AI-ready data becomes business critical

Right People, Right Data and Right Methods.

The big lesson from 2025 is simple: AI advantage comes from rebuilding operations for an AInative world and not from layering new tools on top of the past.
At Twoday, we’ve long said that successful AI projects require Right People, Right Data and Right Methods. That journey continues in 2026, supported by our AI Strategy Program, Project Scoper and Service Blueprinting methodologies.

This year, AI will shift from “a feature” to “a basic operating condition.” Enterprises will harden governance, deploy agentic AI into real workflows, tighten budgets under CFO scrutiny and invest in the data foundations and skills needed to scale value. Across all analyst houses, the themes are consistent: more agents, stronger governance and clearer ROI expectations.

We see, that our customers have started the journey:

Here are the 10 predictions shaping enterprise AI in 2026 and the ways Twoday enables organizations to stay ahead.

1) Agentic AI moves from pilots to production

By the end of 2025, most companies were experimenting with AI agents. McKinsey reports 62% in pilot mode, but less than 10% had scaled them in any function. Early adoption has centered on customer support, IT service desks and knowledge management.

In 2026, the shift accelerates.
Organizations will deploy agents into repeatable, lower‑risk processes such as service requests, research and triage. Places where unit economics and control frameworks are clear.

• Gartner expects agentic AI to reshape enterprise apps through 2026–2028, challenging traditional productivity tools.
• KPMG data shows a surge in pilots during 2025, but only ~11–12% in real production. A classic "pilot purgatory" that ready organizations will finally escape.

Twoday’s AI Strategy Program is built to take customers from ideas to measurable business value and productized AI services.

2) AI governance becomes mandatory

Governance stops being optional in 2026.

• Gartner predicts AI proficiency tests in hiring and “AI‑free” assessments for critical thinking tasks.
• Forrester expects 60% of Fortune 100 companies to appoint a Head of AI Governance.
• EY reports that while 97% of leaders see ROI from AI, governance gaps remain one of the biggest barriers.

Twoday’s deep experience in data and AI governance helps organizations design and implement modern governance models that meet business and regulatory expectations.

3) CFOs tighten the screws: A correction, not a collapse

Budget pressure is coming. But not a drop in AI ambition.

• Forrester forecasts that 25% of planned AI spend will be deferred to 2027, as finance teams demand harder ROI proof.
• Deloitte notes a shift from “art of the possible” to ROI‑tracked, operational AI.

Spending will continue, but with a more disciplined and value‑driven approach.

4) True business process reinvention is difficult: Only 10–15% will see enterprise-level impact

Accenture finds that only 13% of executives report enterprise-wide impact from GenAI so far. High performers share a pattern: they operate across five imperatives: value-led strategy, secure digital core, talent reinvention, responsible AI and continuous innovation.

McKinsey reports similar trends: while nearly 90% of firms use AI somewhere, only ~39% see EBIT impact.

The winners redesign workflows instead of bolting AI onto old ones.

Twoday’s Project Scoper and Service Blueprinting methods help customers identify business process bottlenecks and redesign processes for an AI‑native operating model.

5) Data modernization becomes essential

Across EY and Accenture research, the strongest predictor of AI success is data readiness. Organizations with strong data strategies are about 3 times more likely to deliver meaningful impact.

IDC expects AI platform investment to dominate a market heading toward $632B by 2028, but warns that value depends on trusted data and effective human‑machine collaboration.

Twoday is the leading Nordic partner for all the major data platform technologies: Databricks, Snowflake and Microsoft Fabric. And we have proven best practice frameworks for building well‑governed modern data platforms for the age of AI.

6) Sovereign and industry‑specific AI platforms grow

Gartner forecasts rapid growth in sovereign, regional and domain‑specific AI platforms from 2026–2027 especially as the EU AI Act pushes organizations toward compliance‑ready architectures.

Forrester also sees “neoclouds”- GPU‑specialist and sovereign providers - eating into hyperscaler dominance.

To meet the customer needs Twoday’s own AI Agent product can run in highly secure or closed environments, with model portability and MCP‑style interoperability built in. Additionally, we have been investing on the industry clouds to support growing demand from our global industry customers.

7) Talent shifts from model building to workflow engineering

AI proficiency will become a hiring baseline.

• Gartner expects companies to implement AI‑free tests to protect critical thinking.
• Deloitte highlights the rise of AI‑native organization design and skills for agentic and physical AI.
• Accenture’s experience shows revenue momentum correlates with large-scale upskilling.

Twoday is investing heavily on the AI program for skilling own people, helping customers to re-skill their workforce and building AI capabilities on all the own services.

8) Boards and investors demand transparency

Investors are pushing harder for visibility into AI strategy and value.

• PwC shows only 37% of investors feel companies disclose enough about AI investments and returns despite reporting productivity gains in portfolios.
• KPMG reports that boards are writing responsible AI policies but still lack GenAI expertise and measurement frameworks.

Twoday can help organizations to measure the value of AI and build AI Value & Risk dashboards, showing metrics like productivity impact, cost to serve, revenue uplift, bias, security and reliability.

9) AI spend still grows, but with a “prove it” mindset

The market will continue to expand.

• IDC sees nearly 30% CAGR for AI to 2028, with GenAI growing even faster at ~59%.
• PwC expects long-term macroeconomic gains under high-trust scenarios.

2026 will not be a slowdown. It will be growth with accountability.

10) Security, OT and physical AI move up the agenda

Physical AI and robotics are expanding beyond factories.

• Deloitte highlights that IT/OT convergence increases attack surface and risk.
• Forrester and industry analysts warn of rising AI-driven cyber threats and OT-specific vulnerabilities.

Twoday supports organizations with AI security services: Secure architecture, Data and AI Governance, Responsible AI principles and robust enterprise level cyber security practices.

What winning enterprises will do in 2026: Right Data, Right People, Right Methods

• Lead with value: Focus on 6–8 high-volume workflows with clear P&L impact. Measure baselines before automation.
• Build a secure data foundation: Clear strategy, modern and secure architecture, quality controls and well-defined operating model. Invest in data products and clear data ownership.
• Operationalize governance: Appoint a Head of AI Governance, plan to standardize TRiSM controls and prepare for AI Act compliance.
• Design human + agent workflows: Redraw business processes, define agent roles and include AI‑free checkpoints for critical tasks.
• Scale skills and change: Invest in workforce programs at the same pace as platforms. Focus on measuring the behavior and adoption.