AI, installed

Other agencies talk about AI. We wire it into your P&L.

Beyond ChatGPT prompts and trend decks. We build, fine-tune and operate private AI systems that live inside your marketing function — compounding creative output, sharpening attribution, and quietly making your team the most leveraged one in your category.

Abstract AI neural network sphere
The stack

Six products. One unfair advantage.

Deploy them individually or as a system. Each ships with the workflow, the team rituals, and the governance to make the leverage stick — long after the install is done.

AI-01

Brand Brain

A private model trained on your voice, offers, customers and last 24 months of campaigns. Lives in Slack and Notion. Writes in your tone so well, your senior copywriters stop spotting the difference — and start using it themselves.

  • Brand-voice fine-tune
  • Slack & Notion native
  • Versioned prompt library
  • Human-in-the-loop guardrails
AI-02

Generative Creative Studio

Your visual identity, locked into a generative pipeline. Concept variations in minutes, ad creative in hours, motion in a day — produced inside a system that protects the brand instead of diluting it.

  • Locked visual references
  • Ad creative at scale
  • Motion & video pipelines
  • Senior creative direction on every drop
AI-03

Predictive Demand

An ML layer that tells you where to spend before your competitors notice the shift. Tuned for UAE's WhatsApp-heavy, multi-touch buying journeys — not American funnels copied and pasted.

  • Server-side conversion APIs
  • Continuous marketing-mix modelling
  • Geo-lift experimentation
  • Anomalies explained in plain English
AI-04

Autonomous Campaign Engine

Self-optimising creative cycles that test thousands of variations against live performance, retire the losers, and scale the winners — without a human in the loop for routine moves. Your team stops being a control panel.

  • Real-time creative iteration
  • Bid & budget automation
  • Audience clustering
  • Weekly human-led strategy reviews
AI-05

Insight & Listening Agent

Always-on intelligence across Arabic and English channels. Competitor launches, sentiment shifts, category gaps — surfaced as briefs your team can act on Monday morning, not data dumps no one reads.

  • Bilingual sentiment monitoring
  • Weekly competitor teardowns
  • Cultural trend radar
  • Actionable briefs, not dashboards
AI-06

AI Operating Model

Tools don't change companies. Workflows do. We redesign how your marketing team works around AI — the rituals, the roles, the metrics — so the leverage shows up in the P&L, not just the demo.

  • Workflow & ritual redesign
  • Team upskilling sprints
  • Governance framework
  • Quarterly model audits
AI automation

AI is no longer a feature. It is the operating layer every business will run on.

In two years, AI moved from novelty chatbot to the connective tissue of modern companies. The businesses that install it now will operate at a structural cost and speed advantage the rest cannot close with headcount.

First it was generative content. Then copilots inside every tool. Now: autonomous agents that read your inbox, query your data warehouse, draft your proposals, qualify your leads, reconcile invoices, and update your CRM — overnight, while your team sleeps. The unit economics of running a company are being rewritten in real time.

This shift is not optional, and it is not industry-specific. A 30-person agency in Dubai, a logistics operator in Jebel Ali, a clinic in Abu Dhabi, a D2C brand on Shopify — all face the same equation. Competitors who automate the boring 60% of operational work redeploy that budget into growth, talent and product. Those who don't, fall behind on margin first, then on speed, then on relevance.

AI automation is not about replacing your team. It is about removing the work that should never have been on a human's desk in the first place — so the people you already pay for can do the work they were actually hired for.

60–80%
of repetitive ops work is automatable with current models — no custom AI research required.
3–10×
throughput on content, qualification and reporting tasks once agents are wired into your stack.
30–50%
reduction in time-to-first-response across sales, support and recruitment pipelines.
24/7
operating cadence — agents do not sleep, do not churn, do not ask for a raise.
Where it pays back

Eight places AI automation earns its keep

These are not theoretical. They are the installs we ship today for UAE operators — measured in hours saved per week and revenue accelerated per quarter.

USE-01

Lead capture, qualification and routing

An agent reads every inbound from forms, WhatsApp, DMs and email, enriches the contact, scores intent against your ICP, drafts the first reply in your tone, and books a meeting or routes to the right human — in under 90 seconds, around the clock.

USE-02

Sales follow-up and pipeline hygiene

Agents listen to call recordings, write the CRM note, update deal stages, draft personalised follow-ups referencing what was actually discussed, and nudge stalled opportunities so nothing leaks. Your reps spend their day selling, not typing.

USE-03

Content production at brand scale

A trained brand model produces social posts, ad variants, blog drafts, landing copy, product descriptions and email sequences — on-voice, on-message, in EN and AR — at the volume modern channels demand, with a human editor in the loop.

USE-04

Customer support and FAQ deflection

A retrieval-grounded agent answers product, policy and order questions from your own documentation, hands off cleanly to a human when uncertain, and logs every conversation so your knowledge base gets sharper every week.

USE-05

Reporting, dashboards and weekly reviews

Pull from GA4, Meta, Google Ads, Shopify, HubSpot and your warehouse — the agent assembles the weekly report, flags anomalies, writes the narrative, and drops a Loom-style summary into Slack every Monday morning.

USE-06

Recruiting and talent screening

Parse every CV, score against the role brief, draft the outreach, schedule the screen, and brief the hiring manager — collapsing a two-week shortlist into 48 hours without losing the human judgement call at the end.

USE-07

Back-office: invoices, contracts, ops

Extract data from PDFs, match invoices to POs, flag exceptions, draft contracts from a brief, summarise long documents, and keep your finance and ops trackers reconciled — without a finance hire dedicated to data entry.

USE-08

Internal knowledge agent

A private assistant trained on your SOPs, decks, contracts and Notion — so every employee from day one can ask 'how do we do X here?' and get the right answer with the right link, instead of pinging three Slack channels.

How we engage

AI delivered in three phases.

Phase 01

Audit (2 weeks)

We map your stack, data, content systems and team rituals — then return a prioritised roadmap with ROI projections you'd actually defend to a board.

Phase 02

Install (4–8 weeks)

We build, fine-tune and deploy the modules you signed off on. Co-built with your team so the knowledge stays inside the building when we leave.

Phase 03

Operate (ongoing)

Our operators run the engine alongside your team, or take it fully off your plate. Monthly reviews, quarterly model audits, continuous iteration — never set-and-forget.

Initialise · Growth Protocol

Put AI inside the workflow — not on a slide.

Tell us the one job you wish your marketing team could do twice as fast. We'll come back with the smallest install that gets you there.

Start a project
WhatsApp us