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AI Trends 2026 According to Deloitte: Agentic Workflows With Human Control

January 26, 2026
Tom
4 min read

Deloitte’s State of AI 2026 shows AI moving from pilots to execution. Agentic AI is rising fast, but the real differentiator is how organizations combine automation with human judgment—especially in shared inboxes.

AI Trends 2026 According to Deloitte: Agentic Workflows With Human Control

AI is moving from pilots to production

Deloitte’s State of AI 2026 confirms what many organizations are experiencing: AI experimentation is no longer the hard part. Scaling AI into everyday operations is.

The data shows that AI already delivers value where efficiency is concerned. Most organizations report tangible gains in productivity and cost reduction. However, benefits that matter most for long-term growth like stronger customer relationships and revenue growth, remain largely aspirational.

This gap is especially visible in customer communication. Faster replies do not automatically create better relationships. Automation alone does not build trust.

Shared inboxes sit right at this fault line. They are operational by nature, but strategic in impact. That is why they are such a powerful entry point for turning AI pilots into real business value.

Chart: AI benefits achieved today vs hoped for

ReplyFabric is designed for this exact transition: using AI to deliver efficiency today, while deliberately protecting and improving the quality of customer relationships tomorrow.


Agentic AI is scaling fast—but autonomy is misunderstood

One of the most important trends in Deloitte’s report is the rapid rise of agentic AI.

Agentic AI does not mean “fully autonomous AI that replaces humans.” Deloitte defines agentic AI as systems that can reason through multi-step tasks, use tools and APIs, and take actions, often in coordination with humans.

According to the report, only 23% of organizations use agentic AI at scale today. Within the next two years, that figure is expected to rise to 74% when combining moderate, extensive, and fully integrated usage.

Chart: Adoption of agentic AI today vs in two years

This is not a prediction about reckless autonomy. It is a signal that AI is moving from insight to execution, operating inside workflows instead of sitting on the sidelines.


Why shared inbox management is inherently agentic

Shared inboxes are a natural fit for agentic AI because email work is inherently multi-step:

  • Incoming messages must be classified and prioritized
  • Ownership needs to be assigned
  • Context must be retrieved from past conversations or systems
  • Draft responses need to be created
  • Follow-ups, escalations, and logging must happen

These are actions, not suggestions. When AI performs this chain end-to-end, inbox management becomes fully agentic from an operational perspective.

ReplyFabric embraces this model. The system does not merely recommend what to do next. It orchestrates the workflow.


The human premium at the communication boundary

Where ReplyFabric makes a deliberate design choice is at the point of external communication.

Customer emails are moments of trust. Small details (tone, wording, timing, nuance) matter more than speed alone. A five-second human review can prevent subtle mistakes that automation cannot reliably judge.

That is why ReplyFabric keeps humans in the loop for sending messages to customers.

Internally, inbox operations can be highly agentic. Externally, humans remain accountable.

This approach aligns directly with Deloitte’s view that mature agentic systems require clear boundaries, human oversight, and governance, especially in customer-facing environments.


Governance enables scale instead of slowing it down

Deloitte is clear that governance is not a constraint on AI adoption. It is what allows agentic AI to scale safely.

Shared inboxes concentrate risk:

  • Legal commitments
  • Financial implications
  • HR and personal data
  • Brand reputation

ReplyFabric embeds governance directly into the workflow:

  • Explicit rules on what AI can do autonomously
  • Human checkpoints where judgment matters
  • Full traceability of actions and decisions
  • Controlled autonomy per mailbox or intent

This allows teams to move faster with confidence, instead of slowing down because of risk.


From efficiency to customer value

Deloitte’s data shows that efficiency gains are already here. What remains difficult is translating those gains into better customer relationships and sustainable revenue.

That translation does not happen by removing humans. It happens by placing humans where they add the most value.

Agentic AI handles the work. Humans handle the relationship.

That is the model behind ReplyFabric. That's why shared inboxes are becoming one of the most practical frontiers for enterprise AI.


📥 Download the full Deloitte report: State of AI in the Enterprise 2026

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Tom Vanderbauwhede - Founder & CEO of ReplyFabric

About the Author

Tom Vanderbauwhede is the founder & CEO of ReplyFabric, lecturer in AI at KdG University, and a seasoned entrepreneur with 25+ years of business experience. He holds master's degrees in Applied Economics, Business Administration (MBA), and Strategic Change Management & Leadership. Tom is passionate about building AI tools that reduce email overload and help teams focus on what matters.

Connect with Tom on LinkedIn and follow his journey as a founder.