InContextAdvisory

Services

Three integrated practice lines built for the challenges regulated enterprises face when adopting AI.

AI Strategy & Transformation

We translate board-level AI ambitions into executable operating models. No slide decks that gather dust — actionable architecture that teams can build on.

AI North Star

100-day roadmap from AI ambition to AI operating model. Prioritized use cases, governance framework, and execution architecture.

10–12 weeks

Fusion Lab

Turnkey design and launch of an internal AI Center of Excellence: org design, talent model, tech stack, and first three use cases delivered.

12–16 weeks

AI Spend Optimizer

Forensic audit of AI and data spending. Most clients discover 30–40% of spend is duplicative or misaligned.

4–6 weeks

Board AI Fluency

Two-day immersion for board members — AI economics, risk, competitive dynamics, and fiduciary duties in the GCC context.

2 days

Workforce AI Shift

Enterprise workforce impact assessment: role-by-role exposure analysis, reskilling roadmap, and change management playbook.

8–12 weeks

Data & Analytics

Every AI initiative succeeds or fails on data quality. We assess, architect, and build the data foundations that make intelligence possible.

Data Trust Score

Proprietary diagnostic scoring enterprise data maturity across 7 dimensions. Delivers a scored report with prioritized remediation roadmap.

4 weeks

Golden Record Factory

Master data management — building unified customer or asset records across siloed systems.

12–16 weeks

Real-Time Pulse

Streaming analytics layer feeding live operational data into executive dashboards and automated triggers.

10–14 weeks

Open Data Launchpad

End-to-end design and delivery of national or ministerial open data portals — catalog, API layer, governance, and public dashboards.

12–20 weeks

Governance, Risk & Compliance

Regulators are moving faster than most enterprises can respond. We build the frameworks that keep you ahead of oversight — not scrambling to catch up.

AI Ethics Shield

Comprehensive responsible AI framework: policies, bias testing, model risk management, and ethics committee charter.

6–8 weeks

Model Risk Command Center

Enterprise model inventory, monitoring, and validation framework for all production AI models.

8–12 weeks

Cyber Sentinel AI

AI-augmented threat detection tuned for GCC attack patterns and Arabic-language social engineering.

10 weeks + 12-month tuning

RegTech Radar

AI-powered regulatory intelligence — auto-classifying impact, mapping to policies, generating compliance task lists.

8-week MVP