Most AI initiatives do not fail on technology. They fail in understanding the underlying business problem, and between the pilot and the organisation: The problems is typically No business case anyone signed, No architecture that survives the first integration, and No one that takes ownership of the result.

ARNVIND GROUP runs the whole path. We identify where AI creates value, build the solution with our own engineers, find and assess the people who will take it over, and stay until it runs without us. We do this for our own products – used daily in regulated pharma environments – and we do it for clients.

Book a free 90-minute AI Opportunity Workshop

What we have built – and run

We do not advise on AI from the outside. We operate it ourselves.

• Plannertech – AI-driven planning and knowledge management for pharmaceutical QC and laboratories. Rolled out to more than 2,000 users at a global pharma company; used across Europe. GxP-compliant. Four hours of planning in four seconds.
• Librarian – enterprise agentic RAG for knowledge management, built on AWS/Azure, LangGraph, with LLM evaluation and scoring pipelines in production.
• Scouty – multi-agent system for market research and outreach: autonomous pipelines, browser automation, LLM-as-a-judge quality control

Rated AAA Gold by Dun & Bradstreet for multiple consecutive years.

How we work – five steps, one partner

1 — Identify.

AI Opportunity Workshop, 90 minutes, free. We map your processes with your people and leave you with three to five concrete, measurable use cases – and an honest view of which ones are not worth doing.

2 — Decide.

Business case, architecture and plan. Cost, value, data readiness, risk and compliance for the use case you choose. A plan your CFO and your IT security lead can both sign. Fixed price.

3 — Team.

Who will own this? Every project ends with a hand-over, so we start it with the question of who takes over. Through EXO ARNVIND, our Talent practice, we define the permanent AI roles you need, find and assess the candidates – or assess the people you already have.

4 — Deliver.

Agile MVP, then production. We build in short sprints with your users in the room, using our Structured Specification Driven Design (SD2): every sprint starts from a written, testable specification, so scope, quality and cost stay visible. Our own engineers build; where a project needs more hands, we bring in specialists we have assessed the same way we assess your hires.

5 — Anchor.

Your team runs it. We train your people on the solution and on the methods behind it, document the system for its next owner, and step back on a date we agreed at the start.

Where we create value

Automation of complex, repetitive work. Planning, reporting, document handling, case processing – the tasks that are too varied and complex for classic RPA and too cumbersome, time consuming and/or routine for your specialists.
Agents that work across your systems, with humans deciding.

Knowledge at scale. Agentic RAG over your documentation, procedures and history, with evaluation you can audit. Built for regulated environments where a wrong answer has a cost.

AI in the product. Embedding LLMs and agents into software you sell or run, from architecture to evaluation to operations.

Engineering with AI. Faster development cycles and higher quality through AI-assisted development – we use it on every project and will set it up in yours.

Industries

Pharma and life science – QC and QA planning, production support, GMP documentation, technical knowledge management. Our home ground.

Finance and professional services – Research and analysis agents, document-heavy workflows, market prediction models.

Government and public sector – Administrative case handling, planning, citizen-facing knowledge.

Logistics and supply chain – Planning, forecasting, resource optimisation.

Technology and software – AI in the product and AI in the development process.

Whatever the sector, we start with the business problem – and we will tell you when AI is not the answer.

Built for regulated enterprise environments

• Security and compliance: GDPR, SOC2, GxP; on-premise, EU-region cloud or hybrid.
• Model choice by need, not by vendor: AWS Bedrock, Azure, open-source models, or a mix. We benchmark before we recommend.
• Evaluation you can show an auditor: every production agent we build ships with scoring pipelines and human review points.
• EU AI Act ready: risk classification, documentation and human oversight designed in from the plan, not added afterwards.

Start here

Book a free 90-minute AI Opportunity Workshop – on site or online. You leave with concrete use cases, whether or not you work with us afterwards.

Need and AI Consultant to kick-off, Assist in your AI project? – Book a free 30-minute sparring session.

Already have a project running and need an assessment or an AI role you cannot fill?
Book a free 30-minute role assessment/review with EXO ARNVIND