Agentic AI Transformation

Executive-grade guidance for organisations that need to adopt agentic AI safely, calmly and at scale.

Technology / L2 detail

Architecture

Technology11 Level 3 activities

Linked Level 3 activities

Level 3

API design and integration

M

Design APIs for agent orchestration (idempotency, retries, transactional boundaries, compensating actions) rather than simple prompt-in / text-out patterns

Open Level 3 detail

Level 3

Microservices and modular design

M

Modularise capabilities so agents can compose and swap tools/services dynamically, beyond embedding GenAI inside monolith workflows

Open Level 3 detail

Level 3

Event-driven architecture

M

Shift from “user-triggered GenAI” to agents reacting to events, maintaining state, and initiating multi-step actions automatically

Open Level 3 detail

Level 3

Data pipelines and orchestration

L

Evolve pipelines from feeding models to supporting continuous agent context refresh, policy checks, and remediation triggers

Open Level 3 detail

Level 3

Permissions and access model (RBAC / ABAC)

L

Extend human RBAC into agent identities and fine-grained tool/data entitlements, including per-task scoped permissions and action class constraints

Open Level 3 detail

Level 3

Runtime action ring-fencing and safety wrappers

M

Add hard technical boundaries around what agents can do - tool allowlists, parameter validation, spend/impact limits, jurisdiction constraints, red-line proximity checks, and kill-switch hooks enforced outside the model

Open Level 3 detail

Level 3

DevSecOps control gates in CI/CD

M

Insert policy-as-code and evaluation gates for agent behaviours (tool use, escalation, unsafe actions), not only model quality checks

Open Level 3 detail

Level 3

Secure experimentation sandbox (high-trust build environment)

M

Provide an isolated sandbox lane where teams can prototype agents with temporarily elevated permissions using controlled data and hardened tool stubs, with strict egress controls and full tracing

Open Level 3 detail

Level 3

Fallback and safe-state design

M

Add explicit safe-states, kill-switches, and manual override paths for autonomous execution, not just “model unavailable” handling

Open Level 3 detail

Level 3

Explainability instrumentation and provenance capture

M

Instrument agent runs so “why did it act” can be reconstructed - action rationale capture, evidence linking, step-level traces, and context provenance (not just final outputs)

Open Level 3 detail

Level 3

Evidence automation and compliance reporting pipelines

M

Automate evidence collection from build/run systems (tests, approvals, policies, logs, monitoring) into continuously updated evidence packs

Open Level 3 detail