Consulting

Working out where AI and automation actually fit, what is worth doing first, and what to leave alone. The output is a recommendation, not a sales pitch for a build.

Ask about consulting

Why it is separate from the build

Advice from whoever wants the build is worth less than advice from someone willing to say the build is not needed. Consulting is quoted on its own, and a recommendation to change nothing is a valid result.

What it covers

Scoped to the question in front of the business, not a standard assessment applied to everyone.

Where AI fits

  • Task by task, not tool by tool
  • What a model does badly, stated plainly
  • Where a rule beats a model

What to automate first

  • Ranked by time recovered against effort
  • What depends on what
  • What to leave manual on purpose

Risk and data handling

  • Where data goes, tool by tool
  • What a provider retains
  • A short written position for the team

How it runs

Short, scoped, and finished with something written rather than a conversation you have to remember.

Looking at the actual work

  • The systems in use, and what they hold
  • The steps people repeat by hand
  • Where time is going, measured where it can be

A written recommendation

  • Ranked, with the reasoning shown
  • What it would take, in rough shape
  • Yours to act on, with or without Cognivren

What it is grounded in

Ten years building and running AI and machine-learning systems, a Masters in Computer Science, and delivery experience across ecommerce, industrial equipment and professional services. The recommendation comes from having built the thing being recommended, which is also why it sometimes says not to.

Ask about consulting

A short conversation about what the business is trying to fix is enough to say whether there is anything worth advising on.

support@cognivren.com

07 5230 8700