Omkara is a local-first delivery workspace for Forward Deployed Engineers and AI implementation teams. It keeps discovery, stakeholder approval, coding-agent work, technical decisions, exact-commit evidence, and production outcomes connected.
Customer interviews, decisions, mockups, agent chats, code, and test reports live in separate places.
Every delivery artifact points back to customer evidence and forward to measured production outcome.
The durable product is not another chat transcript. It is the verified relationship between what a customer meant and what reached production.
intent → change → evidence → outcome
Keep stakeholder evidence, current workflows, constraints, open hypotheses, baseline metrics, and approval authority together—with observed facts visibly separate from AI inference.
Turn clarified requirements into local interactive mockups, journeys, acceptance criteria, and localized baselines. Approval creates an immutable version rather than editable prompt context.
Planner, Executor, Tester, and Integrator receive bounded, versioned context. Agent sessions can be replaced without asking the user to reconstruct project history.
Approved screens, tokens, journeys, states, permitted variations, and screen-to-file mappings become a delivery constraint. Drift requires a fix or an approved new version.
Parity supplies deterministic evidence. The Integrator evaluates the exact commit tested, and a subsequent change automatically makes the earlier verdict stale.
Track environments, versions, rollout plans, operational ownership, incidents, adoption, and agreed workflow metrics without pretending code completion equals customer value.
Scopes the work, acknowledges approved intent, and maps the solution to the repository.
Implements only the assigned scope inside an isolated branch and worktree.
Receives the original baseline and verifies behavior without inheriting the implementer’s interpretation.
Evaluates alignment, evidence, quality, and integration risk before a human merge decision.
Omkara coordinates installed coding agents, repositories, Git worktrees, project memory, and local Parity evidence without requiring an Omkara cloud account. External language or model providers are explicit choices, not invisible dependencies.
Omkara’s first wedge is not every developer. It is the delivery team that must repeatedly turn ambiguity into production outcomes without losing trust along the way.
A request for an “AI dispatch app” becomes an offline-first assignment and accountability system—without introducing continuous worker tracking or losing the actual workflow problem.
A virtual try-on storefront stays connected to unique-asset availability, restricted delivery districts, jewellery custody, accountant-ready records, and a future multi-shop operating model.
Shakti and Chaitra now run as offline-first local applications with persistent state, executable business rules, exact-commit Product Records, and recorded functional evidence.
Agent-emulated journeys exposed critical gaps that functional tests missed. Video evidence is bound to the product commit, sent through an approved channel, and confirmed—or rejected—by the customer.
A Birlasoft-inspired concept that turns fragmented commercial-lines broker submissions into evidence-linked, decision-ready risk briefs while keeping pricing and bind decisions with the underwriter.