Enterprise AI Agents. In Production. Under Control.
Enterprise AI does not fail at a layer. It fails at the seams between vendors, where nobody owns the line from identity and model access to tool execution and business outcomes. We own that line.
One Control Plane. Five Layers.
Governed AI infrastructure, delivered end to end — from the gateway that governs every model call to the agents your teams actually use.
- 01 Platform
- 02 Models
- 03 Applications & Agents
- 04 Data & Identity
- 05 Operations
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01
Platform
An open foundation with an AI Gateway as the single door to every model and an MCP Tool Hub as the single door to your systems. No license lock-in, no forced upgrade path.
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02
Models
Any provider, any open-weight model, routed by policy — including EU-resident routing for regulated data. Swapping a model is a config change in Git.
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03
Applications & Agents
Agents connected to the systems you actually run — code, tickets, documents, CRM, ERP — acting with each principal's own permissions, whether user, workload, or delegated identity.
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04
Data & Identity
Classification, inventory and access control run through every other layer at once. This is what makes the platform auditable instead of assumed safe.
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05
Operations
DevOps, SecOps and AIOps, continuous — including layers we didn't build. Everything as code: every change reviewed, tested, and rolled back if it breaks.
How a Request Moves Through the Platform
Two control points: an AI Gateway as the single door to every model and a Tool Hub as the single door to your systems — with execution staying inside your boundary.
Sovereignty Without the Hardware Bill
Every model deployment carries a residency attribute. Confidential data is routed only to EU-resident providers, and restricted data can stay on infrastructure you operate yourself.
The Boundary That Actually Matters
Models never execute tools directly. Every action against your systems runs through a Tool Hub inside your boundary — the model only ever sees a policy-checked, provenance-tagged result back. That holds no matter which provider answers the prompt.
EU-Resident Routing, Three Tiers
- EU API gateways — OpenAI-compatible routing to open-weight models, Article 28 DPAs, zero-retention defaults
- Sovereign specialists — built for regulated industries, NIS2-aligned
- Managed EU cloud inference — open-weight models on EU infrastructure, no third-party gateway at all
What Never Leaves the Customer Boundary
- Tool execution and system credentials
- Raw access to source systems
- Restricted data, by default
One Build, Evidence for Every Framework
Classification, inventory and access control are the shared foundation under every framework below. We gather that evidence once, during the build. Only the auditor changes.
From Scattered Access to Governed AI
A composite of typical enterprise starting points — illustrative, not a client reference. The end state below is what the platform is built to enforce.
The Typical Starting Point
- ChatGPT Enterprise + Claude + n8n + internal APIs + Jira + GitHub, connected ad hoc
- API credentials scattered across tools and team wikis
- No unified log of model calls, no tool-level authorization
- Data residency left to each vendor's default settings
The Governed End State
- Employee → SSO → agent → AI Gateway → model: every call logged and routed by data tier
- Agent → Tool Hub → authenticated principal → per-tool policy → your systems
- Production writes — like merging a PR — go through human approval
- Confidential data routed only to EU-resident providers
A Direct Path In.
Four steps. No long-term commitment. You can step off after any of them.
Talk
We map your AI exposure and tell you honestly if we're a fit.
Free · 30 minutes
Assess
A regulatory exposure report and a costed technical design — yours to keep, whoever implements it.
2–6 weeks · flat fee · remote
Build
Gateway, tool hub, agents — connected to what you already run, not a sandbox.
Project priced · per layer
Operate
DevOps, SecOps and AIOps against agreed service levels — including systems we didn't build.
Monthly retainer · ongoing
Who Does the Work
I'm Valery Levchenko. I handle all complex security and AI platform work personally.
Experience & Credentials
15 years in security. NSO Group (cyber intelligence). Noname Security (API security). Qwilt (CDN infrastructure). CISSP certified. MCSE Security. AWS Security Specialty. IAM/CIAM specialist.
Track Record
50+ security assessments and compliance certifications completed. Every client who followed our recommendations passed their audit. I've built and secured production systems, not just audited them.
How We Work
I do the architecture, policies and technical work. My team implements. You review and approve. When you hire Point Solutions, I'm personally involved in every engagement.
Let's Talk
30-minute consultation to discuss governed AI infrastructure for your organization.