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

How to implement AI in business without wasting months.

The fastest way to implement AI in business is not to start with a model. Start with a workflow that happens every day, costs time, touches revenue or customers, and has enough structure for AI to help safely.

1. Choose a workflow, not a trend

Strong first AI projects usually involve lead response, support triage, document extraction, internal knowledge search, reporting, CRM updates, or follow-up automation. These workflows are frequent, measurable, and easy to compare before and after implementation.

2. Score the use case

Rank each opportunity by business value, data availability, risk, integration complexity, and time to launch. A smaller workflow with clear ROI is better than a broad AI transformation plan that never ships.

3. Build a controlled pilot

A useful pilot should run on real data, include human approval for sensitive steps, and measure quality. The goal is to prove the workflow can save time or improve output before expanding scope.

4. Connect existing tools

Business AI becomes valuable when it connects to the tools your team already uses: CRM, inbox, calendar, documents, spreadsheets, databases, support desk, and internal dashboards.

5. Monitor and improve

Production AI needs logging, evaluation, fallback behavior, user feedback, and regular iteration. Implementation does not end when the first demo works.

FAQ

What is the first step to implementing AI in a business?

Map repetitive workflows and choose one measurable use case with clear value, available data, and manageable risk.

How long does AI implementation take?

A focused pilot can often launch in 1–2 weeks, while production rollout depends on integrations, approvals, and workflow complexity.