Service / Agentic AI as a Service

Managed Agent Build

Build production-grade agents on AAIOS using reusable orchestration, policy, evaluation and integration patterns.

Business context

What this capability solves

Prototype agents often bypass software engineering, identity, testing and operational controls. Managed Build turns approved designs into production services with repeatable engineering standards.

EBP Integra delivery principle

Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.

Deep-dive capabilities

Capability model

Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.

Agent Runtime Engineering

Implement AAIOS-compatible agents, task graphs, state handling and retries.

Model Abstraction

Use governed model routing so agent logic is not hard-wired to one provider.

RAG / Data Integration

Implement retrieval authorization, source metadata, citations and freshness.

Tool Integration

Build validated adapters to approved enterprise APIs and applications.

Policy Enforcement

Integrate action gates, data controls, approval and limits.

CI/CD & Testing

Version prompts/configuration/code, automate tests and manage environment promotion.

Reference architecture

How the capability fits together

Final topology, control placement and deployment model are validated during discovery and detailed design.

Business & Agent Portfolio

Use cases, agent owners, risk tiers, process boundaries and value hypotheses.

AAIOS Control Plane

Agent registry, orchestration, identity, policy, approvals, memory, tool/model gateways and evaluation.

Enterprise Execution

Models, RAG, APIs, SaaS, databases, workflows and sandboxed agent runtimes.

AgentOps

Observability, SLOs, cost, incident handling, kill switch, evidence and continuous optimization.

Controls & governance

Least-privilege agent/workload identity
Human approval for high-impact actions
Approved tool schemas and transaction validation
Data classification/DLP at model and tool boundaries
Memory retention and deletion policy
Comprehensive traces and action provenance
Evaluation gates before production
Kill switch, rollback and incident escalation

Priority use cases

New enterprise agent
Prototype-to-production conversion
Multi-agent workflow
Internal assistant modernization
API-driven automation

Key deliverables

Production agent code/config
AAIOS deployment package
Integration adapters
Automated tests
Release pipeline
Operations documentation

Integration considerations

AAIOS
Enterprise IAM/workload identity
APIs and SaaS systems
Data platform and RAG/vector stores
Workflow/BPM/ITSM
SIEM/SOAR and observability
GRC/evidence systems
Model endpoints/gateways

Implementation

Phased delivery

Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.

1. SelectPrioritize workflows by value, feasibility, risk and data/tool readiness.

2. EngineerDesign agents, tools, RAG, policy, human checkpoints and AAIOS runtime.

3. AssureSimulate, evaluate, red-team, approve and define SLOs.

4. OperateRun through AgentOps, manage incidents and continuously optimize.

Outcome and KPI framework

Release frequencyAutomated test coverageBuild defect rateTool-call successDeployment rollback rate