AI development services — agents, RAG, chatbots & voice
We ship AI that lives in your product: grounded retrieval, tool-using agents, chatbots across channels, and voice flows — with evaluation, budgets, and human gates where stakes are high.
What BalochDev means by AI & Intelligence delivery
AI & Intelligence is not a slide deck category for us — it is engineering work that ends in production features. We scope whether you need prompt-only integrations, retrieval-augmented generation over your documents, autonomous agents with audited tool access, or multilingual voice. Each path gets acceptance criteria, staging, and observability hooks so you can see quality and cost before traffic scales. When a use case is a poor fit, we say so early — cheaper than a three-month prototype that never clears review.
- AI development company
- AI agent development services
- RAG development
- LLM integration services
- AI chatbot development
- voice AI development
- OpenAI Claude Gemini integration
- BalochDev AI services
What buyers get in AI & Intelligence
Product-first AI
We ship features your users touch — not isolated notebooks or one-off demos.
Security-conscious defaults
PII boundaries, retention awareness, and explicit review before risky automation.
Provider-agnostic where sensible
OpenAI, Claude, Gemini, or open models — chosen for quality, latency, and your constraints.
Milestones you can accept
Written scope per phase with demos — aligned with how procurement and founders actually buy.
Phases from brief to handoff
Every program adapts to what you already know — but this rhythm keeps scope, risk, and demos legible for stakeholders (similar to how we run fixed-scope product work elsewhere on the site).
Discovery & scope
Goals, data access, risk tolerance, and integrations — output is a phased plan with assumed fees, not vague “Phase 2 someday.”
Proof on your data
A narrow vertical slice: real prompts, retrieval, or agent tools — so we prove fit before a long build commit.
Production build
Hardening, auth, monitoring, and rollouts — weight depends on channels, compliance, and number of integrations.
Handoff & care
Repos, env docs, runbooks — optional retainer for drift, model upgrades, and small product tweaks.
Typical bands before your final quote
| Phase / package | What is included | Typical timeline | Assumed from |
|---|---|---|---|
| Discovery / scope sprint | Brief, architecture notes, phased quote | 1–2 wks | ~USD $1.2k+ |
| First production ship (typical slice) | RAG, chatbot, or agent MVP with staging | 3–8 wks | ~USD $4.5k+ |
| Larger program | Multi-channel, voice, or heavy integrations | 8–16+ wks | ~USD $12k+ |
Assumed bands are typical first phases before integrations and compliance add scope — we confirm fees in writing after a short brief.
Scoped services inside this practice
Each link opens a focused service page with bullets and next steps — good for sharing with procurement or technical reviewers.
Deliverables we routinely ship in this practice
Concrete surfaces: LLM-backed features in your app, retrieval stacks over Postgres or managed vectors, agent workflows with approvals, and voice flows with human transfer — documented so your team can operate them.
- LLM features in web & mobile
- RAG & citations
- Tool-using agents
- Support & sales chatbots
- Voice agents & telephony
- Evals & monitoring hooks
Questions specific to this practice
For shipped work and credits, see the portfolio.