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AI Engineering for
Enterprise Outcomes

CSI and Anglez deliver production-grade AI systems with measurable outcomes, governed rollout, and managed optimisation from day one.

Book AI Discovery SprintExplore Solution Tracks

50+

Models Deployed

30+

Agentic Workflows

8/8

Delivery Stages Accelerated

3x

Typical Execution Velocity

Solution Tracks

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

Faster first responseReduced repetitive workloadImproved case resolution consistency

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

1

Reduce admin overhead by consolidating Microsoft 365 and D365 operations

2

Improve collaboration quality and data consistency across teams

3

Strengthen security posture with governed controls and ongoing hardening

4

Accelerate execution through workflow automation and AI assistance

5

Increase user adoption with practical enablement and support

6

Maintain compliance and auditability with clear governance patterns

Engagement Models

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 call

Discovery Sprint

2 weeks

Best 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 weeks

Best 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 weeks

Best 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.

Book AI Discovery SprintTalk to AI Engineering Team
Security-first deliveryOutcome-based executionTeam enablement included