Agentic AI Readiness Assessment
A structured audit of your workflows, data infrastructure, and organizational readiness. You leave with a prioritized roadmap specific to your business — not a generic AI strategy deck.
Agentic AI Adoption — MENA & Global
Coregentic helps businesses across the Middle East and globally move beyond AI experimentation — designing and deploying agentic workflows that deliver measurable outcomes.
Trusted by forward-thinking organizations
Businesses adopt AI tools in isolation but fail to connect them into workflows that operate autonomously. The result: costly experiments with no lasting competitive edge.
Every engagement follows a deliberate arc — from understanding where you are, to building what you need, to making it last.
A structured audit of your workflows, data infrastructure, and organizational readiness. You leave with a prioritized roadmap specific to your business — not a generic AI strategy deck.
Custom AI agents built and integrated into your existing systems — CRMs, ERPs, data pipelines, communication platforms. Designed to be owned by your team, not dependent on ours.
Multi-agent workflow architecture where individual agents collaborate on complex, multi-step processes. We handle tool selection, orchestration design, and production deployment.
Human-in-the-loop design, compliance frameworks, and team enablement programs that make autonomous AI safe, auditable, and genuinely adopted — not feared.
Every engagement follows the same four phases. Each one unlocks the next.
Map your current state: workflows, data maturity, tech stack, team readiness, and where agents deliver the fastest ROI.
Architect the agent system — which tools, which models, which orchestration patterns, and how humans remain appropriately in the loop.
Build, integrate, and ship to production. Measure outcomes against baselines established in the assessment phase.
Replicate successful patterns across teams and functions. Establish internal competency so your organization owns what was built.
We focus on industries where autonomous workflows unlock genuine operational advantage — not just marginal efficiency gains.
Real engagements. Measurable outcomes. Built to be owned by the client's team — not dependent on ours.
Jordan · B2B SaaS · Email Infrastructure
Enterprise email delivery & marketing automation — Amman, Jordan
Email Solutions provides email delivery infrastructure and campaign management to enterprise clients across the Levant. Their support and customer success teams were spending the majority of their working hours on repetitive tasks: triaging deliverability issues, generating monthly performance reports, responding to template requests, and manually onboarding new accounts. Headcount costs were rising faster than revenue.
What Coregentic built
Coregentic designed and deployed an internal agentic operations layer: a support-triage agent that classifies, routes, and drafts responses to incoming tickets; a reporting agent that generates client performance summaries on schedule; and an onboarding agent that walks new accounts through configuration steps autonomously. Together they handle over 80% of previously manual internal workload.
Financial Services · Mid-Market · 1,200 employees
Underwriting automation — anonymized at client request
A regional specialty insurer was running underwriting decisions through a 14-step manual review process taking up to 72 hours per policy. Coregentic deployed a multi-agent orchestration layer integrated with their existing CRM and document systems.
What Coregentic built
Autonomous underwriting agents handle document ingestion, risk signal extraction, and eligibility scoring — routing only edge cases to human reviewers. 78% of standard policies now process with zero human intervention.
"Coregentic didn't sell us a platform — they changed how we think about operations. Six months in, our teams are running autonomous workflows we couldn't have imagined building ourselves."
Sarah KhouryCOO, Meridian Group
Everything you need to know before starting an engagement.
Book a free 45-minute discovery call. We'll focus on your specific context — not a generic AI pitch.
Let's build something that actually runs itself.
Most discovery calls take 45 minutes. If we're not the right fit, we'll tell you.