, and optimise logistics for environmental responsibility. It enables brands to reduce emissions, design greener operations, and build customer trust through transparent sustainability practices.
Worked with supply chain and sustainability teams to identify the carbon impact of reverse logistics and return flows.
Developed models for CO₂ estimation based on transportation modes, return frequency, and product categories.
Provided sustainability roadmaps that align return policies with environmental goals and brand positioning.
Engineered Gaia to analyse return patterns and calculate associated CO₂ emissions using real-time logistics data.
Provides actionable recommendations to optimise packaging, reduce transit emissions, and reroute returns efficiently.
Feeds sustainability metrics into broader operational dashboards for visibility and ESG reporting.
Designed Gaia’s UI to clearly communicate environmental data and impact scenarios to both internal teams and external stakeholders.
Created visual assets for brands to showcase sustainability metrics transparently to customers.
Developed comms toolkits to position Gaia-integrated brands as forward-thinking and environmentally accountable.
Modular Intelligence Platform for Retail Risk, Ops & Strategy
Alyssa is E-Sentinel’s core SaaS platform — a modular infrastructure layer designed to help retailers combat fraud, optimise operations, and make better strategic decisions across the full customer journey.
Each embedded module within Alyssa (Athena, Medusa, Hannibal, Hamilcar, Atlas, and Gaia) addresses a critical friction point, creating a unified control system for retail execution and resilience.
Engaged with retail stakeholders to deconstruct the full commerce lifecycle — from account creation to post-purchase returns.
Identified systemic inefficiencies, fragmented tooling, and reactive fraud processes.
Defined a modular delivery model that enables retailers to scale capability in phases, without disrupting operations.
Built Alyssa as a modular SaaS infrastructure, engineered for high-volume, multichannel retail environments.
Each module is deployable independently or as part of a unified platform — fully API-enabled, compliant, and scalable.
The system leverages behavioural data, operational signals, and ecosystem intelligence to automate decisioning and surface risk.
Developed a platform brand identity centred on intelligence, modularity, and precision.
Designed the Alyssa UI as a control layer: functional, accessible, and adaptable across teams — from fraud to CX to strategy.
Created launch materials, module-specific narratives, and visual frameworks to support internal adoption and external positioning.
Agentic AI Assistant for Internal Ops and Decision Support
Mr M is Alyssa’s internal agent — a large language model–orchestrated system that interprets data, initiates tasks, and autonomously supports operational teams. Designed with multi-agent logic, Mr M reduces the need for human intervention in complex workflows by generating insights, recommending actions, and coordinating internal processes in real time.
Worked with operational leads to identify high-frequency, low-leverage tasks consuming team bandwidth.
Mapped internal logic chains and decision trees to define the orchestration architecture needed for autonomous execution.
Defined a governance model for oversight, escalation, and risk control within AI-driven internal operations.
Built using a multi-agent architecture leveraging LLMs, vector memory, and tool-based execution.
Integrated Mr M across data layers, dashboards, and decision points — enabling real-time lookup, task resolution, and insight generation.
Supports plug-in orchestration with external APIs and internal systems for true cross-function automation.
Crafted a lean interface for Mr M that allows users to interact conversationally, trigger actions, and visualise system decisions.
Developed prompt design layers and context feeds to maximise precision and minimise hallucination.
Created internal communication assets to train teams on safe usage, oversight boundaries, and escalation triggers.
Real-time fraud detection for retail and marketplaces
Alyssa is a comprehensive suite of AI-driven tools designed to prevent fraud, optimize operations, and enhance decision-making for e-commerce businesses. Each product within Alyssa tackles a specific challenge, from fraud detection to operational efficiency.
Engaged with retail stakeholders to deconstruct the full commerce lifecycle — from account creation to post-purchase returns.
Identified systemic inefficiencies, fragmented tooling, and reactive fraud processes.
Defined a modular delivery model that enables retailers to scale capability in phases, without disrupting operations.
Built Alyssa as a modular SaaS infrastructure, engineered for high-volume, multichannel retail environments.
Each module is deployable independently or as part of a unified platform — fully API-enabled, compliant, and scalable.
The system leverages behavioural data, operational signals, and ecosystem intelligence to automate decisioning and surface risk.
Developed a platform brand identity centred on intelligence, modularity, and precision.
Designed the Alyssa UI as a control layer: functional, accessible, and adaptable across teams — from fraud to CX to strategy.
Created launch materials, module-specific narratives, and visual frameworks to support internal adoption and external positioning.
Privacy Notice for Alastra Labs Ltd
Last updated: 31 August 2025
1. Introduction
This Privacy Notice explains how Alastra Labs Ltd ("we", "us", or "our") collects, uses, and protects your personal information when you visit our website (alastralabs.com), use our services, or interact with us. We are committed to protecting your privacy and complying with the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018.
This notice provides you with the necessary information regarding your rights and our obligations, and explains how, why and when we process your personal data.
Alastra Labs Ltd is a company registered in England and Wales under company number 16079562. Our registered office is at 30 Churchill Place, Canary Wharf, London E14 5RE. We are registered with the Information Commissioner's Office (ICO) under registration number 00011173288.
For any questions about this Privacy Notice or our data protection practices, please contact us at:
- Email: partners@alastralabs.com
- Address: 30 Churchill Place, Canary Wharf, London E14 5RE
2. Information We Collect
We may collect and process the following types of personal information about you:
- Identity Data: including first name, last name, username or similar identifier.
- Contact Data: including billing address, delivery address, email address and telephone numbers.
- Technical Data: including internet protocol (IP) address, your login data, browser type and version, time zone setting and location, browser plug-in types and versions, operating system and platform and other technology on the devices you use to access this website.
- Usage Data: including information about how you use our website, products and services.
- Marketing and Communications Data: including your preferences in receiving marketing from us and our third parties and your communication preferences.
We may collect and process the following types of personal information about you:
- Direct interactions: You may give us your Identity, Contact and Financial Data by filling in forms or by corresponding with us by post, phone, email or otherwise. This includes personal data you provide when you:
- apply for our products or services;
- create an account on our website;
- subscribe to our service or publications;
- request marketing to be sent to you;
- enter a competition, promotion or survey;
- or give us some feedback
- Automated technologies or interactions: As you interact with our website, we may automatically collect Technical Data about your equipment, browsing actions and patterns. We collect this personal data by using cookies, server logs and other similar technologies. Please see our Cookie Policy for further details.
- Third parties or publicly available sources: We may receive personal data about you from various third parties and public sources as set out below:
- Technical Data from analytics providers such as Google;
- Contact, Financial and Transaction Data from providers of technical, payment and delivery services;
- Identity and Contact Data from data brokers or aggregators;
- Identity and Contact Data from publicly availably sources such as Companies House and the Electoral Register based inside the UK.
3. How We Use Your Personal Data (Lawful Basis for Processing)
We will only use your personal data when the law allows us to. Most commonly, we will use your personal data in the following circumstances:
- Where we need to perform the contract we are about to enter into or have entered into with you.
- Where it is necessary for our legitimate interests (or those of a third party) and your interests and fundamental rights do not override those interests.
- Where we need to comply with a legal or regulatory obligation.
Generally, we do not rely on consent as a legal basis for processing your personal data other than in relation to sending third party direct marketing communications to you via email or text message. You have the right to withdraw consent to marketing at any time by contacting us
Purposes for which we will use your personal data
We have set out below, in a table format, a description of all the ways we plan to use your personal data, and which of the legal bases we rely on to do so. We have also identified what our legitimate interests are where appropriate.
4. Data Sharing and Transfers
We may have to share your personal data with the parties set out below for the purposesset out in the table in paragraph 3 above.
- Internal Third Parties: Other companies in the Alastra Labs Group acting as joint controllers or processors and who are based in the UK and provide IT and system administration services and undertake leadership reporting.
- External Third Parties:
- Service providers acting as processors who provide IT and system administration services.
- Professional advisers acting as processors or joint controllers including lawyers, bankers, auditors and insurers who provide consultancy, banking, legal, insurance and accounting services.
- HM Revenue & Customs, regulators and other authorities acting as processors or joint controllers who require reporting of processing activities in certain circumstances
- Third parties to whom we may choose to sell, transfer, or merge parts of our business or our assets. Alternatively, we may seek to acquire other businesses or merge with them. If a change happens to our business, then the new owners may use your personal data in the same way as set out in this privacy notice.
We require all third parties to respect the security of your personal data and to treat it in accordance with the law. We do not allow our third-party service providers to use your personal data for their own purposes and only permit them to process your personal data for specified purposes and in accordance with our instructions.
International Transfers
We do not transfer your personal data outside the European Economic Area (EEA).
5. Data Security
We have put in place appropriate security measures to prevent your personal data from being accidentally lost, used or accessed in an unauthorised way, altered or disclosed. In addition, we limit access to your personal data to those employees, agents, contractors and other third parties who have a business need to know. They will only process your personal data on our instructions and they are subject to a duty of confidentiality.
We have put in place procedures to deal with any suspected personal data breach and will notify you and any applicable regulator of a breach where we are legally required todo so.
6. Data Retention
We will only retain your personal data for as long as necessary to fulfil the purposes we collected it for, including for the purposes of satisfying any legal, accounting, or reporting requirements. To determine the appropriate retention period for personal data, we consider the amount, nature, and sensitivity of the personal data, the potential•◦◦◦•risk of harm from unauthorised use or disclosure of your personal data, the purposes for which we process your personal data and whether we can achieve those purposes through other means, and the applicable legal requirements.
By law we have to keep basic information about our customers (including Contact, Identity, Financial and Transaction Data) for six years after they cease being customers for tax purposes.
In some circumstances you can ask us to delete your data: see Your legal rights below for further information.
In some circumstances we may anonymise your personal data (so that it can no longer be associated with you) for research or statistical purposes in which case we may use this information indefinitely without further notice to you.
7. Your Legal Rights
Under certain circumstances, you have rights under data protection laws in relation to your personal data. You have the right to:
- Request access to your personal data (commonly known as a "data subject access request").
- Request correction of the personal data that we hold about you.
- Request erasure of your personal data.
- Object to processing of your personal data where we are relying on a legitimate interest (or those of a third party) and there is something about your particular situation which makes you want to object to processing on this ground as you feel it impacts on your fundamental rights and freedoms.
- Request restriction of processing of your personal data.
- Request the transfer of your personal data to you or to a third party.
- Withdraw consent at any time where we are relying on consent to process your personal data.
If you wish to exercise any of the rights set out above, please contact us.
No fee usually required
You will not have to pay a fee to access your personal data (or to exercise any of the other rights). However, we may charge a reasonable fee if your request is clearly unfounded, repetitive or excessive. Alternatively, we may refuse to comply with your request in these circumstances.
What we may need from you
We may need to request specific information from you to help us confirm your identity and ensure your right to access your personal data (or to exercise any of your other rights). This is a security measure to ensure that personal data is not disclosed to any person who has no right to receive it. We may also contact you to ask you for further information in relation to your request to speed up our response.
Time limit to respond
We try to respond to all legitimate requests within one month. Occasionally it may take us longer than a month if your request is particularly complex or you have made a number of requests. In this case, we will notify you and keep you updated.
8. Contact Details and Complaints
If you have any questions about this privacy notice, please contact us using the details set out below.
Full name of legal entity: Alastra Labs Ltd
Email address: partners@alastralabs.com
Postal address: 30 Churchill Place, Canary Wharf, London E14 5RE
You have the right to make a complaint at any time to the Information Commissioner's Office (ICO), the UK supervisory authority for data protection issues (www.ico.org.uk).We would, however, appreciate the chance to deal with your concerns before you approach the ICO so please contact us in the first instance.
9. Cookie Policy
Our website uses cookies to distinguish you from other users of our website. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site
.A cookie is a small file of letters and numbers that we store on your browser or the hard drive of your computer if you agree. Cookies contain information that is transferred to your computer's hard drive.
We use the following cookies:
- Strictly necessary cookies. These are cookies that are required for the operationof our website. They include, for example, cookies that enable you to log intosecure areas of our website, use a shopping cart or make use of e-billing services.
- Analytical/performance cookies. They allow us to recognise and count thenumber of visitors and to see how visitors move around our website when they areusing it. This helps us to improve the way our website works, for example, byensuring that users are finding what they are looking for easily.
- Functionality cookies. These are used to recognise you when you return to our website. This enables us to personalise our content for you, greet you by name and remember your preferences (for example, your choice of language or region).
- Targeting cookies. These cookies record your visit to our website, the pages you have visited and the links you have followed. We will use this information to make our website and the advertising displayed on it more relevant to your interests. We may also share this information with third parties for this purpose.
You can block cookies by activating the setting on your browser that allows you to refuse the setting of all or some cookies. However, if you use your browser settings to block all cookies (including essential cookies) you may not be able to access all or parts of our site.
10. Changes to this Privacy Notice
We may update this privacy notice from time to time. We will notify you of any changes by posting the new privacy notice on this page. You are advised to review this privacy notice periodically for any changes.