Enterprise Services
Agent / Application Build
A Superwise-led engagement that builds a working AI Agent inside your environment — turning “what is an Agent” into a live, demonstrable example your team can see and touch.
Guided agent build
Superwise engineers embed with your team to build a working Agent inside your environment.
- Purpose-built or frontier-model approach chosen per use case
- Guardrails and observability wired in from day one
- Deployed against sandbox or limited-scope data sources
Expected outcome
A live, demonstrable AI Agent your team can operate and extend.
- Working Agent/application demo in the customer environment
- Documentation on how the Agent works and how to extend it
- “Art of the possible” roadmap for the next use cases
What's involved in the build
1
Use Case Selection
- •Partner with sponsor to select 1–2 low-risk, high-visibility workflows
- •Confirm success criteria, scope, and stakeholders
2
Agent Design
- •Define Agent scope, inputs/outputs, and guardrails
- •Select purpose-built vs. frontier-model approach
3
Build & Configure
- •Configure Agent(s) using Superwise Agent Marketplace components
- •Connect to sandbox or limited-scope data sources
4
Test & Validate
- •Functional and edge-case testing; guardrail validation
- •Stakeholder user acceptance testing (UAT)
5
Enablement
- •Hands-on walkthrough and training for the customer team
- •Documentation on how the Agent works and how to extend it
6
Deliverable & Readout
- •Working Agent/application demo in the customer's environment
- •“Art of the possible” roadmap for the next use cases
Next step
Best suited for organizations early in AI maturity per the Readiness Assessment. Engage the Build to put a working Agent in front of your team.