AI in your stack
Put AI where your customers already are.
Support bots, copilots, search on your docs, and workflow automation — integrated into your app, SaaS, or ops tools with guardrails that leadership can sign off on.
Why teams hire us for AI
Buyers are not looking for another chat window — they want less manual work and faster answers inside software they already pay for.
AI inside your product
Copilots, search, and agents embedded in the mobile app or SaaS you already sell — not a separate ChatGPT tab.
Your data, your rules
RAG on your docs, role-based access, audit logs, cost caps, and human handoff when the model should not guess.
Live in weeks
We scope a first production feature in 4–8 weeks: one workflow that saves hours or closes more deals.
Use cases
What we integrate most often
Pick one to start — we will recommend the smallest shippable version that proves ROI.
Support & FAQ bots
Answer tier-1 questions on web, WhatsApp, or in-app — trained on your policies and products.
Knowledge search (RAG)
Employees or customers ask in plain language; answers cite your PDFs, Notion, or CMS content.
Sales & lead intelligence
Score leads, draft follow-ups, summarize calls — wired into CRM or your admin panel.
Document & form AI
Extract fields from uploads, classify tickets, route work — with review queues for edge cases.
In-app copilots
Context-aware assistants inside React Native or Next.js — user, account, and permissions aware.
Ops automation
Reminders, summaries, and workflows across email, Slack, and internal tools you already use.
Proof
AI we run ourselves
Same patterns we deploy for clients — production traffic, not slideware.
BroviBOT
Intelligent chatbot solution for businesses. Automate customer support, lead generation, and FAQs with AI.
View product
BroviFlow (NexusOS)
AI-powered internal ERP to manage leads, sales, HR, timesheets, assets, and operations — all in one place.
View productAlso shipping AI inside client mobile apps and SaaS — see our work.
Process
From idea to production AI
Find the wedge
One measurable outcome — fewer support hours, faster onboarding, higher conversion.
Design guardrails
Data boundaries, prompts, fallbacks, and review paths before we write integration code.
Ship to production
APIs, UI, monitoring, and evals — same squad that builds your app or SaaS.
Improve with usage
Tune prompts and retrieval from real logs; expand scope when ROI is clear.
Stack
Model-agnostic — we pick the right API or open model for cost, latency, and compliance.
- OpenAI / Anthropic
- RAG & vector search
- Node.js / Python
- Next.js & React Native
- Firebase / AWS
- WhatsApp & web widgets
FAQ
Do you only build standalone AI apps?+
No — most of our work is AI integrated into existing products: support bots, in-app copilots, admin assistants, and automation on top of CRMs and internal tools. We also ship our own AI products (BroviBOT, BroviFlow) as proof we run this in production.
How long does a first AI feature take?+
A focused integration (e.g. FAQ bot or RAG on a doc set) is often 4–8 weeks. Larger programs with multiple workflows run 8–16 weeks. We give you a fixed scope and timeline in a proposal within 24 hours of your brief.
Is our data safe?+
We design for least-privilege access, encrypted transport, optional private deployment, and no training on your data unless you explicitly want fine-tuning. We document what leaves your boundary and what stays in your cloud.
Can you add AI to an app Brovitech did not build?+
Yes. We audit your stack, APIs, and auth, then integrate via backend services or embedded UI. We also partner with teams building new mobile or SaaS products from scratch.
What does it cost?+
Scope-driven — a single production use case is typically a fraction of a full greenfield build. Share your system and goal; we respond with options and a clear quote, not a generic “AI transformation” deck.
Tell us where AI should save time first.
Share your product or internal tool — we will reply within 24 hours with scope, timeline, and a straight quote.