Discover the gaps
Map where current processes, data, policies and human judgement diverge.
Secondary context for AI that has to work
We help leaders design AI systems that understand more than prompts and databases. The work is to capture the decisions, dependencies, constraints and human judgement where most agents fall through the gaps.
The Secontext thesis
Most enterprise AI programs over-index on primary context: policy documents, process notes, transactional records and clean demos. That can make an agent answer questions, but it does not make the system reliable inside a business.
Secontext works on the missing layer: the secondary context that explains why a decision is safe, who owns the risk, which exception matters, and how the outcome will be measured.
Map where current processes, data, policies and human judgement diverge.
Define entities, relationships, permissions, guardrails and evidence trails.
Ship narrow, measurable agent workflows before expanding the architecture.
Subbrand for the first leap
Zero-Agent is for teams that have not built agents yet, or have demos that are not ready for real operations. It gives them a focused path to their first useful agent: scoped, governed, integrated and measured.
Leadership
Leader profile
I am a loyalty and customer engagement product leader with 15 years of experience in BFSI and Telecom, specializing in building and scaling digital rewards platforms and retention programs for leading Indian banks.
I have driven activation, repeat usage and revenue growth across affluent and mass-market segments, most recently managing IDFC FIRST Bank's loyalty program, and earlier leading the Private Banking portfolio at Kotak Mahindra Bank and SmartBuy, HDFC Bank's flagship digital loyalty and commerce platform.
My work sits at the intersection of product strategy, commercial partnerships and customer experience. I have designed tiered engagement frameworks, optimized merchant ecosystems and improved funnel performance from discovery through transaction and repeat usage.
Leader profile
I am an AI leader with 15 years of experience across Retail, CPG, Energy & TMT. But I specialize in building and reimaging Finance Operations for the next generation of agentic systems. I have led multiple AI and RPA programs across Fortune 500 companies, and have a track record of delivering measurable business outcomes through intelligent automation. and transformation programs for leading GCCs and Indian enterprises.
I have partnered with Finance teams to handle Finance Transformation, most recently managing the Finance Operations for a leading GCC, and earlier leading the Finance Transformation portfolio at a leading Indian enterprise.
My work sits at the intersection of AI strategy, commercial & Finance roadmaps and E2E agentic experience across R2R, O2C (Order to Cash), FP&A(Finance Planning and Analysis), P2P (Procure to Pay), Tax and Treasury along with Bookkeeping and compliance solutions.
Leader profile
I am a PhD Holder having led both research and government liasion projects. I have built data driven systems aimed at Physcial AI and Water based solutions. I had immense experience across Groundwater projects and Program management of large scale projects. My interest is in exploring the science side of things.
I have worked with the Central Government on several initiatives and handled projects End to End successfully over 20 years.
My work sits at the intersection of product strategy, commercial partnerships and customer experience. I have designed tiered engagement frameworks and redesigned Operating models.
Leader profile
I am the founder of Secontext. Previous to this, I was in the field of Architecture. I presided over the Officer-In-Charge in an institution backed by the State Government for 18 years.
I undersand the fine interplay between Architecture, Data and Ontology Design. I have worked on several projects in the field of Architecture and have been a part of several Government backed projects.
I am accountabile for the overall direction and success of the organization including strategic planning, resource allocation, performance management and customer relations.
Careers
These roles reflect the supplied Careers Secontext document. The requirement is senior, client-facing consulting leadership with practical AI, data and enterprise architecture depth.
15+ years | Client-facing leadership
Sets the architectural direction for an AI-native infrastructure platform, owns the executive relationship and converts current-state gaps into a defensible, costed transformation case.
15+ years | Analytics, data science and generative AI
Assesses whether enterprise data and telemetry can support an agentic platform, then designs the semantic context layer, knowledge architecture and guardrails.
Start with one useful workflow
Secontext can help assess agent readiness, design the operating blueprint or move a team from zero agents to its first governed prototype.
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