Requirement Gathering
Three to four hours with your team is all it takes to understand your business, your data, and exactly where you want AI to take you.
Generative & Agentic AI Consulting, Built on a Proven Roadmap
Most leaders know AI matters, but can't see where it fits or what it will return. NeenOpal removes that uncertainty with a structured AI assessment, then builds the AI agents, conversational analytics, and document intelligence solutions it uncovers.
An AI Assessment Built Around Your Business
The hardest part of AI is knowing where to begin. Our AI assessment turns that uncertainty into a plan built entirely around your business. A prioritised list of the use cases worth pursuing, what each will cost to run, and the return you can expect.
AI Assessment
Within two to three weeks, we deliver an evidence-based assessment of exactly where AI fits across your business and which opportunities are worth acting on first.
Growth Roadmap
You get a 12-month complete roadmap naming the best use cases for your business, and the ROI each can deliver.
AI PLATFORMS WE BUILD ON
One Connected AI Journey, From Use Case to Production
Where AI Pays Off
Two to three weeks to map where AI fits in your business, what it will cost, and what it will return; no obligation to build with us.
AI Assessment Services
See It Work
See real generative AI agents and prototypes at work in our Demo Hub, on scenarios close to your own, before you commit to building anything.
Explore Our AI Solutions
Production Ready Agents
We build the AI agents, conversational analytics, and document intelligence your assessment surfaces, harnessing RAG, orchestration, and guardrails, plus a framework to switch AI providers freely.
AI Agent Development
Safe To Deploy
Every agent's tool access is scoped with least privilege through our DevOps framework, with guardrails tuned to whether it's internal, chatbot-facing, or customer-facing. Our approach to AI governance is backed by ISO/IEC 42001 certification for AI management.
See our approach to AI governanceOutcomes Enterprise Leaders Measure Us By
$750M+
Financial Impact Delivered to Clients
85%
Reached North Star outcomes within 90 days
8X
Faster Go-to-Market With AI Acceleration
60%
Cloud cost savings across operations
What We Build
NeenOpal offers three generative & agentic AI consulting services for enterprise scenarios where AI creates the most value.
AI Agent Development
Custom AI agents built through agent harnessing: large language models, RAG, multi-agent orchestration, knowledge graphs, vector databases, and guardrails, delivered through hands-on AI agent consulting.
Conversational Analytics
Talk to your data and get charts and insights back, plus analytics on your conversations to uncover the why behind the numbers.
Document Intelligence
Turn documents and unstructured inputs into decision-ready information, from RFQ automation (turnaround cut from two days to two hours) to KYC-style checks where a person only reviews and decides.
CIOs, IT directors and CDOs who know AI matters but need a generative AI development partner with a credible plan.
Schedule a Generative AI Strategy SessionLeading the Agentic AI Conversation, With Real Systems to Show
NeenOpal's AI leads walk through agents already live in client environments: an RFQ assistant cutting quotes from two days to two hours, and a conversational analytics agent answering business questions in plain language. Real agents. Real clients. This is NeenOpal leading the AI conversation, backed by delivery.
Is Your Data and Infrastructure AI-Ready?
It comes down to what you're already running, and it breaks down into three common cases.
APIs Available
If APIs exist, we integrate with them directly, no extra engineering needed.
No APIs
If they don't, our AI can operate your existing forms and workflows directly, so integration is rarely required.
The One Hard Case
The one real exception is a desktop-only app with no browser access. Outside of that, readiness is rarely the blocker.
How We Think About AI ROI
The case for AI is the hours it gives your team back, and we can show you that math on your own numbers before you commit to anything.
Our Core Lens Is Simple
1
Where the Effort Really Goes
80 to 90% of most processes is collecting and preparing information. Only 10 to 20% is acting on it.
2
What AI Takes Off Your Plate
Generative AI automates that, leaving your people to do the part that needs judgment, like reviewing and deciding.
3
What Your Team Gets Back
Even after a small review-step overhead, you're operating at a fraction of the original effort. The same team does far more.
What About When You Need to Switch Models?
Model providers move fast. Here's how we keep you from getting stuck with one.
The Problem
Teams that build early on one model provider, often an early OpenAI GPT deployment, get stuck: the same prompt behaves differently on a newer or cheaper model, whether that's a different OpenAI model, Amazon Bedrock, or Azure OpenAI.
Our Framework
We give you a migration pipeline that lets you switch models whenever you want, as often as every couple of months. We pair every migration with a model evaluation step, so you can see how the new model performs against your own prompts before you switch.
The Result
A year-long migration effort becomes a repeatable process you own, with no re-hiring specialists each time. No starting over with a fresh prompt library each time a better or cheaper model appears.
Scalable AI Solutions, Already Live and Delivering Results
Every example below is running today, inside a real client's systems: a chatbot booking actual flights, agents turning quotes around in hours, wireframes generated from a plain-language brief. This is NeenOpal's shipped work.
AI-Powered Shop Floor Assistant: From Machine Fault to Cited Fix
Supervisors describe the fault in plain language and get an answer cited to your own SOPs. When the procedure itself is wrong, the assistant proves it and proposes the correction.
READ MORE
InsightIQ: From Business Question to Board-Ready Answer
Your dashboards show what moved, not why. InsightIQ is a conversational AI data analyst that lets executives ask questions of your database in plain English, and shows the SQL behind every number.
READ MORE
AI Analyst Agent: From Business Question to Sourced Answer in Seconds
Ask your business data a question in plain English and get a trusted, sourced answer in seconds. Deploy an AI analyst agent in a 5-day sprint.
READ MORE
Choose How You Want to Scale Generative AI with Us
Managed Team
A dedicated NeenOpal team handles your generative AI project end-to-end, from the assessment through to deployment.
Schedule a strategy session
Staff Augmentation
Add NeenOpal's AI and data-certified experts to your team, scaling capability quickly when your project demands it.
Find available experts
Architecture Review
We start with a review, then prove it with a POC, or move straight to full deployment, your call.
Request a project estimate
Generative AI Consulting FAQs
NeenOpal is a generative AI consulting company helping enterprises turn AI ambition into a measurable plan.
With an AI assessment: two to three weeks and a few hours of your time, ending in a 12-month roadmap with the solutions that fit, expected recurring AI cost, and projected ROI. No obligation to build with us.
If your system is operational and web-based, it's almost certainly ready. We integrate with your APIs where they exist; where they don't, our AI can operate your existing forms directly, so integration is rarely a blocker.
Yes. Our model-migration framework leaves you with a pipeline to move between models whenever you want, turning a year-long effort into a repeatable process.
In most processes, 80 to 90% of the work is collecting information and only 10 to 20% is acting on it. AI automates the former, so your team does far more with a light review step. That saved effort is the ROI.
A chatbot answers questions. Once it has access to tools, meaning it can take real actions like checking a system, filing a ticket, or looking up a record, it becomes an agent.
It depends on the workflow. Internal, employee-facing agents get guardrails that keep anything off-policy from going out. Customer-facing agents, like the booking assistant we built for an airline-ticketing platform, get tighter limits on exactly what the agent can and can't do. Every agent's tool access is also scoped through our DevOps framework, so a program only ever reaches the systems it's meant to.