AI agents & automation
Multi-agent orchestration that reasons, retrieves, and acts across your tools and data — with full traces and cost-per-run visible to you.
Not demos. Not notebooks. Operational systems your team can run, extend, and monitor — with observability built in from the start.
Multi-agent orchestration that reasons, retrieves, and acts across your tools and data — with full traces and cost-per-run visible to you.
LLM integration, agentic RAG with citation grounding, fine-tuning, and AI product development — concept to production-ready systems.
Serverless & container architectures across AWS, GCP and Azure. IaC with CDK or Terraform, full observability, cost tracking per workflow.
End-to-end architecture, backend, frontend, and deployment. We build the full product — not just the AI layer bolted on top of it.
Modern, performant web products with resilient APIs, clean UI, and the engineering rigor to support real user load — not landing pages.
AI readiness audits, workflow analysis, and pilot scoping. We find where AI moves the needle for your business — before you spend a dollar building.
A representative workflow from a recent engagement — the type of system we scope, build, and hand off within a fixed-price pilot.
A mid-size lending company needed to reduce manual document review time and improve consistency across underwriters. We built a multi-step pipeline that extracts, classifies, and summarises loan documents — with source citations and full audit logs for every decision.
A fixed-scope, fixed-timeline engagement. We compress months of discovery and iteration into a focused, measurable delivery loop.
We audit your current process, identify automation opportunities, and scope a precise pilot — no vague statements of work.
Fixed scope. We build a working system with full observability — cost per run, latency, agent traces visible to your team.
Cloud-hosted, monitored, documented. You own the code. We hand off a system your team can operate and extend without us.
Once the pilot proves value, we scope the next layer — more agents, more integrations, more workflows automated end-to-end.
Where AI has the highest ROI — and the lowest tolerance for error. We build with source citations, structured audit logs, and access controls in mind.
KYC automation, document review, fraud signal extraction. Traceable pipelines with structured audit logs and explainable outputs.
Clinical document intelligence, diagnostic RAG, prior auth automation. Designed for sensitive data environments with retrieval-grounded outputs.
Contract review agents, document intelligence, intake automation. Billable-hour leverage through AI-assisted workflows.
Predictive maintenance pipelines, supply chain agents, operational data intelligence at scale across plants and lanes.
Atlysys is a founder-led engineering studio. We've spent years shipping production systems, cloud infrastructure, and AI-powered workflows — not advising on them from the sidelines.
We build systems that work under real load first. Architecture decisions start with observability, cost visibility, and failure modes — not whiteboard abstractions.
LLMs should reason over your data, not hallucinate around it. Every output is grounded in retrieved context, with sources traceable back to the originating document.
Automation should augment decisions, not replace oversight. We design workflows with review checkpoints, override mechanisms, and transparent reasoning built in.
We work with tools we can operate at scale — not whatever is trending this week. Cloud-agnostic, observability-first, and pragmatic.
Six principles we follow on every engagement — the difference between a notebook experiment and a system your team can actually run.
Every system runs on real cloud infrastructure — not a local script. Hosted, monitored, logged, and documented before handoff.
Answers grounded in your documents, with cited sources and visible reasoning traces. No black-box outputs in regulated environments.
Cost per agent run, latency breakdowns, complete trace visibility via LangFuse, OpenTelemetry, and your existing dashboards.
Agents that work across Slack, Notion, Jira, and your internal tools — not isolated systems your team has to work around.
Structured for BFSI and healthcare workflows — audit trails, access controls, and data isolation considered from the architecture stage.
Full code handoff. No vendor lock-in to Atlysys. Your team can maintain, extend, and operate the system independently.
The lowest-risk way to see what AI automation actually does for your operation — before committing to a larger engagement.
We scope it together in a free 30-minute discovery call, agree the success criteria, and ship a system you can run on your own cloud. Then we hand over the keys.
Technical, direct answers — no marketing copy.