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Agentic AI
AI agents that think, decide and act on your behalf
Multi-step AI agents built on AWS Bedrock Agents, Lambda and Step Functions. They do not just answer questions — they complete tasks end-to-end.
What agentic AI can do for your business
These are not chatbots. Agentic AI systems reason about goals, break them into steps and execute actions autonomously — with full audit trails and human-in-the-loop controls.
Automated Workflows
Replace manual multi-step processes with AI agents that can query databases, call APIs, make decisions and trigger downstream actions — all without human intervention.
Data Enrichment
Agents that pull data from multiple sources, cross-reference records, validate accuracy and update your systems of record. Ideal for CRM enrichment, lead scoring and market research.
Customer Service Automation
AI agents that handle complex customer queries end-to-end — checking order status, processing returns, updating accounts and escalating to humans only when necessary.
Compliance and Audit
Agents that continuously monitor regulatory changes, compare against your policies, flag gaps and generate compliance reports — reducing audit preparation from weeks to hours.
Automate your most time-consuming workflows
Book a discovery call and we will identify the workflows in your business that are best suited to agentic AI — with a clear ROI estimate.
The technology behind our agents
Every agent is built entirely on AWS-native services. No third-party orchestration frameworks, no vendor lock-in outside your AWS account.
Amazon Bedrock Agents
The orchestration layer. Bedrock Agents handle reasoning, planning and tool selection — deciding which actions to take and in what order to complete a task.
AWS Lambda
The action layer. Lambda functions execute the actual work — querying databases, calling external APIs, sending notifications and updating records.
AWS Step Functions
The workflow layer. Step Functions manage complex multi-stage processes with error handling, retries, parallel execution and human approval gates.
Amazon Bedrock Knowledge Bases
The memory layer. Knowledge bases give agents access to your documents, policies and historical data using Retrieval-Augmented Generation.
How we build agentic AI solutions
01
Workflow mapping and goal definition
We map your existing process, identify decision points and define what success looks like for the agent. Every agent starts with a clear, measurable objective.
02
Tool design and integration
We build Lambda functions for each action the agent needs to take — API calls, database queries, notifications. Each tool has a strict schema and permission boundary.
03
Agent orchestration and testing
We configure Bedrock Agents with the right model, tools and knowledge bases. Extensive testing covers edge cases, error handling and guardrails for out-of-scope requests.
04
Production deployment and monitoring
Deployed with CI/CD, full CloudWatch observability, cost tracking per invocation and human-in-the-loop approval gates for high-stakes actions.
Frequently asked questions
Related AI services
Let AI agents handle the repetitive work
Book a free discovery call and we will identify the best candidate workflows for agentic AI in your organisation.