1) Discovery Sprint
Use-case prioritization, baseline process mapping, ROI range, and feasibility scoring.
AI Acceleration Studio
From AI idea to production value with delivery controls built in.
We help enterprise teams validate, ship, and scale AI programs with measurable outcomes. The studio combines fast experimentation, governed execution, and production readiness.
PoC in 2-6 weeks
LLM + RAG + Agents
Governance-first rollout
AI Program Status
Control points from pilot to scale
Live
Use-case scoringBusiness impact aligned
Aligned
PoC buildRapid prototyping active
Active
Governance gatePolicy checks passed
Verified
Data readinessPipelines and access secured
Ready
Production rolloutMonitoring and optimization live
Live
Studio Flow
A repeatable path to de-risk enterprise AI.
Every phase has clear entry criteria, output artifacts, and go/no-go checkpoints.
2) Rapid PoC
Quick build with model selection, prompt design, and measurable acceptance criteria.
3) Evaluation
Offline and live testing for quality, hallucination risk, latency, and cost per transaction.
4) Governance Sign-off
Policy checks, access controls, observability rules, and escalation paths approved.
5) Production + Optimize
Rollout plan, drift monitoring, feedback loops, and continuous prompt/model tuning.
6) Team Enablement
Playbooks, runbooks, and training for product, operations, and compliance stakeholders.
Model + Data Architecture
Implementation depth for LLM, RAG, and agents.
Model layer
- LLM copilots for support, operations, and internal knowledge.
- Agent workflows for task automation and multi-step orchestration.
- Classification and ranking models for domain-specific workflows.
Data pipeline layer
- Ingestion from APIs, file systems, and enterprise data stores.
- Chunking, embedding, indexing, and retrieval policy controls.
- Trace logging, evaluation datasets, and audit-friendly observability.
Use-Case Kits
Pre-structured launch kits by business workflow.
Support Copilot
Ticket drafting, answer suggestions, and escalation support with confidence scoring.
Knowledge Assistant
RAG-driven Q&A on policies, SOPs, manuals, and product documentation.
Operations Agent
Automated workflows for approvals, reporting, status tracking, and notifications.
FAQs
Frequently asked questions.
How quickly can Zetrixweb deliver an AI proof of concept?
Most AI PoCs are delivered in 2-6 weeks depending on data quality, integrations, and review requirements.
Which AI model types does the studio support?
We support LLM copilots, retrieval-augmented generation pipelines, workflow agents, and domain-specific classification or prediction models.
How do you manage governance and data safety?
We implement prompt and tool policies, access controls, evaluation checks, audit logs, and human approval gates for sensitive actions.
Ready to accelerate your AI roadmap?
We can scope your first 90-day AI delivery plan with measurable outcomes.