Practice /01

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 this practice covers

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
Practice snapshotHow this practice shows up on real roadmaps
Grounding & citationsRAG and policy-aware prompts so answers trace to your data — not generic model memory.
Agents & toolsMCP, APIs, and human-in-the-loop writes — least-privilege credentials and kill switches.
Channels & voiceWeb, WhatsApp, telephony — latency-aware UX and handoff to humans when needed.
Ops & costModel routing, tracing, and budgets so invoices stay predictable week over week.

Why work with us here

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.

How we work

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).

1–2 wks

Discovery & scope

Goals, data access, risk tolerance, and integrations — output is a phased plan with assumed fees, not vague “Phase 2 someday.”

1–3 wks

Proof on your data

A narrow vertical slice: real prompts, retrieval, or agent tools — so we prove fit before a long build commit.

3–12+ wks

Production build

Hardening, auth, monitoring, and rollouts — weight depends on channels, compliance, and number of integrations.

ongoing optional

Handoff & care

Repos, env docs, runbooks — optional retainer for drift, model upgrades, and small product tweaks.

Assumed pricing

Typical bands before your final quote

Phase / packageWhat is includedTypical timelineAssumed from
Discovery / scope sprintBrief, architecture notes, phased quote1–2 wks~USD $1.2k+
First production ship (typical slice)RAG, chatbot, or agent MVP with staging3–8 wks~USD $4.5k+
Larger programMulti-channel, voice, or heavy integrations8–16+ wks~USD $12k+

Assumed bands are typical first phases before integrations and compliance add scope — we confirm fees in writing after a short brief.

Offerings

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.

What we build

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

FAQ

Questions specific to this practice

No — we also ship agents, RAG over internal data, embedded copilots, and voice. The right shape depends on your workflow, not the buzzword.

For shipped work and credits, see the portfolio.

Next step

Tell us the outcome — we map offerings, milestones, and price options.

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