Discovery
Interview owners, inspect processes, identify data sources, rank automation opportunities, and define governance needs.
Product
P47.ai products and implementation services for AI agents, sovereign AI, enterprise AI, and custom AI systems.
The strongest AI companies sell outcomes, not models. P47.ai positions every service around autonomous work, secure deployment, and long-term transformation.
Interview owners, inspect processes, identify data sources, rank automation opportunities, and define governance needs.
Choose cloud, on-prem, sovereign, or hybrid patterns with retrieval, agent runtime, model routing, and observability.
Build agents, tools, approval flows, integrations, dashboards, evaluation sets, and operating documentation.
Monitor performance, cost, drift, risk, user adoption, service quality, and continuous improvement.
Autonomous AI agents for enterprise and government operations.
Domain-adapted foundation models, private LLMs, multimodal AI, and Arabic-language optimization.
Private AI clouds, data residency, national AI infrastructure, governance, and lifecycle management.
Reusable enterprise AI workspaces, RAG platforms, orchestration layers, and command centers.
Board-level AI strategy, operating model redesign, workforce enablement, governance, and ROI measurement.
Modern data foundations for production AI, including vector databases, knowledge graphs, semantic search, and pipelines.
Secure AI deployment, prompt security, model red teaming, risk assessments, compliance, and access controls.
Monitoring, evaluation, cost optimization, model routing, continuous improvement, and performance analytics.
Repeatable AI offerings for regulated sectors and high-stakes enterprise operations.
GPU clusters, AI cloud architecture, Kubernetes, inference optimization, edge AI, and high-performance AI infrastructure.
Design and operate teams of specialized AI agents that complete repeatable enterprise work under governance.
A secure operating layer for ministries to run citizen services, knowledge systems, approval workflows, and AI command centers.
Transform public sector documents, regulations, data assets, and institutional knowledge into governed AI retrieval systems.
Executive control rooms for AI performance, cost, risk, service quality, incidents, and adoption across the enterprise.
Internal tools for building, testing, improving, and governing custom enterprise AI agents.
Production-grade AI agents that resolve service requests across chat, email, voice, WhatsApp, and internal support desks.
Internal agents for IT, HR, finance, procurement, legal, facilities, and enterprise knowledge support.
Arabic-first and bilingual AI systems for GCC organizations that need local language accuracy, tone, and governance.
Private cloud architecture for model hosting, agent runtime, data pipelines, evaluation, and observability.
Secure AI deployment inside regulated enterprise, government, and critical infrastructure environments.
A practical governance function for policy, risk review, model registry, approval workflows, and AI assurance.
Retrieval systems that connect enterprise documents, databases, tickets, policies, and knowledge bases to trusted answers.
A repeatable testing environment for agent accuracy, safety, latency, cost, and business outcome quality.
Connect AI agents to enterprise APIs, CRMs, ERPs, data warehouses, document systems, and workflow engines.
Leadership and workforce programs that turn AI deployments into measurable operating model change.
Turn one-off prototypes into reusable products, platforms, templates, and repeatable delivery motions.
Prepare AI systems for regulated deployment through controls, documentation, assessment, and audit readiness.
Reduce AI spend with model routing, caching, prompt optimization, usage controls, and workload segmentation.
Operational response workflows for model failures, unsafe outputs, data leakage risk, and production incidents.
Board and leadership briefing systems that synthesize enterprise data, risks, decisions, and operating signals.
The market is moving toward AI employees, enterprise knowledge platforms, customer support agents, agent orchestration, and private deployment. P47.ai combines those lessons with sovereign AI, Arabic capability, and government-grade delivery.
Agents are framed as digital workers with roles, escalation paths, evaluation, and live operating metrics.
Every agent needs trusted access to enterprise knowledge, policy, documents, systems, and source-backed retrieval.
The promise is not a chat interface. The promise is dependable workflow automation with governance and observability.
In the GCC, secure private deployment, Arabic capability, and national knowledge infrastructure become strategic differentiators.
Clear technical and operational answers for enterprise AI, sovereign AI, and custom AI development programs.
Yes. P47.ai can design private, on-prem, and data-resident deployments with access controls and governance.
Yes. P47.ai designs integration patterns for APIs, databases, documents, enterprise systems, and approval workflows.
Discovery can begin quickly. Production timelines depend on data readiness, security requirements, integrations, and scope.