Sales and lead qualification agents
Collect requirements, explain qualification rules, match the enquiry to a sales queue and draft a follow-up. Store the source conversation and reasons for the proposed next step in your CRM.
Control Shift / AI agent development
AI Agent Development Company in Dubai
Control Shift builds custom AI agents that work with your business systems: qualify enquiries, retrieve company knowledge, prepare documents and carry out approved CRM or ERP actions. We connect the conversation to a defined task, a responsible owner and a result your team can inspect.
For UAE operations, sales and technology teams commissioning an AI system around their own processes, permissions and Arabic or English customer interactions.
From request to recorded result
Identify the request
A structured enquiry with source and missing fields.
Retrieve and qualify
A qualification draft supported by business records.
Review the next action
An allowed action or an assigned review task.
Update and verify
A verified CRM record and an auditable action history.
Illustrative build scope. Systems, actions and review points are agreed for your project.
AI agents built around business tasks
Enterprise AI agents need more than a prompt. Each agent has permitted information, specific tools and a clear stopping point. A conversational interface can also use tools; the useful distinction is how much of a workflow the system is authorised to complete.
Customer support agents
Retrieve approved guidance, check a verified customer record and prepare a response or service ticket. Route missing evidence, complaints and account changes to the responsible team.
AI receptionists and booking agents
Collect appointment requirements and check staff, location and calendar availability. Confirm the selected slot through the booking system before telling the customer it is booked.
Knowledge agents
Search permitted policies, manuals and project records. Return source references and flag conflicting or outdated material instead of presenting an unsupported answer as company policy.
Operations agents
Prepare purchase requests, assign service tasks and coordinate email workflows around existing ERP rules. Financial commitments and exceptions follow the same approval responsibilities as the underlying business process.
Document processing agents
Extract fields from quotations, invoices or intake documents into a review queue. Preserve the original file, field evidence and corrections before posting validated records.
Data analysis and reporting agents
Query approved reporting views and draft a report with its date range, filters and sources. Restrict database access and validate totals against the source report before distribution.
Voice agents
Handle defined telephone enquiries, qualification and appointment requests. Include caller clarification, call summaries and a transfer or callback path when the system cannot complete the task.
WhatsApp agents
Turn business messages into structured enquiries, order drafts or support cases through the WhatsApp Business Platform. Keep conversation ownership and agent-to-staff handover visible.
Multi-agent workflows
Separate retrieval, drafting and checking where the task benefits from distinct responsibilities. A shared workflow state records each step; an independent approval rule controls consequential actions.
From a sales enquiry to an approved CRM action
Step 1
Identify the request
Receive a website or approved messaging enquiry, identify its language and collect the fields the sales team needs. Ask for missing details before proceeding.
Result: A structured enquiry with source and missing fields.
Step 2
Retrieve and qualify
Check permitted product or service information and apply agreed qualification criteria. Keep the evidence and routing reason alongside the proposed classification.
Result: A qualification draft supported by business records.
Step 3
Review the next action
Allow routine routing within agreed limits. Ask a sales owner to approve commercial commitments, discounts or sensitive account changes.
Result: An allowed action or an assigned review task.
Step 4
Update and verify
Write the approved CRM activity through a restricted API, check the returned record and log the result. Failed or repeated requests enter a recovery queue.
Result: A verified CRM record and an auditable action history.
Illustrative scenario
A property enquiry that reaches the right broker
A Dubai brokerage receives Arabic and English enquiries across channels. A useful agent can prepare the enquiry for a broker while keeping property availability and commercial decisions tied to the brokerage records.
This example describes a proposed workflow, not a customer result.
Customer request
I need a two-bedroom apartment near my office. Can I view one on Saturday?
Agent clarification
Collect the preferred area, budget, viewing time and permission to arrange a follow-up. Do not infer missing preferences.
System checks
Search approved listing records, check freshness and confirm the assigned broker has access. Prepare a viewing request rather than inventing availability.
Broker handover
If a listing is stale or the calendar is unavailable, send the enquiry, collected preferences and unresolved question to the broker.
Recorded outcome: A CRM enquiry with customer preferences, referenced listings, routing reason and the next person responsible.
How the system fits together
Agentic AI development combines a language model with retrieval, tools and workflow orchestration. The model proposes a next step; application code enforces access and action rules. This boundary remains useful whether the project uses one agent or several.
Channels and identity
Website, voice, email or WhatsApp requests enter an authenticated application. Customer identity and staff roles determine the information that can be accessed.
LLM and retrieval
An LLM interprets the request. Retrieval-augmented generation (RAG) can bring permitted document passages from search or a vector database, with their source and version.
Tool and function calling
Typed tools expose selected CRM, ERP and calendar operations. Validate arguments, permission scope and current record state before an API call executes.
Workflow orchestration
Persist task state, timeouts, retries and approval checkpoints in a database. Limit loops and repeated actions so a failed external service does not create duplicate records.
Human approval and guardrails
Separate a proposed action from its execution. Check spending limits, required fields and allowed recipients in application logic, with an escalation queue for exceptions.
Logging and observability
Trace source retrieval, tool calls, reviewer decisions and final outcomes. Monitor unresolved tasks, error rates, latency and usage cost without putting unnecessary sensitive data into logs.
Connect the systems your team uses
We scope each connection against your available APIs, licences, permissions and data quality. The proposal identifies what can be read, what can be changed and who approves each action.
CRM and sales operations
Lead intake, qualification reasons, sales follow-up drafts, account summaries and approved activity updates.
ERP and operational records
Purchasing, stock checks and document queues connected to existing entity, role and approval rules.
WhatsApp Business API
Messaging events, shared conversation ownership and a clear transition from automated responses to staff.
Workspace, collaboration and APIs
Scope Google Workspace, Microsoft 365, Slack, internal databases and custom APIs against the permissions available in your accounts.
LLM and company knowledge
Approved documents, retrieval permissions, citations and model evaluation connected to the agent runtime.
Payment and finance workflows
Prepare payment references or reconciliation drafts. Transaction approval and account authority stay in the finance system.
Define access, exceptions and accountability
Least-privilege access
Define read and write permissions per tool, user and business entity. Keep credentials outside model context and check authorisation again at execution.
A person owns exceptions
Assign review queues, response expectations and a manual fallback. Give reviewers the source evidence and proposed changes, not just an unexplained approval button.
Data and deployment boundaries
Agree sensitive fields, retention, logging and provider terms before integration. Private deployment options depend on the model, hosting environment and operational support available.
Evaluation before wider autonomy
Test normal requests, misleading documents, missing records, revoked permissions and tool failures. Expand allowed actions only after the agreed acceptance cases pass.
Practical applications for Dubai and UAE teams
Choose the workflow around your records, customer languages and operating rules. These examples show where a tailored build can support the people doing the work.
Real estate
Bilingual enquiry qualification and viewing requests linked to approved listings and broker responsibilities.
Construction and contracting
Quotation extraction, project document retrieval and purchase request drafts tied to BOQ and project codes.
Clinics and healthcare administration
Appointment intake and administrative answers from approved clinic information, with clinical questions passed to staff.
Logistics
Shipment enquiries and freight document intake tied to the correct customer, shipment and latest operational status.
Hospitality
Guest requests and booking enquiries linked to property rules, availability checks and staff handovers.
Retail and ecommerce
Catalogue questions, order-status checks and returns intake using current product and customer records.
Financial services
Document collection and evidence summaries for authorised review teams, with decisions retained by accountable professionals.
Facility management
Fault descriptions become work-order drafts linked to building, asset, contract and supervisor review.
From discovery to a monitored release
01
Discover and map
Choose one task, its owner and its success measure. Map inputs, source systems, handovers and the actions that require approval.
02
Prototype and integrate
Evaluate representative examples before connecting restricted tools. Build the retrieval, workflow state and review screen around the approved design.
03
Test and release
Check answer evidence, tool permissions, duplicate prevention and manual recovery. Run a supervised pilot and agree the conditions for production release.
04
Monitor and improve
Review completion, correction, handover and operating cost data. Version prompts, models and tools, and rerun acceptance cases when they change.
Development scope depends on the number of workflows, integration access, data preparation, language coverage and action risk. A proposal separates the first release from later expansion and identifies model usage, infrastructure and support requirements. Bring a sample task and the systems it touches to the consultation.
Questions before you build
What does an AI agent development company build?
A custom agent project combines the interface, model, company knowledge, connected tools, workflow state and supervision needed for a business task. Control Shift scopes these parts around your systems and team responsibilities.
Can an AI agent update our CRM or ERP?
Yes, where the system exposes a suitable API and your organisation authorises access. We define allowed fields and actions, validate each request and require approval for agreed exceptions. Read-only access can be the first phase.
Do we need a multi-agent system?
Only when separate responsibilities or specialist tools justify the extra orchestration. A single agent with a predictable workflow is often easier to evaluate and operate. We compare both approaches against the actual task.
How autonomous can the agent be?
Autonomy is set per action. Routine information retrieval and routing may run automatically within defined rules, while commitments, payments or sensitive record changes require review. Failure paths always need an owner.
Can custom AI agents work in Arabic and English?
Both languages can be scoped. Evaluate real terminology, mixed-language messages and ambiguous requests with bilingual reviewers. Voice projects additionally need testing for the intended accents, names and telephone conditions.
Can we use a private LLM or our existing model provider?
We can assess either option against model quality, deployment access, data boundaries, latency and operating cost. Hosting location, provider terms and external tool connections must be confirmed for the complete design.
What determines the cost and development timeline?
The main factors are workflow complexity, available interfaces, source quality, approval rules, languages and acceptance testing. We scope a first release after reviewing these inputs and separate development from recurring operation costs.
How will we know whether the agent is useful?
Agree a baseline and acceptance cases with the process owner. Track completed tasks, corrections, unsupported responses, handovers, failed actions and cost per completed workflow during the pilot and after release.
Bring us one workflow worth improving
Share the task, the systems involved and an anonymised example. We can map the first release, its integrations, review steps and acceptance criteria with your team.
Your proposal can separate development, provider usage, hosting and ongoing support so you can assess the full operating scope.
Contact Control ShiftDiscuss your AI project
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