Applied AI & Decision Intelligence
Founder, DEEVO Analytics
I build decision systems for enterprises: software that takes fragmented signals, reasons over them explicitly, and produces a recommendation a named human can review, accept, or reject — with the evidence still attached. The engineering problem I care about is not the model. It is everything around the model that makes an output usable in a regulated institution.
- Decision Intelligence platforms — signal ingestion, causal and graph-based propagation, scenario scoring, and decision briefs written for executives rather than analysts.
- Governed AI systems — human-gated recommendations, audit trails, evidence packs, and explicit boundaries on what the system is permitted to claim.
- Applied AI engineering — multi-agent reasoning pipelines, retrieval over regulatory and policy documents, deterministic simulation engines, and the APIs and deployment scaffolding around them.
- Domain intelligence — systems that encode how a specific industry actually decides, not generic ML wrappers.
Enterprise decision architecture for GCC institutions — macro-financial intelligence, insurance decisioning, and urban and built-environment review — with governance, traceability, and human decision authority designed in from the start rather than added afterwards.
Insurance and Takaful · Financial markets and macro risk · Built environment, infrastructure and urban review · Enterprise operations
- The institution decides. Systems advise; they do not hold decision authority.
- Evidence stays attached. A recommendation without its supporting evidence is not a recommendation.
- Traceability over throughput. Decisions should be reconstructable after the fact.
- Claims are bounded. What a system does not do is documented as carefully as what it does — in one repository, enforced by a linter in CI.
- Governance by design. Human review gates, audit trails, and data contracts are part of the architecture, not a compliance layer bolted on.
| Repository | What it is | Status |
|---|---|---|
| impact-observatory | GCC macro-financial decision intelligence — traces how macro shocks propagate, what institutional response is required, and whether the decision worked | Working system, deployed demo |
| udi-os-public-demo | Reviewer-anchored municipal decision support for Gulf urban review; bilingual EN/AR, with a governance boundary enforced by a banned-claims linter in CI | Public demo preview |
| deevo-cortex | Insurance claims decision system — fraud signals, entity-network analysis, explainable recommendations, human override, audit trail | Applied prototype |
| deevo-monitor | Economic intelligence layer — multi-agent analysis, deterministic causal chains, scenario scoring, adaptive calibration | MVP, backend tested |
| DeevoDecisionOS-Enterprise | Governed recommendation intelligence — architecture, governance model, and product thesis | Research preview (documentation) |
Repository status labels above are deliberate. Nothing here is described as a production deployment, and no customer, partnership, or benchmark claim is made on this profile.
DEEVO Analytics — applied AI and decision intelligence for enterprises. https://www.deevo-nlp.com