You invest just 3–5 hours per week in reviews and feedback. KMS handles the full AI agent development workload — architecture, integration, testing, and deployment.
KMS Technology acquires Addepto. Read the Full Press Release
KMS Technology acquires Addepto. Read the Full Press Release
Stop Spinning in AI Pilots. Get a Live Agent in Production: Our custom AI agent development service is built for organizations that are done with demos and ready for measurable results – using a proven sprint-based approach that balances speed with production-grade rigor.
Enterprise AI has moved from experimentation to strategic mandate. Boards, investors, and customers expect visible AI-driven progress – not another pilot deck or innovation workshop. But for most organizations, agentic AI development is stuck in what analysts call “prototype purgatory.”
The 30-Day AI Agent Development engagement is purpose-built to eliminate the gap between AI ambition and AI in production. KMS designs, builds, and deploys a working, custom AI agent directly inside your real systems and workflows — in just one calendar month.
The engagement is scoped for one high-value use case, identified in collaboration with your team, and selected for its combination of business impact and technical achievability. This isn’t a proof-of-concept — it’s a live agent in production, with integration documentation and operational handoff included.
What makes this custom AI agent development service different:
You invest just 3–5 hours per week in reviews and feedback. KMS handles the full AI agent development workload — architecture, integration, testing, and deployment.
Every decision in the custom AI agent development process is optimized for production deployment, not demo quality. The agent is scoped, built, and validated specifically for one real workflow or product feature — ensuring it’s live and integrated by Day 30.
Each weekly sprint is designed to generate measurable evidence of business impact — so by launch, you have both a production AI agent and the data to justify the next phase of agentic AI development.
Weekly build-test cycles balance speed with the rigor required for production-grade AI agent deployment — no shortcuts that create downstream fragility.
At the end of 3 weeks, you receive validated workplace safety technology performance data, a risk-prioritized roadmap, and a deployment plan your team can act on immediately.
A fully deployed custom AI agent integrated into one real business workflow or product feature – operating in your production environment, connected to your actual data and systems, and validated against your defined success metrics.
Comprehensive technical documentation covering: agent architecture design, system integration patterns, data flow diagrams, API connections, and configuration details – enabling your engineering team to understand, maintain, and extend the agent independently.
Hands-on training sessions equipping your team to operate, monitor, tune, and extend the AI agent without ongoing KMS involvement – including alerting setup, performance monitoring dashboards, and escalation protocols.
A prioritized roadmap identifying the next highest-value use cases for agentic AI development in your organization – with effort estimates, technical dependencies, and sequencing logic based on what we learned from your environment during the engagement.
The 30-Day AI Agent Development engagement is often the catalyst for a broader enterprise AI program. Here’s what organizations typically pursue next:
Go from idea to a live, production-ready AI agent – integrated into your real systems, validated for ROI, and handed off to your team with full documentation.
