The Control Plane for Enterprise AI
Selfic AI is the independent control plane between AI agents and enterprise systems. We give enterprises authority over who and what can act, governed execution of real work, and control of how much intelligence is consumed, with proof of every action.
Move every enterprise from fragmented AI experiments to governed AI execution with controlled AI spend, across every business function.
Enterprises are not short on AI tools. They are short on control.
Every department is adopting AI. Agents now reach into systems, take actions and consume models and tokens on the company's behalf.
Organizations need one secure way to decide who and what can act, to complete real work across their systems, and to know and control what AI costs. Selfic was created to give enterprises that foundation.
Each AI platform governs only its own agents, and no one governs across them.
AI can describe the work, but has no governed way to complete it in enterprise systems.
Consumption is spread across vendor invoices, with no budgets, owners or link to value.
Selfic governs every enterprise AI action across three controls
Authority, Execution and Economics, with the evidence to prove every outcome.
Authority
Who and what can act?
Identity, permissions by user, department and group, business and compliance policy, and human approval, enforced on every request from every agent.
Execution
How do actions happen?
Connectors, the right context, governed tools and workflows that turn AI intelligence into completed work in your systems of record.
Economics
How much intelligence is consumed?
Model selection, token budgets, limits, cost attribution and optimization, so every AI action has a known, controlled cost.
Evidence underneath all three. Every request, decision, approval, action and token is recorded, so business, IT, risk and audit can prove what AI did.
One control plane for hundreds of agents
Every enterprise will operate hundreds of AI agents, from many vendors. They should not be managed through hundreds of disconnected tools. They should operate through one independent control plane that governs authority, delivers execution and controls economics, and scales with the organization.
Built by enterprise operators and platform engineers
Hassan Zamir
Co-Founder and CEO
Leads Selfic AI's enterprise strategy, customer development, partnerships and go-to-market execution. Focused on helping organizations move from AI experimentation to practical enterprise transformation.
Ken Male
Co-Founder and CRO
Leads Selfic AI's go-to-market and revenue strategy across enterprise sales, strategic partnerships and customer growth. Focused on translating complex AI governance and automation needs into measurable business outcomes and long-term customer relationships.
Ahmad Mukhtar
Co-Founder and CTO
Leads platform architecture, AI infrastructure, enterprise integrations, orchestration and product engineering. Focused on secure, scalable infrastructure for enterprise AI execution.
How we build and partner
Enterprise first
Design for real organizations, not demos.
Security by design
Governance is part of the platform, not an add-on.
Open architecture
Support multiple systems, models and deployment environments.
Customer outcomes
Focus on measurable business value, and the cost to achieve it.
Long-term partnership
Help customers scale AI across the organization.
A control plane, not another point solution
Governs agents and models from any provider, including your own.
One end-to-end single pane of glass instead of stove-piped tools.
Budgets, limits and attribution by department, user and agent.
Every decision, action and cost recorded as evidence.
Turns AI into business execution, not just conversation.
Deploy where your data and regulations require.
Partner with Selfic AI
Build one governed AI foundation, and scale every future use case through it.