AI Managed Services

Your AI systems need the same expertise that built them. We provide it every month.

AI platforms do not run themselves. Models drift, integrations break, usage patterns change, and governance requirements evolve. Synapsys provides ongoing operation, optimisation and governance for the AI systems you already have, or the ones we helped you build. Serving organisations across Malaysia, Singapore and Southeast Asia.

Not a one-off project. Not a helpdesk ticket queue. A proper ongoing operations partnership.

Which service fits?

Run what you have, or build something new?

AI Managed Services is for when your AI systems are already live and need ongoing expert operation. AI Automation & Solutions is for when you want to build new capability: agents, workflows, or AI-native software, to automate tasks and reduce manual work.

This service

AI Managed Services

Synapsys owns ongoing operation of your live AI environment on a rolling monthly retainer.

  • Monthly retainer, rolling engagement
  • Monitoring, optimisation and governance
  • Covers live AI platforms, agents and integrations
  • For systems already in production
  • Continuity from implementation or automation projects

Monthly retainer · Dedicated AI ops · Performance reporting

Also consider

AI Automation & Solutions

Execution-based, tactical delivery to build agents, workflow automation, and AI-native software.

  • Improve efficiency and reduce manual labour
  • Custom AI agents and internal assistants
  • AI-native apps, portals and platforms
  • Project delivery with defined scope, not ongoing ops

Who this is for

Built for organisations with live AI systems and no one to run them properly.

This service works best when you already have AI in production and need a partner to operate it reliably. If you are still building automation or assessing readiness, see AI Implementation or AI Agents & Automation instead.

Live AI with daily business impact

You have agents, automations, or integrations that staff or customers use every day. When quality drops or something breaks, operations feel it immediately. You need ongoing ops, not a project team picking it up between other work.

No in-house AI ops capacity

Your IT team handles infrastructure but not LLM pipelines, agent workflows, or model performance. You need specialist capacity without a full hire.

Governance without a dedicated function

Leadership wants AI used responsibly, with access controls, usage policies, and audit trails, but no one owns it day to day.

Systems that must keep improving

Prompts, models, and integrations that worked at launch will not stay optimal. You need ongoing refinement, not set-and-forget.

What we Manage

Everything your AI environment needs to stay reliable, useful and governed.

A managed services retainer covers the full AI operations function. You get a dedicated team that monitors, maintains, optimises and reports on your agreed AI platforms and workflows.

Platform monitoring and incident response

Uptime monitoring, error tracking, alert triage and resolution for AI agents, APIs and integrations. Problems surfaced and fixed before users report them.

Model and prompt optimisation

Ongoing tuning of prompts, retrieval configurations, and model selection as usage patterns and business requirements change.

Integration and data pipeline maintenance

API connections, data flows, and third-party platform updates managed and tested. Breaking changes caught before they reach production.

AI governance and compliance

Access controls, usage policies, audit logging, and PDPA-aligned data handling practices maintained and documented.

Performance and cost reporting

Monthly reporting on usage, response quality, error rates, and inference costs. Recommendations for what to change next month.

Continuous improvement backlog

A prioritised queue of enhancements (new use cases, workflow improvements, and capability expansions), scoped and delivered within the retainer rhythm.

Suited for

The organisations that get the most from this service.

AI managed services works best when there are live systems with real users and a leadership team that wants AI to deliver ongoing value, not a pilot that stalls after launch.

Mid-market with live AI deployments

Companies with AI agents, chatbots, or LLM integrations in production, typically 50 to 500 staff, that cannot justify a full in-house AI ops team yet.

Regulated or data-sensitive industries

Financial services, healthcare, professional services, and government-linked companies where AI governance is not optional.

Teams scaling AI across departments

Organisations moving from one successful AI use case to several, and needing consistent standards, monitoring, and governance across all of them.

Not sure if you are the right fit? Talk to us. We will tell you honestly if another service is a better starting point.

How the retainer works

A structured monthly rhythm, not reactive firefighting.

Managed services only work with a clear operating model. Here is how we run AI operations every month.

Week 1

Monthly ops review

30-minute call to align on priorities, upcoming changes, and any business context affecting AI workflows. We take it from there.

Week 2–3

Monitoring, maintenance and optimisation

Systems monitored daily. Prompt and integration adjustments deployed. Mid-month status update with any flags or early wins.

Week 4

Monthly performance report

Full report before month end. Usage, quality metrics, incident summary, cost analysis, and planned improvements for next month.

Always on

Direct access to your team

Dedicated channel for urgent issues. You talk to the engineers running your systems, not a ticket queue.

Your role

What you hand over, and what you keep

You stay in control of strategy and priorities. We run the operation day to day.

We take

What you hand over to us

From the first month, these responsibilities move to Synapsys.

  • Daily monitoring and incident triage
  • Prompt, model and integration maintenance
  • Governance documentation and access reviews
  • Vendor and platform update management
  • Performance diagnostics and root-cause analysis
  • Monthly reporting and improvement planning
You keep

What stays with you

Business direction and approval on anything that affects customers.

  • Business priorities and use-case direction
  • Final approval on changes affecting customer-facing behaviour
  • Budget decisions on platform and inference spend

Everything operational is ours to handle. You get visibility and control without the daily load.

Why Synapsys

The team that built it can run it. Or we step in where others left off.

Continuity from the team that built it

If Synapsys delivered your system, whether via AI Implementation (platform integration or custom models) or AI Automation & Solutions, the same engineers who know the architecture continue to operate it. No handover gap, no knowledge lost.

European governance standards, local delivery

Structured ops practices drawn from Synapsys Group's consulting heritage: status reporting, change management, documented governance, delivered by a team that understands Malaysian business context.

Outcomes over activity

Monthly reports tied to system reliability, usage quality, and cost efficiency, not slide decks counting tickets closed. You see what changed and what we are doing next.

Still have questions?

Tell us about your AI environment and current support setup. We will tell you whether managed services is the right fit and what a retainer could look like. No pitch, no commitment.

Book free consultation
FAQ

Common questions about AI managed services

Monitoring, incident response, prompt and model optimisation, integration maintenance, governance documentation, and monthly performance reporting, scoped to your agreed platforms and workflows. Exact deliverables are defined in your retainer scope before we start.
AI Automation & Solutions is about building new capability: agents, workflow automation, AI-native apps, to improve efficiency and reduce manual work. It is execution-based and project-driven. AI Managed Services is what comes after: ongoing operation, optimisation and governance of the systems already live in your environment. If you need something built, start with AI Agents & Automation or AI Native App Development.
AI Implementation is part of the AI Transformation journey, typically after an AI Readiness Assessment. It covers structured deployment: either platform integration (connecting to market leaders like Claude or Gemini) or custom models (RAG, fine-tuning on your company data). Most implementation clients transition to managed services after go-live and hypercare. If you have not implemented yet, start there, not here.
Yes. We regularly take over operation of live AI platforms built internally or by third parties. We start with a technical assessment to understand the architecture, then scope the retainer around what needs running.
Scope depends on the number of platforms, integration complexity, and governance requirements. We provide a scoped proposal after an initial assessment call. No fixed pricing on the website because every AI environment is different.