AI Strategy · AI readiness

How do you know whereAI should actuallybe applied?

Before automating work, understand work.

01 The gap

Documented process≠ real work.

The flowchart

  1. Request
  2. Review
  3. Approve
  4. Done

What actually happens

  1. Request
  2. Missing document
  3. E-mail
  4. Review
  5. Exception
  6. Rework
  7. Second review
  8. Approve
  9. Done

Exceptions, handoffs and informal work are where the time goes. They are also what a flowchart leaves out.

02 Map

Map whatreally happens.

Activities

What is actually done?

Decisions

Who decides, based on what?

Rules

Which are written, which are tacit?

Exceptions

How often does the path break?

Handoffs

Where does work wait between people?

Data

What does each step need to read?

Systems

Where does it live today?

Knowledge

What does the expert know that the manual doesn't?

Effort

How many hours, by whom?

Risk

What happens if it goes wrong?

03 Classify

Then decide,activity by activity.

Automate

Predictable, rule-bound, high volume: let it run.

Augment

AI prepares, a person decides.

Keep human

Judgment, accountability or the relationship is the value.

Eliminate

The step only existed because of an old limitation.

Redesign

The flow itself is the problem: rebuild it around the outcome.

04 Your diagnostic

Start with your own work,not with a tool.

The AI Transformation Blueprint is a guided conversation with an Onni Builder agent. It maps activities, decisions, systems and exceptions, and points out where AI should automate, augment or redesign.

Run the AI diagnostic

05 How Onni puts this into production

Builder discovers.Atlas preserves.

Builder

Redesign processes. Build capabilities. Execute dynamically.

Discovers the AS-IS, finds the bottlenecks and redesigns the TARGET.

See Builder

Atlas

Preserve architecture. Connect knowledge. Govern continuously.

Keeps the discovered model as a living asset: processes, decisions and rules stay mapped as they change.

See Atlas
Onni Builder: management of AI initiatives by process

Your AI isn't your LLM.

  1. It's your knowledge.
  2. Your processes.
  3. Your rules.
  4. Your data.
  5. Your capabilities.
  6. Your agents.
  7. Your decisions.
  8. Your architecture.
  9. It's your enterprise intelligence.

Onni· Your AI

Find where AIpays off first.

Bring a process. We map the real work and classify every activity.

Talk to Onni

Let's talk about your AI.

Tell us who you are and where you want to start. We reply within one business day.