Fusemachines
132,969 followers
February 23, 2026
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Enterprise AI is increasingly becoming part of how organizations build, operate, and compete. As adoption matures, the focus is shifting toward applying AI across core business functions with greater precision, accountability, and speed. Leaders are looking beyond experimentation and toward practical ways to integrate AI into product development, operational workflows, and industry-specific decision making.
This February edition of Fuse News explores how enterprises are building AI products faster, strengthening year-round retail intelligence, and managing complex real estate pipelines without expanding headcount. From practical production insights to industry-focused frameworks, the goal is clear: translate AI capability into sustained operational impact across the business.
AI for Retail in 2026: Execution at Scale
Retail AI is no longer about isolated pilots or experimentation. It is about building capabilities that continuously inform pricing, demand planning, merchandising, and customer engagement. As volatility increases and margins tighten, retail leaders must operationalize AI across decision domains with clarity, governance, and accountability.
AI for Retail in 2026: Execution at Scale is a practical playbook designed to help executives move from fragmented initiatives to repeatable execution. It outlines how AI can support core retail functions while strengthening readiness across strategy, data, technology, people, and governance.
What’s Inside:
- AI applications across pricing, demand, inventory, customer intelligence, and merchandising
- What execution looks like in real retail workflows
- A Retail AI Readiness framework spanning strategy, data, technology, people, and governance
- Guidance on aligning AI initiatives with measurable business outcomes
- Practical steps for embedding AI into daily decision cycles
Equip your retail teams to move from experimentation to disciplined execution with AI systems built to scale.
AI Agent for Business
As enterprises extend AI deeper into operations, AI agents are evolving from productivity tools into coordinated systems that support planning, execution, and cross-functional workflows. The challenge is not deploying agents, but designing them to operate reliably within enterprise governance, infrastructure, and accountability models.
The AI Agent for Business eBook provides a structured approach to building agents that support business outcomes without introducing unnecessary complexity or risk.
What’s Inside:
- Core architectural principles behind enterprise-ready AI agents
- How agents transition from isolated assistants to integrated workflow systems
- Governance, monitoring, and escalation best practices
- Practical guidance for scaling agents across teams and departments
- Considerations for aligning agent autonomy with enterprise oversight
Build AI agents that strengthen execution, improve coordination, and operate within clear business guardrails.
Fuse Announcement
On February 17 at 12 PM EST, we hosted From Idea To Production: Building AI Products Fast Without Hiring A Huge Team.
The session focused on a question many AI leaders are facing today: why do so many AI initiatives stall between pilot and production?
During the discussion, Robert Traghetto and Jeffery Keilholtz explored:
- Why AI projects often stall due to coordination gaps rather than technical limits
- The shift from execution speed to orchestration speed in 2026
- How AI-native operating rhythms improve delivery consistency
- When strategic partnerships accelerate capability without replacing ownership
The conversation centered on practical operating models, structured review gates, and building repeatable systems for AI delivery at scale.
Watch the full webinar recording!
Fusemachines has announced a strategic partnership with IBM Platinum Partner ModulAIre to deliver enterprise AI solutions powered by Fusemachines AI Studio within IBM-based environments. The collaboration enables organizations to move from experimentation to production-ready AI systems that are scalable, secure, and aligned with enterprise governance standards.
By combining Fusemachines AI Studio with ModulAIre’s deep expertise across IBM technologies, the partnership will help enterprises accelerate automation, operational efficiency, and intelligent decision-making across core business functions.
Fusemachines Reseller Program
As AI adoption expands across industries, partners are looking for reliable, production-ready solutions to bring to their clients. The Fusemachines Reseller Program equips organizations with access to AI Studio and AI Engines, along with the strategic and technical enablement required to introduce scalable AI capabilities confidently.
The program helps partners strengthen their value proposition, extend their technology portfolio, and participate in a collaborative ecosystem focused on responsible, industry-aligned AI adoption. It is designed to support sustainable growth while meeting the evolving needs of enterprise customers.
Product Spotlight
Fusemachines has introduced its Interview AI Agent within AI Studio and announced that it is now assisting 100% of the company’s initial technical screening interviews. The milestone highlights how AI can augment human decision-making while improving consistency and efficiency in enterprise workflows.
The agent guides recruiters through structured technical questions, evaluates responses in real time, and generates standardized assessments to support faster, more consistent hiring decisions.
Building Year-Round Retail Intelligence from Seasonal Insights
Peak seasons reveal how pricing, demand, inventory, and customer behavior truly perform under pressure. While many retailers review results and move on, the strongest organizations convert those insights into systems that improve decisions throughout the year.
This blog outlines how seasonal learning can be embedded into forecasting, pricing, and planning processes to build continuous retail intelligence rather than one-time reporting.
Key Insights:
- Why peak periods generate higher-value decision signals
- The gap between post-season reporting and sustained intelligence
- How seasonal insights strengthen pricing and inventory decisions
- Building continuous learning loops across retail teams
Read the full blog here.
AI for High-Volume Real Estate Pipelines: Managing More Deals Without More Headcount
Real estate teams are managing increasing deal volume while expectations around speed and accuracy continue to rise. Much of the strain occurs before underwriting begins, where manual intake, screening, and prioritization slow decision cycles and pull senior talent into repetitive review tasks.
This blog explores how AI brings structure to early-stage workflows, helping firms prioritize higher-fit opportunities, improve consistency, and manage pipeline growth without expanding headcount.
Key Insights:
- Why early-stage intake, not underwriting, is often the real bottleneck
- How AI structures unstructured deal flow across emails and documents
- The operational value of consistent classification and prioritization
- Managing pipeline growth without increasing complexity or cost
Read the full blog here.
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AI Glossary
As organizations apply AI more broadly across product development, retail intelligence, and operational workflows, clarity around terminology becomes increasingly important. Shared language reduces friction, improves collaboration, and ensures AI-driven insights are interpreted consistently across teams.
The AI Glossary covers foundational and evolving concepts shaping enterprise AI today, including model governance, decision intelligence, agentic systems, and data readiness. It is designed to support teams as AI moves from experimentation into structured, production-ready deployment.
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