Build the AI foundation around the team
Agent frameworks are not a substitute for product judgment. They are part of the infrastructure that helps a team make agent work repeatable and understandable. The useful foundation depends on the workflows, product requirements, and engineering context in front of you. My approach starts there rather than assuming a one-size-fits-all answer.
For teams exploring AI agent frameworks consulting in India, the central questions are practical: what should the system support, what should remain in-house, and how should the team connect its AI work to adoption and cost? Those questions link this page to my broader AI consulting focus.
AI infrastructure and agent framework focus
- Infrastructure from the ground up: understand the foundations required for the team's AI work.
- In-house agent frameworks: shape framework thinking around the product and engineering context, rather than defaulting to a black box.
- Adoption connection: align framework work with the AI use cases the team is choosing to pursue.
- Cost awareness: keep LLM cost optimisation part of infrastructure and agent discussions.
If the bigger question is where AI belongs in the organisation, read about AI adoption strategy. If the immediate issue is usage economics, see AI cost optimisation.
Experience building at Inc42 Media
At Inc42 Media, an AI-first approach cut shipping by roughly 80%. The work included building AI infrastructure from zero and developing in-house agent frameworks, alongside LLM cost optimisation. That is the direct experience behind this focus: agent framework work needs to be connected to the systems and delivery habits around it.
I have been at Inc42 since 2020. Before that, I was at Beebom from 2018–2020 and Clicue from 2016–2018. I have also been the founder of Gipcus since 2019. I am based in Delhi / Greater Delhi Area and work with teams across India.
Frequently asked questions
What are AI agent frameworks?
They are in-house foundations teams use to structure agent-based AI work. The right approach depends on the product and engineering context.
Why build AI infrastructure from zero?
The right infrastructure depends on the product and team. My experience includes building AI infrastructure from zero at Inc42 Media.
What experience do you have with agent frameworks?
At Inc42 Media, I helped develop in-house agent frameworks as part of an AI-first approach that cut shipping by roughly 80%.
How do I start a framework conversation?
Email er.ashish029@gmail.com with your product context and framework question. You can also connect on LinkedIn.
Discuss your AI infrastructure
If your team is deciding how to approach AI infrastructure or in-house agent frameworks, send a short brief to er.ashish029@gmail.com. Include the product context and the decision in front of the team.
Explore AI adoption, AI cost optimisation, AI Consultant, or return to byashish.com home.