Is agentic engineering another tech trend that sounds too good to be true? Chances are you’ve already come across the concept in some form, but if not, it’s about using AI not just to generate code, but to actively participate in building, refining and executing software tasks.
Instead of simply generating code or one-off outputs, AI agents can actively execute and manage multi-step workflows based on user intent. Users describe what they want to achieve, and the agents plan, carry out, and refine the work across systems and processes, often interacting with live business data along the way. What once took days or weeks can now happen in hours, with results that are actionable and continuously updated.
It’s here, then, that agentic engineering starts to feel relevant and exciting.
What is agentic engineering?
Agentic engineering is the practice of designing and orchestrating AI agents to carry out multi-step tasks and workflows. It goes beyond simply generating code or outputs: AI agents can plan, execute, and refine their own work under human supervision. The term was coined by Andrej Karpathy, who described it as the next step beyond vibe coding, emphasizing that “there is an art & science and expertise to it.”
Unlike vibe coding, which is prompt-driven and improvisational, agentic engineering is structured and goal-oriented. AI agents can:
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Break down complex tasks into manageable steps
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Work directly with live business data and systems
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Execute actions and workflows, not just produce outputs
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Continuously refine results based on feedback or changing conditions
In other words, while vibe coding focuses on quickly creating something workable, agentic engineering creates AI agents that actively participate in getting work done, with humans firmly in the loop.
How Microsoft is leading in agentic engineering
Microsoft is positioning AI as the default interface across its business applications, particularly through Copilot and AI agents. Work is shifting from prompt‑and‑reply interactions toward continuous, intelligent execution. AI agents don't just generate outputs; they actively work across business data and systems to carry out tasks and support operations.
Rather than focusing on one-off prompts, Microsoft’s approach centers on AI agents that understand intent, break down tasks and execute actions within existing workflows. A conversation may spark the work, but the agent continues it — validating steps, coordinating tools, and looping in humans where needed.
This shift is especially visible in Dynamics 365 Business Central, where built‑in and custom AI agents operate directly within finance, inventory, sales, and operational data. These agents interpret high‑level business goals written in natural language, make informed decisions, and execute actions, all while respecting permissions, logging every step, and collaborating with users when approvals are required.
For retail and hospitality businesses, this unlocks a new way of building and running processes. AI agents can now:
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Generate reports, documents, and data models using simple natural‑language descriptions
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Automate tasks and workflows tied to real‑time data, from sales orders to payables processing
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Build simple apps that support day-to-day operations without heavy development overhead
Together, these capabilities turn everyday business processes into intelligent, agent‑driven workflows that evolve with the organization.
How agentic engineering could be applied in retail and hospitality
Agentic engineering won’t replace core systems or development teams. Instead, it empowers teams closer to daily operations to solve problems and respond to change faster by letting AI agents actively manage tasks.
Examples include:
Dashboard and reporting tools
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Automatically generate performance dashboards for sales, operations, staffing, or service levels
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Update reports in real time and highlight key trends or anomalies
Inventory and supply assistance
Guest-facing bookings
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Enable AI agents to manage booking requests, confirmations, and availability
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Proactively suggest available slots or upgrades to guests based on preferences and occupancy trend
Internal automation and workflows
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Automate routine processes such as incident reporting, maintenance requests, and staff scheduling
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Replace manual spreadsheets and email-based processes with AI-driven workflows
For instance, a retail operations manager might say, “Show me today’s sales by store, highlight slow-moving items, and flag low stock.” An agentic system could generate the report, update it in real time, and suggest reordering actions. A hotel manager could assign rooms, track housekeeping tasks, and notify staff automatically.
Benefits of agentic engineering for executives
For retail and hospitality executives, agentic engineering offers speed, efficiency, and operational insight. AI agents can generate reports, manage workflows, and automate repetitive tasks, reducing the time and effort required to respond to business needs.
Other key benefits include the ability to:
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Innovate faster without the needing to hire external teams
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Reduce costs and risks when testing new business ideas or operational changes
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Improve alignment by automating cross-team workflows
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Adapt quickly to market changes and customer expectations
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Increase operational efficiency while enhancing guest and shopper experiences
What’s next with agentic engineering?
While Gartner notes that around 40 % of agentic AI projects may be canceled by 2027, this prediction highlights an important opportunity: early initiatives help organizations learn, refine, and optimize their approach. By experimenting with well-defined workflows, establishing strong governance, and aligning AI agents with clear business objectives, companies can pave the way for high-impact, scalable deployments.
Embracing agentic engineering now means gaining a head start in operational efficiency, faster decision-making, and improved guest and shopper experiences. The real advantage comes not from the AI agents alone, but from a business’s ability to orchestrate them strategically, continuously test and adapt, and turn early lessons into lasting value.
Want to find out how our software solutions can prepare your operations for agentic AI? Contact us.
