COMOVA / AI agents
Focused agents with useful tools and explicit boundaries.
An agent needs more than a prompt. Its available actions, access permissions, approval steps, and failure paths should be designed around the work it is allowed to perform.
01 / WHAT WE BUILD
From the problem
to a useful system.
Start with a defined scope, review the existing workflow, and agree how the result will be evaluated.
- Internal research and knowledge agents
- Support and operations assistants
- Tool integrations with approval steps
02 / ENGINEERING APPROACH
A connected foundation.
ILLUSTRATIVE ARCHITECTURE
- 01Business requirements
- 02Information & access
- 03Application capabilities
- 04Connected workflows
- 05Review & operation
INDIVIDUAL CAPABILITIESONE DIRECTION
Make the decisions explicit.
Define the source of truth, the user journey, the integration boundaries, and the behavior when something needs human attention. The final architecture follows your project requirements.
Explore the delivery process03 / RELATED SOLUTIONS
See the approach in context.
AI + AUTOMATION01
Customer support automation
Give routine questions a clear path to useful answers.
Support channelsApproved knowledgeAssisted response
EXPLORE THE ARCHITECTURE
INTELLIGENCE02
Internal AI knowledge
Make company knowledge accessible, with context.
Approved documentsAccess-aware retrievalLanguage model
EXPLORE THE ARCHITECTURE
AI + DATA03
AI document processing
Turn incoming documents into reviewable data.
Document intakeExtractionValidation & review
EXPLORE THE ARCHITECTURE
04 / BEFORE WE BEGIN
A few useful questions.
THE NEXT SYSTEM STARTS WITH A CONVERSATION
Ready to build
the system?
Tell us what you’re trying to build, automate or scale.
Start a Project