AI+ Support
Vendor-neutral AI enablement — from readiness to production, across every major platform
Brocent helps you assess, build, and run AI safely — whether that's Microsoft Copilot, Claude, ChatGPT, Gemini, or DeepSeek, hosted on AWS, Azure, or Google Cloud. One partner for AI advisory, technical support, infrastructure, application integration, and cost control, delivered across mainland China, Hong Kong, Singapore, and Malaysia.
In short: AI+ Support is Brocent's managed AI service line: readiness assessments and governance advisory, day-to-day technical support, cloud AI infrastructure builds, API and application integration, and expense metering — across Microsoft Copilot, Claude, OpenAI, Gemini, and DeepSeek, delivered alongside your existing IT support contract.
Platform Coverage
We work across the AI platforms our clients actually use — not just one vendor's stack.
Platform and product names are trademarks of their respective owners. Brocent is an independent managed IT provider — not an official reseller or partner of any vendor listed above unless stated for a specific engagement.
Why This Needs an MSP, Not Just a License
Buying an AI seat isn't the same as getting value from AI
Most organisations that license Copilot, ChatGPT, or Gemini see low adoption and unclear ROI in the first year — not because the models are weak, but because nobody assessed data readiness, set governance guardrails, or trained staff to use it well.
Governance and compliance gaps — not cost or skills shortages — are consistently the leading blocker to AI adoption industry-wide. That's exactly the kind of structured, jurisdiction-aware work an MSP is built to do.
Brocent treats AI the same way we treat cloud or security: as a managed capability with an assessment, a rollout plan, and ongoing operational support — not a one-time software purchase.
What We Deliver
Six ways Brocent supports your AI initiatives
From a first readiness assessment to running AI workloads in production, pick the level of support that matches where you are today.
AI Advisory & Readiness
Understand where you stand before you commit budget.
- ▸AI Readiness Assessment — Microsoft 365 tenant review, data classification gaps, permission sprawl, and security posture ahead of any AI rollout
- ▸AI Governance & Compliance Advisory — acceptable-use policy, data handling rules, and cross-border compliance mapped to mainland China, Hong Kong, Singapore, and Malaysia
- ▸Use-case discovery workshops — half-day or full-day sessions to identify where AI will actually move the needle in your business
You get: A written readiness/governance report with prioritised findings and a jurisdiction-specific compliance checklist.
AI Technical Support
Day-to-day administration and troubleshooting, folded into your existing support plan.
- ▸Multi-platform administration for Microsoft Copilot, Claude, ChatGPT Enterprise, Gemini, and DeepSeek deployments
- ▸License assignment, access control, and data-hygiene cleanup before and after rollout
- ▸User enablement and prompt training for staff
- ▸Shadow AI detection — identifying unsanctioned AI tool use and data leakage risk
You get: AI administration folded into your existing support ticket queue and SLA — no separate contract to manage.
AI Infrastructure & Cloud Setup
Architecture and deployment for AI workloads that need to run somewhere real.
- ▸Designing and deploying AI infrastructure on AWS Bedrock, Azure AI Foundry, and Google Vertex AI
- ▸Private, on-premises, or China-compliant hosting for regulated or data-sensitive workloads
- ▸GPU capacity planning and inference infrastructure sizing
- ▸Networking, identity, and security hardening for AI workloads — VPC design, private endpoints, secrets management
You get: A deployed, documented AI environment with architecture diagrams and a handover runbook for your own team.
API & Application Integration
Wiring AI models into the systems your teams already use.
- ▸Building APIs and middleware that connect AI models to your CRM, ERP, ITSM, or internal tools
- ▸Retrieval-augmented generation (RAG) pipelines built over your own documents and knowledge base
- ▸Chatbot and agent integration into customer-facing or internal channels
- ▸Custom application development wrapping third-party AI APIs to a specific business workflow
You get: Working API/integration code, deployed into your environment, with documentation your developers can maintain.
AI Expense & Usage Metering
Visibility and control over spend across every AI vendor you use.
- ▸Usage and token metering dashboards across multiple AI platforms and models
- ▸Budget alerts and spend caps to prevent runaway usage costs
- ▸Chargeback and showback reporting broken down by department or business unit
- ▸Cost optimisation — model selection, prompt/response caching, and workload right-sizing
You get: A live spend dashboard across every AI vendor you use, with monthly reporting folded into your account review.
Project-Based AI Engagements
Fixed-scope builds that sit alongside your ongoing support plan.
- ▸Internal RAG chatbot pilots for employee knowledge bases or IT help-desk deflection
- ▸Workflow automation and AI agent builds for specific, repeatable business processes
- ▸AI governance rollout projects — policy, data classification, and staff training as a fixed-fee deliverable
- ▸Pre-AI data and infrastructure readiness projects, cleaning up file shares and permissions before any rollout
You get: A fixed-fee pilot delivered to an agreed scope and timeline, with a clear go/no-go decision point before any wider rollout.
AI+ Support At A Glance
6
support pillars, from advisory to expense metering
5+
AI platforms covered — Copilot, Claude, OpenAI, Gemini, DeepSeek
4
markets with dedicated compliance mapping
4
steps from first assessment to ongoing operation
Engagement Model
Assess, build, operate, then optimise — at your pace
Assess
Start with an AI Readiness Assessment or governance review to establish a clear, jurisdiction-aware baseline before any spend commitment.
Build
Move into a pilot project or infrastructure/integration build — scoped and fixed-fee, sitting alongside your existing support plan.
Operate
Fold day-to-day administration, monitoring, and expense metering into your ongoing managed support retainer.
Optimise
Review usage, spend, and outcomes on a regular cadence, and adjust platform choice, scope, or automation as your AI use matures.
Built for Cross-Border Compliance
AI deployments that respect where your data actually lives
Generative AI regulation differs sharply by jurisdiction. Brocent designs AI deployments around the rules that apply to each market you operate in — not a one-size-fits-all global default.
PIPL / Generative AI Regulations
Algorithm filing, data localisation, and cross-border transfer safeguards for China-resident data
- ▸China-hosted inference options for regulated data
- ▸Cross-border data transfer risk review
- ▸Vendor selection aligned to local AI regulation
PDPO
Data handling and access control for AI tools processing personal data
- ▸PDPO-aligned AI data handling review
- ▸Access control for AI-connected systems
- ▸SFC-ready documentation where applicable
PDPA (PDPC)
PDPA-aware AI deployment and Microsoft 365 governance
- ▸PDPA compliance review for AI tools
- ▸Conditional Access and MFA for AI-connected accounts
- ▸Data retention and minimisation guidance
PDPA 2010
SME and regional-hub AI rollout support
- ▸PDPA 2010 gap analysis for AI use cases
- ▸Asset and access review ahead of rollout
- ▸Regional hub deployment support
Operating across mainland China, Hong Kong, Singapore, and Malaysia, with wider delivery through Brocent's global coverage network. Global coverage →
FAQ
Common questions about AI+ Support
Does our data stay in the region, or leave China? +
It depends on the platform and how it's deployed. For clients with China-resident data, we help you choose China-compliant hosting and inference options and review cross-border transfer risk before anything goes live — we don't assume a global default is acceptable.
Which AI platforms do you actually support? +
We work across Microsoft Copilot, OpenAI/ChatGPT Enterprise, Anthropic Claude, Google Gemini, and DeepSeek, plus the underlying cloud AI services on AWS, Azure, and Google Cloud. If you're using a platform not listed here, ask us — most engagements are platform-agnostic by design.
Can you build a custom AI application, not just deploy a vendor tool? +
Yes. Beyond configuring off-the-shelf AI tools, we build APIs, RAG pipelines, and integrations that connect AI models to your own systems and data — from a chatbot pilot through to a production-grade integration.
How is AI+ Support priced? +
Every engagement starts with a scoping conversation, since AI readiness assessments, infrastructure builds, and ongoing support all vary by scope and platform. Contact us for a quote tailored to your environment.
Do you support on-premises or private AI deployments? +
Yes — for clients with data residency, security, or regulatory requirements, we design and deploy private or on-premises AI infrastructure, including GPU capacity planning, as an alternative to public cloud AI services.
Can you help us control AI spend across multiple vendors? +
Yes. We set up usage and token metering, budget alerts, and chargeback/showback reporting so you have one view of AI spend across every platform you use, rather than piecing it together from separate vendor invoices.
Related Services
AI+ Support pairs well with
AI initiatives usually touch security, cloud, and infrastructure — these services are built to work alongside AI+ Support.
Ready to make AI actually work for your business?
Start with a readiness assessment, or talk to an engineer about your specific AI infrastructure, integration, or support needs.