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Making AI technology our client’s technology, the right way.
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Facts about AI
Almost every day, there is a new AI tool, AI chip, AI framework, AI Considerations or Large Language Model announcements.
The pace of change is daunting and confusing. Let us partner with you to navigate the evolving landscape of AI ensuring you harness the full potential.
It’s not hype! Below you will find insights from Gartner, The World Economic Forum and Forrester.
- Gartner
- WEF
- Forrester
According to Gartner’s analysis, the top strategic technology trends for 2025 include:
AI-Driven Decision Making
Gartner expects “Agentic AI” to emerge within the next 2-3 years, with capabilities that go beyond summarizing information to actually taking actions on behalf of users (Ref 1). These AI agents will be able to choose optimal options for users if given permission.
AI Governance Platforms
Tools and platforms are being developed to build trust, transparency and ethics into AI models (Ref 2). This will enable features like explainability of AI-generated outputs and prevention of harmful results.
Disinformation Defense
As generative AI enables more convincing synthetic media, tools to detect deepfakes and track the spread of disinformation will become crucial for organizations
World Economic ForumFuture Focus 2025
In response to the growing backlash against
harmful applications of AI systems, industries,
governments, academics and civil society
representatives have created numerous resources
to encourage the responsible development
and use of AI across sectors and geographies.
While the long-term impact of AI – especially
on marginalized groups – is yet unknown,
engagement in design and policy development
is largely absent in communities most directly
affected by automation and other AI applications.
A new blueprint for conceptual design,
programmatic development and governance of AI
is needed to include diverse perspectives at the
table and mitigate risk of harm in deployment.
Forrester’s Predictions for 2025
Forrester Research analyst Jeff Pollard said Forrester’s 2025 technology predictions will demonstrate what businesses should prepare for in the coming year. Pollard spoke during the Forrester Technology and Innovation Summit in Austin, Texas.
“Every prediction we make is something that we expect to happen within the next 12 months,” Pollard said.
1. Challenges with agentic AI
One of the top themes at the Forrester summit centered on the rise of agentic AI, or multiple AI agents that act autonomously on business goals and actions within workflows.
CIOs and other business leaders will be excited to build agentic AI architectures within business workflows, Forrester analyst Rowan Curran said. However, an estimated 75% of businesses attempting to build out their own agentic AI will fail, he said.
The idea of multi-agent architectures and multi-ecosystem agent architectures — where an AWS agent talks to a Microsoft agent and then to a Salesforce agent, for example — “is not what we see as being a feasible thing in the short term,” Curran said, due to the current lack of testing and validating capabilities for such architectures across the enterprise.
2. Increases in private cloud investments.
Business leaders will increasingly spend on private cloud to address regulatory compliance issues, Forrester analyst Tracy Woo said. Four out of five cloud leaders will increase their investment in private cloud by 20%, she noted.
Woo said more countries, especially in the European Union, are introducing digital sovereignty measures, which protect an individual state or country’s ability to control data. To meet those compliance requirements, business leaders will start turning to private cloud and keeping their data localized.
“We will start to see an increase in the amount of workload placement on premises,” she said.
3. CISOs will move away from generative AI.
Despite excitement about generative AI tools, CISOs will deprioritize use of the technology by 10% in 2025, Forrester analyst Allie Mellen said.
Generative AI has not lived up to vendor promises that it can automate security tasks, Mellen said. She said it takes more time for security teams to use generative AI than not, noting that it takes around 40 hours of training for security teams to start using generative AI tools. Additionally, as CISOs face budget constraints, it will make it difficult for them to invest in a technology without concrete examples of the technology’s effectiveness in security.
Generative AI isn’t fixing the security problems that matter, Mellen said.
“They need the really critical problems solved, and we’re just not doing that with generative AI right now,” she said.
4. Technology risk heightens.
Roughly 60% of organizations will identify technology risk as their most important strategic enterprise risk, Forrester analyst Christopher Gilchrist said.
Technology is changing the landscape of how businesses create value and enhance business models, becoming a more strategic risk factor for organizations, he said. Technology will be part of the equation for any future business considerations, and if the internal risks it poses are not taken into account, it will affect an organization’s ability to push through other, external risks, Gilchrist said.
“Not since the financial crisis have we seen a concentration, and growth, of a single risk factor more than this technology risk,” he said.
Proven Use Cases
Below are three flagship solutions that brought immediate business value to our clients leveraging the power of AI and impacting how they do business today.
- Case Study 1
- Case Study 2
- Case Study 3
Integrated LLM-Powered Enterprise Search
The Company
A leading SAAS company in the Commercial Real Estate Management Industry
The Opportunity
Initially, the company faced the challenge of manual tracking of tasks, which consequently led to a low usage rate among field workers. Furthermore, this manual approach resulted in prolonged mean times per task due to user adoption issues.
The Solution
To address these challenges, the company proposed a comprehensive solution. Firstly, it aimed to implement User Query Understanding, which would enable the recognition and processing of user queries in natural language, thereby delivering highly relevant search results.
Secondly, the solution would incorporate Hyperlinked Results, returning search results with hyperlinked references that would guide users directly to specific LEONARDO247 features or information they are seeking.
Thirdly, it would offer Contextual Assistance, providing contextual understanding and guiding users to the desired location on the platform.
Additionally, the solution would feature Personalized Search Experience, adapting to individual user preferences and behaviors to ensure relevance in search results.
Moreover, the company planned to implement Search Analytics, collecting and analyzing aggregated search data to gain insights into user behavior, thus enhancing the platform’s continuous improvement process.
Finally, the Enhanced Search and Analytics Interface would support Multilanguage Interface Support, being available in multiple languages based on user configuration parameters.
Property Operations – PMS Platform
The Company
A well known property management organization
Client Use Cases
- Custom Tasks & Workflows: This module offers daily guidance customized to each property’s unique profile, ensuring teams perform efficiently regardless of their experience level.
- Inspections: Facilitates various inspections, such as risk management, equipment performance reviews, and resident move-in/move-out inspections, with custom forms.
- Code Compliance: Uses a patented machine learning algorithm to source and catalog federal, state, and city municipal codes governing real estate operations, ensuring properties remain compliant.
- Document Management: Provides a centralized system for data storage, easy access, and unlimited storage. It also helps identify missing documents and track contract expiration dates.
- Work Orders: Streamlines the work order process with a mobile application, allowing teams to manage their work orders efficiently on the go.
- Messenger: Offers both desktop and mobile versions for seamless communication between devices, facilitating team communication and customer support alerts.
- On-Demand Instructions: Allows storage of documents, images, videos, and links for easy access. Users can create/update policies and track access for compliance.
- Dashboards & Reporting: Provides real-time visibility into property performance with custom dashboards and reporting.
The Results of our work
- Provide a comprehensive, intelligent task assignment, update, and tracking platform. AI is used to identify trends, risks, anomalies, and best practices lowering cost and improving worker productivity and safety.
- AI will predict when values will increase, or decrease, based on building characteristics and trends. It will also predict future costs to identify when an owner should potentially buy or sell.
- Being able to identify activities that will reduce long term cost and risks is a key component.
LLM-Powered Self-Service Analytics
The Company
A leading SAAS company in the Commercial Real Estate Management Industry
The Opportunity
- Large Data Lake with complex mapping. Hard to find what you are looking for
The Solution
- Natural Language Data Queries: Decode user’s natural language requests and translate them into specific data visualizations or insights relevant to LEONARDO247’s property management insights.
Enterprise-Grade Low-Code Framework Integration for Advanced Visualization: Integrate an enterprise-grade low-code framework to render advanced visualizations with a high level of detail and customization. This will allow for intricate data representations that can be easily adjusted and modified based on user needs.
Visualization Explanations: Offer human-readable explanations of generated visualizations, detailing their significance and relevance in terms of property management insights.
Responsive Feedback: Provide real-time suggestions or prompts based on user input, aiding them in refining their queries or understanding the platform better.
●Visualization Gallery: An organized display of the most common or requested visualizations to offer users quick insights without the need for explicit querying.
Report Engine for Comprehensive Data Interaction: Introduce a feature that allows users to save, share, and export their data insights, including functionalities like saving reports for future reference, sharing insights with colleagues via links or PDFs, and exporting reports for external use
Certifications
Bringing AI to the Underserved
At adaptAI, we are driven by a profound passion for empowering mid-sized businesses to harness the transformative potential of artificial intelligence (AI). Our mission is to be your trusted partner, guiding you through the intricate process of navigating the AI landscape. Consequently, we will assist you in identifying and implementing intelligent solutions that drive efficiency, foster innovation, and cultivate sustainable growth.
Our team is backed by seasoned IT veterans and thought leaders who possess a deep understanding of the unique challenges and opportunities that businesses encounter in today’s rapidly evolving AI landscape.
That’s why we offer tailored services and solutions that are designed to meet your specific needs and align with your business goals.
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