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AI ENGINEERING & BUSINESS AUTOMATION

We build AI solutions that work with your business—not just in a demo.

From operational automation to custom AI applications, Dotenum helps businesses and software teams build AI that connects with their existing systems, follows real workflows, and is designed for practical use.

AI Workflow AutomationCustom AI ApplicationsAI Engineering Partnerships
01 / OUR SERVICES

AI engineering for
real business needs.

Whether you need to reduce repetitive work, introduce AI into your product, or bring specialist engineering into a project, we help turn defined business requirements into working software.

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AI Workflow Automation

Connect documents, decisions, people, and business systems through intelligent workflows.

We help automate repetitive processes while keeping validation, approvals, and exception handling where they matter.

EXAMPLES

Document processing, customer enquiry handling, CRM integrations, approval workflows.

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Custom AI Applications

Build AI-powered applications around your users, data, and business rules.

From internal knowledge assistants to tool-connected AI features, we develop solutions designed for a specific purpose—not generic chatbot demonstrations.

EXAMPLES

Knowledge search, AI assistants, document intelligence, RAG applications, AI-enabled web features.

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AI Engineering Partnerships

Specialist AI development for software agencies, SaaS companies, and engineering teams.

We can take ownership of a defined AI component or work alongside your developers to help deliver a larger project.

EXAMPLES

AI integrations, agent workflows, RAG implementation, evaluation, debugging, deployment support.

02 / HOW WE WORK

Start with the workflow. Engineer the solution.

A useful AI system needs more than a capable model. It needs clear requirements, reliable integrations, appropriate safeguards, and a practical way to handle uncertainty.

01

Discover

Understand your users, current workflow, existing systems, and the problem worth solving.

02

Scope

Define the deliverables, dependencies, success criteria, responsibilities, and commercial terms.

03

Build

Develop the application, automation, or integration around the agreed requirements.

04

Validate

Test the solution against representative scenarios, including errors, edge cases, and situations requiring human review.

05

Deploy

Support deployment, documentation, handover, and the agreed post-launch arrangements.

03 / WHAT THIS CAN LOOK LIKE

From an incoming document to an approved business record.

Imagine a business receiving purchase orders as PDFs or scanned documents. Instead of manually copying every field into another system, an AI-assisted workflow could:

ILLUSTRATIVE WORKFLOWINPUT → OUTPUT
  1. 01Receive the document.
  2. 02Extract the relevant information.
  3. 03Check the extracted data against defined rules.
  4. 04Route uncertain or incomplete information for human review.
  5. 05Send approved data to the business system.
  6. 06Record the result for follow-up and traceability.

This is an illustrative workflow, not a claim about a completed Dotenum client project.

04 / WHO WE HELP

Built for teams with a real problem to solve.

You do not need a fully specified technical solution before contacting us. A clear description of the problem is a good starting point.

01

Growing businesses

You have existing software and operational processes, but repetitive work is consuming time or creating bottlenecks.

02

Product and SaaS teams

You want to add a useful AI capability to your application without treating the model as the entire product.

03

Software agencies

You need specialist AI engineering to deliver a defined component or support an existing client engagement.

05 / OUR ENGINEERING MINDSET

AI is one part of the system. The whole system has to work.

01

Workflow-first thinking

We begin with the process, users, and business requirements rather than choosing a model first.

02

Integration with existing software

We consider how the solution will connect with your current applications, APIs, and data.

03

Human oversight where needed

We design for review and exception handling when automation should not make a decision alone.

04

Defined delivery

We aim to agree on scope, responsibilities, and success criteria before implementation.

05

Maintainable handover

We consider testing, documentation, and ongoing ownership as part of the delivery conversation.

LET’S TALK

Have a workflow to automate, an AI feature to build, or a project that needs specialist engineering?

Tell us what you are working on. We’ll start by understanding the problem and whether Dotenum is a suitable engineering partner.