AI Agent for Greenhouse Resource Optimization via Climate Management
AI-driven copilot for smart greenhouse optimizes climate and resource management, reducing grower involvement by 10 times and enabling consistent crop growth.
We provide the 70% ready-made foundation; you define the 30% that makes the AI Agent uniquely yours. Launch a tailored Proof-of-Concept in just a few weeks.
Talk to Our ExpertsWe partner with you to build a solution that fits your exact needs. Our 70/30 model ensures you get a valuable, working AI agent quickly, without the risk of a significant upfront investment.
Reduce manual workload by automating repetitive requests and status updates.
Agents execute real actions across CRM, ERP, and HR systems, shortening cycle times.
Provide clear, personalized interactions that improve satisfaction and loyalty.
Expand to new teams or regions without increasing headcount or complexity.
Ensure every action follows verified business logic and approved data sources.
We provide your organization a 70% proven AI core foundation and the flexibility to define the final 30% for your business context. Launch a tailored Proof-of-Concept in just a few weeks.
Our 70% foundation engine eliminates the need for time-consuming development from scratch, enabling you to get a custom AI Agent in just 4 weeks.
The 30% customization adapts the AI Agent to your unique workflows and communication style — built around how your organization actually operates.
Our approach allows you to validate the solution first and see actual results before making a larger commitment.
Handles repetitive questions across chat and messengers, responds instantly, and escalates only when necessary. Ensures consistent quality with SLA tracking and seamless handover to human agents.
Guides prospects through product discovery, identifies intent, asks clarifying questions, and sends qualified leads directly to your CRM for follow-up.
Automates routine internal requests such as vacation approvals, password resets, or equipment orders — fully connected to HR and IT systems for instant execution.
Connects to your internal PDFs, policies, and articles to provide accurate, context-aware answers. Ensures your team always works with the latest information.
Allows users to book meetings, sign up for events, or reserve shared resources. Syncs with calendars and automatically suggests alternative slots if needed.
Replaces traditional forms with structured data collection via chat. Captured inputs can be saved into your system or trigger automated workflows
Usually between three and six weeks. The exact timing depends on how complex your workflows and data integrations are, but thanks to our 70% ready-made engine, you’ll see a working prototype much faster than with a typical AI build. By the end of that period, you’ll have a live, functional AI Agent trained on your own data and performing real tasks.
We start with whatever you already have. That can be CRM records, ERP data, product catalogs, or even internal documents and PDFs. You don’t have to clean or prepare everything upfront; our team helps you select the most relevant data and connects it securely.
You can run your Agent entirely in your private cloud or on-premise, whichever fits your security policies best. Some prefer a hybrid setup, where the model and data stay inside their infrastructure, while the interface runs in a managed cloud. Either way, you keep full ownership and control over every part of the system.
Once you’ve validated that the AI Agent works as intended, we move into scaling – adding more data sources, refining its decision logic, and expanding to new channels like web, mobile, Slack, or WhatsApp. You don’t need to rebuild anything; the same core foundation grows with your needs. The goal is to make the PoC the first real step of your production rollout, not a throwaway experiment.
Traditional chatbots follow scripts. AgentFlow understands context, connects to your systems, retrieves relevant information from your documents, and executes real tasks.
All data stays within your chosen environment, encrypted at rest and in transit. We use isolated storage for vectorized data, apply strict role-based access, and maintain full audit trails. Our deployments meet GDPR, SOC 2, and ISO 27001 standards.
We can begin with a short discovery workshop to understand your goals and identify the best candidate use case for a pilot. Within a week, you’ll know whether an AI Agent makes sense for your business and what value you can realistically expect.
That’s the whole point of the architecture – it integrates easily with CRMs, ERPs, HR systems, or any internal API. The agent can fetch, update, or trigger actions across your stack without breaking existing workflows.
We design the PoC so your team can observe, test, and give feedback without having to maintain the system. As we move to production, we can either hand over full ownership to your engineers or keep supporting you as a managed service – whatever fits your model best.














