Service
Agentic AI
Agentic AI covers the design and delivery of AI agents as the product: from architecture and proof of concept to production and ongoing operation. Every engagement starts by testing whether an agent is justified at all, and sets autonomy, tool permissions and human oversight per action before anything is built.
Project or delivery team
Who it is for
- CTOs and engineering leads building AI-native products or internal agents
- Operations teams with repeated, evidence-heavy work that people assemble by hand today
- Organizations whose agent pilot works in a demo but not reliably in production
What is included
- Agent architecture design and review
- Architecture for agents, tools and integrations, for example on AWS Bedrock and AgentCore.
- Risk and autonomy assessment
- Classify intended actions by consequence, reversibility and data sensitivity, then set the autonomy level, tool scope and escalation path.
- Evaluation and observability
- Test sets, evaluations and tracing that show whether the agent works on real cases.
- Implementation
- Build and integration with a delivery team scaled as needed.
- Operation and improvement
- Maintenance, regression evaluation and iterative improvement after launch.
What you get
- A decision, backed by evidence, on whether an agent is the right tool
- An agent with defined autonomy, permissions and human approval points
- Evaluations and monitoring your team can run after handover
Scope
Agentic AI builds the agent as the product. How your engineering team builds software with coding agents is Agentic Engineering. If a simpler, non-agent solution passes the same tests, that is the recommendation.
Frequently asked questions
Should an agent act autonomously?
Autonomy is set per action, not per agent. Low-consequence, reversible actions can run with more autonomy; consequential ones keep a human approval step.
Do you build multi-agent systems?
When a task genuinely separates into parts that a single agent handles poorly. More agents are added only after a simpler design has been shown to fail.
How do you know the agent works?
Through evaluations on held-out real cases, agreed acceptance criteria, and tracing in production, not demos.
Interested in Agentic AI?
Start a conversation about your context, or take the free 5-minute AI maturity snapshot first.