AI Strategy &
Automation.

Every company is rushing to adopt AI, and most are doing it badly. We design AI systems that actually work inside your workflow — custom GPTs, editorial automation, personalization engines, and agents — with governance that won't get you in trouble.

(A) / Approach

AI that scales your
team — doesn't replace it.

→ 01

Workflow Automation

AI embedded where the work happens: Slack, email, CRM, CMS, and analytics. We identify the 5–10 workflows where AI actually pays for itself within a quarter.

→ 02

Custom GPTs & Agents

Internal assistants trained on your data, brand voice, and processes. Used for briefing, QA, research, client comms, and production.

→ 03

AI Governance & Ethics

Policy, prompt libraries, evaluation frameworks, and audit trails. The boring-but-critical layer that keeps AI adoption out of legal and PR trouble.

(B) / Regional Focus

AI Strategy across
four regions.

Canada

AIDA-aligned governance, bilingual prompt engineering, and Canadian data residency for sensitive training data.

AIDA-aligned frameworks
EN/FR prompt engineering
Canadian data residency
Public sector readiness

United States

Enterprise AI rollouts, NIST AI RMF alignment, and state-level AI regulation navigation (Colorado, California, NYC).

NIST AI RMF compliance
State AI regulations
Enterprise AI governance
Vendor risk assessment

Europe

EU AI Act compliance, documentation requirements, and high-risk system classification — the most regulated AI environment on Earth.

EU AI Act compliance
Risk classification
Documentation & audit
GDPR + AI Act overlap

Gulf Region

Aligned with UAE's AI leadership mandate, KSA's Vision 2030 AI priorities, and Arabic-language model deployment.

UAE AI ethics guidelines
Vision 2030 alignment
Arabic LLM deployment
Falcon + regional models

What you get.

01 →AI readiness assessment

02 →Workflow opportunity map

03 →Custom GPT / assistant builds

04 →Prompt library & style guide

05 →AI governance policy

06 →Team training programs

07 →Evaluation & QA frameworks

08 →Quarterly AI performance review

(D) / Questions

Frequently asked.

Should we build or buy AI tools?

Buy where the market is mature (coding, meeting notes, CRM AI). Build where your competitive advantage lives (your editorial voice, proprietary data, or customer workflows). We help you draw that line.

How do we prevent hallucinations in production?

Through RAG architectures grounded in your own data, strict output validation, human-in-the-loop for high-stakes decisions, and continuous evaluation. Hallucinations are a design problem, not an AI problem.

Is it too early to adopt AI across the company?

The opposite — it's late. Competitors are already embedding AI in briefing, QA, research, and customer communications.