Solutions
AI & Agentic Systems
For teams that want AI tied to a real outcome — qualified leads, faster triage, automated routing — not feature theatre.Usually needed whenBusinesses applying AI inside a real workflowTeams with repetitive triage, routing, research, or operator-assistance needsCompanies exploring agentic systems tied to business operations
Problems it addressesToo much repetitive reasoning or triage workContext is scattered across tools and peopleAI experiments exist, but they are disconnected from the real system
What gets builtAI-assisted workflowsAgentic systemsInternal assistantsDecision-support and triage layersPrompt, orchestration, and rule systems
Common deliverablesUse-case definitionWorkflow designPrompt and orchestration logicIntegration into real systems
What that usually looks likeLead qualification and routingInternal support and triageResearch and operator assistanceWorkflow augmentation with AI
Related work
Sales & AI / Live sales intelligence platformLeads Intelligence Platform
AI-powered lead qualification and sales-readiness platform for insurance agents and sales teams across MENA.Context: Insurance agents and sales teams in MENA spend the majority of their week chasing the wrong leads — referrals with no real intent, contacts with no budget, decision-makers who can't make the decision. The bottleneck isn't lead volume. It's the inability to rank and qualify what's already in the pipeline before time is spent.What Devaay built: An AI intelligence layer that ranks leads by closeability the moment they enter the system, so agents work a list ordered by who is most likely to close — not by who arrived first.Shipped: Ranked agent worklist · Lead qualification scoring · Sales-ops dashboard Map the AI use case
The useful part is not the model alone. It is how the model fits into the business system.