Developing AI strategy to advance Dynamiq platform

Client: Dynamiq, a tech company that has developed a platform for building and deploying Generative AI solutions.

Challenge: Dynamiq needed to accelerate adoption and showcase real-world impact of its agentic AI / GenAI capabilities across industries. The goal: make it easier for clients to build, deploy, and scale AI agents and workflows with confidence (less friction, faster time to value).

Solution: ZONE3000 collaborated with Dynamiq to surface use cases, design integrations, and operationalize components of its platform. This included embedding AI agents into client applications, developing backend workflows, and ensuring reliable deployment and observability.

Technology used:

• Large Language Models (LLMs) / generative AI

• Agentic AI paradigms (autonomous agents + action orchestration)

• Workflow engine / orchestration

• Deployment & observability tooling

• Knowledge retrieval / retrieval-augmented generation (RAG)

• Guardrails, evaluation, fine-tuning, LLM templates

Results:

• Faster, safer rollout of AI agents in client environments

• Reduced friction in client adoption of GenAI features

• Demonstrable ROI in workflows where agents handled tasks

• Stronger platform credibility via real use cases and integrations

After ZONE3000 implemented an advanced AI strategy in the Dynamiq platform, the client gained enhanced AI capabilities, including accurate, adaptive, and scalable performance, faster insights, improved operational efficiency, and long-term growth potential.