Enterprise
AI Meets Real runs AI agents for sales, operations, finance, procurement and support on one platform, with owners, budgets, approvals and a full record of every run.
The controls a security team, a finance team and a board will ask about, in place from the first agent.
Every AI agent has a named owner, a monthly budget and a pause switch. Each run is logged with its time, the tools it used and what it cost. Anything that leaves the company waits for a person to approve it.
Card numbers, IBANs and Emirates ID numbers are masked before a request reaches an outside model. Roles, single sign-on and audit logs come with the Enterprise package, with an AI policy and a data processing agreement.
AI Meets Real connects to Microsoft 365, WhatsApp Business, your CRM and ERP (Oracle included), ticketing and procurement systems through their APIs, so agents work inside the tools your teams already use.
Token use and cost are tracked per model, per agent and per task. Budgets stop runaway spend before it happens, and the smart router keeps simple work on fast, low-cost models.
Model choice
Pick the AI model per company, per department or per agent, or let the router choose. Quick tasks go to fast models; hard ones go to the strongest. Switching models never means rebuilding the agents.
Claude
Anthropic
Long documents, careful reasoning, writing
ChatGPT
OpenAI
General work, structured output, voice
Gemini
Large context, fast summaries, multimodal input
Kimi
Moonshot AI
Coding, agent tasks, cost-efficient long context
Your own model
Private cloud or on-premise
Any OpenAI-compatible endpoint, so prompts never leave your environment
A fixed path with a clear decision at each step.
Up to 3 departments reviewed, an opportunity map with hours and AED saved, a data readiness check and a fixed-price quote.
One process on your real data in a sandbox, with a before and after report.
Department by department, with integrations, the executive command centre and training.
Monitoring, tuning and new workflows, with a report on what moved and why.
Yes. AI Meets Real works with Claude, ChatGPT, Gemini and Kimi, and with any model you host behind an OpenAI-compatible endpoint, in your private cloud or on your own servers. You can set one model for the whole company, a different one per department or agent, or let the router choose by task.
Messages to clients, suppliers and the public, payments, contracts and hiring steps all wait for approval. A team member asks their department head, and a head asks the person you name. Nothing is marked sent until it was approved and delivered.
Each agent can have a monthly budget. When it is reached the agent pauses itself and the owner is told. Spend is visible per model, per agent and per task, and simple tasks go to faster, lower-cost models.
Usually 10 to 16 weeks for three or more departments, after a 5-day AI Audit. Many teams start with a 14-day pilot on one process first.
Book a 30-minute demo built around one of your processes, or ask us for the AI Audit.