Engagement models
Choose the model that matches your stage and budget.
- Assessment or discovery sprint
- Fixed-scope package
- Managed monthly service
- Custom project with milestones
SERVICE PILLAR 08 · AI CLOUD, SECURITY & MANAGED AI SERVICES
Run AI securely, reliably and cost-effectively.
Cloud architecture, LLMOps, secure and private model deployment, observability and managed AI services.
Cloud architecture LLMOps / MLOps Secure model deployment Private AI
OVERVIEW
AI Cloud, Security & Managed AI Services
A dependable foundation for AI in production: security, evaluation, monitoring, cost control and continuous improvement.
Problems we help solve
- AI costs that are hard to predict
- Security and privacy concerns
- No monitoring of model quality
- Fragile deployments
PILLAR 08Support & scale
CAPABILITIESWhat’s inside
What’s inside
this pillar.
11 specialist capabilities, delivered as one connected approach.
01Cloud architecture
02LLMOps / MLOps
03Secure model deployment
04Private AI
05Identity and security
06Model observability
07Evaluation
08Cost optimization
09Incident support
10Continuous improvement
11Managed AI services
WHAT WE DELIVERA complete path
A complete path
to production.
Every engagement covers the full lifecycle—so nothing falls between the cracks.
Step 1
Discover goals, users and constraints
Step 2
Design the solution and success measures
Step 3
Integrate with your existing systems
Step 4
Train your team and hand over clearly
Step 5
Govern with approvals and human review
Step 6
Monitor, measure and keep optimizing
FLAGSHIP SOLUTIONSStart with a
Start with a
proven solution.
Ready-to-shape AI solutions from this pillar.
Trust & assurance
Privacy, approvals and human fallback are part of the design—not an afterthought.
- Integrations confirmed during discovery, never assumed
- Data handled under agreed access and privacy rules
- Approvals and human review for high-impact actions
- Quality evaluated before launch and monitored afterwards
GOOD QUESTIONS. CLEAR ANSWERS.Frequently
Frequently
asked questions.
Yes. An AI readiness assessment, a discovery sprint or a starter package such as a website chatbot is a practical first step. We agree scope, prerequisites and success measures before work begins.
Usually, yes. We review your CRM, helpdesk, website, data and business tools first, then recommend what to connect, improve or keep. Integrations are confirmed during discovery.
Assistants answer from approved knowledge, identify themselves as automated and hand over to a person when needed. High-impact actions use approvals and human review, and we evaluate quality before and after launch.
They depend on the agreed scope, integrations, usage and support. A proposal sets out deliverables, assumptions, third-party costs and milestones. Package prices are confirmed during consultation.
We can provide training, handover, managed AI services and ongoing optimization. Coverage and response commitments are defined in the agreed support plan.
REQUEST ARCHITECTURE CALL
Let’s talk about
Let’s talk about
AI Cloud, Security & Managed AI Services.
Tell us what you’re planning and we’ll suggest a practical first step.
PROJECTS & ENQUIRIESinfo@xtrazcon.com
SALESsales@xtrazcon.com
CALL US+91 95035 39447
BASED INBaner, Pune,, Maharashtra 411045, India
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