The Dawn of AI
by Vijaya Balaji, Principal Founder and Nayanika Rungta, Senior Consultant
AI came quietly one day without making a dramatic entry into our workplace. The world woke up the day Open AI made its announcement, and it was a matter of hours before everyone took a shot at it.
Reluctant Beginnings
As a boutique organisation, we worked with less-than-perfect systems. To overcome these challenges, we constantly sought ways to drive efficiency and effectiveness within our hybrid team. What started with a bit of trepidation soon saw us taking rapid strides as we leveraged AI. Overnight, everything changed.
We began modestly, using AI for simple tasks that improved our efficiency and reduced our all-important turnaround time. For instance, we used AI-powered tools to automate data entry and streamline client communications, which significantly reduced our turnaround time. This allowed us to confidently take on more aggressive deadlines for our client mandates.
We learned many lessons.
Retaining our authenticity was imperative. Ensuring we did not dilute our originality of thought was essential to maintaining the organisation’s value proposition and business practices. For example: we prioritised ideas that introduced new perspectives rather than repeating established methods”. Intuitively, we soon learned to sift through any work that lacked originality and made sure only genuinely original contributions were recognised and used.
Creeping Steadily
The initial use of AI opened new possibilities for us. Through trial and error, we learned how to assign tasks to AI and keep pace with the information explosion. We explored over 100 resources on how to prompt AI effectively. As our skills improved, we discovered more ways to leverage its capabilities. We were fascinated by the speed at which AI could outpace us, but this rapid progress also brought a sense of fear.
For instance, when we used AI to analyse large datasets in minutes—a task that previously took us days—we were amazed by its efficiency but also concerned about our ability to keep up as it paced out. Learning was fascinating.
Embedding Thoughtfully
After more than eight months, we have made considerable progress in thoughtfully integrating AI into both our internal operations and client-facing tasks. This experience has revealed new ways to reimagine how our enterprise operates in the age of AI, and how we can thoughtfully leverage these technologies.
Recognising that systems, data, technology, and AI can be powerful allies enables organisational leaders to redefine behaviours, boost productivity, and reexamine how we retain our culture and values.
As a social impact organisation, our practice is grounded in strong values, local insights, and first-hand research. For example, by automating our data analysis process with AI tools, we have reduced reporting time by 30% and gained deeper insights into our programme outcomes.
As our use of AI deepened, the question shifted from what can AI do to what should we ask of it. Over time, we learnt that thoughtful integration requires restraint as much as experimentation. Not every task needed automation, and not every output deserved acceptance. We began building internal norms—where AI-supported work was treated as a first draft, not a finished product, and human judgement remained central to synthesis, interpretation, and decision-making.
This phase forced us to sharpen our thinking. Review cycles became more rigorous. The bar for clarity and originality rose.
AI helped us work faster, but it also made visible the difference between surface-level responses and genuinely considered insight. In this way, technology became less of a shortcut and more of mirror—reflecting the quality of questions we asked and the discipline we brought to our work.
AI as a Core Agent for Enterprise Transformation
We are now exploring and undertaking AI as a core agent in enterprise transformation—not as a discrete intervention, but as part of how organisations evolve their systems, behaviours, and ways of working. In our experience, the most meaningful shifts do not come from automating tasks alone, but from how AI reshapes organisational rhythms: how insights are generated, how decisions are prepared, and how work flows across teams.
As AI becomes embedded, it surfaces structural questions that organisations can no longer defer—around data readiness, process clarity, accountability, and decision rights. It accelerates work, but it also exposes gaps: in systems, in alignment, and in shared understanding. Engaging with AI at this level therefore requires more than technical adoption; it demands organisational intent.
Approached thoughtfully, AI can act as a catalyst for coherence—helping enterprises move from individual efficiency to system-level effectiveness. This is where we see its role in transformation: not as a driver of change on its own, but as a force that compels organisations to strengthen how they learn, decide, and adapt.
Mindfully Moving Forward
As we move forward, the focus remains on using AI with care, clarity, and purpose. The question is no longer whether organisations will adopt AI, but how they do so without losing judgement, context, and values. For organisations working in complex and human-centred environments, this balance is especially critical.
Mindfully moving forward means recognising that while AI can enhance speed and scale, responsibility for interpretation and decision-making remains human. It requires setting boundaries around use, building internal capacity to question and validate outputs, and ensuring that technology reinforces—not replaces—organisational culture and accountability. In an age of accelerating intelligence, we believe sustainable enterprise transformation will continue to rest on discernment: the ability to choose not just what is possible, but what is appropriate.
Social Lens is a for-purpose consulting practice founded in 2016 in Mumbai. We partner with changemaking organisations and philanthropic capital providers to design robust systems, build institutional capacity, and create measurable, lasting impact.
To know more about our work -
Website : https://www.slens.co/
LinkedIn : https://www.linkedin.com/company/sociallens/