Algorys designs the AI, data, automation, cloud, or integration layer needed to remove manual work, improve visibility, and hand over a system your team can run.
The categories overlap by design. Most meaningful improvements combine data movement, workflow logic, and reliable deployment.
Move AI from pilot experiments into governed operational workflows.
Discuss your AI use caseAI pilots, manual document work, and decision processes that never reach reliable production.
LLM applications, retrieval workflows, document intelligence, predictive models, and production controls.
Teams with clear use cases, sensitive workflows, or AI ideas that need operational guardrails.
Turn fragmented operational data into reliable data products.
Review your data workflowManual reporting, inconsistent definitions, fragile pipelines, and data paths that cannot support AI or analytics.
Pipelines, warehouse/lakehouse models, semantic layers, dashboards, quality checks, and observability.
Teams that already have useful data but cannot trust, access, or operationalize it quickly.
Remove repetitive handoffs across the tools your team uses every day.
Map your automation opportunityManual copying, approvals, inbox work, ticket enrichment, finance processing, and spreadsheet-based coordination.
Workflow automation, document processing, human-in-the-loop approvals, triggers, and orchestration.
Operations teams losing time to repeatable coordination across systems.
Create the infrastructure layer that lets modern systems run reliably.
Plan your cloud foundationUnclear cloud architecture, brittle releases, environment drift, scaling limits, and weak operational visibility.
Cloud architecture, infrastructure as code, containerized runtimes, CI/CD, monitoring, and rollback controls.
Teams whose AI, data, or automation roadmap is blocked by unstable infrastructure.
Connect systems that currently force people to copy, chase, export, and reconcile data.
Plan an integration buildDisconnected ERP, CRM, SaaS, and operational systems that create duplicate work and unreliable data movement.
API integrations, event-driven workflows, data synchronization, connector design, and integration monitoring.
Teams with multiple business systems that need consistent data and coordinated workflows.
We do not sell generic roadmaps. We define the measurable bottleneck, build the right system layer, and leave behind operating knowledge.
We will help identify whether the right move is AI, data infrastructure, automation, integration, cloud work, or a smaller first build.
