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CLEEV

Solutions

Start from the outcome.

Technology is the means, not the goal. Our solutions are organised around what changes in your business — and the services that get you there.

  1. 01

    Automate Operations

    Reduce repetitive manual activities.

    The problem

    Skilled people spend their days moving information between emails, documents and systems instead of applying their judgement.

    Our approach

    We identify the highest-volume manual steps, then combine AI for unstructured inputs with dependable automation for everything else — keeping people in control of exceptions.

    What we build

    • Document and email processing pipelines
    • Workflow orchestration with approval steps
    • CRM / ERP updates without re-keying
    • Operational dashboards and alerts

    Related services

  2. 02

    Build AI-Powered Products

    Create new intelligent digital products.

    The problem

    Adding AI to a product is easy to demo and hard to ship: reliability, cost, latency and evaluation all need engineering.

    Our approach

    We take AI product ideas from prototype to production — architecture, model selection, evaluation, application and infrastructure — as one engineering effort.

    What we build

    • AI-native SaaS applications
    • AI features inside existing products
    • Evaluation and monitoring pipelines
    • Scalable cloud infrastructure

    Related services

  3. 03

    Unlock Business Knowledge

    Make organisational information searchable and useful.

    The problem

    Answers exist somewhere in your documents and databases, but finding them depends on knowing who to ask.

    Our approach

    We connect your sources into a permission-aware knowledge layer, so people can ask questions in plain language and receive answers with citations.

    What we build

    • Retrieval-augmented assistants
    • Semantic search across repositories
    • Knowledge graphs of entities and relations
    • Source-cited answers with access control

    Related services

  4. 04

    Transform Customer Experience

    Introduce intelligent customer interactions.

    The problem

    Customers expect fast, accurate answers in their language at any hour — and expect requests to be resolved, not just acknowledged.

    Our approach

    We build customer-facing agents that draw on approved knowledge, take defined actions in your systems and hand over to people with full context.

    What we build

    • Customer service and sales agents
    • Voice AI for inbound calls
    • Multilingual messaging assistants
    • Seamless human handover

    Related services

  5. 05

    Modernise Business Systems

    Connect existing platforms and applications.

    The problem

    Legacy applications and disconnected tools slow down every change and make AI adoption harder than it needs to be.

    Our approach

    We modernise incrementally: stable APIs around existing systems, integrations between platforms and new components where they create the most value.

    What we build

    • API layers for legacy systems
    • CRM / ERP / database integration
    • Event-driven architectures
    • Incremental application modernisation

    Related services

  6. 06

    Empower Employees

    Deploy secure internal AI assistants.

    The problem

    Employees already use public AI tools — often with company data. Organisations need a secure alternative that knows the business.

    Our approach

    We deploy internal assistants connected to company knowledge and tools, with access rights, logging and usage policies built in.

    What we build

    • Secure internal AI assistants
    • Department-specific copilots
    • Usage policies and training
    • Access control and audit logging

    Related services

Solution scenarios

What this can look like.

Illustrative examples of how the solutions above apply in practice. They are scenarios, not client case studies.

Example scenario 01

Financial Services

An onboarding assistant that extracts data from client documents, flags missing items and prepares files for compliance review — with every step logged.

More in Financial Services →

Example scenario 02

Logistics

A document pipeline that reads delivery notes and customs paperwork, validates them against orders and flags discrepancies for an operator.

More in Logistics →

Example scenario 03

Retail & E-Commerce

A catalogue workflow that generates product descriptions in German, French, Italian and English from structured data, queued for review before publishing.

More in Retail & E-Commerce →

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Which outcome matters most to you?

Tell us where the friction is. We will start there.