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.

Marketing agency · Toronto, Canada

Updated 2026-05-18

Fazis Productions: AI content engine and creator-pipeline workflows.

Fazis Productions Toronto case study: AI content engine and creator-pipeline workflows that 10×'d asset output with the same team.

Impact scorecard

post-implementation

Client

Fazis Productions

Region

Toronto, Canada

Focus

AI implementation

Problem

Fazis Productions runs a Toronto agency model where output scaled linearly with team hours. Every client retainer required raw footage ingestion, transcription, cut-down selection, hook variants, thumbnail copy, captions, vertical reformats, and platform-specific publishing — across YouTube, IG Reels, TikTok, and LinkedIn. The repetitive parts of post-production were the bottleneck, and the only lever to scale revenue was hiring more editors.

Solution

consultance.ai built an end-to-end content engine sitting on top of the agency's creative workflow. Raw footage drops into a watched folder; the pipeline auto-transcribes, identifies high-retention moments, generates hook variants and thumbnail copy, drafts captions per platform, and reformats to vertical with safe-zone framing. A creator-pipeline layer manages the per-client style guide (tone, banned phrases, brand colors, font stack) so output stays on-brand without manual QA on every asset. Editors stop doing template work and move to creative direction, review, and the 20% of cuts that need a human eye. Output goes into a publish queue with platform-specific scheduling.

Proof points

Public Toronto marketing agency with active Instagram and LinkedIn presence.
Public proof post on Instagram referencing the workflow uplift.
Per-client style-guide engine enforces tone, banned phrases, brand assets across every output.
Watched-folder pipeline runs transcript → moments → hooks → thumbnails → vertical reformat end-to-end.
Repeatable agency content workflow built on consultance.ai's AI stack.

View public reference

Outcomes

Asset pipeline output up 10× with same headcount

Per-client style guides enforced automatically across every asset

Editors moved from template work to creative direction and review

Multi-platform output (YT / IG / TikTok / LinkedIn) from one source pipeline

Repeatable production workflow that scales revenue without scaling payroll

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