Frequently asked questions

DeployProAI is the trading name of Deploypro Technologies Private Limited, a company based in Mumbai, India. It helps organisations deliver AI into production through engineering engagements, upskilling programmes and its Agentic Accelerators.

For details, please see About DeployProAI.

Before an engagement begins, DeployProAI measures how your process performs today and agrees a target with you in writing. We then track progress against your own data. If we do not meet the agreed target, we will continue working at no additional cost until we do. The guarantee applies to every engagement in which we build AI agents into your process.

For details, please see AI Engineering.

DeployProAI’s pricing depends on the type of work:

• AI Engineering: priced per engagement, against the target we agree with you. Ongoing support is priced by the number of days per month.
• Upskilling for companies: a fixed fee per pilot, with package pricing for larger programmes.
• Programmes for universities: priced per group of participants.
• SupportSight and Rehearse: a one-time set-up fee, plus an annual licence based on the number of mailboxes (SupportSight) or sales representatives (Rehearse).

Every proposal states the scope and the price before any work begins. If you tell us about your process and your team, we will send you a price range within one working day.

For details, please see How we price.

A DeployProAI engineering readiness assessment takes three to six weeks. A company upskilling pilot takes two to four weeks for one or two teams. Student programmes run for 8 to 64 hours, and the faculty programme runs for six days over two to three weeks.

In a 30-minute call, DeployProAI learns how your process works today and recommends what would help you most: an advisor, an embedded team of our engineers, or a readiness assessment.

In that case, DeployProAI will tell you so. We assess each step of your process and use AI only where it is reliable. A 30-minute call or a readiness assessment will establish whether AI is suitable before you make any commitment.

For details, please see the AI readiness assessment.

Yes. DeployProAI signs a non-disclosure agreement (NDA) before the first call, so that you can speak openly about your code, your plans and your business.

No. DeployProAI works within your own code repositories, systems and cloud accounts, and follows your security policies. DeployProAI’s Agentic Accelerators are installed in your own cloud account or on your own servers. During training, teams use the AI tools your organisation has approved, and any data is anonymised where required.

Yes. With DeployProAI, you choose the AI model. It can be a hosted model, or one that runs entirely on your own servers, in which case no data leaves your organisation. SupportSight can run entirely on models hosted on your own servers. Rehearse processes calls in India, on AWS in Mumbai and on Sarvam.

You do. Everything DeployProAI produces for you during an engagement belongs to you, including the code, the documentation and the plans. SupportSight and Rehearse, two of DeployProAI’s Agentic Accelerators, are provided under an annual licence.

DeployProAI measures your process before work begins and again at the end, using the measures your business already tracks.

• Software teams: the industry-standard DORA, SPACE and DevEx measures of delivery speed, quality and developer experience.
• Business teams: time taken, turnaround and quality.

The method and the raw figures are available under NDA.

For details, please see the G.U.I.D.E. method.

A person reviews its work. Every agent DeployProAI builds is tested before release, operates within defined limits and keeps a record of its actions. Any work it is uncertain about is passed to a person, together with its reasoning. No stage proceeds without a person’s approval.

No. DeployProAI trains technology teams, business teams and entire organisations, including operations, HR, finance, compliance, marketing, customer support and business analysis. Each team works on its own tasks, using the tools it already uses.

For details, please see AI Upskilling.

Yes. In DeployProAI programmes, teams work on their own tasks, documents, processes and code. Technology teams may work in their own code repositories, and business teams require no technical skills.

DeployProAI uses the AI tools your organisation has already approved, such as ChatGPT, Claude, Gemini, Microsoft Copilot, Kiro, Amazon Q and Cursor.

In DeployProAI student programmes, students build with more than 80 AI tools used in industry, including:

• AI coding tools: Claude, Cursor, GitHub Copilot, Kiro and Google Antigravity
• AI models: OpenAI, Gemini and Hugging Face
• Frameworks for building AI agents: LangChain, LangGraph, CrewAI and MCP
• Cloud platforms: AWS, Amazon Bedrock, Google Cloud and Microsoft Azure

For the complete list, please see the tools section on the students page.

DeployProAI’s company workshops include up to 24 weeks of follow-up support. The faculty programme includes one year of support, and student programmes include weekly office hours for up to 60 days.

Yes. DeployProAI runs programmes for engineering students, management students and faculty. Engineering students build and launch a working product; management students build their own AI agents and no-code workflows (Agentic AI for Management Students); every student receives a certificate co-branded with their institution. The faculty programme is designed to be eligible as an AICTE Faculty Development Programme, and its outputs can be reported in NAAC and NBA submissions.

For details, please see For engineering students, For management students and For faculty.

DeployProAI’s Agentic Accelerators are working AI agents that are configured to your data, tools and constraints, so that you start from a working system. You bring one workflow that is slow, manual or hard to measure, and you see what it takes, how it behaves and what it improves before committing further. They cover five areas:

• Customer conversations: voice and email agents that resolve routine queries and track what is still waiting.
• Software delivery: agents for code migration, test generation, code review and documentation.
• Business processes: agents for document processing, reporting and analytics, and compliance checks.
• Marketing and growth: agents for lead research and outreach, and for content production.
• SupportSight and Rehearse: SupportSight gives every customer email thread an owner and a reply target; Rehearse lets sales teams practise with a voice AI that plays the prospect.

For details, please see AI Agents.

Three examples from DeployProAI’s case studies:

• Taurus BPO: a QA Intelligence platform, in production, that raised call quality from 50% to 80.1% in three quarters.
• Wenodo: SupportSight, in production across more than 25 shared and personal mailboxes, which brought unseen customer emails down to zero from one to three days of silent delay.
• A large Indian health insurer: Rehearse, the voice AI sales coach, in a production pilot.

For details, please see Taurus BPO, Wenodo and the health insurer.

Chatbots and IVR systems route or deflect a request, and RPA follows predefined steps. A DeployProAI agent decides what to do from the context of each case: it understands the request, acts on it and completes the task where possible. It brings in a person only when a case needs judgement, an exception or an approval.

No. DeployProAI’s agents work with the systems you already run, including your CRM, telephony, email, document platforms, code repositories and delivery pipelines. They sit on top of your current tools and use your data and workflows.

DeployProAI’s agents take on the repetitive parts of the work, so that your team can handle more without adding headcount. People continue to handle judgement, exceptions and approvals, and in software teams, developers still define the architecture and make the decisions.

DeployProAI’s agents operate within your environment, using your APIs, permissions and identity systems. Every action is logged, evaluated and governed, with defined routes for escalating to a person. You can trace what happened, why it happened and where a person stepped in. DeployProAI designs its agents to help you meet the regulations and security standards that apply to your organisation, including:

• Data protection: the EU General Data Protection Regulation (GDPR), the UK GDPR and India’s Digital Personal Data Protection Act, 2023.
• AI laws in Europe: the EU AI Act and the Council of Europe Framework Convention on Artificial Intelligence.
• AI laws in Asia: South Korea’s AI Basic Act, Japan’s AI Promotion Act, and China’s rules for generative AI services and for labelling AI-generated content.
• AI in the United States: the NIST AI Risk Management Framework and state AI laws such as the Colorado AI Act.
• Financial services: the Reserve Bank of India’s FREE-AI framework (Framework for Responsible and Ethical Enablement of Artificial Intelligence), and PCI DSS for payment card data.
• Application security: the OWASP Top 10, the OWASP Top 10 for Large Language Model Applications and the OWASP Top 10 for Agentic Applications.

Which of these apply depends on your industry and the regions in which you operate.

For a business process, DeployProAI starts with one focused use case and builds it in a controlled setup within a few weeks. Once it has proved itself, it is extended to similar processes. SupportSight is scoped with you once you tell us how many mailboxes it should cover and where they are hosted.

DeployProAI’s voice agents support English, Hindi, Tamil and other Indian languages, including the mix of languages callers use within a single sentence. They can also be configured for French, Spanish and other languages. Rehearse currently supports English, Hindi and Tamil, with other languages on request.

When a case needs judgement, exception handling or approval, DeployProAI’s voice agent transfers the call to a person with the full context, so that the customer does not have to repeat anything.

DeployProAI’s business process agents handle claims, invoices, KYC files, forms, emails and system-generated records. Anything that arrives as part of a back-office process can be read, classified and routed, and every decision is checked against your rules and recorded.

Only with checks, which is why DeployProAI builds testing, review and validation into the same system. Code is merged only when it passes the agreed test coverage and review criteria, and every change leaves a traceable record.

Yes. Your brand voice and messaging guidelines are built into DeployProAI’s marketing agents. Content and outreach follow defined guardrails, with review where required.

No. SupportSight and Rehearse, two of DeployProAI’s Agentic Accelerators, are both installed in your own cloud account or on your own servers. SupportSight never stores the text of your emails, and Rehearse processes calls in India.

For details, please see SupportSight and Rehearse.