Latest news with #VallHerard
Forbes
4 days ago
- Business
- Forbes
Which AI Strategy Do You Pursue: Build, Buy Or Hybrid?
Vall Herard is the CEO of Saifr, offering powerful safeguards against compliance risks. Since ChatGPT's explosive debut in 2022, nearly every business touts an 'AI-powered' product. But for some, the buzz around AI feels more like vaporware. 'AI washing' is now a thing—firms overhyping their actual AI capabilities. For those looking to truly dive into AI, the race to deploy real, effective AI-powered tools is on. However, fastest doesn't always mean best. Taking time to weigh your AI options can help ensure your implementation goes beyond buzz and addresses real business problems. Understand Your Options Before Choosing An AI Path Here are some considerations as you weigh the trade-offs between building in house, buying off-the-shelf solutions or leveraging a mix of the two. Building an AI solution from scratch may seem appealing because you can control, customize and own it end to end. In-house development ensures the solution addresses your specific business problems. If your use case is unique or the solution is a core differentiator, building may be worth it—especially if you have the required resources, including technical capacity and AI expertise. Building in house may also be ideal if your data is proprietary or sensitive. A bespoke system allows you to meet compliance requirements and secure your solution to industry standards. However, barriers exist. Because you're starting from scratch, upfront costs may be prohibitive—especially for smaller organizations. There's also a time factor: developing an in-house AI project can take considerable effort before you see results. Another option is to purchase a commercial solution. These solutions can deliver functionality much faster than custom builds and often come with lower upfront costs and proven performance. Buying may be your best bet if your use case is standard across the industry. A market-ready solution could meet your needs and allow for quicker implementation—even if initial integration requires effort. For teams with limited AI expertise, buying off-the-shelf solutions allow access to sophisticated tools without having the expense and time commitment required to build them in house. However, there are some drawbacks: • Limiting customization to preset features • Navigating integration challenges with existing systems • Meeting industry-specific compliance requirements • Differentiating your offering from competitors using the same tool For many organizations, a hybrid of build and buy can be the most effective path. Hybrid approaches combine niche expertise with domain-specific data to accelerate innovation while preserving flexibility. This approach allows companies to achieve the following: • Preserve control over sensitive or customized components • Integrate external AI capabilities and large datasets • Protect ownership of proprietary features • Accelerate implementation through strategic partnerships This blend allows organizations to innovate quickly without compromising control or compliance. Use A Clear Framework To Guide Your Decision When selecting an AI strategy, it's essential to evaluate your business context. To determine which AI strategy best fits your needs, evaluate the following factors: • Identify the business problem you aim to solve. Is it a unique use case? • Estimate your available budget and how soon you need ROI. • Establish when your AI solution needs to be fully operational. • Assess whether your organization has the internal expertise and data to support development and deployment. Depending on your findings, you may choose to build, buy or adopt a hybrid approach. AI offers the potential for competitive advantage—but only for organizations that move past AI washing and start implementing with intent. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
19-05-2025
- Business
- Yahoo
Saifr® Collaborates with Microsoft to Deploy AI Agent to Streamline Compliant Content Creation
Saifr models available via Microsoft Azure AI Foundry will power compliance AI agent at scale on Azure BOSTON, May 19, 2025 /PRNewswire/ -- Saifr®, a leading AI technology company incubated within Fidelity Labs, today announced an expansion of its integration with Microsoft bringing a Saifr compliance AI agent to Microsoft Azure AI Foundry. This marks the next step in Saifr's mission to meet clients where they work, after Saifr AI models were added to the Microsoft Azure AI Foundry model catalog last year. Now Microsoft customers can benefit from advanced compliance solutions for regulated industries, starting with financial services. At Microsoft Build 2025, Saifr introduced its Communication Compliance Agent which creates a seamless user experience for clients in the financial industry. The agent can be deployed on human- or LLM-generated content, paving the way for easier generative AI adoption within the industry by providing more guardrails for content creation while allowing humans to remain in the loop where they provide the most value. The Saifr agent identifies potentially noncompliant text and suggests more compliant, fair, and balanced version, helping end users adhere to relevant communications guidelines and rules from US regulators. "The Saifr agent puts humans at the center, equipping them with a simple way to create communications that are more compliant," said Vall Herard, CEO of Saifr. "Saifr turns regulation into code users can run in their daily productivity tools, bringing efficiency at scale. With this integration, an enterprise can easily deploy Saifr's compliance capabilities to thousands of users." Azure customers can integrate Saifr directly into their Azure instances or content generation tools, including any Microsoft 365 E5 products. For example, the Saifr Communication Compliance Agent can be deployed in financially focused chatbots and LLM financial retrieval-augmented generation (RAG) processes. Additionally, as part of this partnership, Saifr will open source the agent template as an industry standard. "Regulated industries, such as financial services, face unique challenges that advanced technologies can help address," said Yina Arenas, Vice President of Product – Azure AI Foundry at Microsoft. "Our collaboration with Saifr provides specialized regulatory insights via AI capabilities that promote innovation across the industry and can deliver significant efficiency gains to clients." With the Saifr Communication Compliance Agent, Microsoft customers can create content faster, improve efficiency, and reduce friction by leveraging Saifr's AI to help manage their compliance with financial industry communication regulations. About Saifr Saifr redefines how compliance operates with advanced AI technology, the right data, and deep industry expertise. Built within Fidelity Investments' innovation incubator, Fidelity Labs, Saifr harnesses the power of AI agents to help address the limitations and inefficiencies within traditional compliance frameworks, helping safeguard organizations from regulatory and reputational risks. Saifr helps clients save time, reduce costs, and improve accuracy while protecting their firms. Our AI-powered risk prevention and management solutions include capabilities for marketing compliance review, adverse media monitoring, and electronic communications surveillance. Learn more at About Fidelity Labs Fidelity Labs is Fidelity Investments' in-house software business incubator. Founded in 2005, Fidelity Labs has played a critical role in driving growth and innovation for the firm. The Fidelity Labs organization has a portfolio of internal capabilities and commercial businesses and is actively exploring concepts for future Fidelity businesses to enter new markets and better serve our customers. Learn more at Saifr's products and services are not intended to replace the user's legal, compliance, business, or other functions, or to satisfy any legal or regulatory obligations. All compliance responsibilities remain solely those of the user and certain communications may require review and approval by properly licensed individuals.1203651.1.0 Media ContactPANBlast for SaifrEmylee Eylereeyler@ View original content to download multimedia: SOURCE Saifr Sign in to access your portfolio
