If you have an internal initiative to "figure out what to do with AI," we’re here to help.
We specialize in helping businesses create and implement their AI strategy, combining enablement, strategy, and engineering.
This process is tailored to each company based on data quality, risk profile, and business goals.
Read below to see how we approach AI transformation and how we are already guiding large businesses on their journey.
We've studied and worked with countless business to understand the optimal way to integrate AI. Implementing AI tactically comes down to three components.
Building an AI strategy includes many components. At a high level, the goal is to align the current capabilities of generative AI to a business's profile and goals.
Match the current and future capabilities of AI to the goals of the business
Identify whether buying tools vs. integrating models makes the most sense
Establish best practices and guardrails to ensure you teams are using AI responsibly
Understand each job function and how AI can be integrated
Creating the business case for an initial investment in genAI tooling
Build clear KPIs to measure the effectiveness of AI integration
The most valuable move a business can make today? Equip your team with AI tools. They know their jobs inside out, and with AI, they’ll discover how to work smarter—whether as a research assistant, brainstorming partner, or for faster outreach. By letting them explore AI, you not only enhance their skills but also boost your business's efficiency. A true win-win.
We'v tested hundreds of tools. We can help pick the right ones for your industry, personas, data, and risk profile.
We've trained 20+ companies on the basics of AI. Let us give your teams the right intuition around working with AI.
Many internal processes will change as a result of AI. We clearly map out and document the changes and upskilling needed
Generative AI is still knew and many of the products of the future haven't been invented yet. Therefore, to get the most out of AI currently, businesses are integrating the AI models into their current processes and products
Integrate cutting edge models from OpenAI and Anthropic into products and internal workflows
Enable models to use your companies proprietary data to improve outputs securely
Rapidly create proof of concepts to get user feedback and test viability before investing heavily
AI is only useful if it solves real problems. See how Malleable is helping large business solve real problems.
Learn how we helped Sprinklr save up to 60% on research and outreach time with AI, making their sales team more efficient.
See how we helped Transwestern cut report time in half with AI, boosting efficiency and expanding their research capabilities.
See how we helped a top education platform expand their reach and capabilities by integrating AI into their products and services.
