AI Agents

Keep investment edge in-house, buy or partner for commodity workflows, and design recordkeeping, vendor oversight and human sign-off in from day one. Reg S-P, AI-washing and architecture principles.

There is no single best AI agent framework. LangGraph, OpenAI Agents SDK, Claude Agent SDK, Google ADK, Microsoft Agent Framework and others compared by design, with five questions that decide it.

Agents lack trust infrastructure, not intelligence: authorisation, authenticity and accountability. What AP2 and the Agentic Commerce Protocol do, and a safe design for business transactions today.

AI agents should get less default access than a new developer. OWASP Excessive Agency, the controls to enforce outside the prompt, and an access review for agents already running.

Most fintech AI agents are not blocked by a rule against agents. They stall because nobody can show what the agent may do, how its decisions are explained and who owns the outcome.

Agent token costs vary tenfold between an easy task and a messy one. Price off p90 cost per task, cut cost with caching and routing, and pick a billing unit that moves with it.

The developer’s hourly rate is the smaller and more predictable half of an agent project. The evaluation harness, the integration work and the per-run inference cost are what actually decide the bill, and here is how to price all three before you sign.

The hard part of a working agent is not the model or the framework. It is scoping a task narrow enough to be reliable and designing what happens when it is wrong. Workflow versus agentic loop, why tool design carries most of the quality, the guardrail set that matters, building an eval set before you build the agent, and how token spend accumulates in a loop.

n8n ships releases most working days and raised $180m in late 2025, so dead is the wrong word. What LLMs killed is the middle of the market. A clear-eyed look at n8n fair-code licence, its real project health, per-execution vs per-task billing, and a checklist for deciding whether an automation belongs in a visual tool, a hosted platform, or code.

Agentic AI is reshaping how global companies operate in 2026. Discover why USA, UK, Canada, and Australian enterprises are outsourcing AI agent development, RPA, and ML backend operations to India — and how AB7 Solutions delivers at 60–70% lower cost.