In 2026, artificial intelligence stopped being a talking point and started doing the work. The defining shift this year is the move from generative tools that answer questions to “agentic” systems that plan and complete multi-step tasks on their own – reconciling accounts, drafting reports, chasing exceptions and handing finished work back to a human for sign-off. For finance and advisory teams, this is the moment the technology moves from the innovation lab towards the payroll: doing real jobs, at scale, every day.

The global picture

The numbers behind the shift are hard to ignore. The global market for AI consulting services was worth roughly USD 11 billion in 2025 and is projected to reach around USD 94 billion by 2035, a compound annual growth rate above 24 per cent. Analysts estimate that agentic AI could unlock in the region of USD 3 trillion in corporate productivity, with early adopters reporting an average return of about 2.3 times their investment within roughly thirteen months. In audit and finance specifically, automated invoicing, forecasting and expense testing are accelerating close cycles by 30 to 50 per cent and freeing teams to spend more time on judgement and insight. Yet the same research reveals a striking gap between intention and reality. Almost every large company says it plans to put AI agents into production, but only about 11 per cent have actually done so. The obstacles are rarely the technology itself. They are data quality, governance and security. Only around one in five organisations has a mature governance model for autonomous agents, and regulation is catching up quickly: the EU AI Act is now enforceable and is shaping expectations well beyond Europe. The lesson from 2026 is that the winners are not those who deploy fastest, but those who deploy with control.
 

What it means for Azerbaijan

Azerbaijan has moved early and deliberately. In December 2025, the Strategy for the Development of the Digital Economy for 2026–2029, a programme built around 58 initiatives spanning digitalisation, artificial intelligence, the innovation ecosystem and cybersecurity was approved. It sits alongside a National AI Strategy for 2025–2028, making Azerbaijan the first country in the South Caucasus to institutionalise AI at the level of national policy. The strategy targets 250 new startups, digital-market access for 200 small and medium enterprises, and training for 40,000 citizens, as the country works to grow a digital economy that today accounts for about 2.8 per cent of non-oil GDP. For local businesses the direction of travel is now set at the top. Clients, regulators, lenders and international partners will increasingly expect AI-enabled ways of working, and the companies that prepare now will be the ones that keep pace.

What businesses should do now ?

The opportunity is real, but so is the readiness gap. Automating a month-end close, a forecasting cycle or a customer-service workflow only creates value if the underlying data is clean, the controls are clear, and someone remains accountable when an agent gets something wrong. Organisations that rush to deploy without that foundation tend to trade one set of problems for another: faster processes that nobody fully trusts, and new risks that surface only at audit time. The firms that succeed treat AI adoption as a change programme rather than a software purchase. They sequence it carefully: assess where AI can safely add value, get the data and controls right first,invest in training so staff work alongside the technology with confidence, and put in place a governance model that both management and auditors can stand behind. Done this way, AI stops being an experiment on the margins and becomes a dependable part of how the business runs. This is where the right advisory partner earns its place. BDO Azerbaijan helps organisations identify where AI can create value without creating exposure, build the governance and control framework around it, and turn isolated pilots into results that show up in the numbers.