Enquiry qualification
Ask relevant follow-up questions, read approved service information and prepare a structured handover for your sales team. Define separately whether the agent may update the CRM or book an appointment.
AI AGENT DEVELOPMENT • DUBAI & INTERNATIONAL TEAMS
AI AGENTS.
A CLEAR JOB.
CLEAR LIMITS.
WAIM develops AI agents that use approved tools and business information to complete a defined task. We specify what an agent may read, what it may change and when it must ask a person. The starting point is a real workflow with testable outcomes.
Agent architectureWAIM / BUILD
AI AGENTDEFINED TASK
KnowledgeApproved sources
ToolsScoped permissions
EvaluationTestable outcomes
Human reviewExceptions & approvals
01 / The right starting point
Do you need an agent or an automated workflow?
An automated workflow follows a defined sequence. An agent can choose its next permitted action based on the task and information returned by a tool. That flexibility also requires tighter testing, permissions and monitoring.
We assess whether your use case needs those choices. A simpler workflow or searchable knowledge base may be easier to operate when the steps are already known.
For repeatable, rules-led processesSee our AI automation service.02 / Put it to work
Three agent scopes worth exploring
These examples describe possible projects; integrations and capabilities are confirmed during scoping.
Customer support assistance
Retrieve information from approved documents and authorized account systems, prepare a supported answer and escalate requests outside the permitted scope.
Research assistance
Coordinate specialist research tasks, retain source references and return an evidence-backed brief. Missing or conflicting evidence remains visible instead of becoming a confident answer.
03 / The deliverables
What you receive
A defined scope. Working outputs. Clear ownership of what happens next.
Task and permission model
A written definition of allowed actions, data sources, excluded decisions and approval requirements.
Agent and agreed connections
The agent instructions, tool integrations and retrieval setup required for the selected use case.
Evaluation set
Representative questions and tasks with expected outcomes, including ambiguous requests, missing information and attempted misuse.
Operating controls and handover
Action records, usage visibility, failure handling and instructions for supervision, maintenance and access management.
04 / From first brief to handover
How we decide an agent is ready
Define the job
Identify the user, the current process and the business measure that matters. Check whether the required information and permissions exist.
Set acceptance criteria
Agree task-completion checks, evidence requirements, escalation behavior and a cost boundary for representative workloads.
Test before granting access
Exercise the agent on controlled examples, tool failures and adversarial instructions. Review state-changing actions before enabling them.
Release with supervision
Begin with the agreed permissions and monitoring. Review failures and repeat the evaluation after material changes to prompts, tools or models.
05 / Scope before estimates
Build cost and running cost are different
The build depends on task complexity, data preparation, channels, integrations, evaluation coverage and deployment requirements. Running costs depend on workload, model calls, retrieval, hosting and support. We define these assumptions in the proposal; a short demonstration alone cannot establish production cost or reliability.
Good questions. Clear answers.
Before
we start.
Can an agent update records or contact customers?
It can only use the actions and accounts granted to it. We scope these permissions explicitly and can require human approval before an external message or record change.
Where will our data be processed?
That depends on the agreed hosting, models and integrations. We document the data flow and provider requirements before selecting a deployment; location and retention must be verified for the actual services used.
What happens when the agent cannot finish a task?
The design defines retry limits and a handover route with context. Unresolved tasks should be visible to the responsible team, rather than silently marked complete.
Your next move
Describe the job you want an agent to do
Share the tools it would need, a typical request and an example it should refuse or escalate. We will use that to assess a sensible first scope.
Send your agent brief