AI Engineering for
Enterprise Outcomes
CSI and Anglez deliver production-grade AI systems with measurable outcomes, governed rollout, and managed optimisation from day one.
50+
Models Deployed
30+
Agentic Workflows
8/8
Delivery Stages Accelerated
3x
Typical Execution Velocity
Pick the business problem. We engineer the AI system behind it.
Each track is delivered as a scoped implementation with defined outputs, governance controls, and measurable outcomes.
Track Overview
AI Service Copilot
Deploy a governed copilot that assists triage, summarizes context, recommends next-best actions, and routes work based on policy.
Core Deliverables
- Role-specific assistant experiences
- Secure connectors to knowledge and ticketing tools
- Evaluation harness with quality scorecards
Expected Outcomes
Delivery Blueprint
A rollout model built for enterprise reality
01
Discovery Sprint
Map bottlenecks, identify value pools, and align on measurable success criteria.
02
Solution Blueprint
Define model strategy, architecture, security controls, and integration boundaries.
03
Pilot Build
Build a production-like pilot with real data, observability, and acceptance tests.
04
Harden & Validate
Run red-team checks, quality evaluations, and operational readiness reviews.
05
Rollout
Deploy in controlled waves with enablement, governance checkpoints, and adoption plans.
06
Managed Optimisation
Continuously tune prompts, retrieval, agent logic, and cost-performance posture.
Business Outcomes
Business outcomes you can expect
Reduce admin overhead by consolidating Microsoft 365 and D365 operations
Improve collaboration quality and data consistency across teams
Strengthen security posture with governed controls and ongoing hardening
Accelerate execution through workflow automation and AI assistance
Increase user adoption with practical enablement and support
Maintain compliance and auditability with clear governance patterns
Choose the right way to start
Structured engagement options designed for different levels of readiness, from first use-case discovery to enterprise-scale rollout.
Book a discovery callDiscovery Sprint
2 weeksBest for: Teams defining first AI use-case
- Use-case prioritization and value mapping
- Technical feasibility and risk assessment
- KPI baseline and implementation roadmap
Pilot Build
4-6 weeksBest for: Teams needing validated business impact
- Working solution in one business function
- Governance controls and evaluation framework
- Adoption plan with measurable outcomes
Scale Program
8-12 weeksBest for: Enterprises rolling out across teams
- Multi-team rollout and operating model setup
- Integration with enterprise systems and workflows
- Managed optimisation with quality and cost controls
FAQ
Questions teams ask before implementation
Start with a 1-2 week discovery sprint to rank high-value use cases by impact, feasibility, and data readiness. We then implement one focused pilot before scaling.
Ready to move from idea to impact
Build your first production AI solution in weeks, not quarters.
Start with a discovery sprint. Leave with a scoped roadmap, measurable outcomes, and a clear delivery plan your teams can execute.