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Digital & Ventures

Digital transformation, AI & automation

We identify which processes are worth improving or automating, define what the solution must do, and oversee delivery, using AI only where it improves a measurable outcome.

What it is

Most businesses carry repetitive work in finance, credit, reporting, document handling and customer follow-up. Some of it should be automated; some should be redesigned first; some is not worth the effort.

We start with the process and the economics, not the tool. Where automation, analytics or AI is justified (in finance and credit workflows, risk monitoring or decision support), we specify it, bring in the right people to build it and stay involved until it delivers.

Developers and technical specialists are engaged as each project requires.

When it is useful

  • Month-end or management reporting takes too long
  • Credit and collections decisions rely on manual checks
  • You want earlier warning of customer or cash problems
  • Documents are handled manually across several systems
  • You are unsure whether an AI tool would actually help
  • A previous automation project did not deliver

What we work on

Scope is agreed up front; not every engagement needs every area.

Finance & credit workflows

Reporting, credit checks, collections and approvals, with AI where it helps.

Predictive analytics

Models that anticipate payment behaviour, demand or cash needs.

Risk monitoring

Indicators and alerts that surface problems early.

Decision-support systems

Tools that put the right information in front of the decision-maker.

Process automation

Hand-offs between people and systems, documents and data entry.

Internal tools

Purpose-built tools for specific, recurring tasks.

How we work

  1. Diagnose

    Map the process and what it costs.

  2. Prioritise

    Rank opportunities by effort and benefit.

  3. Specify

    Define requirements and select the right specialists.

  4. Oversee

    Delivery, quality control and measurement.

Typical situations

Illustrative situations, not client case studies.

A finance team producing reports by hand

Which reports can be generated from source systems, and what has to change first.

A credit team reviewing every order manually

Where rules and data can handle routine decisions, so people focus on the exceptions.

Adviser

Richard Cuaresma helps businesses make better decisions where growth, credit, cash, risk and technology intersect.

Describe the work that takes too long. We will tell you whether it is worth changing.

Discuss your processes

Confidential and without obligation.