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WHERE AI IS GOING

From answers
to work.

An agentic system coordinates multiple AI agents alongside people to complete a process.

AI chat
01 · AI CHATProvides an answer
answer
Microsoft Copilot
02 · COPILOTUses work context
context
03 · AI AGENTCompletes multi-step tasks
outcome
04 · AGENTIC SYSTEMCoordinates agents and people
process
THE EVOLUTION

From chat
to agents.

GPTGPT
01 · GENERAL CHATBOTBroad knowledge, but no company know-how.
→
+
02 · CONNECTED CHATBOTAnswers using company data and files.
→
++
03 · AI AGENTUses connected tools to complete real work, step by step.
A PRACTICAL EXAMPLE

How an agent works.

GOALFind every document about Project Aurora and create a complete pre-call briefing as a PDF.
→
AI AGENTPlans the work and proceeds step by step
AI MODEL
GPTGPT
CONTEXT
Project files
CONNECTED TOOLS
Knowledge baseOutlookOutlookOneDriveOneDriveSAPSAP
→
PDF
OUTPUT
→
CHECKDoes it meet the required standard?
YES→
GOAL REACHEDDelivers it to you for review
OUTPUT QUALITY=PROMPT × MODEL × KNOWLEDGE
REPEAT UNTIL THE RESULT MEETS THE REQUIRED STANDARD
IT IS MORE THAN THE MODEL

What makes an agent good.

GPTINTELLIGENCE

AI MODEL

GPT · Claude · Gemini

+
CONTEXT

PROMPT + FILES AND TOOLS CONNECTED

+
KNOWLEDGE

COMPANY KNOW-HOW

Learnings, principles and methods that improve output quality.

=✓QUALITY WORK
WHAT YOU ALREADY HAVE IN-HOUSE
CHAT-BASED ASSISTANT WITH AGENTIC FEATURES
Microsoft CopilotMicrosoft Copilot

Works inside Microsoft 365.

CLOUD CODING AGENT
Abacus.AI

Builds apps, websites and complex outputs.

THE NEXT LEVEL

Agentic OS.

Coordinate people and AI agents to work side by side.
People won’t have to learn the software.The software will learn how people work.
THE VALUE GAP

Many companies are experimenting.
Very few are creating value.

44%
are scaling AI across the enterpriseAdoption is moving beyond pilots.
BUT
6%
turn AI into business valueAI high performers: at least 5% of EBIT attributed to AI
Scaling agentic systems is complex.Value starts with two foundations.
McKinsey
& Company
The State of AI 2026 · On the Road to ROI1,719 respondents · 97 countries · August 25, 2026
↗
A STRONGER STRATEGY

Two foundations of an
AI-ready company.

01TRAINED PEOPLE
Professional learning to work with artificial intelligence

People who understand their work and know how to use AI effectively.

+
02CAPTURE KNOWLEDGE
→
WHAT WE KNOWHOW WE WORK

Capture people’s expertise and turn it into digital knowledge AI can use.

=
AI-READY
COMPANY
THE REAL COMPETITIVE ADVANTAGE
Everyone will have access
to new models.
Only companies that codify their knowledge will truly benefit from them.
AI model
EXTREMELY INTELLIGENT
BUT
ZERO COMPANY EXPERTISE
=
It cannot consistently produce quality outcomes.
ONE REUSABLE ASSET

With knowledge,
every system gets better.

ChatbotCHATBOT
CopilotCOPILOT
AI AGENT
AGENTIC OS
COMPANY KNOWLEDGE BASEWhat we know · How we work
WELL-STRUCTURED KNOWLEDGE BASEOWNERSHIP · CATEGORIES · PRIORITIES · VERSIONING
KNOWLEDGE × ITERATIONDON’T JUDGE AN AGENT BY ITS FIRST TRY.
MOST PEOPLE STOP HEREMissing knowledgeADD KNOWLEDGEREFINE INSTRUCTIONSSAVE FEEDBACKFIRST TRYRELIABLE WORKOUTPUT QUALITYITERATIONS →
THE WORKSHOP JOURNEY

First, improve how we work with AI.
Then, put it into practice.

TODAYTwo people work together with the support of artificial intelligence
Human Tech SynergyGoal, context, dialogue and verification.
→
TOMORROWA professional interacts with a chatbot through a prompt
Tools & KnowledgeHow to capture and structure company knowledge, and use the right tools.

Method first. Then knowledge and tools.