AI Business Integrator for European SMBs
Reliable AI Agents for Business Control
Turn chaotic AI experiments into controlled business agents with verified data, clear instructions, quality checks, cost monitoring and measurable outcomes.
The problem
AI is easy to launch. Reliable AI is hard to operate.
Most companies already have CRM, ads, spreadsheets, task managers and AI tools. Owners still lack one trusted view of what is working, what is wasting budget and which actions need human approval.
Which ads really bring profit?
Which AI answers can be trusted?
Where is the team blocked?
What should be done today?
The system
AI Control Tower connects AI agents to business reality.
It is a practical operating layer for designing, configuring and managing AI agents that use verified sources, follow business rules, reduce token waste and support owner-level decisions.
Verified sourcesBusiness rulesToken & cost controlHuman approval
Control modelReview ready
Verified sourcesConnected
Business rulesEnforced
Human approvalRequired
Cost monitoringActive
How it works
Four controls that make agents useful for management.
Define roles, goals, verified sources, prohibited actions, escalation rules and acceptance criteria.
Connect agents to real workflows, business systems, task routines and reporting moments.
Track logs, errors, hallucination risk, token cost, quality checks and human approval points.
Measure time saved, conversion lift, speed of processing, fewer errors and stronger owner visibility.
At a glance
What you can count on.
No inflated promises — these are the practical parameters of how the work is structured and what it builds on.
4
Control layers
Agent design, runtime, control and business impact kept visible from the first workflow.
7-10 days
To first audit findings
From kickoff to a clear map of your AI risks, token costs and quality gaps — fast enough to act on.
3-5
Quick wins in every audit
Practical improvements you can apply immediately, before committing to any bigger project.
6
Business functions covered
Sales, marketing, support, operations, finance and founder-level reporting — wherever trust matters.
Services
Start with an audit. Grow into a controlled AI operating layer.
AI Agent Audit
A focused review of current AI scenarios, prompts, data sources, risks, quality gaps and token waste.
EUR 2,500-5,000
AI Agent Blueprint
A clear operating design for reliable AI agents before the business starts scaling them.
EUR 5,000-12,000
Control Tower Pilot
A working pilot that connects business data, agent workflows and management reporting.
EUR 12,000-35,000
Managed AI Agents
Ongoing quality control, optimization and business impact reporting for AI agents already in use.
EUR 2,000-10,000 / month
Agent coverage
Designed for the parts of the business where trust matters.
Sales Agent
Qualifies leads, follows up on time and flags deals that are slipping — with every reply checked against your CRM and pricing rules.
Marketing Agent
Drafts briefs, campaigns and reports from verified performance data, so budget decisions rest on real numbers instead of guesses.
Support Agent
Answers from approved knowledge sources only, escalates edge cases to a human and keeps a log of every resolved request.
Operations Agent
Turns recurring tasks, handoffs and status updates into routines that run reliably and surface blockers before they grow.
Finance Agent
Prepares invoices, reconciles records and assembles management reports with read-only access and human approval before anything is sent.
Founder Agent
Gives one morning view of what worked, what wasted budget and what needs your decision today, pulled from verified business data.
- CRM, ERP and WMS workflows
- Business intelligence and analytics
- Digital product architecture
- AI workflows and management reporting
Delivery model
Working remotely across Europe.
Cross-functional experience across CRM, ERP, WMS, BI, dashboards, mobile products, analytics, AI workflows and complex digital platforms.
FAQ
Common questions, answered straight.
Timelines, confidentiality, scope and pricing — the practical side of working together.
How long does the AI Agent Audit take?
7-10 days from kickoff to findings. You get an inventory of your AI use cases, a risk and quality map, a token and cost efficiency review, 3-5 quick wins and a 30/60/90-day roadmap.
What exactly do you review during the audit?
Existing prompts, agent roles, knowledge sources, CRM or task context, escalation points, hallucination risk, access control and business impact. The goal is a clear picture of what works, what wastes budget and what needs human approval.
How do you handle confidentiality and NDA?
An NDA can be signed before any access is shared. Client systems, prompts, CRM records and internal documents are handled under agreed project scope, role-based access and confidentiality terms, with a GDPR-aware approach to data.
How does pricing and payment work?
Each service has a published price range — from EUR 2,500 for an audit to monthly managed operations. The exact quote is fixed in advance based on scope, before any work starts. The audit is a standalone deliverable: there is no obligation to continue after it.
We have almost no AI in place yet. Is it too early?
No — that is often the cheapest moment to get the architecture right. The audit then focuses on your data, tools and processes, and the roadmap shows where agents bring value first without uncontrolled experiments.
How do we work together remotely?
Delivery is remote across Europe, in English or Russian, starting with a short scoping call. Communication runs through the channels your team already uses, with weekly management reports on longer engagements.
Free checklist
Score your AI control in 5 minutes.
15 yes/no questions across data, instructions, quality and cost — the same areas a paid audit covers. Tick honestly, count the score and you will know exactly where budget and trust leak.
Get started
Ready to put your AI under control?
Start with a focused AI Agent Audit — a clear map of risks, quick wins and a practical roadmap. No obligation to continue.