AI integration & automation
We add AI where it genuinely helps — reading documents, sorting requests, drafting replies and answering questions from your own data — and keep people in control of the decisions that matter.
Where it hurts today
Most businesses have tried a chatbot or two. The value comes from connecting AI to real work — reliably, safely and at a cost that makes sense.
Invoices, purchase orders, forms and emails are read and typed in by hand.
How we solve it
AI extracts the fields you need, validates them against your data and sends low-confidence cases for review.
Support emails, enquiries and internal requests are triaged manually before anyone can act.
How we solve it
Classification and routing by intent, urgency and topic, with a person able to override.
Staff ask colleagues the same questions about policies, products and procedures every day.
How we solve it
An assistant that answers from your approved documents, cites its sources and says when it doesn't know.
Demos look impressive but accuracy, cost and security weren't designed for real use.
How we solve it
A measured pilot with an evaluation set, accuracy targets and cost limits before anything goes live.
Teams are unsure what data goes where, who can see it, and what the AI is allowed to do.
How we solve it
Role-based access, logging, data-handling rules and approval steps before any high-impact action.
What we build
We combine AI with ordinary automation and software. Often the best answer is mostly rules, with AI only for the step that needs judgement.
Invoices, POs, forms and IDs read into structured data, with validation.
Emails, tickets and enquiries sorted by intent, priority and owner.
Answers from approved documents and systems, with source references.
Call notes, long threads and reports summarised; replies drafted for review.
Assistants that take defined actions in your systems — within limits you set.
Review queues for low-confidence or high-impact outputs.
Permission-aware retrieval, redaction and full audit logs.
Accuracy tests, usage tracking and cost limits per workflow.
Connected to your ERP, CRM, email, WhatsApp and document stores.
What it can look like
A conceptual document-AI screen: fields extracted from a vendor invoice with confidence levels. The uncertain field is flagged for a person to check before posting.
High-confidence fields pass; uncertain ones are flagged.
Nothing posts to accounts until a reviewer confirms it.
What was extracted, changed and approved is recorded.
What changes for the business
Documents become structured data without re-typing.
Requests reach the right person without a sorting step.
Staff get the same, sourced answer to the same question.
Routine cases flow through; unusual ones get attention.
Approval steps and logs on anything that matters.
Usage is measured and capped per workflow.
Typical scenarios
Use cases where AI adds clear value — each with a person in control.
Accounts payable
Customer support
Operations & HR
Illustrative scenarios based on common requirements — not client case studies.
Engineering
We choose models per task, evaluate them on your own sample data before rollout, and keep business rules, permissions and approvals in ordinary, testable code around the model. Prompts, outputs and costs are logged for review.
AI is only useful when it can read from and write to your real systems — safely.
Integration feasibility depends on each provider's API access and your account plan. We confirm every integration during discovery.
How we work
You always know what is being built, what it costs and what you will receive next.
We identify where AI genuinely helps — and where plain automation is better — and collect real sample data.
You receive
Define accuracy targets, review steps, permissions and cost limits before building.
You receive
Build the pilot against your systems and measure it on held-out examples.
You receive
Go live for a group of users with monitoring, logging and feedback capture.
You receive
Review accuracy and cost regularly, improve with feedback and extend to the next use case.
You receive
Investment
₹2,00,000
A measured pilot of one AI workflow — connected to your systems, with review steps and evaluation — sits at the starting point. AI model usage is billed separately by the provider.
Request a Tailored ProposalAI workflow pilot
One use case, integration with your system, human review step, evaluation report.
₹2L – ₹4L
Production AI workflows
Several workflows or an assistant on your data, with access control and monitoring.
₹4L – ₹10L
AI programme
Multiple departments, agents with defined actions, private hosting and governance.
₹10L+
Ranges are indicative and exclude third-party licences, hosting and taxes. A fixed quotation follows discovery, once scope is agreed in writing.
Case studies
We publish client work only with written approval.
Many of the systems we build run a company's internal operations, so details stay private by default. During discovery we walk you through relevant work — screens, architecture and how it was delivered — where our agreements allow.
Questions
Straight answers to what buyers usually ask first.
A measured pilot of one AI workflow starts from ₹2 lakh. Production workflows or a knowledge assistant typically range from ₹4 lakh to ₹10 lakh. Model usage fees are billed by the AI provider and estimated during the pilot.
We use provider settings and agreements that do not use your data for model training where providers offer them, and we can use private or self-hosted models when your data requires it. Data handling is agreed before build.
That depends on the task and your data, which is why we measure it. Every pilot is evaluated on your own examples against agreed targets, and low-confidence outputs go to a person.
Not always. Many workflows are better served by rules and integrations. We'll recommend AI only for the steps where it adds clear value.
Only those you define, with the permissions you grant. High-impact actions require human approval, and every action is logged.
A focused pilot typically runs over a few weeks from data collection to evaluation, depending on access to sample data and systems.
Try these before you talk to anyone — no sign-up, and most run entirely in your browser.
Tell us which documents, requests or questions take your team the most time. We'll tell you honestly whether AI is the right tool.
Prefer email? Use our contact page.