AI & automation consultancy for long-term improvement

Keep automation systems improving after launch

Korex keeps workflow systems, integrations, and AI-enabled processes monitored, maintained, and improving as the business changes.

What we do

  1. AI & automation strategy — We identify where AI and automation can reduce manual work, improve throughput, and create measurable operational efficiency.
  2. Workflow automation systems — We design and build workflow systems, integrations, and internal tools that remove manual work and make operations easier to scale.
  3. AI-native workflow implementation — We build production-ready AI workflows with the architecture, monitoring, safeguards, and controls needed for real operational use.
  4. Continuous improvement & support — We monitor, maintain, improve, and support automation systems so efficiency gains continue after launch.

Common starting points

  • AI & automation audit — Assess workflows, data, systems, risks, and opportunities before committing to AI or automation build work.
  • Workflow automation build — Build internal tools, workflow software, dashboards, and integrations that remove manual work from daily operations.
  • Operational systems improvement — Improve unreliable software, inherited systems, fragile integrations, and workflows that are holding operations back.

What this covers

  • Monitor workflow systems, integrations, and AI-enabled processes after launch
  • Maintain applications, automations, infrastructure, and operational workflows
  • Improve performance, reliability, usability, and operational fit over time
  • Provide a direct line to people who understand the system and the workflow behind it

When this is useful

  • Automation is live, but the workflow keeps changing
  • Previous suppliers shipped work but did not keep improving it
  • Internal teams need senior technical support without adding permanent headcount
  • Systems need regular care so operational gains do not decay over time

What you get

  • Systems that keep pace with operational change
  • Fewer unresolved issues, surprises, and knowledge gaps
  • Continuous improvement instead of one-off project handoffs
  • A more stable automation function without having to manage it day to day

How we work

  • We stay close to the system after it goes live
  • We prioritise reliability, clarity, and measurable operational improvement
  • We document decisions and keep operational knowledge current
  • We focus on outcomes, not just deliverables

Frequently asked questions

It covers work to monitor workflow systems, integrations, and AI-enabled processes after launch.