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Agentic AI: systems that plan, act and check their work
Agentic AI goes beyond answering questions. These systems break a goal into steps, use tools, look things up, take actions and review the results.
Agentic AI goes beyond answering questions. These systems break a goal into steps, use tools, look things up, take actions and review the results. That power brings risk: an agent with the wrong permissions or no oversight can do real damage. We design agentic systems with clear boundaries, strong evaluation and humans in the right places.
What’s included
- Task analysis: where agentic approaches add value over simple automation or a single prompt
- Architecture for planning, tool use, memory and multi-agent coordination
- Tool and API design with the minimum permissions required
- Human-in-the-loop approvals for actions with financial, legal or customer impact
- Evaluation harnesses that test multi-step behaviour, not just single answers
- Observability: traces of every decision and action for debugging and audit
- Safety controls: budgets, rate limits, sandboxing and fallback behaviour
Best for
Organisations with multi-step knowledge or operational work, teams exploring AI beyond chat, and product companies building agent features.
How we work
- Choose a bounded, valuable task. 2) Design architecture and permissions. 3) Build and evaluate with realistic scenarios. 4) Roll out gradually, widening autonomy as trust grows.
What you receive
Working agentic system, evaluation suite, trace and monitoring tooling, permission model and operating guide.
The result
AI that completes defined work reliably, with oversight you can explain to a customer or auditor.
Frequently asked questions
Is agentic AI ready for critical work?
It can be used in bounded, well-monitored settings. We start small, measure carefully and extend autonomy only when the evidence supports it.
How is this different from AI Agents?
Agentic AI is the design approach and architecture. AI Agents covers building specific agents for particular jobs.