What does consultance.ai build?

Production AI engines: agents, voice, vision, RAG, workflow automation, and predictive models — designed, deployed, and maintained end-to-end.

Who is consultance.ai for?

Real estate firms, property management companies, and operations-heavy businesses worldwide. Active clients across Dubai, London, Toronto, and Pakistan.

How long from idea to deployed engine?

Proof of concept in 1–2 weeks on your real data. Production engine deployed in weeks 3–6. Self-healing systems and team training included.

How does pricing work?

30-minute discovery call is free. Written audit follows in 1–3 days. Build is project-priced; ongoing partnership is a flat retainer with unlimited servicing.

Do you transfer code and IP?

Yes. Code and IP transfer at every milestone. No subcontractors, no offshore handoffs — direct line to the engineers building.

What stack do you build on?

OpenAI, Anthropic Claude, Vercel, Supabase, Next.js, React, Tailwind, Stripe, Linear, and GitHub — production-grade tools the team trusts.

AI consulting guide

Updated 2026-05-18

AI workflow automation examples for real businesses.

AI workflow automation is most valuable when it removes repeatable work across tools. Instead of replacing teams, it gives them faster intake, cleaner context, and fewer manual handoffs.

Lead response automation

AI can summarize inbound leads, score urgency, draft replies, route prospects, and trigger appointment booking workflows.

Document extraction

AI can extract terms, dates, names, obligations, and structured fields from contracts, leases, invoices, PDFs, and forms.

Support triage

AI can classify requests, suggest responses, retrieve policy answers, and escalate edge cases to the right human.

Internal knowledge search

RAG systems let teams ask questions across company documents, procedures, policies, and project history with source-grounded answers.

FAQ

What workflows can AI automate?

AI can automate intake, classification, extraction, summarization, drafting, routing, CRM updates, reporting, and knowledge retrieval.

Is AI workflow automation safe?

It is safest when paired with permissions, logs, human approvals, fallback behavior, and quality monitoring.