AI Integration Services
We help enterprises connect AI with their legacy systems, data, and workflows through our AI integration services so it performs reliably in real operations. Our team ensures every responsible AI model is well integrated, aligned with business goals, and ready to deliver measurable impact from day one while respecting digital sovereignty.
Why most businesses need this, not model training
Training a new model from scratch is a research undertaking — it needs a large, well-labelled dataset, specialised infrastructure, and a cost and timeline structure that looks nothing like a normal software project. Very few businesses have a problem that actually requires it. What most businesses have is a specific, well-defined task — summarise this document, draft a reply to this type of email, classify this ticket by urgency — that an existing model from OpenAI, Anthropic or Google can already do well once it is given the right context and prompt. That is integration, not training, and it is a fraction of the cost and timeline. We will tell you plainly which one your project actually needs, and it is usually this page.
This is also distinct from a standalone chatbot or agent. Integration adds an AI-powered feature inside an interface you already have — a "summarise this thread" button in your support tool, a "draft a response" suggestion in your CRM — rather than building a new conversational surface or a multistep autonomous workflow. If what you are describing is a whole new chat interface, or a system that takes actions across multiple tools on its own, start on one of those pages instead; if it is one feature bolted into an existing screen, this is the right scope.
What's included
Scoping the specific task the AI feature needs to perform, with realistic accuracy expectations set before development starts, not after
Scoping the specific task the AI feature needs to perform, with realistic accuracy expectations set before development starts, not after
API integration with the model provider best suited to the task
OpenAI, Anthropic Claude, or Google Gemini — chosen per task rather than a fixed preference
Prompt engineering and testing against real examples from your data, not generic samples
Prompt engineering and testing against real examples from your data, not generic samples
Interface work to surface the feature inside your existing product, matching your current design rather than looking bolted on
Interface work to surface the feature inside your existing product, matching your current design rather than looking bolted on
Cost controls
rate limiting, caching, and usage monitoring — since API costs scale with usage and an unmonitored integration can produce a surprising bill
Data handling review so you know exactly what information is sent to the model provider and whether that fits your privacy and compliance requirements
Data handling review so you know exactly what information is sent to the model provider and whether that fits your privacy and compliance requirements
Fallback behaviour for when the AI feature is unavailable or produces a low-confidence result, so the surrounding product keeps working
Fallback behaviour for when the AI feature is unavailable or produces a low-confidence result, so the surrounding product keeps working
A support agreement covering prompt tuning as real usage reveals edge cases
A support agreement covering prompt tuning as real usage reveals edge cases
What's not included
AI integration does not include training a new foundation model — that is a distinct research engagement outside our standard scope, and we will say so if that is genuinely what your problem requires. It does not include building a standalone chatbot interface (see AI chatbot development) or a multistep autonomous agent (see AI agent development). It does not include the ongoing API usage costs from the model provider, which are billed to you directly by OpenAI, Anthropic or Google based on your usage.
Frequently asked questions
Integration projects start at ₹1,20,000 / $1,450 and typically run 3 to 8 weeks — the least expensive and fastest of our AI services, because the scope is a single feature rather than a full conversational or agentic system. What moves the price: how much prompt tuning the task requires and how deeply the feature needs to integrate with your existing product's interface and data. Full engagement models are on the pricing page.
If you want to add one AI-powered capability inside a product you already have — summarise, draft, classify, extract — this page is the right scope. If you want a conversational interface for customers or staff to ask questions, see AI chatbot development. If you want a system that takes multistep actions across several tools with minimal supervision, see AI agent development. Most projects that start as "we want AI" turn out, after discovery, to be this page.
It depends on the task, and we choose per project rather than defaulting to one provider. Some tasks are cheaper or more accurate on one model than another, and pricing and capability both shift regularly enough that a fixed preference would be bad advice. We test your specific use case against the realistic candidates during discovery rather than assuming an answer.
It adds a variable cost tied to usage — API calls are billed by the provider based on volume — which we help you estimate realistically during scoping and control through rate limiting and caching where appropriate. For most single-feature integrations, this cost is modest relative to development cost, but we surface the estimate honestly rather than let you discover it later.
Usually, yes, as long as the legacy system has some way to expose the relevant data — a database, an API, or at minimum an export mechanism. We assess this during discovery and will tell you directly if the system's architecture makes integration significantly harder or more expensive than expected, rather than discover that mid-build.
This depends entirely on the task. Summarisation and drafting tasks tend to perform reliably well. Tasks requiring precise factual accuracy or specialised judgment need more careful scoping, testing, and often a human-review step, and we say so plainly rather than promise a blanket accuracy figure before we have tested against your real data.
How we scope and build an integration
Discovery is short relative to other AI services, because the scope is narrow by design — we confirm the specific task, the data it needs access to, and what a "good enough" result looks like, as part of the same discovery stage behind every AI development project. Build typically fits inside a single sprint to a few sprints depending on complexity, with prompt tuning tested against your real data rather than synthetic examples throughout. Launch includes usage monitoring so you can see cost and performance from day one, not discover them in next month's invoice.
Capabilities
Design and deploy agentic AI apps
We don’t just build AI models and agents. We deliver agentic apps that seamlessly integrate user experience, autonomous process execution, and AI-powered data products to drive real business outcomes.
Enterprise scale transformation
Achieve scalable impact across all areas of your business, including customer service, finance, procurement, HR, and others, with our strategic partnerships and industry-leading watsonx, while ensuring enterprise-grade AI governance, control, and value measurement from the start.
Governance by design
We embed governance throughout the AI development process, with built-in monitoring, control, and value tracking to ensure that every agentic app is safe, compliant, and measurable.
End-to-end AI execution
Transform entire processes—from generative AI to user experience to workflows and data—by using agentic apps to deliver higher automation, lower costs, and faster, smarter decisions across the full process.
Types of AI Integration Services We Provide
Our AI integration services are built to help enterprises embed intelligence across systems, data platforms, and applications without disrupting existing operations. As a leading AI Integration company, we offer multiple integration pathways designed for scale, security, and long term-performance.
