Fractional IT for fast-growing companies
Your team uses AI daily. Claude, ChatGPT, Gemini run in tabs, emails, docs. It works. But chaos follows.
Structure matters. You need security that holds, files AI can search, tools you control, audits that prove safety. Network Right builds that. Teams running on-the-ground in managed IT services across San Francisco lean on the same playbook. We audit your tools. We set up Claude and other platforms for your teams. We organize content so workflows scale. We're not here to start AI. We're here to make what's happening safe, visible, and aligned with your business.
Adoption is happening across every fractional IT services engagement we run. The real question is: are you managing it?
Structured AI adoption creates speed and safety:
Structured adoption moves you fast and secure. Skipping it creates chaos and risk.
Our approach: treat AI adoption like infrastructure. Audit first. Build governance into your tools. Teams use AI safely. Faster workflows. Lower risk.
We start by understanding your state. We're finding what you need, not hunting problems to sell against.
Tool stack analysis
We map every AI tool your teams use. Claude, ChatGPT, Gemini, Copilot, special models. Which teams use what. How often. What data flows where. We find shadow tools. We spot overlaps. We recommend consolidation, hardening, or integration. Lower cost. Smaller attack surface.
Data and content organization
Files scattered across drives break AI workflows. We audit structure, versions, metadata. Most teams find content unusable for AI: names don't match, history is unreadable, public and sensitive sit together. We fix this. We create a system AI can search while keeping sensitive data safe.
Access and permissions
Who can use which tools? What happens when someone leaves? Are API keys in shared docs? We audit your access model and build one that scales. We set up service accounts, key management, and rotation. These simple steps stop most leaks.
Compliance and governance
We review your compliance needs: SOC 2, HIPAA, FedRAMP, customer contracts. Most startups aren't trying to break rules. They just don't see their AI setup breaks their customer commitments. We build a framework that works. We follow the NIST AI Risk Management Framework to keep AI adoption safe and honest.
Once we know your situation, we build your AI infrastructure.
Claude and native tools integration
Claude is the standard for startups that want speed and accuracy. We set up Claude API access and configure it for your content. We connect Cowork to your file storage. We build prompts that work with your data. We tie in Slack, Notion, GitHub, Salesforce. No copy and paste.
Secure file and content workflows
We restructure your files so AI can use them:
API and access management
We set up service accounts and API keys so teams use AI safely. No creds in shared docs. We add rate limits, usage alerts, and key rotation. We build logging so you see what went in and what came out.
Team enablement and training
A good system fails if your team doesn't understand it. We run onboarding for ops leads, managers, team members. We document your rules. We show how to use tools safely. We gather feedback to improve.
Where do you stand? Answer "no" or "not sure" to more than half and reach out.
Tool governance
Data and content
Security and compliance
Access and permissions
Team readiness
What's the difference between your AI readiness service and managed AI consulting?
We don't tell you which model to use or build AI into your product. That's your engineering team. We focus on infrastructure, governance, security. We help teams use AI safely, organize files, stay compliant. Think infrastructure, not security ops.
How long does an AI readiness assessment take?
Most take 2 to 3 weeks for 20 to 100 people. We talk to key people, audit tools, check files and access, review compliance. We deliver a report with clear steps and timeline.
Do we need to switch AI tools?
No. We work with what you have. If Claude, ChatGPT, Gemini work, we'll secure and govern them. Sometimes you need fewer tools (lower cost, better control). Sometimes you need specialization (one for code, one for writing, one for analysis). We tell you what makes sense for your business.
What happens after implementation?
We stick around 4 to 8 weeks after launch to help your team learn, answer questions, fix issues. After that, it's yours. Most teams don't need us again unless they add new tools or face compliance changes.
How much does this cost?
Assessment and plan: $15K to $25K based on size and complexity. Implementation: $25K to $50K depending on scope. We can phase it if budget is tight. Contact us for a quote.
Start if any match your situation:
We've solved 50,000 issues for startups. We understand secure infrastructure. AI readiness is the same.
Most IT firms wait for things to break. We learn your roadmap before they do. Every AI readiness assessment engagement at Network Right starts with one dedicated expert who knows your stack, your people, and where you're headed.
Here's what that looks like in practice. Your team Slacks a real human. They answer in minutes. They already know your setup, so the fix is fast. Then they flag what's coming next, before it becomes a fire.
Startups use us to stand up their first AI governance framework. Later-stage teams lean on us for company-wide LLM rollout. The same dedicated expert stays with you the whole way, from your first 10 employees to your first 500.
That's how IT starts feeling in-house. Because in every way that matters, it is.
Proof in the numbers:
Ready to stop managing your IT vendor and start building your company? Book a 20-minute call. We'll walk through your stack, your pain points, and exactly how AI readiness assessment fits. No jargon, no pressure. Just a real conversation with a real engineer.
