PerceptionPerception

    AI use cases

    IAOO, automation & RAG use cases

    Perception AI is a Paris-based AI consulting firm. Explore projects delivered for mid-market teams: unified data, automated workflows and RAG assistants.

    Your situation

    The real pain points we solve

    Concrete use cases, no buzzwords, with measurable outcomes.

    Are teams losing time on repetitive tasks?

    We audit bottlenecks, prioritise quick wins and automate repetitive workflows connected to your tools.

    • Automation flows (APIs, RPA, webhooks)
    • Unified data layer with IAOO
    • Continuous ROI tracking

    Struggling to run projects end-to-end and delegate?

    We clarify ownership, structure critical steps and deploy AI assistants to make execution reliable.

    • Process mapping and handoffs
    • RAG copilots for procedures and decisions
    • Automated follow-ups and approvals

    High turnover and low process structure?

    We formalise knowledge, standardise practices and secure operations with resilient workflows.

    • Structured knowledge base + RAG
    • Playbooks and automated onboarding
    • Data governance and quality controls

    Contact our team for an audit and diagnostic

    We deliver high-value, tailored solutions: no buzzwords, no “magic” tool sales. We provide a deep value-chain assessment, a clear strengths/weaknesses review, and robust deployments.

    Use cases

    Measurable AI use cases

    Real-world projects combining IAOO, automation and RAG to deliver measurable outcomes.

    Real estate group (property management, development, asset management)

    Full data overhaul and process automation

    Context

    Comprehensive diagnostic, IAOO object model design and automation via accounting APIs. Delivered a bespoke CRM to automate property management invoicing.

    Operational challenges

    • Data spread across multiple business lines with different rules

    • Frequent re-keying between accounting, property management and internal tools

    • Limited cross-functional visibility to prioritise high-impact actions

    Results delivered

    • +30% productivity across operations and finance teams

    • Unified data model covering property management, development and asset management

    6 to 10 weeks (Diagnostic → Build → Deployment)5 consultants

    Technologies used

    Data StructuringCRMObject DatabaseAPI AutomationAccounting
    Online training organisation

    Intelligent document search (RAG)

    Context

    Structured their knowledge base and delivered a hybrid search (retrieval + reranking) assistant with sourced answers, deployable on-prem or in the cloud.

    Results delivered

    • Target latency achieved: ~5 seconds

    • Operational MVP in 1 to 2 weeks followed by 60-day hypercare

    2 to 3 weeks (MVP) + rolling iterations1 consultant

    Technologies used

    PythonFastAPI (async)DockerWebSocketRAGVector DB
    Retail network (building materials)

    Quote automation and multichannel integrations

    Context

    Mapped inbound flows (website, email, marketplaces), structured stock/pricing data and automated PDF quote generation with approval workflow.

    Results delivered

    • Initial deployment in 3 to 6 weeks with phased rollout

    • 24/7 automated responses across digital channels with PDF quotes emitted

    3 to 6 weeks (progressive)1 consultant

    Technologies used

    PythonEmail AutomationData StructuringRAGPDFConnectors/API
    Construction project management firm

    Document AI quote automation

    Context

    Delivered an end-to-end pipeline: OCR + LLM structuring, automated batching, validation interface and purchase order creation via API.

    Operational challenges

    • Highly heterogeneous incoming formats with variable document quality

    • Short processing deadlines and heavy pressure on delivery teams

    • Human validation remained mandatory before issuing purchase orders

    Results delivered

    • POC completed in 27 days

    • Inference cost for test batch: ~€3.80 (30 quotes × 5 pages + 10-page RFP)

    4 weeks (POC)1 to 2 consultants

    Technologies used

    PythonFastAPIReactIMAPOCRLLMAPI

    A concrete example

    Discover how we transform an organisation's processes.

    Context

    The challenge

    A 25-person company was losing 31 hours every week on manual customer, billing and after-sales work, creating errors and stress.

    Solution

    What we delivered

    Deployed an automated system connecting CRM, invoicing and stock tracking through bespoke intelligent workflows.

    Impact

    The results

    90% reduction in processing time, near-zero data-entry errors and 25% uplift in customer satisfaction.

    Next steps

    Discuss your use cases

    Book a 10-day IAOO diagnostic: prioritised use cases, ROI roadmap and delivery plan.