RŌNIN / AI CONSULTING

AI that solves
real problems.

AI is useful when it removes friction, improves a decision or gives people back time. Rōnin helps businesses find those opportunities and turn them into practical systems.

Discuss an AI opportunity
DiscoverIdentify valuable AI and automation use cases.
EvaluateCheck feasibility, data needs, risks and effort.
DesignDefine the workflow, architecture and human controls.
ImplementMove from concept to prototype or working integration.

01 / WHAT I HELP WITH

Start with the process, not the hype.

01

AI Opportunity Assessment

Review business processes and identify where AI or automation can create a meaningful operational benefit.

02

Workflow Automation

Turn repetitive, rules-heavy or information-intensive processes into structured automated workflows.

03

AI Integration

Connect language models and AI services to existing tools, APIs, data sources and internal applications.

04

Prototype & Architecture

Validate an idea with a focused prototype and define an implementation approach that can grow beyond the demo.

05

AI Enablement

Help teams understand where generative AI fits into day-to-day work and how to use it with clear boundaries and repeatable practices.

02 / APPROACH

From vague idea to clear next step.

01 / UNDERSTAND

Map the process.

What happens today, who is involved and where does the friction actually occur?

02 / ASSESS

Find the leverage.

Determine whether AI, conventional automation or a simpler software change is the right tool.

03 / DESIGN

Define the system.

Specify data flow, integrations, human checkpoints, security boundaries and expected outcomes.

04 / BUILD

Prove it works.

Create a focused prototype, integration or implementation roadmap based on the agreed scope.

03 / GOOD FIT

Useful when the problem is real, but the solution is not obvious.

Good starting points

  • Repeated manual data entry or transfer
  • Document-heavy operational processes
  • Internal knowledge that is difficult to access
  • High-volume email or text-based workflows
  • Manual classification, triage or summarisation
  • Existing software that needs an AI capability

What I avoid

  • Adding AI only because it is fashionable
  • Automating a broken process without examining it
  • Black-box decisions without appropriate controls
  • Ignoring security, privacy or operational ownership
  • Building large systems before the use case is validated
  • Promising outcomes the technology cannot reliably deliver

04 / AI INQUIRY

Where could AI help your business?

You do not need a finished concept. Describe the process, bottleneck or idea and we can start from there.

A short description is enough for the first conversation.