MAKE AI
DECISIONS
THAT SCALE
Built for India. Ready for the world. Indian Sight is a consulting-first AI firm helping leadership and technical teams prioritize use cases, define governance, and design infrastructure-aware architectures — so initiatives don't stall after the pilot.
Short, practical notes on strategy, governance, and production readiness.
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A pragmatic consulting approach that reduces risk and accelerates outcomes.
Use-case selection, constraints mapping, data readiness, KPI definition.
Target architecture, guardrails, evaluation plan, and operating model.
Guidance to execute a pilot with clear success criteria and risk controls.
Production checklist, monitoring plan, cost/perf tradeoffs, rollout strategy.
We start with decisions: use cases, KPIs, governance, and adoption — before tools.
Architecture guidance grounded in real constraints: security boundaries, latency, and cost.
We advise on monitoring, evaluation, and operating models so systems stay reliable over time.
We align with your existing stack and partners — no forced platforms.
We are comfortable with development, deployment, and scaling. However, we position ourselves as consulting first — execution support is available when needed.
Share your use case and constraints. We'll suggest the right next step — discovery, blueprint, or review.
Consulting-first engagements designed to de-risk adoption and make AI initiatives production-ready.
Prioritize use cases, align stakeholders, define success metrics, and plan delivery phases.
Guidance for enterprise knowledge assistants: grounding, evaluation, and safe rollout patterns.
Policies, RBAC guidance, auditability, vendor-risk inputs, and responsible AI controls.
On-prem / cloud / hybrid architecture guidance with performance, security, and cost tradeoffs.
Monitoring, drift planning, incident playbooks, lifecycle updates, and operating model.
Executive and technical enablement: adoption playbooks, governance training, and readiness.
When required, we can support pilot execution and scale planning with your internal team or preferred partners. Our positioning remains consulting-first.
Get clarity fast: use-case prioritization, governance inputs, and an infrastructure-aware plan that scales.
A pragmatic consulting approach that reduces risk and accelerates outcomes.
Use-case prioritization, constraints mapping, data readiness, KPI definition.
Target architecture, governance controls, evaluation plan, and rollout path.
Guidance to execute a pilot with clear success criteria and risk controls.
Production checklist, monitoring plan, cost/perf tradeoffs, rollout strategy.
Consulting-first outputs designed to de-risk adoption and make AI initiatives production-ready.
Ranked AI use cases with success metrics and effort/value mapping.
Infra guidance for on-prem, cloud, or hybrid — with cost and security tradeoffs.
RBAC guidance, auditability, vendor-risk inputs, and responsible AI controls.
Quality, safety, and reliability assessment for models and pipelines.
Monitoring, drift planning, incident playbooks, and lifecycle updates.
When required, we can support pilot execution and scale planning with your internal team or preferred partners. Our positioning remains consulting-first.