Workflow agents
Multi-step agents that gather information, apply business rules and carry out the next step in connected systems.
- Multi-step reasoning
- Tool and API use
- Approval gates
AI agents & assistants
AI agents and assistants that understand, decide and act.
We build agents that do real work inside your operations: assistants that answer from approved knowledge, workflow agents that retrieve, analyze and act across systems, and chat and voice agents for customers. People approve anything consequential before it happens.
- Chat & voice
- agents for customers, teams and partners
- Grounded
- answers drawn from your approved knowledge
- Human control
- approval before consequential actions
What this covers
The agents we build.
Assistants and copilots
Dedicated assistants for teams and roles that answer from documents and data, with sources attached.
- Role-based copilots
- Retrieval over company knowledge
- Arabic and English
Customer-facing agents
Chat and voice agents that resolve requests, update records and hand over to a person with the full context.
- Chat and voice
- CRM updates
- Human handoff
Delivered by Cloudilic
Proof from production.
Financial ServicesQatar Securities Company (QSC)
A governed, AI-enabled Integrated Investment Portfolio Management System powered by Dragify, with dedicated agents supporting information retrieval, analysis, reporting, and operational tasks.
1:1 dedicated AI agent per investment profile manager
Read the project: Qatar Securities Company (QSC)
FintechXPay
AI agents that answer client questions, extract data from Commercial Register, Tax ID, and National ID documents, and update CRM records.
150–240 h saved monthly across a team of 6
Read the project: XPay
Banking & PaymentsMisr Digital Payments
Autonomous monitoring agents that watch SmartVista environments, predict failures, and raise proactive alerts for mission-critical payment servers.
24/7 automated monitoring replacing manual checks
Read the project: Misr Digital PaymentsResults as reported in Cloudilic’s company portfolio.
How it moves
From a task to a supervised agent.
Every agent gets defined inputs, scoped permissions and an approval point before it runs on live work.
- 01Pick the taskChoose repeatable work with a clear owner and a measurable result.
- 02Ground the knowledgeConnect the documents and data the agent is allowed to use.
- 03Design the agentDefine its steps, tools and the decisions it may take.
- 04Add approvalsPut a person in front of anything consequential.
- 05Connect systemsGive it scoped access to the systems where it acts.
- 06Monitor runsReview runs and answers, then tune and expand.
Questions
Frequently asked questions.
How do you keep AI agents under control?
Every agent works with scoped permissions and defined inputs, answers from approved knowledge, and asks a person to approve anything consequential before it runs. Each run is logged so it can be reviewed.
Can your AI assistants work in Arabic?
Yes. Our assistants and chat agents understand and answer in Arabic and English, and read documents in both languages.
Customer support agentsWhat is the difference between an assistant and a workflow agent?
An assistant answers questions and prepares work for a person, such as summaries, drafts and reports. A workflow agent carries out steps inside a process, such as reading a document, checking it against rules and updating a system, with approval gates where needed.
Workflow agentsNext step
Put an agent to work.
Bring a task your team repeats every week. We will map where an agent fits and where people stay in control.