Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots. 
The Hyderabad-based AI transformation company says the OpenAI partnership changes how deeply and quickly its engineers can work with teams building the underlying technology.
For KnackLabs, however, the partnership is less about the designation itself and more about what it can deliver for customers.
“The badge is only a start. The value has to come from what we build and ship,” Kartik Bansal, Founder and CEO, KnackLabs, tells CRN India.
The company has over nine years of experience delivering AI solutions and says it has shipped over 15 billion conversations. Its OpenAI Select Partner appointment is part of the OpenAI Partner Network, through which partners build, sell and deliver AI solutions using OpenAI technologies.
For KnackLabs, the immediate opportunity is to help enterprises move beyond standalone AI pilots and deploy systems that operate within existing business processes.
Bansal says the nature of enterprise AI demand has changed over the past year.
“A year ago, most briefs were for a chatbot over internal documents. Today, customers want agents that act inside the systems they already run,” he says.
That shift is visible across the company’s work in manufacturing, mining and procurement-heavy environments, where customers are dealing with high-volume, rules-heavy processes that still depend heavily on spreadsheets, documents, inboxes and manual decision-making.
One example is KnackLabs’ Tender Agent for Manipal Technologies. The system monitors over 300 government, PSU and enterprise portals, ranks tenders based on fit, extracts eligibility criteria from RFPs, drafts initial response material and checks mandatory documentation before submission.
In mining, its MineOps platform for MineGate and Sainik Mining addresses production, fleet, fuel, safety and statutory compliance requirements.
Before the deployment, roughly three-quarters of the operational processes were being managed through spreadsheets and paper, while SAP handled finance.
The company says “customers are now asking for agents that can take action within enterprise systems” rather than simply answer questions. That can include raising a purchase requisition in SAP or updating a maintenance ticket.
The expectations around measurement have also changed. Customers want approval checkpoints and audit trails from the beginning of a project, while asking which business metric the deployment will affect, whether that is cycle time, cost per bid or engineering hours saved.
For KnackLabs, the harder part of enterprise AI is no longer demonstrating that a model can perform a task. It is making the resulting system reliable enough to operate within a customer’s existing environment.
Bansal says deployments typically begin with a specific business bottleneck. KnackLabs’ engineers then work with the customer to understand the workflow and build around its existing data and tools.
The challenges emerge when a system moves into production, including integration with legacy applications, handling edge cases, establishing evaluation mechanisms, managing permissions and determining where human approval needs to remain in the process.
That is where the OpenAI relationship is expected to have a practical impact, according to KnackLabs.
Its engineers can work more closely with OpenAI teams on problems at the edge of what the models can do, which the company says can reduce the time spent working around model-level limitations.
KnackLabs’ VP of Engineering Ravi Kiran Vemula says the relationship gives engineers a more direct line to OpenAI engineering teams when deployments encounter difficult technical problems.
The company says this access is particularly relevant as enterprise customers expect AI systems to operate reliably within production environments rather than remain as proofs of concept.
KnackLabs is taking the same production focus into its planned UAE expansion, where it will initially operate with a small senior team on the ground and target a handful of anchor accounts in manufacturing, mining and procurement-heavy enterprises.
The company plans to use Forward Deployed Engineers in customer markets, while keeping its core engineering operation anchored in its 90-member Hyderabad team. Bansal and Vemula will oversee customer engagements.
KnackLabs says its UAE approach will be direct-led, but it will work with local partners where market requirements make that necessary.
This is particularly relevant for government and semi-government organisations that may procure through approved local vendors or require in-country data hosting. In such cases, KnackLabs says it will work alongside regional SIs and cloud providers rather than compete with them.
The approach also reflects a broader change in how the company views partnerships.
Bansal says KnackLabs does not intend to build a large partner network simply to increase distribution.
It plans to “work selectively with SIs, technology companies, cloud partners and regional players” where combining capabilities can help get customer systems into production faster.
The company already has experience supporting customers across markets, including a dedicated StarHub team in Singapore that has been operating for two years, as well as deployments for Ola across India, Australia, New Zealand and the UK.
For its Middle East expansion, KnackLabs expects engineering to remain centred in India while customer-facing resources operate closer to the market. The UAE’s time zone, around 1.5 hours behind India, also allows the Hyderabad engineering team to support customer operations during the same working day.
KnackLabs says its first 18 months in the region will be measured by production deployments rather than the number of pilots signed.
That also defines the role it expects partners to play as the company expands. Rather than adding partners primarily for reach, it is looking for relationships that provide customer access, local market capability or additional delivery strength where KnackLabs cannot operate directly.
