AI that connects to your systems. Not a demo that sits on a shelf.
We integrate LLMs, RAG pipelines, and AI agents into your existing applications and infrastructure. Your team ships while you sleep. Overlap mornings ET, async handoffs for the rest.
6-12 weeks
Integration timeline
$25k-$120k
Integration pricing
100%
IP transfer included
Trusted by teams at EY, Booking.com, Accenture, DeloitteAI Integration Services in United States
Most US companies do not need another AI proof-of-concept. They have seen the demos. What they need is AI that connects to their actual data, runs inside their security perimeter, and stays accurate six months after launch. That is the gap between an AI experiment and an AI product.
We are an AI-integrated product engineering company based in India, with clients across the United States, Australia, and the UAE. Our AI integration practice focuses on connecting LLMs, retrieval-augmented generation (RAG) systems, and autonomous agents to your production infrastructure. Not as a bolt-on, but as a reliable component of your application with monitoring, evaluation, and cost governance from day one.
US companies bring us in when their internal team has proven the concept but needs production engineering to ship it. Or when they are evaluating vendors and need a technical team that understands both the AI layer and the existing systems it has to integrate with. We have connected AI capabilities to ERPs, CRMs, compliance databases, customer support platforms, payment systems, and proprietary internal tools. Every integration ships with an evaluation framework, monitoring dashboards, and cost-per-request tracking. The AI works on launch day and still works reliably in month six.
Why Thinkscoop
LLMs, RAG pipelines, and AI agents connected to your production systems — not demos that sit on a shelf.
Your team ships while you sleep. Overlap mornings ET, deep-focus implementation overnight. Two-shift velocity.
Every integration ships with evaluation frameworks, monitoring dashboards, and cost-per-request tracking from day one.
Time zone advantage
How the time zone works for United States
India (IST)
United States (local)
4-8hr
Daily overlap
14-16hr
Productive hours/day
100%
Async handoff documented
AI integration work requires deep focus blocks alongside collaborative design sessions. The US-India time zone split serves both needs naturally.
We use the morning ET overlap window, 8:00 AM to 12:00 PM Eastern, for architecture reviews, integration planning sessions, and any decision that benefits from real-time conversation. These sessions are where we align on data flow design, security requirements, and evaluation criteria with your team.
The remainder of our workday, which runs after your US team signs off, is dedicated to uninterrupted implementation. Building API connectors, configuring vector stores, writing evaluation frameworks, and running integration tests. This deep-focus work is measurably more productive without the interruptions of a shared workday.
Every morning when your US team logs in, they find completed pull requests with detailed descriptions, updated integration documentation, and a summary of any decisions or blockers that need their input. We maintain a shared async log, typically in Slack or Notion, where every architectural decision is documented with reasoning. Our Pacific Time clients do a morning review at 8:00 AM PT and find their overnight items resolved by the next morning. The two-shift model means your integration project moves at roughly twice the pace of a single-timezone team, without anyone working overtime.
Morning overlap
Real-time standup, code reviews, and decisions during your morning hours.
Async build
Our team builds features and resolves tasks during your evening and overnight.
Wake up to progress
Pull requests ready for review, completed features deployed to staging, detailed Slack handoff.
FAQ
Common questions from United States clients
What AI systems can you integrate with our existing stack?
We integrate LLMs (OpenAI, Anthropic, open-source models), RAG pipelines (Pinecone, Weaviate, pgvector), AI agents (LangGraph, custom orchestration), and computer vision systems into production applications. We have connected these to Salesforce, HubSpot, SAP, custom ERPs, PostgreSQL, MongoDB, and dozens of internal APIs. If your system has an API or database, we can connect AI to it.
How do you handle data security for US enterprise clients?
Every engagement includes NDA execution, security review, and architecture designed around your compliance requirements. We can operate entirely within your cloud tenancy (AWS, Azure, GCP) so no data leaves your environment. We support SOC 2, HIPAA, and industry-specific compliance constraints. Access controls, audit logging, and data residency requirements are built into the architecture from the start.
What does ongoing AI monitoring look like after launch?
Every integration ships with an LLMOps layer: evaluation frameworks that measure accuracy and hallucination rates, monitoring dashboards in Datadog or your preferred tool, cost-per-request tracking with alerting, and automated regression tests that run on every model update. We set up the infrastructure so your team can maintain it, or we offer monthly retainers for ongoing optimization.
How quickly can you start on an AI integration project?
From contract to first commit in 5 business days. We run a technical scoping session in the first two days, produce a detailed integration architecture and SOW, and begin implementation as soon as you approve. Most integration projects reach a working proof-of-integration within the first two weeks, with production deployment in 6 to 12 weeks depending on scope.
What is the typical cost for an AI integration engagement?
Pricing is in USD. A focused integration, connecting an LLM to a single system with evaluation and monitoring, runs $25,000 to $50,000. Larger engagements involving multiple systems, RAG infrastructure, and agent orchestration typically range from $50,000 to $120,000. We scope fixed-price whenever the requirements are clear enough to do so responsibly.
Ready to start building?
From contract to first commit in 5 business days. Schedule a discovery call or email us directly.
