Secondary context for AI that has to work

Secontext is the operating brain between intent and outcomes.

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

Functional agents are not the same as operational intelligence.

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.

01

Discover the gaps

Map where current processes, data, policies and human judgement diverge.

02

Build the context layer

Define entities, relationships, permissions, guardrails and evidence trails.

03

Prove value before scale

Ship narrow, measurable agent workflows before expanding the architecture.

Subbrand for the first leap

Zero-Agent takes clients from zero agents to 0 -> 1 setup

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.

  • Identify the first high-value use case.
  • Translate workflow context into agent-ready design.
  • Build a governed prototype with a practical adoption plan.

Leadership

Business operators, AI architects and governance thinkers in one room.

Professional portrait of Kalyan

Leader profile

Kalyan

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.

Careers

Open roles for people who can design and deliver enterprise AI.

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

Enterprise FDE

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.

  • Own current-state assessment, target-state ecosystem blueprint and roadmap.
  • Act as principal architect across enterprise AI, experience and operations.
  • Define KPIs, value realization, scope, risks and governance rhythm.
  • Bring hyperscaler depth across GCP, Azure and AWS.

Start with one useful workflow

Build the context layer before you scale the agent layer.

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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