AI and Workflow Automation Review

Not sure what to automate?

We look at your workflows, documents, decisions and approval steps, and find where AI would save real time without adding risk you cannot accept.

What you receive

  • A shortlist of workflows ranked by value and risk
  • An honest assessment of anything that is not ready for AI
  • A one-page decision for leadership: where to start, what to leave alone and what the first build should prove

Workflow Automation Build

Automate a workflow, start to finish.

We build a production AI agent or automation around a clearly defined workflow and an agreed standard of correct.

What you receive

  • A working AI system with human approval where needed
  • Automatic tests that run whenever the system changes
  • Monitoring and logs your team can read
  • The system design and code, in your repository
  • Deployment in your cloud or on your own servers
  • Handover guides and training for your team

AI System Evaluation

Find out whether your AI works.

Many AI systems go live without tests. A change that fixes one case can break others, and nobody notices. We test an existing system against real examples from your work.

What you receive

  • A representative test set
  • A clear definition of what a right answer looks like
  • A review of prompts, tools, safety checks and failure handling
  • A concise report for leadership, risk and compliance teams

How we work with you

We work forward-deployed: an Oridom AI engineer works directly with the people who do the job, in your tools and on your real cases, until the system is running and your team owns it.

Start with the work · Build where it will run · Show progress every week · Hand over when it works

  1. Discovery

    We agree the workflow, the users, the risks and what a right answer looks like. We collect real examples from your work. These become the test set.

  2. Pilot

    We build the smallest useful system and connect it to the tools and documents involved in the work.

  3. Production hardening

    We run the system against the full test set and add monitoring, access controls, logs and approval steps.

  4. Handover

    We deploy the system, document it and train the people who will operate and improve it.

Good to know

What you own

You own the code, prompts, test sets and documentation. They live in your repository from the first day.

Models and tools

We are not tied to one model or vendor. We choose for each workflow and explain the choice in writing.

After handover

Your team runs the system with the monitoring and guides we hand over. If you want us to stay involved, support is agreed separately.

Still not sure which one fits?

Bring us one workflow. We will help you identify the right starting point and tell you if AI is not the answer.

Book a 30-minute session