Your business needsAI integrations

AI integration services are done-for-you engagements where a team integrates AI capabilities — large language models, chatbots, agents, automations — into your existing business systems and workflows. Instead of hiring a full-time AI engineer or running a 6-month consulting engagement, you scope a fixed deliverable (e.g., a 3-week proof of concept), get a fixed price, and get production-ready code at the end. Used by non-technical founders, SMBs, and product teams who need AI shipped without building an in-house AI team.

Productized AI integration services typically cost between $2,500 (a 3-week proof of concept on a focused use case) and $10,000 (a 4–6 week production-grade build that ships to real users). Enterprise and multi-quarter custom engagements run higher and are quoted after a discovery call. The fixed-price model means you know the total cost upfront — unlike hourly consulting, which routinely runs $20K–$50K with budget overruns.

A productized AI integration takes 3 weeks for a focused proof of concept and 4–6 weeks for a production-grade build. The timeline is fixed and written into the statement of work before any code is written. The compressed timeline is possible because the scope is intentionally narrow — one use case, one stack, one success criterion — rather than the open-ended exploration that makes traditional consulting drag on.

Yes — ChatGPT and Claude integration is the most common request. We build customer-facing chatbots, internal copilots, RAG systems over your docs, agentic workflows, and AI-augmented features inside your existing product. The integration includes prompt engineering, guardrails, conversation state, evals, observability, and the auth/billing plumbing — so the AI actually ships to production instead of being stuck as a demo.

Yes. The $2,500 AI PoC tier is specifically designed for small business owners and solo founders who want to test whether AI can solve a real problem before committing to a larger build. We start with a free 20-minute discovery call, scope a focused use case (typically one workflow or one customer-facing feature), and deliver a working prototype on your stack in 3 weeks — concrete enough to make a go/no-go call.

An AI PoC (proof of concept) is a working prototype that demonstrates whether a specific AI use case is feasible on your stack — built fast, focused on one success criterion. It's not production-ready: it lacks the auth, monitoring, error handling, and scale tuning a real system needs. The $2,500 PoC tier gives you a concrete go/no-go answer in 3 weeks. If the PoC works, we then quote a production build (typically $5K–$10K, 4–6 weeks).

We sign an NDA upfront before any sensitive data changes hands. All work happens inside your cloud, your repo, your data perimeter — we don't ship your data to our infrastructure. We never train models on your data, and we can deploy on-prem or in your VPC for enterprise engagements with stricter compliance requirements (SOC 2, GDPR, HIPAA).

Success criteria are defined upfront in the discovery call and written into the statement of work. If we can't hit them by the end of the engagement, you get the deposit refunded minus the discovery effort. This is why we insist on a scoped PoC before a production build — it's the cheapest way for both sides to find out whether the integration is actually feasible.

For the PoC tier, no — we handle everything end-to-end and hand off a working prototype with a walkthrough. For production tier and beyond, having someone on your side who can deploy code and handle ongoing operations helps, but we can also deploy for you and provide handoff training to a non-technical owner if you don't have engineering staff.

You do, fully. Source code, prompts, evals, deployment configuration — all transferred to your repo and your accounts at handoff. IP transfer is explicit in the SOW. We don't retain any rights or hold the code hostage on our infrastructure. If you ever want to switch teams or take it in-house, everything goes with you.