Read our AI Readiness report for Thai businesses
chaethPrivate AI
Why AI matters now

Scale intelligence across your entire enterprise

Understand how leaders translate AI vision into organisation-wide gains—and how Chaeth keeps velocity and governance aligned.

Map high-impact workflows across every business function

Deploy trusted assistants that accelerate whole teams

Keep control of data while expanding AI capacity

Global AI adoption signals

Benchmarks that show why forward-looking enterprises are investing now.

74%

Thai firms planning AI adoption this year—even as only 18 percent have deployed it in production.

PwC Thailand

$4.4T

Global productivity McKinsey expects AI to unlock by 2030 for organisations that scale it deliberately.

McKinsey

60%+

Potential productivity gain from agentic AI according to McKinsey's enterprise studies.

McKinsey

25%

Share of GenAI adopters deploying AI agents in 2025, doubling to 50 percent by 2027.

Deloitte

58.5%

Knowledge workers reporting higher output with AI-enabled workflows.

PwC

69%

Developers who learn faster with AI support, accelerating product delivery.

Stack Overflow
Starting point

Investment is accelerating faster than execution

Organisations everywhere are funding AI platforms, yet many teams still struggle to convert ambition into measurable outcomes.

Bridging the gap means sequencing adoption so every function sees impact—not just a proof of concept in a lab.

Talent and governance remain top blockers

Execution pace determines competitive advantage

Delay widens the productivity divide

Organizations are reallocating resources to focus on value creation and scaling AI across the enterprise.
McKinsey, The State of AI
McKinsey
Chaeth insight

Build an adoption roadmap that sequences wins across business units while aligning risk, security, and change management.

Enterprise value

AI compounds growth when you own the operating model

Agentic workflows reclaim hours, while custom assistants augment sales, operations, and engineering teams in parallel.

Owning the full stack ensures reliability, compliance, and continuous improvement as models advance.

Automate repetitive tasks and redeploy talent

Deliver faster customer and employee experiences

Blend automation with human oversight for scale

Impact: more than 60 percent potential productivity gain and expected savings of more than three million dollars annually.
McKinsey, Agentic AI Advantage
McKinsey
Chaeth insight

Design operating models where AI becomes a core service layer supporting every team, not a side experiment.

Teams

High-performing teams co-create with AI

Leaders invite teams to iterate on AI tooling, capturing improvements in responsiveness, analysis, and product cycles.

When adoption is inclusive, AI becomes the workflow fabric that accelerates outcomes for everyone.

Service operations resolve requests up to 70% faster

Finance teams turn insights around in minutes

Engineering sprints accelerate by more than 20%

AI adoption unlocks unfair advantages when teams co-create the workflows that scale.
Industry research
Industry reports
Chaeth insight

Stand up cross-functional squads that launch assistants, collect feedback, and roll improvements across the organisation.

Knowledge

Data and expertise compound when AI is embedded

AI accelerates how teams learn, document, and share knowledge—building proprietary insights that grow in value.

When knowledge moves from individuals into managed systems, onboarding, governance, and innovation all accelerate.

Developers report faster learning and delivery

Knowledge bases stay fresh through AI curation

Insights travel across teams without friction

Advances in AI will create as much value in the next five years as in the previous twenty-five.
McKinsey, Technology Trends Outlook
McKinsey
Chaeth insight

Invest in AI-enhanced knowledge systems so expertise compounds and remains under your control.

Build your enterprise AI program

Brief leadership, align on the opportunity, and launch an adoption journey that scales trusted AI across the organisation.

Made by a team of former
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