AI Implementation Consulting, From Strategy to Production

We begin by analyzing your business goals, current workflows, data capabilities and your appetite for implementing a change as big as what AI can offer. By identifying areas where AI can provide measurable benefits, such as automating manual tasks, delivering predictive insights, or enhancing customer experiences, we make sure every AI solution addresses your specific challenges and adds real value. You can start with our free AI Readiness Audit to get a scored assessment in under 10 minutes.

AI can address a variety of business challenges and unlock opportunities for growth through:

Generative AI solutions:

• Automate content creation for marketing and product descriptions.
• Enhance customer support with intelligent chatbots and document summarization.
• Improve search tools to deliver faster, more personalized results.
• Develop industry-specific solutions to tackle unique business needs.

Natural Language Processing (NLP):

• Gain insights with sentiment analysis of customer reviews and feedback.
• Analyze large datasets to identify trends and actionable insights.
• Streamline operations with AI-driven virtual assistants.

AI-driven workflows performed by Agents:

• Automate complex workflows and repetitive tasks for efficiency.
• Coordinate multi-step processes, such as pre-sales support, updating legacy code and data validation.
• Let agents absorb growing volume without adding headcount.

We work with a broad set of AI technologies, including:

• Machine learning for predictions and automated decision-making.
• NLP for text analysis and conversational AI.
• Generative AI for content automation and creative solutions.
• AI Agents for process automation and multi-step task coordination.
• RAG techniques combine the power of AI with real-time data retrieval, ensuring your applications provide accurate, context-aware insights on demand.
• Agentic frameworks that enable dynamic, autonomous decision-making. Perfect for streamlining complex workflows and improving efficiency.
• Co-pilots vs agents We know AI solutions, from co-pilots that enhance human productivity to fully autonomous agents that handle entire processes independently.
• AI-powered testing and QA to automate testing workflows, identify bugs faster, and enhance the accuracy of quality assurance processes.

Timelines vary depending on the project scope and complexity:

• A proof of concept (POC) typically takes 1 week up to 2 months.
• Small to medium AI projects can be completed within 2-6 months.
• Complex, enterprise-level AI systems may require 6-12 months.

Projects built on Wippy, our AI runtime, move faster. See the Wippy question below.

Wippy is our AI runtime for building and running agent systems. Most of an agent system is standard infrastructure: durability, state management, observability. With Wippy, that part is already built, so projects start from a working foundation instead of from scratch. Typical timelines with Wippy:

• Proof of concept: 1–2 days to a week
• Small to medium projects: 2–6 weeks
• Enterprise solutions: 3–6 months or more

Yes, we specialize in integrating AI solutions into any current or legacy IT systems, ensuring minimal disruption (that’s the beauty of using AI Agents because they don’t care how messy or old a code base is. They get to work immediately 24/7). We work with various platforms, including on-premises systems, cloud-based services, and hybrid infrastructures, and we ensure that the AI solution is compatible with your existing software and tools. If you need our team to be on-premise to help, just ask.

We protect client data with anonymization, encryption, secure APIs, and compliance with data privacy regulations. The data a project uses depends on the use case, typically structured and unstructured data such as customer interactions, transactions, images, or text.

It depends on scope, so most clients start with an audit. The Lite Audit costs $500 and is delivered in 1–2 business days. The Scout Audit costs $2,500, takes one week, and the full amount is credited toward your first build. After that, pilot projects start at $12K and deliver a working outcome in 2–6 weeks, dedicated AI engineering teams start at $8K per month, and full builds start at $25K.

We scope each pilot around one workflow and a clear definition of what a working result looks like, so you find out early, not after a full build. If the pilot falls short, we tell you plainly why, whether it’s the data, the process, or the approach, and recommend whether to rescope or stop. Either way, you keep what was built and what we learned.