Optrivix.ai

Optrivix.ai

AI consulting and implementation

From AI strategy to intelligent execution.

Optrivix.ai helps enterprises identify high-value AI opportunities, build intelligent agents, automate workflows, and move AI from experimentation to measurable business outcomes.

AI Consulting

Executive AI strategy, opportunity discovery, risk planning, governance models, and adoption roadmaps.

AI Consulting

Executive AI strategy, opportunity discovery, risk planning, governance models, and adoption roadmaps.

Agentic AI Development

Autonomous workflows that reason, use tools, coordinate tasks, and execute with measurable safeguards.

Agentic AI Development

Autonomous workflows that reason, use tools, coordinate tasks, and execute with measurable safeguards.

Custom AI Agents

Role-specific agents for research, sales, support, operations, finance, knowledge work, and internal teams.

Custom AI Agents

Role-specific agents for research, sales, support, operations, finance, knowledge work, and internal teams.

RAG Solutions

Reliable retrieval systems that connect private knowledge, vector databases, evaluation, and secure access.

RAG Solutions

Reliable retrieval systems that connect private knowledge, vector databases, evaluation, and secure access.

Generative AI

LLM applications, copilots, content workflows, model integrations, and multimodal product experiences.

Generative AI

LLM applications, copilots, content workflows, model integrations, and multimodal product experiences.

AI Enablement

Workshops, operating playbooks, prompt systems, evaluation practices, and internal adoption programs.

AI Enablement

Workshops, operating playbooks, prompt systems, evaluation practices, and internal adoption programs.

Why Choose Us

Enterprise-grade execution without AI theater.

Enterprise-grade execution without AI theater.

Optrivix.ai focuses on production reliability: data quality, controls, observability, adoption, and measurable business outcomes. We design for what happens after the prototype demo.

01 / Strategy and engineering in one team

02 / Guardrails, evaluation, and observability by default

03 / Vendor-neutral model and architecture recommendations

04 / Practical adoption plans for real enterprise teams

04 / Practical adoption plans for real enterprise teams

Process

A clear path from discovery to production AI.

01

Discover

Map use cases, data readiness, workflows, risks, and measurable outcomes.

01

Discover

Map use cases, data readiness, workflows, risks, and measurable outcomes.

02

Design

Define architecture, model strategy, guardrails, UX, evaluation, and rollout plan.

02

Design

Define architecture, model strategy, guardrails, UX, evaluation, and rollout plan.

03

Build

Develop RAG pipelines, agents, integrations, monitoring, and secure interfaces.

03

Build

Develop RAG pipelines, agents, integrations, monitoring, and secure interfaces.

04

Scale

Launch pilots, measure adoption, refine evaluations, and expand safely.

04

Scale

Launch pilots, measure adoption, refine evaluations, and expand safely.

Agentic AI for enterprise transformation

Build AI systems that think, retrieve, and act.

Build AI systems that think, retrieve, and act.

Optrivix.ai partners with leadership teams to design AI strategy, develop autonomous agents, modernize knowledge retrieval, and launch reliable generative AI products.

Optrivix.ai partners with leadership teams to design AI strategy, develop autonomous agents, modernize knowledge retrieval, and launch reliable generative AI products.

90-day AI roadmaps

Production-grade RAG

Agent workflows

Optrivix Agent OS

Live orchestration

Multi-agent reasoning layer

Retrieve

Reason

Act

Industries

Built for complex, regulated, high-volume environments.

Financial Services

Healthcare

Retail & Commerce

Manufacturing

Logistics

B2B SaaS

Public Sector

Enterprise Ops

FAQ

Questions teams ask before building with AI.

What types of companies does Optrivix.ai work with?

Can you build custom AI agents for our internal tools?

How do you make RAG answers reliable?

Do you help with AI governance and risk?

How quickly can we start?

Book a Free Consultation

Let’s identify the AI workflows worth building first.

Let’s identify the AI workflows worth building first.

Share your goals, current tools, and operational bottlenecks. We’ll help define a practical AI opportunity map and recommend the fastest responsible path to implementation.

✓ AI readiness and opportunity assessment

✓ Agentic workflow and RAG architecture recommendations

✓ Pilot roadmap with risks, dependencies, and timeline

Case Studies

Practical AI outcomes, framed for enterprise reality.

Customer Operations

Support agent triage across knowledge, CRM, and ticketing.

Reduced manual routing and improved first-response consistency with a guarded retrieval and escalation workflow.

Knowledge Management

Private RAG platform for policies, research, and client documents.

Improved retrieval accuracy with source-grounded responses, metadata filters, and continuous answer evaluation.

AI Product Build

Generative AI copilot for internal analysis and reporting.

Enabled teams to generate drafts, summarize data, and produce repeatable reports with approval controls.

Testimonials

Trusted guidance for teams moving beyond pilots.

Optrivix translated our AI ambition into an executable roadmap our legal, product, and engineering teams could all trust.

VP of Product, enterprise SaaS

Optrivix translated our AI ambition into an executable roadmap our legal, product, and engineering teams could all trust.

VP of Product, enterprise SaaS

Their agent architecture work helped us automate high-volume internal workflows without losing governance or traceability.

COO, logistics network

Their agent architecture work helped us automate high-volume internal workflows without losing governance or traceability.

COO, logistics network

The RAG evaluation framework gave our leadership confidence that answers were grounded, explainable, and improving over time.

Chief Data Officer, financial services

The RAG evaluation framework gave our leadership confidence that answers were grounded, explainable, and improving over time.

Chief Data Officer, financial services