AI Strategy, Prototyping & Product Development

Services / AI

Artificial Intelligence.

At Arch, we help organisations cut through the noise and apply AI where it matters most. Whether you're exploring the potential of machine learning, building a smart product, or scaling a custom LLM solution, our AI Innovation Lab brings strategy, design, and engineering together. We collaborate closely with your team to imagine, test, and deliver AI that’s grounded in real user needs and measurable outcomes not just algorithms.

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AI Discovery & Strategy Workshops.

Every project starts with clarity. Our workshops help you identify the real opportunities for AI within your organisation. We bring together stakeholders, user insight, and technical expertise to explore ideas, assess feasibility, and shape a roadmap that aligns with your business goals.

These focused sessions surface high-value use cases, demystify the tech, and build alignment across teams, creating the foundation for smarter innovation.

POC Development.

Before you scale, you test. Our PoC process builds lightweight, low-risk prototypes that bring your AI idea to life. Whether it’s a smart assistant, a content summariser, or a decision support tool, we validate technical and user feasibility quickly, helping you secure buy-in and investment with confidence.

Prototypes are built for demonstration, learning, and iteration, getting you from theory to insight fast.

Innovation Lab.

For organisations looking to go further, our AI Innovation Lab offers a flexible, embedded model. We operate as a cross-functional team blending strategy, design, engineering, and data science to co-create intelligent solutions with you.

This partnership model is perfect for teams without internal AI capability, or those looking to experiment safely without long-term commitments.

Custom AI Product Development.

When you're ready to scale, we deliver end-to-end. We design and build custom AI solutions that solve real problems, from bespoke GPT-powered assistants to domain-specific prediction engines. Our approach combines robust infrastructure, ethical AI principles, and user-first design to ensure your product is scalable, secure, and impactful.

We build with modern AI stacks and proven practices—so you can go from idea to implementation with confidence.

AI Readiness.

Building the product is only half the story. We help your teams adopt, scale, and sustain AI in the real world. From change management and training to performance monitoring and model governance, we support the rollout and long-term success of your solution.

Whether you need help upskilling internal teams or embedding AI into your daily operations, we make sure your investment delivers lasting impact — not just technical outputs.

R&D Concept:

ClarityAI.

Clinicians are drowning in unstructured data, from consultation notes and referral letters to lab results and EHRs. Valuable insights are often buried in lengthy, fragmented records, leading to missed information, slower decisions, and burnout.

The Concept

ClarityAI is a prototype LLM-powered assistant that reads clinical notes, extracts key data points, and generates concise, medically-relevant summaries, paired with context-aware suggestions or alerts.

Use case: A GP or specialist uploads a patient’s consultation history and receives:

A structured summary of key diagnoses, symptoms, and medications
Flags for potential red flags (e.g. missed follow-ups, drug interactions)
Suggested questions or follow-up actions based on guidelines

HOW

How It Could Work and Objectives.

How It Could Work

Input Layer: Free-text notes, patient history, lab reports
LLM Pipeline: Custom fine-tuned GPT/LLM trained on anonymised clinical datasets (MIMIC-III or synthetic data for R&D)
NLP Modules: Named entity recognition (NER) for medical concepts, ICD/SNOMED term mapping
Output: Concise summary + structured JSON for downstream use (e.g. EHR integration, analytics, risk scoring)

R&D Objectives

Test the viability of LLM summarisation in high-context, high-risk healthcare environments
Explore accuracy vs. hallucination risk
Measure time saved for clinicians in routine triage or documentation
Validate regulatory/compliance considerations (e.g. in UK NHS, GDPR, MHRA)

ClarityAI

Potential Impact.

ClarityAI is designed to meaningfully reduce admin time for clinicians, improve the safety and efficiency of triage, and enhance patient communication through clearer, structured summaries. By offering integration opportunities with EHR providers and digital health platforms, it opens up scalable potential for real-world healthcare environments.

To power this, we draw on a modern, flexible AI stack:

OpenAI GPT-4 or Claude, with fine-tuning or retrieval-augmented generation
LangChain for orchestration of multi-step AI workflows
FHIR-compliant output for seamless EHR compatibility
Hugging Face transformers for on-prem or lightweight model options
Ethically sourced data from synthetic patient records and open clinical corpora

FAQ.

1. I’m not sure where AI fits in my organisation—can you help?
Yes. Our Discovery Workshops are designed to explore potential use cases, assess feasibility, and help your team identify where AI can provide real value.

2. Can you help us prototype before we commit to a full build?
Absolutely. Our PoC phase is designed to validate ideas fast—building simple, testable versions of your AI product to demonstrate value and inform next steps.

3. What kind of AI technologies do you work with?
We work across OpenAI, Claude, Hugging Face, and AWS/GCP services. We also build with LangChain, vector databases, and LLM orchestration tools depending on the challenge.

Work with us.

Got an amazing idea and need a dedicated specialist team to help get it off the ground? Got a thriving business that you’re looking to take to the next level? Get in touch today and see how can work together.