AI-Powered Sales & Content Technology
Engineering intelligent content, search, and lead-generation workflows for a modern SaaS product.
What we were asked to solve.
A growing SalesTech platform needed to embed AI capabilities across content generation, prospect research, and intelligent search — without destabilizing an existing revenue-critical product. The team had a working prototype, but response quality, latency, and cost were unpredictable, and the AI layer did not respect existing user permissions or CRM context.
How we engineered the solution.
Retrieval Architecture
Designed a hybrid retrieval pipeline combining structured CRM data, unstructured content, and permission-aware filters — with source grounding on every response.
Multi-Model Orchestration
Built a routing layer that selects the right model per task based on latency, cost, and required quality — with graceful fallback on failure.
Evaluation Loops
Created continuous evaluation pipelines using real customer traffic samples, with observability into quality regressions.
Product Integration
Embedded AI features inside the existing SaaS UI as first-class product surfaces rather than bolt-on chat widgets.
What changed for the business.
Faster time to insight for sales users searching account context.
Predictable AI operating cost through model routing and caching.
Higher-quality generated content grounded in customer-specific data.
Foundation for future agentic workflows across the platform.
Other case studies
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ERP Implementation for Gallop Brush Manufacturing
Shipolog — AI-Powered Fulfillment Platform for E-Commerce Sellers
Swiggy — Automating Payment Reconciliation at Unicorn Scale
Facing a Similar Engineering Challenge?
Bring us the context of your product, workflow, or technical constraint — we will help identify the right path forward.