
Logiciel helps enterprises design, build and operate serverless architectures for applications, data systems, AI-first platforms and utility workloads. From event-driven services and API backends to AI energy platforms, AI in utilities, observability, security and managed operations, we help teams ship faster while improving scalability, reliability and cost control.
We build serverless systems that help teams reduce operational overhead and improve delivery velocity.
to product, data and cloud priorities
designed around APIs, queues, streams, functions and managed cloud services
for SaaS platforms, enterprise applications and AI-first workflows
for AI energy, AI and energy platforms and AI in energy industry use cases
for AI in renewable energy sector and utility systems
for function performance, latency, failures, retries, cost and downstream impact
Current-state assessment, workload selection, cloud fit analysis, architecture planning and phased implementation roadmap.
Architecture for functions, queues, event buses, streams, APIs, storage triggers, workflow orchestration and asynchronous processing.
Cloud-native APIs, authentication workflows, background jobs, integrations, data services and scalable application backends.
Serverless foundations for AI energy companies building forecasting, optimization, demand intelligence and operational automation systems.
Architecture for AI in utilities, grid analytics, usage forecasting, field service workflows, asset monitoring and customer operations.
Managed ingestion, transformation, enrichment, routing, event processing and analytics workflows for energy, utilities and enterprise data platforms.
Ongoing monitoring, incident response, cost review, performance tuning, security updates and continuous improvement.
A standing team of cloud architects, serverless engineers, DevOps specialists and data engineers embedded into your serverless roadmap.
Senior serverless architecture consultants and cloud engineers who strengthen your internal application, platform, data or AI teams.
Fixed-scope engagements with defined architecture outcomes, delivery milestones, reliability targets and success baselines agreed up front.
Patterns from our cloud, data and AI engineering teams that help enterprises build serverless systems that scale without operational complexity.
How we structure workload ownership, event governance, security controls, observability, cost reviews and continuous improvement across teams.
A practical approach to ranking serverless opportunities by event volume, latency sensitivity, data dependency, cost profile, business impact and operational complexity.
We assess current applications, cloud workloads, event flows, infrastructure overhead, AI energy requirements and operational priorities.
We identify which workloads should move to serverless, then map APIs, events, queues, triggers, data flows and downstream systems.
We build functions, APIs, workflows, event buses, security controls, deployment automation and managed data-processing patterns.
We harden serverless systems with monitoring, alerts, access policies, audit trails, retries, runbooks, cost dashboards and recovery workflows.
We hand over a repeatable serverless architecture practice, including ownership, KPIs, review cadences, dashboards, runbooks and improvement workflows.



Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.
Serverless Architecture Engineering includes serverless strategy, event-driven architecture, cloud functions, APIs, queues, workflow orchestration, data processing, observability, security, cost controls and managed operations.
Enterprises need serverless architecture to reduce infrastructure management, improve scalability, accelerate delivery and run event-driven workloads with stronger operational efficiency.
Yes. Serverless architecture can support AI energy platforms by running scalable workflows for forecasting, optimization, data ingestion, event processing, alerts and automation.
Serverless helps AI in utilities by processing real-time events, automating workflows, scaling compute on demand and supporting data pipelines for grid analytics, usage forecasting and asset monitoring.
Yes. Serverless can support AI in the renewable energy sector with event-driven data ingestion, analytics workflows, forecasting triggers, optimization processes and operational dashboards.
Common deliverables include architecture designs, functions, APIs, event buses, queues, workflow definitions, security controls, dashboards, deployment automation, documentation and runbooks.
You retain ownership of all architecture assets, code, APIs, functions, workflows, dashboards, cloud configurations, documentation, runbooks and implementation materials.
Yes. We run managed operations with monitoring, incident response, cost review, performance tuning, security updates, reliability reviews and continuous improvement.
Ready to turn Serverless Architecture Engineering into a scalable foundation for applications, AI energy and utility platforms? Partner with Logiciel to build event-driven systems that reduce infrastructure overhead, improve reliability and support faster cloud delivery.