Agentic workflows
Task agents that take actions inside approved systems with audit logs.
AuroviQ builds AI systems that survive production: agents with tools and permissions, retrieval grounded in your knowledge, automation with evals, and product features with cost and quality controls—engineered in India for Indian and international teams.
Senior ownership, clear process, and systems your team can run after launch.
Task agents that take actions inside approved systems with audit logs.
Search, copilots, classification, and generation with monitoring.
Process-first automation with measurable cycle-time gains.
Not a slide about transformers. We ship software: data access layers, prompt/version control, evaluation harnesses, human review paths, security reviews, and runbooks. That is why CTOs trust the output beyond a pilot.
Product companies adding AI features, enterprises automating operations, and global buyers who want India delivery with English-first product discipline. We scope ruthlessly so the first production workflow lands before the platform grows legs.
Support deflection, document-heavy back offices, sales ops preparation, internal knowledge assistants, and vertical SaaS intelligence features. Each needs different risk controls—we design accordingly.
Use the free AI business plan intake or book a technical conversation. You leave with a prioritised roadmap and an honest build-vs-buy recommendation.
India has no shortage of AI demos. Production systems are rarer. Our Ahmedabad team builds the unglamorous layers—authz, logging, evals, fallbacks—so AI features can be defended in a board meeting and operated on a Monday morning.
Before we write production code for Ahmedabad, broader India buyers, and global companies hiring India delivery, we align on outcomes, non-goals, security constraints, and success metrics. That sounds basic—until you have watched projects burn months on the wrong problem. AuroviQ runs a short discovery pattern: stakeholder interviews, systems inventory, risk map, and a written proposal that separates must-ship from nice-to-have. You always know what is in scope, what is estimated, and what depends on your team for access or decisions.
Remote product engineering fails when communication is casual and architecture is tribal knowledge. We reverse that. Decisions are written. Interfaces are explicit. Tests and observability are part of done. For India stakeholders, that means you can change product owners mid-programme without losing the plot. It also means enterprise diligence—security questionnaires, access reviews, and audit questions—does not become a fire drill at the worst moment.
We will not pretend a thin template site is a product. We will not staff a rotating bench that erases context every sprint. We will not hide risk behind optimistic timelines. If a problem is better solved with a vendor tool than custom code, we say so. That honesty is how long client relationships form—especially with India product leaders who have already been burned by pure outsourcing theatre.
If you landed here looking for a practical partner—not the loudest agency brochure—send a short brief to hello@auroviq.com or use the contact form. Include your timeline, stack preferences, and whether you need fixed-scope delivery or dedicated capacity. We respond with a clear plan. Prefer to structure an AI or automation problem first? Start with the free AI business plan intake on auroviq.com/free-plan.
| Layer | What we implement | Why it matters |
|---|---|---|
| Data | Connectors & scopes | Correctness & privacy |
| Model | Prompts/tools/RAG | Task success |
| Control | Evals & logs | Trust in production |
Same engineering standard across the markets we publish for.
Tell us about your product or automation goals. We’ll respond with a practical plan—not a generic pitch deck.