AI development and automation, grounded in your data - not the hype.
Intention InfoService builds applied AI that earns its place: AI chatbots and assistants trained on your own content, AI workflow automation, and AI features built into your existing site or app. Grounded in your data, with guardrails and human oversight, on mainstream models - and you own the code, the prompts and the data. For startups, SMBs and enterprises across the US, UK, UAE, Europe and India.
We scope it to your requirement and give you a fixed quote before any build. NDA on request.
- Your data isn't used to train models
- You own the code, prompts & data
- Grounded, with human oversight
At a glance
- We build
- Chatbots, assistants, automation & AI features
- Models
- Model-agnostic - Claude, GPT, open models
- Pricing
- Scoped to your requirement, fixed quote
- Serves
- US, UK, UAE, EU & India
Applied AI, scoped to a real job
Not a magic brain - AI aimed at a specific task, grounded in your data, and built into your workflow. Three things we build:
AI chatbots & assistants
Trained on your own content (RAG), so answers come from your docs - not guesses.
- Customer-support chatbot on your knowledge base
- Internal staff assistant over your docs and wikis
- Chat with your documents - RAG search
- Conversational lead qualification and intake
AI workflow automation
AI that doesn't just answer - it reads, classifies, drafts, routes and summarizes across your tools.
- Triage and route incoming messages or tickets
- Extract structured data from documents
- Draft, summarize and repurpose content
- Connect the tools you already use
Embedded AI features
AI dropped into a product you already run, or one we build for you.
- Semantic search across your content
- In-product summarization and drafting
- Recommendations and smart suggestions
- In-app copilots and assistants
Where AI development fits
We add the intelligence layer. Need the underlying system, SaaS or API first? Custom software builds it; we add the AI. Adding AI to a new website or web app or a mobile app? We build the product there and add the AI here. Want AI to lift your search visibility and get you cited in AI answers? That's digital marketing, not this page. And we don't train foundation models or do ML research - we build practical AI on proven, mainstream models.
You don't have to trust it. You get to test it.
Because AI results depend entirely on your data, we don't ask you to take our word for it. We prove it on a small pilot first, then build the full thing only once you've seen it work.
Diagnose
week oneWe map the task, your data and whether AI is even the right tool - and we'll tell you honestly if it isn't.
Pilot
a short sprintA working proof-of-concept on your own data, so you see it work before committing - ending in a go/no-go and a scoped quote.
Build
weeksWe build the full feature with grounding, guardrails and evaluation, integrated into your site, app or tools.
Support
ongoingWe monitor, evaluate and improve it as your content and the models evolve - optional and month-to-month.
Grounded, guarded, and evaluated
Most AI projects that fail, fail on the engineering, not the model - hallucination, weak retrieval, no evaluation, no oversight. Here's what we do so yours holds up in production.
Grounded in your data (RAG)
The assistant answers from your approved documents using retrieval-augmented generation, so it doesn't invent things it doesn't know.
Guardrails against hallucination
Retrieval quality, grounding and refusal behaviour, so it says 'I don't know' instead of confidently making something up.
Evaluated before it ships
We test answer quality against a real set of your questions before launch - not prompt-and-pray, then hope.
Human-in-the-loop
For anything consequential, the AI drafts or suggests and a human approves, with clear override and escalation paths.
The right model for the job
Model-agnostic by design - Claude, GPT or capable open models, chosen for your task, budget and data sensitivity. Swappable as the market moves.
Private by default
Your data isn't used to train anyone's model - we build on enterprise and API tiers that exclude business data from training. Self-hosting where sensitivity demands it.
No demo to dazzle you. A better offer instead.
We're a growing AI practice, and this category is full of slick demos and inflated accuracy claims. We'll do the opposite: prove it on your data, put the guarantees in writing, and be honest about what AI can and can't do.
We prove it on your data first
AI results depend entirely on your content, so a past demo tells you little. Instead we build a small, working proof-of-concept on your own data, for a scoped fixed price, ending in a clear go/no-go and a fixed quote for the full build. You judge the real output before you commit - the proof is made for you, not borrowed from someone else.
- On your own content
- Scoped, fixed-price pilot
- A go/no-go you control
- A fixed quote for the build
You own everything
The code, the prompts, the data and the IP transfer to you on final payment. Full stop.
Your data isn't used to train models
We build on enterprise and API tiers that exclude your business data from model training. We can put it in writing.
No lock-in
Mainstream models and open frameworks, so you're never trapped - the underlying model can be swapped as the market shifts.
NDA on request
Before you share anything sensitive. Your idea and data stay confidential from the first conversation.
We'll tell you when AI isn't the answer
Sometimes a simple rule-based automation or a better search box is smarter and cheaper. We'll say so, not upsell you a model.
AI lives inside real software
AI features don't float in space - they live in production systems, which is what we build. See our software work.
How we scope and price it
AI work is scoped to your requirement, so we don't sell a one-size package or hide behind a quote wall. After a short discovery or pilot, you get a fixed quote before any build, billed against milestones - never open-ended hourly. You always see the number, and what you own, before you commit.
Grounded AI, not AI theatre
Hype vendors sell you a demo and a promise. Cheap shops skip the engineering and it breaks in production. Here's where a grounded, accountable, you-own-it approach sits.
| Hype-driven AI agency | Prompt-and-pray shop | Intention InfoService | |
|---|---|---|---|
| Proof before you commit | A slick demo on someone else's data | Screenshots, maybe | A pilot on YOUR data first |
| Grounding | 'Trust the model' | No RAG - it guesses | RAG, grounded in your content |
| Evaluation | '99% accurate' (unverified) | None - prompt and pray | Tested on your questions before launch |
| Your data & training | Unclear | Often used to train | Never used to train models |
| Ownership | Their platform | Murky | You own code, prompts & data |
| Lock-in | Their stack | One person, key risk | Mainstream models, swappable |
| Honesty | AI for everything | Whatever you ask for | We'll tell you when AI isn't the answer |
The short version: AI you can test on your own data before you pay for the build, grounded so it doesn't make things up, private, and fully yours to own.
AI development, answered honestly
What is an AI chatbot for business, and what can it do?
An AI chatbot for business is an assistant that answers questions and takes simple actions using your own content and tools. Done well, it can handle customer support from your knowledge base, help staff find answers in internal docs, qualify leads, or pull information out of documents - grounded in your data so it stays accurate and on-brand.
What is RAG (retrieval-augmented generation), and why does it matter?
RAG means the AI retrieves relevant passages from your own approved content and answers from those, instead of relying only on what a general model happens to know. It matters because it keeps answers grounded in your facts, cuts down hallucination, and lets the assistant cite where an answer came from. It's how we make a chatbot trustworthy on your data.
What is the difference between an AI chatbot and an AI agent?
A chatbot mostly answers questions. An AI agent goes further and takes actions across your tools - drafting, filing, updating records, triggering workflows. Agents are more powerful but also more complex and more expensive per task, so the honest answer is that many businesses need a good grounded chatbot or a focused automation, not a full autonomous agent.
Do I need an AI agent, or just a chatbot?
Often, just a well-built chatbot or a focused automation. Agents that act autonomously across systems earn their cost only when the workflow genuinely needs multi-step actions. We'll scope it to what your task actually requires rather than sell you the most expensive option - sometimes the simpler build is the smarter one.
How do you stop an AI chatbot from hallucinating or making things up?
We ground it in your data with RAG so it answers from your content, tune retrieval quality, add guardrails and refusal behaviour so it says 'I don't know' rather than guessing, and evaluate answers against a real set of your questions before launch. For anything consequential, a human reviews. Hallucination is an engineering problem, and that's how we manage it.
Is my data safe, and how do you keep it secure?
Your data stays yours and is handled with least-privilege access and sensible retention. Where data is sensitive, we can self-host or keep it inside your own environment. We sign an NDA on request, before you share anything. Security and privacy are designed in, not bolted on.
Will my data be used to train the AI model?
No. We build on enterprise and API tiers of the major model providers, which exclude your business data from training by default - unlike consumer AI plans, which often do train on what you type. It's a distinction most buyers don't know exists, and we keep you on the safe side of it. We can put it in writing.
Do I own the AI you build - the code, prompts and data?
Yes, fully - the code, the prompts, and your data transfer to you on final payment, with no lock-in. We build on mainstream models and open frameworks, so you can take it to any team and swap the underlying model as the market changes. You are never trapped with us.
Which AI model do you use - Claude, GPT or open models?
We're model-agnostic and pick the right one for the job, your budget and your data sensitivity - Claude, GPT, or capable open-weight models you can self-host. Because it's swappable, you're not betting your product on one vendor, and we can move to a better or cheaper model as they arrive.
What can AI automation do for my business?
Practical, grounded automation: triaging and routing incoming messages, extracting structured data from documents, drafting and summarizing content, and connecting the tools you already use so work moves without manual copying. We aim it at a specific, repetitive task where it clearly saves time - not vague 'transformation'.
How much does it cost to build an AI chatbot or add AI to my app?
AI work is scoped to your requirement, so we don't sell a one-size package or hide behind a quote wall. We start with a short discovery or a small pilot on your data, then give you a fixed quote before any build, billed against milestones. You always see the number, and what you own, before you commit.
How long does it take to build an AI chatbot or AI feature?
Weeks, not months, for most focused builds. We usually start with a short pilot so you see it working on your data quickly, then build the full feature once you've approved it. The exact timeline depends on scope, integrations and how clean your content is, and you get a real one after discovery.
Can you add AI features to my existing website or app?
Yes - embedding AI into something you already run is one of the main things we do: semantic search, summarization, recommendations, or an in-product assistant, wired into your existing site, app or tools. If you also need the product built, we can build it and add the AI in one go.
When is AI not the right solution for my problem?
When a simple rule-based automation, a better search box, or fixing a process would solve it more reliably and cheaply. AI is powerful but it isn't the answer to everything, and it adds cost and complexity. If that's your situation, we'll tell you honestly and point you to the better fix - even if it's a smaller job for us.
Have an AI idea worth testing?
Book a discovery call, or start with a small pilot on your own data - see it work before you commit to the build. You own everything, and we'll tell you honestly if AI isn't the answer.

