Otinga

Enterprise innovation, built for the AI shift

Take the next step.

Half an hour with our founder. No deck.

  1. 1 Leave your details
  2. 2 Pick a time that suits you
  3. 3 Bring one problem, leave with a next step
Francois van der Merwe
Most AI programmes fail on arithmetic, not ambition. We put a number on the work before anyone builds it.
Francois van der Merwe, Founder and CEO, Otinga.io

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Under a minute. Your details go only to Otinga, never sold or shared.

What is in the way

You are measured on AI results before the tools exist.

You cannot cost it

Months of discovery, and still no payback number for finance.

You cannot ship it

Hackathons and workshops got applause. Nothing reached production.

Nobody owns it

AI runs in pockets. Spend duplicates. Nobody is accountable.

How we deliver it

Three pillars

Executive layer

AI Leadership

One plan, and leaders who can run it.

What changes Leadership stops debating whether and starts deciding what. The decision is owned and written down, so it outlives its sponsor.

See what is included
Strategy
Where AI gives you an edge, and how it serves the goals you already have.
Ownership and capability
Who decides, who is accountable, who carries it when the sponsor moves on.
Investment
What is worth funding, at what level, on what basis.
Governance, risk and compliance
What you may do, decided early, and the standard every proposal is judged against.

Organisational layer

AI Fluency

A working pilot in two days.

What changes Ideas get tested before they get promised. The organisation has proof it can move.

See what is included
Scale the ambition
Take AI out of the central team and into the hands of the people who know the work.
Education and enablement
Create the base from which to build AI outcomes.
Accelerate what is running
Unblock stalled initiatives in days, not quarters.
Innovate in hours, not months
Hackathons, agentathons and promptathons take ideas from concept to outcome.

Operating layer

AI Dividend

Ranked and costed opportunities.

What changes Your board opens one place and sees what AI costs, what it returns, whether it is clean and where it stands.

See what is included
Automatic business cases
Every opportunity arrives costed, sized and comparable.
Roadmap
One view of what is coming, what is live and what is parked.
Return on investment
What each initiative promised against what it returned.
Implementations
Implement and execute on the highest value AI use cases.
Compliance and governance tracking
The position on every AI system, maintained, not rebuilt when a regulator asks.

The enterprise moves at the speed of its slowest unanswered question.

Otinga

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