AI-as-a-Service (AIaas)

Enterprise AI Delivered as a Secure, Managed Service

Why AIaas?

Generative AI is changing how work gets done — but for most enterprises, the path from idea to measurable business impact is messy, slow, and full of risk.

You may have:

  • Spun up a few AI pilots, but can’t get them into production.

  • Built custom AI tools that are hard to maintain or scale.

  • Faced pushback from risk, compliance, or IT security.

  • Struggled with a shortage of skilled AI engineers.

AI as a service (AIaas) from AgenticScale.ai removes these barriers.

We deliver AI solutions as a fully managed service, using our Agentic Mesh architecture and Agent Builder platform to design, orchestrate, and run AI agents in your enterprise — securely, quickly, and at scale.

What is the Agent Builder?

AIaaS is our turnkey model for delivering AI capabilities that:

Plug directly into your workflows — no heavy internal build needed.

Are governed from day one with built-in compliance and security.

Can be scaled on demand without additional infrastructure investment.

Continuously improve through feedback loops and ongoing optimisation.

Think of it as AI “on tap” — you decide the outcomes you want, and we handle the design, deployment, and operation.

Core Benefits of AIaaS

  • We combine pre-built agent templates with custom workflows to get your first solutions into production in weeks, not months.

  • AIaaS is delivered inside the Agentic Mesh — meaning every AI action is:

    • Logged and auditable.

    • Bound by policies and permissions.

    • Protected by least-privilege access controls.

    • Monitored for accuracy, safety, and compliance.

  • We run the agents, infrastructure, and governance for you.

    • Scale from a handful of agents to hundreds without adding internal resources.

    • Expand use cases without re-engineering.

    • Pay for what you need, when you need it.

  • With our vendor-neutral approach, you’re not locked into a single model provider.

    We select the right model for the right task, drawing from:

    • OpenAI GPT series

    • Azure OpenAI

    • Google models

    • Open-source LLMs

    • Domain-specific specialised models

  • AIaaS isn’t a “set and forget” service.

    We monitor, measure, and refine continuously — improving accuracy, efficiency, and user satisfaction over time.

How AIaas Works

We’ve distilled enterprise AI delivery into five stages — each backed by the Agentic Mesh and Agent Builder.

  • Workflow Builder

    Discovery

    We work with your teams to:

    ✔ Map existing processes, data sources, and AI experiments.

    ✔ Identify quick-win opportunities for automation and augmentation.

    ✔ Align to your strategic and compliance priorities.

  • Solution Design

    Using Agent Builder, we:

    ✔ Design AI workflows that integrate into your existing systems.

    ✔ Select the best combination of models, tools, and triggers.

    ✔ Embed governance and compliance requirements from day one.

  • Deployment

    Your AI solutions are deployed into the Agentic Mesh, ensuring:

    ✔ Secure ingestion of enterprise data (via DataFusion).

    ✔ Logical modelling for safe, accurate retrieval.

    ✔ End-to-end observability of every agent and workflow.

  • Adoption Enablement

    We drive user adoption with:

    ✔ In-context training and onboarding materials.

    ✔ Change management strategies to embed AI into day-to-day operations.

    ✔ Feedback capture directly from users.

  • Optimisation

    We operate your AI agents as living systems:

    ✔ Monitor performance and costs in real time.

    ✔ Run A/B tests on prompts, models, and configurations.

    ✔ Apply continuous learning and retraining where beneficial.

AIaas Delivery Models

  • Managed Outcome

    We own the entire lifecycle — from design to operation — delivering you a defined outcome or KPI.

  • Co-Managed

    We design and deploy the AI solution, and your internal teams operate it with our support.

  • Hybrid

    We operate high-risk or high-complexity agents, while lower-risk agents are run by your team.

Example Use Cases Delivered via AIaas

  • Customer Support Automation

    Customer Support Automation

    ✔ Multi-channel chat & voice agents.

    ✔ Knowledge retrieval from enterprise data.

    ✔ Escalation to human agents with full context handover.

  • Sales & Marketing Enablement

    ✔ Personalised outreach agents.

    ✔ Proposal and RFP automation.

    ✔ Real-time sales intelligence.

  • Operations & Process Automation

    ✔ Document classification and processing.

    ✔ Compliance monitoring agents.

    ✔ Workflow orchestration across systems.

  • Industry-Specific Agents

    ✔ Financial Services: KYC automation, regulatory reporting.

    ✔ Healthcare: Secure patient data handling, virtual health assistants.

    ✔ Energy & Utilities: Asset monitoring, safety reporting.

Why AIaaS is Different

  • Every solution we deliver is governed, observable, and secure from day one.

  • We don’t hand-code one-off bots — we design scalable, reusable, configurable agents.

  • We pick the best model for the job, not the one we’re locked into.

  • Our methodology reduces time-to-value, increases reuse, and avoids “pilot purgatory.”

  • We fit into your team’s structure and risk appetite.

AIaas Engagement Flow

  • Workflow Builder

    Engage

    Initial scoping, stakeholder alignment.

  • Design

    Workflow architecture in Agent Builder.

  • Deploy

    Integration into the Agentic Mesh.

  • Enable

    Training and change management.

  • Optimise

    Continuous improvement cycle.

Who Buys AIaaS?

Chief Technology Officers – want to accelerate AI delivery without overburdening internal teams.

Chief Information Officers – need AI integrated into enterprise architecture securely.

Chief Operating Officers – looking for measurable efficiency gains.

Business Unit Leaders – seeking competitive advantage through AI-driven automation.

AIaaS is priced as a service subscription with:

  •  Base Platform Fee

    Base Platform Fee

    Covers Mesh hosting, governance, and maintenance.

  • Per-Agent/Workflow Fee

    Based on complexity and resource consumption.

  • Optional Outcome-Based Pricing

    For defined, measurable KPIs.

Results Our Clients See

60–80% reduction in time-to-market for AI solutions.

70%+ reuse rate of agents across multiple use cases.

Consistent compliance adherence without slowing delivery.

Lower AI operating costs through model optimisation and scaling.

From First Pilot to Enterprise-Wide AI With AIaaS, you can:

Start small with one or two high-impact workflows.

Scale quickly as results are proven.

Expand across functions, geographies, and business units — without starting from scratch each time.

Why Choose AgenticScale.ai for AIaaS?

Because we:

  • Bring deep technical expertise in multi-agent systems.

  • Have a proven architecture for enterprise AI success.

  • Operate with a governance-first mindset.

  • Offer flexible engagement models that meet you where you are.

We don’t just deliver AI — we deliver enterprise transformation.