Every engagement is staffed from a single delivery organisation — with you from strategy and design through engineering and go-live. Pick where to start; we'll do the rest.
View all 12 practices →Greenfield builds, legacy modernisation, and product engineering — owned end-to-end, from the first sprint to a confident production launch.
Cloud, infrastructure, security, and the people to operate them — built for compliance-heavy environments and 24/7 uptime.
Generative AI, agentic systems, and the data platforms that make them real — engineered for regulated enterprises and audited eval rubrics.
We commit to a defined outcome before a single sprint starts — with clear scope, a named delivery lead, and measurable success criteria agreed up front.
Strategy, engineering, QA, and cloud operations run as a single delivery unit — one point of accountability with you from discovery through go-live.
We staff every engagement from one delivery organisation — with you from strategy and design through engineering and well past go-live. Here is exactly why that matters.
Generative interfaces, tool-using agents, and the evaluation harnesses to operate them in regulated environments — engineered to ship, audit, and scale.
We commit to measurable business outcomes with clearly scoped engagements. Success criteria and delivery targets are agreed up front — and we own them through to production.
SOC 2 · ISO 27001 aligned delivery. Every model-powered surface ships with a written evaluation rubric your auditor can run on demand.
BFSI, healthcare, manufacturing, telecom, retail, public sector — six industries with dedicated capability teams and domain-specific eval rubrics.
Every brand we ship, every interface we design, and every motion system we build is informed by — and often powered by — modern machine learning. AI is not a checkbox we tick at the end. It's how we engineer.
UIs that compose themselves around the user's intent — production-grade, defensibly evaluated.
Tool-using agents, eval harnesses, and the observability to operate them in regulated environments.
AI lives inside your ERP, CRM, and operational platforms — never as a parallel silo.
Every model-powered surface ships with a written rubric your regulator can audit on demand.
Reduction in manual review time — typical for document intelligence deployments
Typical window from signed PoC to first measurable production outcome
AI surfaces shipped with a written evaluation rubric — auditable on demand
A selection of recent enterprise engagements across BFSI, climate, healthcare, and manufacturing — each documented with the architecture, the evaluation rubric, and the measurable outcome.
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Clinical decision-support layer for a Fortune 500 health system. Generative UI authored per encounter, defensibly evaluated, regulator-auditable.
Read the case study →
Replacing 14 dashboards with a single tool-using agent for treasury operations. ‑62% time-to-resolution.
Real-time monitoring pipelines and a customer portal turning raw atmospheric data into board-defensible reports.
Every engagement produces architecture decision records your team owns after we leave.
AI and analytics outputs ship with written evaluation criteria — readable by your regulator, not just your engineers.
Milestones are defined against business metrics. You measure success in production results, not sprint velocity.
A proven five-stage engagement model that brings clarity and accelerates time-to-value.
Deep-dive into your business goals, technical landscape, and constraints — so every decision is grounded in your reality.
Co-create a roadmap with prioritised use cases, clear success criteria, and defined outcomes.
Agile sprints and production-grade engineering, demonstrated at every milestone — predictable, transparent delivery.
Controlled rollouts with change management, user enablement, and zero-downtime cutover.
Continuous optimisation, monitoring, and capability expansion as your needs grow.
Six convictions that shape how we think, decide, and deliver on every engagement.
We don’t treat AI as a feature. It is the lens through which we see every problem, every opportunity, every engagement.
We measure success not in deliverables or documents, but in real, measurable business outcomes for every client.
Agile is our operating system. We move fast because we are organised for it — not because we cut corners.
We tell clients what they need to hear — not what they want to hear. Honest, clear, direct communication builds real trust.
Every technology decision we make is ultimately a human decision. We keep people — clients, users, employees — at the heart of what we build.
In a field that reinvents itself every six months, curiosity and continuous growth are non-negotiable — for our team and our clients.
Six industries where we've shipped enough to be useful before the first call ends. Each one with a dedicated capability team and a domain-specific eval rubric.
Treasury, capital markets, neobanks, claims automation, and the agent platforms reshaping them.
Clinical decision support, regulated generative UI, claims, and care navigation.
Generative storefronts, demand forecasting, content infrastructure, and supply chain intelligence.
Predictive maintenance, computer vision QA, and the operations consoles around them.
Network analytics, customer-experience automation, and 5G operational intelligence.
Service design, identity systems, and AI deployments for government and civic infrastructure.
Perspectives from our engineering and strategy teams — on AI deployment, data architecture, and what it really takes to ship regulated software at enterprise scale.
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The four pipeline anti-patterns we see in every architecture review — and the sequence that fixes them.
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How we build auditable, regulator-readable eval harnesses for every model-powered surface we ship.
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Six practices, one accountable team — how the single-delivery model speeds time-to-outcome.
Read more →Partner with ArtAgile to unlock the full potential of AI, data, and modern engineering for your business. Let us build intelligent systems together — measurable, defensible, and operated for the long term.
