Overview
Future Tech designs and implements AWS solutions for organizations moving AI workloads from experimentation into production.
We integrate emergent compute patterns, data pipelines, foundation-model applications, and agentic workflows with the customer’s existing systems and operating model.
Our AI token economics work measures token consumption and inference cost by model, agent, workflow, user, and business outcome. We implement budgets, quotas, routing policies, rate controls, chargeback or showback, and dashboards so teams can balance performance, quality, and cost.
Our agentic operations work adds identity, least-privilege access, human approval points, evaluation, CI/CD, audit trails, observability, and continuous improvement using AWS services such as Amazon Bedrock, Bedrock AgentCore, Amazon SageMaker, Amazon CloudWatch, AWS CloudTrail, AWS IAM, AWS Budgets, AWS Cost Explorer, Amazon S3, AWS Lambda, Amazon ECS or Amazon EKS, and Amazon API Gateway.
Highlights
- Implement observable, governed AI and agentic workflows on AWS
- Measure token usage, inference cost, quality, and business value across models and agents
- Integrate emergent compute, enterprise data, APIs, security controls, and operating processes
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Support
Vendor support
Future Tech provides implementation support, architecture guidance, deployment documentation, knowledge transfer, and post-launch stabilization. Support may include issue triage, configuration updates, observability review, cost and token-usage optimization, agent evaluation review, and operating-model improvements. Support contact: jkuiper@ftei.com . Engagement scope, response targets, and any ongoing managed support are defined in the applicable private offer. Secondary contact: mcwilson@ftei.com .