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Enterprise AI agents
AI agents that answer, act and hand over at the right moment
emtech designs and builds AI agents for UAE organisations: assistants that answer customers and staff in Arabic and English, look up and update records in your business systems, complete defined tasks and pass to a person when judgement is needed. Every agent is grounded in approved information, limited to the access it needs and monitored after launch.
- Arabic and English
- CRM, ERP, Teams and WhatsApp
- Governed and auditable
Technology partnerships
The short answer
What is an enterprise AI agent?
In short
An enterprise AI agent is software that uses a large language model to understand a request, retrieve the right information from approved sources, decide on the next step and carry it out through connected systems, such as creating a ticket, checking an order or drafting a reply, within limits you set. Unlike a scripted chatbot, it can handle varied wording and multi-step tasks; unlike a free AI chat tool, it is tied to your data, permissions and processes.
The hard part of an agent is rarely the conversation. It is reliable access to the right data, sensible limits on what the agent may do, clear handover to people and proof of what happened. We design those parts first.
Where agents help first
- Customer serviceAnswer common questions, check status and open requests on web, WhatsApp and phone channels.
- Employee helpHR, IT and policy questions answered from current documents, with requests logged automatically.
- Document-heavy workRead invoices, forms or contracts, extract the details and route exceptions for review.
- Sales and researchPrepare account briefs, summarise history and draft proposals from CRM and email.
What we build
Agent capabilities
Arabic and English understanding
Agents tested on real phrasing from your users, including mixed Arabic and English, regional terms and your product names.
- Bilingual answers and tone
- Glossaries for brand and product terms
- Testing with real examples
Grounded answers (RAG)
Answers drawn from approved documents, knowledge bases and data, with sources shown where useful and no answer when the source is missing.
- Document and website ingestion
- Owner for each knowledge source
- Refusal when evidence is missing
Business system actions
Connections to CRM, ERP, ticketing, booking and Microsoft 365, so the agent can look up and update records within its permissions.
- Dynamics 365, Salesforce, SAP and others
- ServiceNow, Jira and helpdesks
- Custom APIs
Omnichannel deployment
One agent available on your website, Microsoft Teams, WhatsApp Business and internal portals.
- Website chat widget
- Microsoft Teams
- WhatsApp Business Platform
Human handoff
Clear rules for when the agent passes to a person, with the conversation and context handed over so customers do not repeat themselves.
- Escalation triggers
- Live agent transfer
- Case notes for staff
Analytics and improvement
Dashboards for questions asked, resolution, handoffs and gaps in knowledge, reviewed regularly to improve the agent.
- Conversation analytics
- Unanswered question review
- Quality evaluations
Build options
Copilot Studio, Microsoft Foundry or custom?
We choose the platform per use case. Many organisations start on Microsoft platforms because identity, security and data already live there.
| Option | Best for | Considerations |
|---|---|---|
| Microsoft 365 Copilot | Personal productivity for staff across Outlook, Teams, Word and Excel | Per-user licence; needs permissions clean-up so it does not surface overshared files |
| Copilot Studio agents | Staff and customer agents with connectors, workflows and Teams or web deployment | Fast to build; agents receive a Microsoft Entra Agent ID for identity and lifecycle governance |
| Microsoft Foundry (Azure AI) applications | Custom agents with specific models, complex logic or high volumes | More engineering; full control over models, data flow and hosting region |
| Private models on your infrastructure | Highly sensitive data or strict residency rules | Requires GPU capacity and model operations; see our AI compute pods |
Microsoft introduced Agent 365 in November 2025 as a control plane to register, govern and secure agents across an organisation, available through its early-access Frontier programme. For guidance on governing agents, see our Microsoft Agent 365 eBook.
Not sure which option fits?
Book a short discovery call. A specialist will review your goals, systems and data rules and recommend a practical first step.
How we deliver
From use case to a live, monitored agent
Decided before build
- What the agent may and may not do
- Which sources it can use and who owns them
- When it must hand over to a person
- How success will be measured
- Who reviews quality after launch
Define the job
Choose one process, map the conversations and actions involved, and set measurable goals such as resolution rate, handling time or hours saved.
Deliverable: agent specificationPrepare knowledge and access
Collect and clean source documents, assign owners, and create service accounts with the minimum permissions required.
Deliverable: knowledge base and access modelBuild and connect
Configure the agent, prompts, tools and integrations, and add guardrails for sensitive topics and actions.
Deliverable: working agent in a test environmentTest and evaluate
Test with real questions in Arabic and English, edge cases and attempts to misuse the agent, then fix and retest.
Deliverable: evaluation reportPilot and launch
Release to a limited group or channel, monitor closely, then expand once targets are met.
Deliverable: pilot results and launch planOperate
Review conversations, update knowledge, track costs and handle incidents as part of an ongoing service.
Deliverable: monthly quality and usage report
Security and governance
Agents need the same controls as people
An agent that can read data and take actions is a new kind of identity in your organisation. The OWASP Top 10 for LLM Applications lists risks such as prompt injection, sensitive information disclosure and excessive agency, where an agent is given more permissions or autonomy than it needs.
We apply least-privilege access, separate service identities, approval steps for high-impact actions, input and output filtering, logging of every action and regular red-team style testing. Customer data handling is designed around the UAE personal data protection law and your sector rules.
Guardrails we put in place
- Minimum permissions for each tool the agent can call
- Human approval for payments, refunds, deletions and similar actions
- Protection against instructions hidden in documents or web pages
- No answers from outside approved sources for regulated topics
- Full conversation and action logs, retained per your policy
- Monitoring for unusual behaviour and a kill switch
Examples by sector
What agents do in UAE organisations
Government services
Guide people through service requirements, check application status and book appointments in Arabic and English.
Banking and insurance
Answer product questions, collect documents and route cases, with strict limits on account actions.
Healthcare
Handle appointment and insurance questions and prepare information for staff, without giving clinical advice.
Retail
Check stock and order status, handle returns and recommend products on WhatsApp and the web.
Real estate
Qualify enquiries, share property details and schedule viewings for sales teams.
Internal HR and IT
Answer policy questions, guide onboarding and create IT or HR tickets automatically.
FAQ
AI agents: common questions
What is the difference between an AI agent and a chatbot?
A traditional chatbot follows scripted flows and keywords. An AI agent understands varied wording, retrieves information from your sources and can carry out multi-step tasks through connected systems, within the limits you set. Many projects combine both: scripted flows for fixed processes and AI for open questions.
Can the agent work on WhatsApp?
Yes. Agents can be connected to the WhatsApp Business Platform alongside your website and Microsoft Teams, using approved message templates where WhatsApp requires them.
How do you stop the agent from giving wrong answers?
By grounding answers in approved sources, instructing it to say when it does not know, limiting topics, testing with real questions before launch and reviewing conversations afterwards. For high-risk topics, answers can be restricted to pre-approved text.
Can it update records in our CRM or ERP?
Yes, through secure connectors or APIs, using a service identity with only the permissions it needs. Sensitive actions can require confirmation from the user or approval from staff.
Where is conversation data stored?
That depends on the platform and region you choose. Microsoft platforms can use cloud regions in the UAE, and custom builds can be hosted in a UAE region or on your own infrastructure. We document data flows as part of the design.
How much does an AI agent cost?
Costs depend on the number of use cases, channels, integrations, conversation volume and support level. Expect one-time design and build costs plus recurring platform, model usage and support costs. We provide a scoped estimate after a short discovery.
How long does it take to launch an agent?
A focused agent for one process with a few integrations can often reach pilot within weeks. Agents with many systems, strict approvals or multiple channels take longer.
Still have a question?
Share your goals, current systems and constraints. An emtech specialist will reply with practical next steps.
Which process would you hand to an agent first?
Tell us the task, the systems involved and the channels your customers or staff use. We will suggest a scope for a measured pilot.
