One accountable delivery partner
Strategy, architecture, implementation and optimisation under one technical lead.
Custom agents, connected data and automated workflows—designed around your infrastructure, governed for your risk, and deployed where your teams already work.
We begin with the business constraint, not the latest model. Every engagement connects technology to a measurable operational outcome.
Strategy, architecture, implementation and optimisation under one technical lead.
Production experience connecting data and operations across more than 27,000 fleet assets.
Built in Dubai for UAE workflows, stakeholders and enterprise expectations.
From the first process map to monitored production—without replacing the systems that already run your business.
We map workflows, data and constraints, score high-value use cases, estimate the business case, and turn the result into a practical delivery roadmap.
↗Production AI agents with tool use, RAG, approvals and multi-agent orchestration—built for your policies, vocabulary and operating model.
↗MCP servers, APIs and secure connectors for CRM, ERP, fleet, IoT, databases, documents, finance systems and internal tools.
↗Evaluation, monitoring, version control and continuous improvement so deployed agents stay accurate, useful and aligned as the business changes.
↗Focused systems can prove value quickly, then become the foundation for broader automation.
Route tasks, update systems and escalate exceptions with human approval where it matters.
Extract, classify and validate information from contracts, invoices, forms and reports.
Give staff reliable answers from policies, SOPs, product data and approved internal sources.
Qualify leads, prepare briefs, keep records current and surface the next best action.
Turn scattered operational data into on-demand explanations, alerts and decision-ready summaries.
We design around least privilege, clear approval paths and traceable actions. Your agent connects to approved sources and exposes only what each user needs.
Approval checkpoints, escalation paths and override controls.
Bounded permissions, policy checks, evaluations and audit trails.
Scoped credentials, API controls and MCP tools connected to approved systems.
Your cloud, databases, documents and operational platforms remain the source of truth.
Short feedback loops keep stakeholders aligned and reduce the distance between a promising prototype and a dependable operating system.
Define the process, users, baseline, data boundaries and success measure.
Choose the architecture, control points and system integrations.
Ship a working system against real scenarios and representative data.
Evaluate quality, security, failure modes and user experience before release.
Deploy, monitor, document and improve with your team.
Maintenance, incidents, utilisation, driver and asset intelligence.
Exceptions, documents, inventory and service coordination.
Knowledge access, case workflows and operational reporting.
Leasing, property operations, enquiries and document flows.
Reconciliation, approvals, compliance support and reporting.
Guest services, staff knowledge and back-office automation.
Research, delivery workflows, proposals and client knowledge.
Any workflow where data, decisions and action are disconnected.
I‑Plug is led by Papa Birame Tall, a Dubai-based CTO and AI Integration Architect with hands-on experience across enterprise software, fleet operations, IoT and government-facing systems in the UAE.
You work directly with the person shaping the architecture. The goal is simple: identify where AI earns its place, build it properly, and leave your team with a system they can understand and operate.
Start with a frequent, measurable workflow where people spend time gathering information, moving data or handling predictable exceptions. We can identify and rank those opportunities in an initial audit.
Usually, yes. We favour integration over replacement and can work through APIs, MCP servers, databases, approved exports and existing cloud services. Technical access and security constraints are confirmed during discovery.
Both—but prototypes are designed as decision points, not theatre. When a use case proves valuable, we harden it with access control, evaluations, monitoring, documentation and operational ownership.
Yes. The architecture can be designed for Azure, AWS, Google Cloud or suitable private infrastructure, depending on your policies, tools and model requirements.
We scope permissions, add approval gates for sensitive actions, trace tool calls, test failure scenarios and monitor output quality. The exact control framework is tailored to the use case and the regulations that apply to your organisation.
A focused discovery can take days; a contained workflow can often be piloted in weeks. Multi-system enterprise programmes take longer. After a short consultation, we provide a staged plan with scope, dependencies and milestones.
In 30 minutes, we’ll clarify the workflow, identify a practical AI use case, and tell you candidly what should happen next—even if the right answer is “not yet.”
contact@i-plug.ai