AI-Agent Methodology

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Use When

• The deliverable is one or more AI agents, a multi-agent system, or an agentic layer inside an existing product.
• The buyer expects investor-grade or board-grade rigour: agent ROI that survives a sceptical CFO, agentic evidence that survives a sceptical CTO, procurement answers that survive a sceptical CISO, and a Responsible-AI commitment that survives the general counsel and the regulator.
• The Methodology section must demonstrate simultaneous mastery of agentic engineering (action catalogue, autonomy levels, oversight, kill-switch, audit), agentic safety (eval, red-team, drill, intervention SLO), and agentic operations (drift watch, regression, escalation).
• The engagement faces AI-specific regulators (EU AI Act, Kenya NCAIS, Nigeria NAIS, South Africa AI policy, Uganda NITA-U, Rwanda AI Policy, sectoral).
• A generic AI methodology or a generic SaaS implementation methodology will not pass evaluator scrutiny.

Do Not Use When

• The engagement is a non-agent AI build (use ai-on-saas-combined-methodology).
• The engagement is generic AI strategy with no agentic deliverable (use ai-transformation-proposal).
• The engagement is a pure consulting assignment without software delivery.

Required Inputs