Run AI
Scale From One Agent to an Enterprise Portfolio – Without Building the Team
Run AI embeds a fractional Agentic AI Centre of Excellence – AI Solutions Architect, MLOps Engineer, and AI Governance Lead – to operate your agent portfolio end-to-end with continuous compliance and quarterly ROI reviews.
Run AI is delivered as a managed service and grows your AWS Bedrock and SageMaker consumption – CirrusGo helps align it to AWS commitment and drawdown programs you may already hold.
Ready to
scale your agent portfolio?
What We Deliver
- Deploys new agents on a quarterly cadence as your portfolio grows.
- Monitors performance and detects model drift before it impacts outcomes.
- Retrains models and optimizes cost per agent.
- Maintains continuous NCA / SAMA / PDPL / SDAIA compliance with full audit trails.
- Delivers a live agent-portfolio dashboard and a quarterly business review showing ROI per agent.
An AI Solutions Architect, an MLOps Engineer, and an AI Governance Lead – embedded and accountable – for a fraction of the cost of building the function in-house, powered by Amazon Bedrock AgentCore, Strands Agents, Bedrock Guardrails, and SageMaker AI model monitoring.
Run AI scales with your portfolio across Foundation, Growth, and Enterprise tiers – differing by number of agents under management, monitoring cadence, review frequency, and SLA. Speak with our team to match a tier to your estate.
- Governed by default: compliance and guardrails managed continuously, not audited annually.
- ROI you can see per-agent ROI in every quarterly review.
- Built to compound: each quarter adds agents and capability without adding headcount.
The organizations that sustain AI adoption are the ones that build internal capability alongside external delivery. CirrusGo’s workshops ensure your teams can govern, operate, and improve AI systems independently, not remain dependent on a consultancy indefinitely.
- AI Foundations for Business Leaders, a half-day session for executives and non-technical decision-makers covering what AI can and cannot do, sector-proven use cases, governance requirements, and how to evaluate AI investment proposals.
- AWS AI Technical Workshop, hands-on training for engineers and architects on Amazon Bedrock, SageMaker deployment patterns, AI security controls, and MLOps practices. Participants leave with working prototypes.
- Arabic GenAI Capability Workshop, focused training on Arabic model selection, fine-tuning for Arabic, evaluation frameworks, and SAIRA methodology. Includes Arabic-specific hands-on exercises.
- Custom workshops, designed to your team’s specific context, sector, and current AI maturity. No generic slide decks.
What is an Agentic AI Centre of Excellence?
A small, accountable team and operating model that runs your AI agents in production – deploying, monitoring, retraining, securing, and governing them – so AI becomes a managed capability rather than a series of one-off projects.
How is compliance handled on an ongoing basis?
Run AI maintains continuous alignment to KSA: NCA, SAMA, PDPL, and SDAIA (and UAE / Bahrain equivalents) with guardrails management and full audit trails, reviewed in your quarterly business review.
Do you share Run AI pricing?
Run AI is offered in tiers matched to your agent estate and SLA needs. We share pricing in a short consultation once we understand your portfolio – the public focus is on outcomes and governance, not list prices.
Every AI system CirrusGo builds is designed to be owned by your organization, not to create permanent dependency on ours. We document every architecture decision, train your team on every tool, and hand over every credential and access right at project close.
Case Studies
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