Your company uses AI.Is anyone in control?
The proliferation of AI inside companies has created a layer of costs, risks and dependencies that no IT spreadsheet captures. The consequences arrive before any manager notices.
Illustrative — based on real market data
0%
No AI policy
of mid-sized companies have no formal policy governing internal AI use
$0k+
Untracked spending
average annual AI cost that escapes procurement and IT processes in mid-sized companies; in distributed operations, this number is usually higher
0 in 5
No visibility
of managers cannot identify how many AI tools are actively running inside their company
0%
Shadow AI detected
of organizations have found unauthorized AI use involving sensitive corporate data
There is a cost that no spreadsheet records.
Decentralized AI adoption has created a layer of waste, risk, and operational chaos that grows every week. Most companies still do not know the full scale of the problem.
Costs out of control
Each department buys its own AI, pays from its own budget. Nobody consolidates. Nobody questions it. The total only surfaces when it is too large to ignore.
Shadow AI
Employees use unapproved tools with client data, contracts and corporate strategies. The legal and reputational risk is already accumulating — it simply has not been accounted for yet.
Tool fragmentation
Marketing uses one AI. Sales uses another. HR uses a third. No integration, no standard, no shared learning. Three contracts paying for the same value.
Prompts that waste money
Each employee writes prompts their own way. Results are inconsistent, expensive, and non-transferable. Knowledge gets locked in individual conversations that disappear with the person.
Single vendor dependency
When the entire operation depends on one provider, any change in pricing, policy or availability becomes a crisis. It is a matter of when, not if.
Absence of governance
No policy, no committee, no approval process. Exposure grows with every new tool adopted without criteria. Regulatory scrutiny is coming — and it will not wait.
How we structure AI use in enterprises
Every engagement starts by understanding what is actually happening — not what the reports suggest. We combine consulting with proprietary Intrabit solutions.
AI Audit
Most companies do not know their own AI usage. We map tools, real costs, exposures and redundancies — delivering the first honest picture of what is happening inside the organization.
Corporate Standardization
We build the official stack, internal usage policies, and the company prompt library. AI use shifts from individual habit to an organizational asset with standard and governance.
AI Cost Management
We implement intelligent model routing: simple tasks go to inexpensive models; critical tasks go to high-precision models. Costs drop without loss of quality.
Control Recovery
For organizations that have already lost track. We work to map the chaos, prioritize what hurts most, and restore operational order in weeks — not quarters.
Multi-Model Strategy
Dependency on a single provider is a systemic risk. We design architectures with fallback, redundancy, and intelligent routing so operations remain stable under any scenario.
Corporate Prompt Library
Poor prompts are expensive. We create templates, playbooks, and processes so that the knowledge of effective AI use becomes a company asset — not individual knowledge.
AI Governance Program
Compliance, corporate policies, approval structure, and continuous monitoring. For companies that understand AI is critical infrastructure — and must be governed as such.
Intrabit Governance Hub
We implement an Intrabit proprietary layer to centralize tool inventory, approval trails, and risk ownership. The company gains a single source of truth for AI usage across all teams.
Routing and Guardrails Engine
We deploy our framework for model routing, context-based usage policies, and risky-pattern blocking. Operations become cheaper, more predictable, and safer without reducing productivity.
From diagnosis to control
No endless projects. No abstract deliverables. Each phase has a start, an end and a measurable result.
Initial Diagnosis
FreeA 45-minute session to map the real situation: which tools are in use, the level of exposure and where the main losses are. No cost, no commitment.
Deep Audit
Full analysis of tools, contracts, costs and risks. We deliver an executive report with the real diagnosis and the highest-impact levers.
Structuring Plan
Based on the audit, we define priorities, outcome estimates, and a realistic implementation roadmap calibrated to the size and stage of your company.
Implementation
We execute alongside your team. Without replacing people, without disrupting operations. Gradual changes with visible results at each sprint.
Continuous Monitoring
We track indicators, adjust course, and keep the structure current as new models and scenarios emerge. Governance is not a project — it is a practice.
Team Training
Hands-on training for the teams using AI day-to-day — focused on safe usage, internal policies, and how to report incidents. Knowledge that stays within the company.
Certification & Periodic Review
At each cycle, we review policies, audit controls, and issue a compliance report. The document demonstrates to clients, investors, and regulators that AI is under control.
Companies using AI but needing order
We work with companies of any size — from startups to large conglomerates. What matters is not the size, but the problem: AI being used without policy, visibility, or control.
Small, medium, or large — if you use AI, we can helpDo not wait for chaos to become a crisis.
A 45-minute conversation is enough to understand the scale of the problem — and whether it makes sense to proceed. No sales pitch. Just honest diagnosis.
What we are observing
Request your diagnosis
Fill in the form and a specialist will be in touch within 24 hours to schedule the initial session.