About Us
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Data & AI Consulting
by turning data foundations into AI advantage
Explore our expertise ↗ABOUT 8INSIGHTS
At 8Insights, we firmly believe that the future of business strategy hinges on the remarkable potential of data and AI together. AI is only as smart as the data and context behind it. That is why we build trusted, governed data foundations and wrap them in business context, from semantic models to ontologies, so that AI understands your business the way your people do.
We use intelligent agents to build these foundations in a fraction of the time traditional methods take, then put generative AI to work on top of them. Data and AI are all we do, and we help businesses turn them into faster decisions and measurable outcomes, with the security and accountability that enterprises expect.
Define the outcome
Identify what matters
Enable intelligent action
Senior specialists, amplified by AI.
Agents across design, build and test.
Governed AI. Traceable answers.
WHAT WE DO
DATA AND AI STRATEGY
Align your data and AI investments with business priorities through practical strategy, governance, and an actionable roadmap.
Virtual CDO services
Data and AI strategy
Gap analysis and architectural roadmap
Governance and data quality management advisory
Use case driven solution architecture
AI-READY DATA FOUNDATION
Create trusted, connected data foundations with business context, automated pipelines, and secure access across your organisation.
Data modelling and business context
Agent built pipeline and migration automation
End-to-End Pipeline orchestration
Secure data sharing and collaboration
INTELLIGENT ANALYTICS AND INSIGHTS
Give people trusted metrics and intuitive ways to explore data, uncover insights, and act with confidence.
Natural language analytics and conversational BI
Governed semantic layer and metrics
AI-assisted insight generation and storytelling
Embedded analytics in the tools people already use
Data democratisation and adoption
ADVANCED ML & PREDICTIVE ANALYTICS
Turn business questions into predictive models that are designed, deployed, and managed for real-world use.
Use case discovery and ML feasibility
ML model design and development
Feature engineering and feature stores
Forecasting and predictive analytics
Model lifecycle operationalization (MLOps)
Model monitoring, drift detection and retraining
AGENTIC AI ENGINEERING
Build and operate AI agents and applications that work with your enterprise data to support decisions and automate workflows.
Agent design, orchestration and deployment
Generative AI applications on your enterprise data
Workflow automation with AI agents
Evaluation, guardrails and AI governance
Production operations for AI (LLMOps)
FORWARD DEPLOYED DATA AND AI TEAMS
Bring experienced data and AI specialists into your teams to solve challenges, build capabilities, and move from prototype to production.
Forward deployed engineers & architects
Delivery pods, prototype to production
Training and enablement
Flexible engagement models
PARTNERSHIPS
Elite Services Partner, Snowflake AI Data Cloud
We build AI ready data foundations and intelligent agents on Snowflake, from prototype to production.
Working with Snowflake since 2015
Local Snowflake user community leaders
Authorized Snowflake reseller
Snowflake Squad members on our team
SNOWFLAKE SERVICES PARTNER / ELITE
The right tools. Working together.
CLOUD PLATFORMS
DATA, CONTEXT & GOVERNANCE
AI AND MODELS
CLIENT SUCCESS
Busiest International Airport
Serving 95 million passengers a year, Dubai Airports needed a way to organise its data at scale. We delivered the full journey: defined the data strategy and governance blueprints, conducted use case discovery, built an enterprise conceptual data model, then implemented the cloud architecture and pipelines for priority data products, ready for secure data sharing across stakeholders.
Public Finance
Financial data was fragmented across the Abu Dhabi government. We advised on the data strategy and roadmap, designed a future-ready hybrid cloud architecture, and defined an operational governance model, laying the foundation for a single source of truth, better data quality, and data-driven decisions.
Diversified Conglomerate
Zahid Group needed one trusted view across the 30+ companies in its portfolio. We built an enterprise data foundation on Snowflake from the ground up, with 50+ data products across finance, sales, warehouse and inventory, aftermarket, and more. The result: the group runs on one governed, AI-ready platform, with natural language analytics on top.
Higher Education
As the UAE’s largest higher education institution, HCT needed a unified data estate across 17 campuses. We assessed its current state across architecture, governance, quality, and AI readiness, then defined the target data strategy and a clear roadmap, laying the foundation for data-driven growth and future data and AI initiatives.
KSA’s Largest FMCG Group
160+ subsidiaries. 19 operating units. 11 countries. And an ERP migration underway. We built the data platform on Snowflake and engineered a seamless coexistence architecture, ingesting from legacy and new ERP systems in parallel and reconciling both through sophisticated merge logic. With governance and security intact, every market now works from one consolidated set of KPIs.
Construction Machinery & Commercial Vehicles
A Caterpillar partner across 10 operating countries, Tractafric needed its commercial data flowing freely, rather than locked inside Salesforce. We launched its Snowflake foundation and built a two-way Salesforce data share, extending it across Aftermarket and Prime for One Funnel, one of the largest data-sharing initiatives in the world.
01 / 04
Bojan Gasic
8Insights gave us a clear blueprint for a solid data foundation. The conceptual data model stood out, giving business teams and data engineers a common language for our complex airport data landscape.
Senior Manager – Data & AI
Mohamed Menakbi
What stands out about 8Insights is their commitment to the Snowflake ecosystem in the region, from the work they deliver for customers to the time they invest in the user community.
Partner Sales Director META
Saiyid Tahir
Working at the scale of Savola means data touches every part of the business. As one of the earliest adopters of Snowflake in the region, we needed a partner who could keep pace with us. 8Insights brought the expertise and a real passion for building the foundation right.
Chief Data Officer
Thu Aung Zin
Before committing to a major data modernization program, we wanted an independent view. 8Insights reviewed our architecture and shaped the target data & AI strategy that gave us the confidence to move ahead.
Manager – Data & AI Technology
HOW WE WORK
OVERVIEW
Getting an agent to work once is easy. Keeping it dependable every day in production, with people who trust it, is where the discipline lies. The principle is simple: people set the goals and guardrails, and agents work within them. Every phase ends with a human review, every agent is tested before it ships, and every action leaves a trail that can be audited and replayed. Autonomy is earned rather than assumed. It grows only as the evidence does, and what agents learn in operation informs the next round of discovery.
Trust of this kind is designed, not declared. Governance and security enter in the first phase and remain throughout the cycle, so each agent works within clear access controls, policies, and oversight. This allows agents to take on real work while managing risk, and organisations to scale them with confidence.
PHASE 01 / 05
Set goals, context and guardrails
Before anything is built, the process workflows need to be understood. Discovery maps how work is actually done and where an agent could help, with AI accelerating the synthesis of workshops, documents, and process data. People decide which use cases matter and what success looks like.
PHASE 02 / 05
Turn goals into working solutions
Design translates the brief into a precise specification: what the agent may do, which tools and data it can access, and where a person must step in. Build brings that specification to life through short iterations, each tested against the success criteria agreed in discovery before the next begins.
PHASE 03 / 05
Coordinate agents, tools and process workflows
The value of agents compounds when they work together, with the systems around them and the people beside them. Orchestration designs that collaboration: who does what, how work is handed over, and when a person is brought in. It also prepares the organisation through new roles, new routines, and the change management that helps them take hold.
PHASE 04 / 05
Check the work, release it safely
Trust is established before release. This phase confirms that the solution meets the success criteria agreed in discovery through structured testing, security and risk reviews, and formal business sign-off. Release follows in stages, with rollback plans and the support teams need to adopt the change.
PHASE 05 / 05
Monitor, learn and improve
Every release produces evidence, and this phase puts it to work. Quality, cost, risk, and adoption are monitored in daily use against the goals set in discovery. Feedback from the people using the system—from a simple thumbs-up or thumbs-down to a correction or override—becomes part of that evidence and is reviewed with the teams closest to the work. These findings inform the next round of discovery, and autonomy expands only as the evidence supports it.
YOUR NEXT CHAPTER
Tell us what you’re working towards. We’ll connect you with the right expert.
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