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TRANSFORMING
YOUR ENTERPRISES
WITH AGENTIC AI

BE AN
AI–NATIVE
COMPANY 

In this month’s edition of our newsletter:

• From
Generative AI
to autonomous
enterprises
• Below the
waterline: The
four layers of
an AI-native
company
• Predict,
Act, Optimize:
Transforming
Marketing
Measurement
with Agentic
AI

•
Agentic AI
transformation
in the Public
sector
• Artefact at
VivaTech 2026,
17-20 June

From
Generative AI to
Autonomous
Enterprises

Read Rahul Arya’s Interview

For the past
two years,
enterprise AI
discussions
have centered
on passive
copilots and
chatbots
designed to
assist humans.
Now, a major
shift is
underway
toward the “autonomous
enterprise,”
where AI
systems move
beyond
advising to
actively
making
decisions,
coordinating
workflows, and
executing
actions across
systems.

Enabled by the
convergence of
generative AI
and agentic
systems, this
autonomy is
already
transforming
multiple
industries.
Current
applications
range from
autonomously
conducting
retail market
analyses in
minutes to
dynamic travel
rebooking and
automated
claims
processing in
healthcare.

However, this
evolution
introduces a critical
leadership
challenge of
governance.
Traditional
models were
built for AI
that
recommends,
but autonomous
enterprises
require robust
frameworks for
AI that acts.
While
high-volume,
repetitive
tasks are
rapidly
automating,
strategic and
ethical
decisions
still firmly
require human
judgment.
Ultimately,
human
oversight must
evolve from
direct
execution to
supervisory
control,
ensuring a
careful
balance
between
machine
autonomy,
trust, and
accountability.

Agentic AI is moving fast,
from personal
shopping
assistants to
fully
integrated
enterprise
workflows. Are
your data,
processes, and
technology
ready for the
shift?

Below
the Waterline:
The Four Layers
of an AI-Native
Company

Read the Article

Mounting
platform,
cost, and
sovereignty
pressures are
forcing modern
CTOs to look
below the
waterline of
visible AI
tools to build
true agentic
organizations.

There are four
layers leaders
should know
about when
designing an
AI strategy:
1 –
Set a bold
North Star:
Aim for
massive
step-changes,
such as 30%
cost
reductions and
50% faster
processes.

2 – Lead
from the top:
Agentic AI is
a
cross-functional,
CEO-level
transformation
that must be
unified rather
than
fragmented by
department.

3 – Don’t
automate
broken
processes:
Completely
redesign
workflows
instead of
layering
agents onto
existing
bottlenecks.

4 – Target
the right use
cases: Prioritize
tasks with
multi-system
complexity,
repeated
coordination,
and
predictable
patterns.

5 – Solidify
foundations: Agentic
AI raises the
bar, requiring
clean data,
clear
definitions,
and aligned
systems as
strict
prerequisites.

Predict,
Act, Optimize: 
Transforming
Marketing
Measurement with
Agentic AI

Download the White Paper

Part
1: Mastering the
Golden Triangle of
Marketing
Measurement

Read the Article

Over 70%
of CMOs struggle
to dynamically
adjust their
marketing
budgets based
on actual
effectiveness.
A more unified
framework, the
“Golden
Triangle”
of
Marketing
Return on
Investment
(MROI),
has become the
gold standard.

This holistic
framework
combines Marketing
Mix Modeling
(MMM) for
strategic
budget
allocation, Incrementality
testing to
prove the
causal impact
of specific
tactics, and
advanced Attribution
to
map complex
customer
journeys.
Mastering
these three
core pillars
allows brands
to
successfully
balance
short-term
activation
with long-term
brand
building,
demonstrated
by real-world
successes from
industry
leaders like Accor
and Nike.

While
establishing
this
foundational
measurement is
critical,
traditional
maintenance
requires
immense manual
effort.
The second
article in our
series
will explore
how agentic AI
is
transforming
these
frameworks
into an autonomous,
always-on
measurement
ecosystem.

Part 2:
Agentic AI and
the Future of
Always-On
Measurement

Read the Article

Building on the “Golden Triangle”, this
article
explores the shift
from episodic
reporting
toward a
continuous,
always-on
infrastructure.
Historically,
immense manual
labor has been
the bottleneck
for
maintaining
these models,
but this is
rapidly
changing
thanks to the
open-source
revolution and
agentic AI.

While tools
like Google’s
Meridian have
democratized
advanced
measurement,
agentic AI
brings
unprecedented
autonomy. AI
agents now
automate
complex data
tasks by
seamlessly refreshing
Marketing Mix
Models for
bi-weekly
insights,
designing
rigorous
incrementality
tests in hours
rather than
weeks,
and providing
CMOs with model-backed
recommendations through natural language queries.

As the
industry moves
toward a
multi-agent
orchestration
ecosystem,
discover how
this
automation
does not
replace
analysts, but
concentrates
the value of genuine
human
expertise and
rigorous,
human-guided
strategy.

Agentic
AI
Transformation
in the Public
Sector

Download the White Paper

Part
1: The
five government
battles agentic
AI can help win

Faced with
$102 trillion
global public
debt and
rising citizen
expectations,
government
leaders must
move beyond
reactive
algorithms and
embrace
agentic AI,
whose
autonomous
systems can
act as
“digital
public
servants”
to execute
complex,
multi-step
workflows.

Agentic AI is
the force
needed to
secure
prosperity
across five
defining
battlegrounds:

1. Public
finance: Plugging
revenue leaks
and managing
debt with
autonomous tax
compliance
agents and
procurement
watchdogs.
2. Economic
development:
Attracting
global capital
and driving
inclusive
growth by
seamlessly
orchestrating
SME credit
underwriting
and matching
foreign direct
investment
opportunities.
3. Human
and social
development:
Uplifting
societies
through
proactive
healthcare
pathways,
personalized
learning
tutors, and
targeted
welfare
distribution.
4.
Infrastructure
and citizen
services:
Delivering
smart urban
governance
with digital
twins that
predictively
dispatch
maintenance
crews for
utilities and
roads.
5.
Judiciary,
safety and
security:
Upholding
justice and
protecting
borders
through court
docket
optimization
and dynamic
law
enforcement
patrol
allocation.

Winning these
five battles
is just the
beginning: to
successfully
scale agentic
AI, ensuring
adption is
just as
crucial.

Part
2: A
framework for
agentic AI
adoption in
government

Read the article

In order for
agentic AI to
safely deliver
public value,
governments
must invest
heavily in
data,
infrastructure,
and
human-centric
change
management.
Below is an
adoption
framework
outlining the
critical
imperatives
for
successfully
scaling
agentic AI:

• Identify
mission-critical use cases: Prioritize high impact workflows
with
manageable
risk,
utilizing an
impact/feasibility
matrix.

• Ensure
data and
workflow
readiness:
Digitize and
map end-to-end
manual
processes.
Implement
common data
standards and
federated
lakes.
• Launch
controlled
pilots:
Deploy
bounded,
90-day pilots.
Maintain
strict
human-in-the-loop
oversight to
refine systems
safely before
expanding.

• Industrialize
governance:
Establish
independent
ethics
committees,
conduct impact
assessments,
and align with
regulatory
frameworks
like the EU AI
Act.
•
Drive change
management:
Target
reskilling –
71% of public
employees feel
unprepared for
AI. Redesign
jobs into
hybrid roles
where civil
servants
supervise AI
agents rather
than perform
repetitive
tasks.

We are
thrilled to
announce our
participation
in VivaTech
for the 4th
year, the
premier
European event
for AI, Tech,
and Business
leaders. With
over 180,000
participants
expected from
174 countries,
this event is
the ultimate
hub for
innovation and
its concrete
enterprise
applications.

As this
edition
celebrates 10
years of
VivaTech,
Artefact
reaffirms its
position as a
leading
technology
partner and
European
leader
dedicated to
accelerating
the adoption
of Data &
AI.

Find
us at Booth 2H09,
Hall 7.2 | Paris
Expo, Porte de
Versailles

Book your pass here

Artefact is
a leading
global
consulting
company
dedicated to
accelerating
the adoption
of data and AI
to positively
impact people
and
organizations.
We specialize
in data
transformation
and data
marketing to
drive tangible
business
results across
the entire
enterprise
value chain.
Artefact
offers the
most
comprehensive
set of
data-driven
solutions per
industry,
built on deep
data science
and
cutting-edge
AI
technologies,
delivering
AI projects at
scale in all
industry
sectors.

27 Countries |
+1000 Clients
| +2500
Employees

DATA / AI
STRATEGY &
TRANSFORMATION
| DATA / AI
FOR CUSTOMER |
DATA / AI FOR
OPERATIONS |
DATA / AI FOR
SUPPORT
FUNCTIONS | IT
& AI
TECHNOLOGIES

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Copyright ©
2026 Artefact

TRANSFORMING
YOUR ENTERPRISES
WITH AGENTIC AI

BE AN
AI–NATIVE
COMPANY 

BE AN AI–NATIVE COMPANY

In this month’s edition of our newsletter:
• From Generative AI to autonomous enterprises
• Below the waterline: The four layers of an AI-native company
• Predict, Act, Optimize: Transforming Marketing Measurement with Agentic AI
• Agentic AI transformation in the Public sector
• Artefact at VivaTech 2026, 17-20 June

From
Generative AI to
Autonomous
Enterprises

From Generative AI to Autonomous Enterprises

For the past two years, enterprise AI discussions have centered on passive copilots and chatbots designed to assist humans. Now, a major shift is underway toward the “autonomous enterprise,” where AI systems move beyond advising to actively making decisions, coordinating workflows, and executing actions across systems.

Enabled by the convergence of generative AI and agentic systems, this autonomy is already transforming multiple industries. Current applications range from autonomously conducting retail market analyses in minutes to dynamic travel rebooking and automated claims processing in healthcare.

However, this evolution introduces a critical leadership challenge of governance. Traditional models were built for AI that recommends, but autonomous enterprises require robust frameworks for AI that acts. While high-volume, repetitive tasks are rapidly automating, strategic and ethical decisions still firmly require human judgment. Ultimately, human oversight must evolve from direct execution to supervisory control, ensuring a careful balance between machine autonomy, trust, and accountability.

Agentic AI is moving fast, from personal shopping assistants to fully integrated enterprise workflows. Are your data, processes, and technology ready for the shift?

Below
the Waterline:
The Four Layers
of an AI-Native
Company

Below the Waterline: The Four Layers of an AI-Native Company

Mounting platform, cost, and sovereignty pressures are forcing modern CTOs to look below the waterline of visible AI tools to build true agentic organizations.
There are four layers leaders should know about when designing an AI strategy:
1 – Set a bold North Star: Aim for massive step-changes, such as 30% cost reductions and 50% faster processes.
2 – Lead from the top: Agentic AI is a cross-functional, CEO-level transformation that must be unified rather than fragmented by department.
3 – Don’t automate broken processes: Completely redesign workflows instead of layering agents onto existing bottlenecks.
4 – Target the right use cases: Prioritize tasks with multi-system complexity, repeated coordination, and predictable patterns.
5 – Solidify foundations: Agentic AI raises the bar, requiring clean data, clear definitions, and aligned systems as strict prerequisites.

Predict,
Act, Optimize:  Transforming
Marketing
Measurement with
Agentic AI

Predict, Act, Optimize:

Transforming Marketing Measurement with Agentic AI

Part 1: Mastering the Golden Triangle of Marketing Measurement

Over 70% of CMOs struggle to dynamically adjust their marketing budgets based on actual effectiveness. A more unified framework, the “Golden Triangle” of Marketing Return on Investment (MROI), has become the gold standard.

This holistic framework combines Marketing Mix Modeling (MMM) for strategic budget allocation, Incrementality testing to prove the causal impact of specific tactics, and advanced Attribution to map complex customer journeys. Mastering these three core pillars allows brands to successfully balance short-term activation with long-term brand building, demonstrated by real-world successes from industry leaders like Accor and Nike.

While establishing this foundational measurement is critical, traditional maintenance requires immense manual effort. The second article in our series will explore how agentic AI is transforming these frameworks into an autonomous, always-on measurement ecosystem.

Part 2:
Agentic AI and
the Future of
Always-On
Measurement

Part 2: Agentic AI and the Future of Always-On Measurement

Building on the “Golden Triangle“, this article explores the shift from episodic reporting toward a continuous, always-on infrastructure. Historically, immense manual labor has been the bottleneck for maintaining these models, but this is rapidly changing thanks to the open-source revolution and agentic AI.

While tools like Google’s Meridian have democratized advanced measurement, agentic AI brings unprecedented autonomy. AI agents now automate complex data tasks by seamlessly refreshing Marketing Mix Models for bi-weekly insights, designing rigorous incrementality tests in hours rather than weeks, and providing CMOs with model-backed recommendations through natural language queries.

As the industry moves toward a multi-agent orchestration ecosystem, discover how this automation does not replace analysts, but concentrates the value of genuine human expertise and rigorous, human-guided strategy.

Agentic
AI
Transformation
in the Public
Sector

Agentic AI Transformation in the Public Sector

Part
1: The
five government
battles agentic
AI can help win

Part 1: The five government battles agentic AI can help win

Faced with $102 trillion global public debt and rising citizen expectations, government leaders must move beyond reactive algorithms and embrace agentic AI, whose autonomous systems can act as “digital public servants” to execute complex, multi-step workflows.

Agentic AI is the force needed to secure prosperity across five defining battlegrounds:

1. Public finance: Plugging revenue leaks and managing debt with autonomous tax compliance agents and procurement watchdogs.
2. Economic development: Attracting global capital and driving inclusive growth by seamlessly orchestrating SME credit underwriting and matching foreign direct investment opportunities.
3. Human and social development: Uplifting societies through proactive healthcare pathways, personalized learning tutors, and targeted welfare distribution.
4. Infrastructure and citizen services: Delivering smart urban governance with digital twins that predictively dispatch maintenance crews for utilities and roads.
5. Judiciary, safety and security: Upholding justice and protecting borders through court docket optimization and dynamic law enforcement patrol allocation.

Winning these five battles is just the beginning: to successfully scale agentic AI, ensuring adption is just as crucial.

Part
2: A
framework for
agentic AI
adoption in
government

Part 2: A framework for agentic AI adoption in government

In order for agentic AI to safely deliver public value, governments must invest heavily in data, infrastructure, and human-centric change management. Below is an adoption framework outlining the critical imperatives for successfully scaling agentic AI:

• Identify mission-critical use cases: Prioritize high impact workflows with manageable risk, utilizing an impact/feasibility matrix.
• Ensure data and workflow readiness: Digitize and map end-to-end manual processes. Implement common data standards and federated lakes.
• Launch controlled pilots: Deploy bounded, 90-day pilots. Maintain strict human-in-the-loop oversight to refine systems safely before expanding.
• Industrialize governance: Establish independent ethics committees, conduct impact assessments, and align with regulatory frameworks like the EU AI Act.
• Drive change management: Target reskilling – 71% of public employees feel unprepared for AI. Redesign jobs into hybrid roles where civil servants supervise AI agents rather than perform repetitive tasks.

We are thrilled to announce our participation in VivaTech for the 4th year, the premier European event for AI, Tech, and Business leaders. With over 180,000 participants expected from 174 countries, this event is the ultimate hub for innovation and its concrete enterprise applications.

As this edition celebrates 10 years of VivaTech, Artefact reaffirms its position as a leading technology partner and European leader dedicated to accelerating the adoption of Data & AI.

Find us at Booth 2H09, Hall 7.2 | Paris Expo, Porte de Versailles

DATA / AI STRATEGY & TRANSFORMATION | DATA / AI FOR CUSTOMER | DATA / AI FOR OPERATIONS | DATA / AI FOR SUPPORT FUNCTIONS | IT & AI TECHNOLOGIES