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AI Product Development from
Idea to Production

Add AI to the tools and workflows you already use. WeUno connects AI models, agents and automation into existing software so businesses can improve efficiency without rebuilding everything from scratch.

AI Integration & Automation

Many businesses do not need a completely new AI product. They need AI to work inside the software, data and processes they already rely on.
We help connect AI into existing environments so it can support users, automate repetitive work and improve how information moves through the business.

What we integrate

  • CRM systems

  • ERP platforms

  • Internal applications

  • SaaS products

  • Databases

  • APIs

  • Document repositories

  • Cloud platforms

  • Knowledge bases

  • Email systems

  • Workflow tools

  • Customer portals

What we automate

Document workflows

Extract, classify, summarise and route information from documents.

Knowledge workflows

Help teams search, understand and use internal information faster.

Customer operations

Support customer service teams with intelligent responses, summaries and recommended actions.

Sales workflows

Assist with research, qualification, CRM updates and account intelligence.

Internal operations

Automate repetitive administrative and knowledge-heavy tasks.

Reporting and analysis

Turn structured and unstructured data into summaries, insights and reports.

Product workflows

Embed AI directly inside existing digital products and user journeys.

AI agents inside existing systems

Agents can be wired directly into existing workflows, with approval built in at the right step.

Receive request  →  Retrieve data  →  Check policy  →  Update system  →  Request approval  →  Complete action

Integrating RAG

  • Policies

  • Product documentation

  • Customer records

  • Contracts

  • Procedures

  • Research

  • Internal knowledge

Automation with the right guardrails

AI automation vs traditional automation
Traditional automation struggles with unstructured information. AI automation handles language, documents and variable inputs, adding classification, interpretation, research and recommendations to the mix.
Human approval where it matters
Low-risk actions can complete automatically, but the system prepares, recommends and requests approval wherever the stakes are higher, escalating exceptions and logging what happened along the way.
Security and permissions
We build in authentication, user permissions and clear data boundaries from the start, with tenant isolation, secrets management, audit trails and approval rules controlling what any automation can do.
API and platform integration
Integration happens through the interfaces you already have: REST APIs, GraphQL and webhooks, event-driven systems and custom middleware, with authentication, data transformation and workflow orchestration handled properly.

Our integration

process

  • 01. Understand

    Map the existing systems, data and workflow.

  • 02. Identify

    Find where AI can remove friction or improve outcomes.

  • 03. Design

    Define the integration, permissions and user experience.

  • 04. Prototype

    Test the AI capability against real data and workflows.

  • 05. Integrate

    Connect the models, APIs and systems.

  • 06. Test

    Validate normal, failure and edge-case scenarios.

  • 07. Deploy

    Move into production with monitoring and controls.

  • 08. Improve

    Use real workflow data to refine performance.

Modernising existing products with AI

  • AI search

  • Intelligent assistants

  • Recommendations

  • Document analysis

  • Automated workflows

  • AI agents

  • Natural-language interfaces

  • Generative AI features

Use cases

  • Financial services

  • Professional services

  • SaaS platforms

  • Customer service

  • Sales operations

  • Compliance

  • Internal knowledge

  • Healthcare workflows

  • Document processing

  • Enterprise operations

  • Research

  • Reporting

Why WeUno

AI plus integration engineering

We can build both the intelligent layer and the connections it depends on.

Works with existing systems

AI can be introduced without replacing your entire technology stack.

Workflow-first approach

We start with the business process rather than the model.

Controlled automation

Permissions and approval points are designed into the workflow.

Add AI where it can make
a difference.